{ "language": "en", "duration": 840.5333125, "text": "Everyone and their mom is talking about one GitHub repo right now.\nIt's called REA, and that stands for Reverse Engineer Anything.\nYou point Claude at an app you don't have the code for, and Claude figures out how it\nworks.\nThen you can rebuild it from scratch for free.\nIt has over 149,000 stars on GitHub, but here's the weird part.\nIt's six months old, and for almost all of that time, nobody cared.\nLast Wednesday, it had about\nLast Wednesday, it had about 13,000 stars.\nFive days later, it had 149,000.\nSo why is everyone talking about it now?\nIt blew up the same week someone used Claude\nto build free copies of Photoshop and six other Adobe apps.\nSo people were already asking how far AI can go with copying apps.\nREA showed up with an answer.\nOne post on X put it like this.\nWe spent years teaching AI to write software.\nNow we're teaching it to\nNow we're teaching it to take software apart.\nWhen I first saw it, I figured it was a hacker tool I'd never touch,\nbut it actually answers a question I've been stuck on since my last video,\nwhich was about those Adobe copies.\nIf anyone can copy an app, what are people going to pay for?\nSo here's a quick test you can run on your own product right now.\nAsk yourself one question about whatever you sell.\nIf someone copied my product perfectly tomorrow, why?\nTomorrow, why would my customers stay?\nWhatever your answer is, that's your moat.\nA moat is just the thing that keeps competitors from copying you.\nAnd if you can't answer that question, you first need to give your customers a reason to stay.\nMaybe you answer their messages the same day.\nMaybe you already know their business inside and out.\nMaybe they just like working with you.\nNone of those have anything to do with your code.\nGet one of those first before you worry about anyone copying your app.\napp. So I'll show you what REA actually does and who should and shouldn't touch it.\nThen I'll give you the three things people will still pay for when anyone can copy anything.\nThe third one is the one I'm betting my whole business on. If you like building cool things\nwith Claude, I co-founded the Claude Code Club. That's where we build stuff like this together\nand the links in my description. Before any of that, you need to understand one thing.\nEvery app on your computer is a sealed box.\nyour computer is a sealed box.\nPhotoshop, Notion, the game you played as a kid.\nYou get the box, but you never get the code inside it.\nFor a long time, opening that box took a specialist and a lot of patience.\nWhat the REA repo does is hand that sealed box to Claude\nso Claude can open it up and see how the app works.\nSo what is REA really?\nWell, REA is a free add on for your agent.\nIt works with Claude Code, Codex Cursor, Gemini CLI and a\nGemini CLI, and a few others. It plugs in through something called MCP, which is just a way to give\nClaude new tools. Installing it is easy. Just paste the GitHub link into Claude code and say,\ninstall this for me. Claude sets it up, and then you restart Claude code. Pro tip, before you\ninstall it, paste the same link and ask Claude what this repo does and how you could use it.\nNow, Claude has a toolbox for looking inside apps, so here's how it works under the hood.\nWhen a company ships an app, its code gets turned into machine code.\nThat's the ones and zeros your computer runs and a human can't read it.\nThere are other programs that turn machine code back into something a human can read.\nThe big ones are called Ghidra, Hopper and IDA.\nGhidra is free and fun fact, the NSA built it.\nREA lets Claude drive those programs for you.\nClaude asks a question.\nREA digs into the app and it shows you the exact spots in the app that prove its answer.\napp that prove its answer so you know it isn't guessing. It also tells you what it couldn't\nfigure out. Think of it like a chef at a restaurant. Normal coding with Claude is cooking from a\nrecipe card. You have the formula so you can make it. REA is the chef who can figure out the entire\nrecipe and every ingredient from a single bite. The example prompt in their own repo is simple.\nYou type this into Claude. Understand how search works in the Notes app, show me the evidence,\nand build a similar feature for my project.\nfeature for my project. Swap notes for any app and swap search for any feature you like.\nThe last part is the line that got everyone talking. Build a similar feature for my project.\nAnother pro tip is give Claude screenshots of the feature you want or tell it to open the app\nand look for itself. The more Claude can see, the better it does. So how far can it actually go?\nThe use cases people have come up with are wild. So what are people actually building with it?\nwith it? Well, here are three real examples. The first use case comes from a developer named\nMukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free\ntoolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code\nfor that app is public, so he could check REA's answers against what Microsoft actually built.\nREA got eight out of nine findings fully right. Then he used what it found to build his own color\npicker in under 750 lines of code.\nlines of code. The second use case is a game called DX ball. It's a brick breaker game from\nthe 1990s. One developer even used REA to find the exact math the game uses to move the sound\nfrom your left speaker to your right as the ball moves. Then they rebuilt that math from scratch.\nThe rebuilt version matched the original game in all 3,205 tests down to the exact\nbytes. That's a 30 year old game rebuilt without ever seeing its code. And the third\nseeing its code. And the third use case is the one that made me stop scrolling. Another developer\npointed REA at a free trial of QuickBooks, the accounting app. Then they built their own open\nsource accounting app with invoices, bank imports, and reports. Even they say REA didn't hand them\nthe original code or a finished product in one step and that it took real work. But think about\nthat. One person studied a paid app that's worth billions of dollars and built their own version of\nand built their own version of it.\nAnd it goes way past desktop apps.\nThe repo lists websites, Android apps,\nthe code inside devices, and even crash reports.\nNow, some people on X say a lot of those stars are just hype,\npeople clicking a star to save it for later, and that's fair.\nBut the downloads tell the same story.\nIn September, the install package\ngot downloaded about 100 times a week.\nLast week, it got downloaded 128,470 times.\nSo people aren't just starring it,\nSo people aren't just starring it,\nthey're actually installing it.\nBut just because you can point REA at any app\ndoesn't mean you should.\nSo should you install it?\nI'll give you my honest take,\nand it might not be the one you expect.\nThink of REA like a locksmith set of picks.\nOwning one is legal.\nWhat you open with it is the part that matters.\nThe makers are really clear about this.\nREA is for security, research, learning,\nmaking your own app work with other apps,\nsaving old software, and checking software you own.\nTheir own rules say they won't help you break copy protection,\nbuild game cheats, or copy someone else's paid software.\nSo that QuickBook project sits right in the gray area.\nStudying how an app works is one thing,\ncopying it is another,\nand trying to sell your own copy of someone else's product\nis a major red flag.\nAnd reverse engineering an app can break its license agreement\ndepending on where you live and what you agree to.\nI'm not a lawyer, so if you're doing this for a business,\nfor a business ask one so who should use it if you do security work this was built for you if your\ncompany still runs an old tool and nobody has the code anymore this is huge for you and if you want\nto understand how a feature works so you can build your own version it's an amazing way to learn so\nwho shouldn't use it if you haven't shipped your first project with claude yet skip it for now the\ndeep stuff needs extra programs like hopper or gidra and it gets technical fast i've never written\nI've never written a line of code by hand in my life.\nI build with Claude every single day, and I'm still not the main user for this tool.\nSo for most of you, the tool itself isn't what matters.\nWhat it means for the apps you build is what matters.\nBecause REA isn't the only repo like this.\nA couple of days ago, I made a whole video about another one called Artcraft.\nAnd when you put Artcraft and REA together, it all comes down to one simple question.\nIf anyone can copy anything, what are people actually going to pay for?\nactually going to pay for? To answer that, you need to see what Artcraft pulled off.\nAn engineer named Brandon Thomas used Claude to build free open source copies of seven Adobe\napps, including Photoshop, Premiere, and Lightroom. The Photoshop copy alone got over 24,000 stars on\nGitHub in eight days, and his team never touched Adobe's code. They rebuilt every app from scratch\nusing public documents and by studying how Adobe's apps look and behave. If you want the full\nbreakdown of all seven apps. I'll link that.\nof all seven apps, I'll link that video right here.\nSo put those two repos side by side.\nArtcraft never opened Adobe Sealed Box.\nThey rebuilt the apps from scratch from the outside.\nREA opens the box and looks inside\nall the way down to the machine code.\nSo now Quad can rebuild an app from the outside\nand look at one from the inside\nso there's not much left of an app that stays hidden.\nNow, are the copies as good as the real thing?\nNot yet.\nArtcraft's own team says their Photoshop copy\nPhotoshop copy isn't ready for daily professional work, but the cost of copying an app just\ndropped like a rock and it keeps dropping.\nSo back to that question.\nIf anyone can copy anything, what are people going to pay for?\nAnd honestly, the answer was sitting in my own business the whole time.\nThe Quad Code Club is $9 a month and has over 8,000 members.\nAnd there's a lot of content about Quad Code on YouTube for free, but people pay anyway.\nSo why?\nWhy?\nBecause they like the way we teach.\nBecause they like the way we teach, so they trust us.\nAnd free YouTube is a lot of noise.\nYou watch 10 different people and you still don't know what to do first.\nInside the club, you get a clear structure and you know exactly what to focus on next.\nSo they believe the club gets them better results in less time and with less effort,\nand they feel more sure it'll actually work.\nSo the content was never the thing they were paying for.\nSo here are the three things they are paying for\nand the three things people will still pay for when anyone can.\npay for when anyone can copy anything well the first thing people will still pay for is the result\npicture two products built on the exact same code one is a 49 a month app that helps you write\nlinkedin posts the other is 500 a month and it books sales calls for you from linkedin the code\nunderneath is the same but one charges 10 times more the first one sells a tool and anyone with\nClaude can copy a tool. The second one sells a result, and a result\na result and a result needs someone who knows what works,\nkeeps tuning it and stands behind it.\nThe closer you get to the money your customer actually wants,\nthe harder you are to copy.\nThink about photos.\nYour phone made taking a photo free,\nbut wedding photographers still charge thousands\nbecause couples pay for the day to be captured right\nby someone they trust.\nAnd that word trust leads right into the second thing.\nThe second thing people will still pay for\nis someone who answers when it breaks.\nanswers when it breaks. Say you run a business doing $2 million a year. Remember that QuickBooks\ncopy from earlier? You can run your books on a free accounting app that a stranger rebuilt from\na trial. Or you can pay for the real one with backup support and a phone number. Your numbers\ncome out wrong the week your taxes are due. Which one do you want? Free code is cheap until it\nbreaks. Then it's the most expensive thing you own. So as apps get easier to copy, the person\nstanding behind the app gets more valuable. That's the second thing.\nBut the third one matters more than both, and it's the one I'm betting my whole business\non.\nThe third thing people will still pay for is you, and the people who already trust you.\nPicture what happens next.\nWhen anyone can build an app in a weekend, there won't be 10 apps for every problem.\nThere will be 10,000.\nSo the hard part stops being building the thing.\nThe hard part becomes getting anyone to care.\nThe person who already has an audience, a community, or a list of customers who trust them\ncustomers who trust them wins that game. They can build something on Monday and have buyers by Friday.\nThat's why I spend my time on YouTube and in the Cloud Code Club and almost no time worrying about\nsomeone copying my stuff. Someone could copy every lesson in the club tomorrow. They can't copy the\n8,000 people in the club who already know me. So does all this mean software is dead? No. It means\nthe part of an app's price that came from this was hard to build is going away. And the result,\nthe support, the trust behind\nthe support, the trust behind an app, and your ability to get traffic and win customers are all\ngetting more valuable every month. So here's the recap. REA lets Claude look inside apps without\nhaving the code. Use it if you do security work, rescue old software, or want to learn how a feature\nworks. Skip it if you're just getting started. And when anyone can copy anything, people still\npay for three things. They pay for the result, for someone who answers when it breaks, and for\nthe people who already trust you.\nalready trust you. So here's your one thing for this week. Ask the question from the start of\nthis video. If someone copied my product perfectly tomorrow, why would my customers stay? Write your\nanswer down in one sentence, then check your product against the three things people still\npay for. First, can your customers point to a real result like more sales or hours saved every week?\nSecond, if something breaks, do they know they can reach you and get it fixed? And third,\nDo people already know and trust you?\nAnd do you have a way to get in front?\nyou have a way to get in front of new customers.\nEvery yes is part of your moat.\nFind the one that's a no and spend this week fixing it.\nAnd if you want to build things with Claude\nthat people will actually pay for,\nthat's what the Claude Code Club is for.\nIt's a step-by-step path to master Claude Code in 45 days\nand it has lessons on turning what you build\ninto something people pay for.\nIt's $9 a month and the link's in the description.\nAnyone can copy your app now,\nnobody can copy the people who trust you.", "segments": [ { "start": 0.52, "end": 3.9, "text": "Everyone and their mom is talking about one GitHub repo right now.", "raw_asr_text": "Everyone and their mom is talking about one GitHub repo right now.", "source_language": "en", "source_lang": "en", "asr_packet_id": 0, "words": [ { "word": " Everyone", "start": 0.4800000000000002, "end": 0.78, "probability": 0.412109375 }, { "word": " and", "start": 0.78, "end": 0.94, "probability": 0.7607421875 }, { "word": " their", "start": 0.94, "end": 1.04, "probability": 0.99658203125 }, { "word": " mom", "start": 1.04, "end": 1.34, "probability": 0.9921875 }, { "word": " is", "start": 1.34, "end": 1.6, "probability": 0.9970703125 }, { "word": " talking", "start": 1.6, "end": 1.86, "probability": 0.9990234375 }, { "word": " about", "start": 1.86, "end": 2.16, "probability": 0.9990234375 }, { "word": " one", "start": 2.16, "end": 2.58, "probability": 0.99462890625 }, { "word": " GitHub", "start": 2.58, "end": 2.96, "probability": 0.9599609375 }, { "word": " repo", "start": 2.96, "end": 3.38, "probability": 0.9873046875 }, { "word": " right", "start": 3.38, "end": 3.6, "probability": 0.9814453125 }, { "word": " now.", "start": 3.6, "end": 3.9, "probability": 0.99853515625 } ], "asr_metrics": { "avg_logprob": -0.17286143682699287, "compression_ratio": 1.5112781954887218, "no_speech_prob": 1.8981650019150864e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "Everyone and their mom is talking about one GitHub repo right now. 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Get one of those first before you worry about anyone copying your app. So I'll show you" } ], "id": 28, "review_annotation": "", "row_id": 28, "bounded_row_id": 28, "parent_row_ids": [ 28 ], "parent_row_id": 28, "packet_id": 3, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 83.57000000000002, "packet_end": 113.16000000000001, "raw_text": "A moat is just the thing that keeps competitors from copying you.", "selected_text": "A moat is just the thing that keeps competitors from copying you.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 28 ], "packet_id": 3, "engine": "mlx-whisper" } ] }, { "start": 92.25000000000003, "end": 97.51000000000002, "text": "And if you can't answer that question, you first need to give your customers a reason to stay.", "raw_asr_text": "And if you can't answer that question, you first need to give your customers a reason to stay.", "source_language": "en", "source_lang": "en", "asr_packet_id": 3, "words": [ { "word": " And", "start": 92.25000000000003, "end": 92.71000000000002, "probability": 0.99365234375 }, { "word": " if", "start": 92.71000000000002, "end": 92.83000000000003, "probability": 0.998046875 }, { "word": " you", "start": 92.83000000000003, "end": 92.93000000000002, "probability": 0.99951171875 }, { "word": " can't", "start": 92.93000000000002, "end": 93.25000000000003, "probability": 0.9990234375 }, { "word": " answer", "start": 93.25000000000003, "end": 93.63000000000002, "probability": 0.99951171875 }, { "word": " that", "start": 93.63000000000002, "end": 93.91000000000003, "probability": 0.9990234375 }, { "word": " question,", "start": 93.91000000000003, "end": 94.35000000000002, "probability": 0.99951171875 }, { "word": " you", "start": 94.57000000000002, "end": 94.75000000000003, "probability": 0.998046875 }, { "word": " first", "start": 94.75000000000003, "end": 95.01000000000002, "probability": 0.99951171875 }, { "word": " need", "start": 95.01000000000002, "end": 95.21000000000002, "probability": 0.9990234375 }, { "word": " to", "start": 95.21000000000002, "end": 95.39000000000001, "probability": 1.0 }, { "word": " give", "start": 95.39000000000001, "end": 95.67000000000002, "probability": 0.9990234375 }, { "word": " your", "start": 95.67000000000002, "end": 95.87000000000002, "probability": 0.998046875 }, { "word": " customers", "start": 95.87000000000002, "end": 96.33000000000003, "probability": 0.9990234375 }, { "word": " a", "start": 96.33000000000003, "end": 96.69000000000003, "probability": 0.9990234375 }, { "word": " reason", "start": 96.69000000000003, "end": 96.97000000000003, "probability": 1.0 }, { "word": " to", "start": 96.97000000000003, "end": 97.19000000000003, "probability": 0.99951171875 }, { "word": " stay.", "start": 97.19000000000003, "end": 97.51000000000002, "probability": 0.99755859375 } ], "asr_metrics": { "avg_logprob": -0.18557798294793992, "compression_ratio": 1.773851590106007, "no_speech_prob": 2.7831289790142266e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "Tomorrow, why would my customers stay? Whatever your answer is, that's your moat. A moat is just the thing that keeps competitors from copying you. And if you can't answer that question, you first need to give your customers a reason to stay. Maybe you answer their messages the same day. Maybe you already know their business inside and out. Maybe they just like working with you. None of those have anything to do with your code. Get one of those first before you worry about anyone copying your app. So I'll show you" } ], "id": 29, "review_annotation": "", "row_id": 29, "bounded_row_id": 29, "parent_row_ids": [ 29 ], "parent_row_id": 29, "packet_id": 3, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 83.57000000000002, "packet_end": 113.16000000000001, "raw_text": "And if you can't answer that question, you first need to give your customers a reason to stay.", "selected_text": "And if you can't answer that question, you first need to give your customers a reason to stay.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 29 ], "packet_id": 3, "engine": "mlx-whisper" } ] }, { "start": 97.75000000000003, "end": 99.91000000000003, "text": "Maybe you answer their messages the same day.", "raw_asr_text": "Maybe you answer their messages the same day.", "source_language": "en", "source_lang": "en", "asr_packet_id": 3, "words": [ { "word": " Maybe", "start": 97.75000000000003, "end": 98.19000000000003, "probability": 0.99853515625 }, { "word": " you", "start": 98.19000000000003, "end": 98.31000000000002, "probability": 0.99658203125 }, { "word": " answer", "start": 98.31000000000002, "end": 98.57000000000002, "probability": 0.9931640625 }, { "word": " their", "start": 98.57000000000002, "end": 98.73000000000002, "probability": 0.998046875 }, { "word": " messages", "start": 98.73000000000002, "end": 99.13000000000002, "probability": 0.99462890625 }, { "word": " the", "start": 99.13000000000002, "end": 99.47000000000003, "probability": 0.99609375 }, { "word": " same", "start": 99.47000000000003, "end": 99.65000000000002, "probability": 1.0 }, { "word": " day.", "start": 99.65000000000002, "end": 99.91000000000003, "probability": 0.9990234375 } ], "asr_metrics": { "avg_logprob": -0.18557798294793992, "compression_ratio": 1.773851590106007, "no_speech_prob": 2.7831289790142266e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "Tomorrow, why would my customers stay? Whatever your answer is, that's your moat. A moat is just the thing that keeps competitors from copying you. And if you can't answer that question, you first need to give your customers a reason to stay. Maybe you answer their messages the same day. Maybe you already know their business inside and out. Maybe they just like working with you. None of those have anything to do with your code. Get one of those first before you worry about anyone copying your app. So I'll show you" } ], "id": 30, "review_annotation": "", "row_id": 30, "bounded_row_id": 30, "parent_row_ids": [ 30 ], "parent_row_id": 30, "packet_id": 3, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 83.57000000000002, "packet_end": 113.16000000000001, "raw_text": "Maybe you answer their messages the same day.", "selected_text": "Maybe you answer their messages the same day.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 30 ], "packet_id": 3, "engine": "mlx-whisper" } ] }, { "start": 100.21000000000002, "end": 102.37000000000002, "text": "Maybe you already know their business inside and out.", "raw_asr_text": "Maybe you already know their business inside and out.", "source_language": "en", "source_lang": "en", "asr_packet_id": 3, "words": [ { "word": " Maybe", "start": 100.21000000000002, "end": 100.39000000000001, "probability": 0.998046875 }, { "word": " you", "start": 100.39000000000001, "end": 100.51000000000002, "probability": 0.99853515625 }, { "word": " already", "start": 100.51000000000002, "end": 100.75000000000003, "probability": 0.99951171875 }, { "word": " know", "start": 100.75000000000003, "end": 101.01000000000002, "probability": 1.0 }, { "word": " their", "start": 101.01000000000002, "end": 101.19000000000003, "probability": 0.99853515625 }, { "word": " business", "start": 101.19000000000003, "end": 101.51000000000002, "probability": 0.99951171875 }, { "word": " inside", "start": 101.51000000000002, "end": 101.95000000000002, "probability": 0.9873046875 }, { "word": " and", "start": 101.95000000000002, "end": 102.17000000000002, "probability": 0.99462890625 }, { "word": " out.", "start": 102.17000000000002, "end": 102.37000000000002, "probability": 0.99755859375 } ], "asr_metrics": { "avg_logprob": -0.18557798294793992, "compression_ratio": 1.773851590106007, "no_speech_prob": 2.7831289790142266e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "Tomorrow, why would my customers stay? Whatever your answer is, that's your moat. A moat is just the thing that keeps competitors from copying you. And if you can't answer that question, you first need to give your customers a reason to stay. Maybe you answer their messages the same day. Maybe you already know their business inside and out. Maybe they just like working with you. None of those have anything to do with your code. Get one of those first before you worry about anyone copying your app. So I'll show you" } ], "id": 31, "review_annotation": "", "row_id": 31, "bounded_row_id": 31, "parent_row_ids": [ 31 ], "parent_row_id": 31, "packet_id": 3, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 83.57000000000002, "packet_end": 113.16000000000001, "raw_text": "Maybe you already know their business inside and out.", "selected_text": "Maybe you already know their business inside and out.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 31 ], "packet_id": 3, "engine": "mlx-whisper" } ] }, { "start": 102.61000000000001, "end": 104.73000000000002, "text": "Maybe they just like working with you.", "raw_asr_text": "Maybe they just like working with you.", "source_language": "en", "source_lang": "en", "asr_packet_id": 3, "words": [ { "word": " Maybe", "start": 102.61000000000001, "end": 102.97000000000003, "probability": 0.99853515625 }, { "word": " they", "start": 102.97000000000003, "end": 103.23000000000002, "probability": 0.99755859375 }, { "word": " just", "start": 103.23000000000002, "end": 103.51000000000002, "probability": 0.99462890625 }, { "word": " like", "start": 103.51000000000002, "end": 103.85000000000002, "probability": 0.998046875 }, { "word": " working", "start": 103.85000000000002, "end": 104.33000000000003, "probability": 0.99951171875 }, { "word": " with", "start": 104.33000000000003, "end": 104.55000000000003, "probability": 0.99951171875 }, { "word": " you.", "start": 104.55000000000003, "end": 104.73000000000002, "probability": 0.99755859375 } ], "asr_metrics": { "avg_logprob": -0.18557798294793992, "compression_ratio": 1.773851590106007, "no_speech_prob": 2.7831289790142266e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "Tomorrow, why would my customers stay? Whatever your answer is, that's your moat. A moat is just the thing that keeps competitors from copying you. And if you can't answer that question, you first need to give your customers a reason to stay. Maybe you answer their messages the same day. Maybe you already know their business inside and out. Maybe they just like working with you. None of those have anything to do with your code. Get one of those first before you worry about anyone copying your app. So I'll show you" } ], "id": 32, "review_annotation": "", "row_id": 32, "bounded_row_id": 32, "parent_row_ids": [ 32 ], "parent_row_id": 32, "packet_id": 3, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 83.57000000000002, "packet_end": 113.16000000000001, "raw_text": "Maybe they just like working with you.", "selected_text": "Maybe they just like working with you.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 32 ], "packet_id": 3, "engine": "mlx-whisper" } ] }, { "start": 104.91000000000003, "end": 107.25000000000003, "text": "None of those have anything to do with your code.", "raw_asr_text": "None of those have anything to do with your code.", "source_language": "en", "source_lang": "en", "asr_packet_id": 3, "words": [ { "word": " None", "start": 104.91000000000003, "end": 105.29000000000002, "probability": 0.9970703125 }, { "word": " of", "start": 105.29000000000002, "end": 105.39000000000001, "probability": 1.0 }, { "word": " those", "start": 105.39000000000001, "end": 105.57000000000002, "probability": 0.9990234375 }, { "word": " have", "start": 105.57000000000002, "end": 105.79000000000002, "probability": 0.99853515625 }, { "word": " anything", "start": 105.79000000000002, "end": 106.17000000000002, "probability": 0.99951171875 }, { "word": " to", "start": 106.17000000000002, "end": 106.43000000000002, "probability": 0.99951171875 }, { "word": " do", "start": 106.43000000000002, "end": 106.55000000000003, "probability": 0.99951171875 }, { "word": " with", "start": 106.55000000000003, "end": 106.71000000000002, "probability": 1.0 }, { "word": " your", "start": 106.71000000000002, "end": 106.87000000000002, "probability": 0.99951171875 }, { "word": " code.", "start": 106.87000000000002, "end": 107.25000000000003, "probability": 0.9990234375 } ], "asr_metrics": { "avg_logprob": -0.18557798294793992, "compression_ratio": 1.773851590106007, "no_speech_prob": 2.7831289790142266e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "Tomorrow, why would my customers stay? 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Get one of those first before you worry about anyone copying your app. So I'll show you" } ], "id": 33, "review_annotation": "", "row_id": 33, "bounded_row_id": 33, "parent_row_ids": [ 33 ], "parent_row_id": 33, "packet_id": 3, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 83.57000000000002, "packet_end": 113.16000000000001, "raw_text": "None of those have anything to do with your code.", "selected_text": "None of those have anything to do with your code.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 33 ], "packet_id": 3, "engine": "mlx-whisper" } ] }, { "start": 107.39000000000001, "end": 111.77000000000002, "text": "Get one of those first before you worry about anyone copying your app.", "raw_asr_text": "Get one of those first before you worry about anyone copying your app.", "source_language": "en", "source_lang": "en", "asr_packet_id": 3, "words": [ { "word": " Get", "start": 107.39000000000001, "end": 107.85000000000002, "probability": 0.99755859375 }, { "word": " one", "start": 107.85000000000002, "end": 108.05000000000003, "probability": 0.99951171875 }, { "word": " of", "start": 108.05000000000003, "end": 108.15000000000002, "probability": 0.99951171875 }, { "word": " those", "start": 108.15000000000002, "end": 108.37000000000002, "probability": 0.99951171875 }, { "word": " first", "start": 108.37000000000002, "end": 108.83000000000003, "probability": 0.99755859375 }, { "word": " before", "start": 108.83000000000003, "end": 109.25000000000003, "probability": 0.93408203125 }, { "word": " you", "start": 109.25000000000003, "end": 109.61000000000001, "probability": 0.99951171875 }, { "word": " worry", "start": 109.61000000000001, "end": 109.89000000000001, "probability": 0.9990234375 }, { "word": " about", "start": 109.89000000000001, "end": 110.21000000000002, "probability": 0.99951171875 }, { "word": " anyone", "start": 110.21000000000002, "end": 110.71000000000002, "probability": 0.99755859375 }, { "word": " copying", "start": 110.71000000000002, "end": 111.19000000000003, "probability": 0.99853515625 }, { "word": " your", "start": 111.19000000000003, "end": 111.45000000000002, "probability": 0.9990234375 }, { "word": " app.", "start": 111.45000000000002, "end": 111.77000000000002, "probability": 0.998046875 } ], "asr_metrics": { "avg_logprob": -0.18557798294793992, "compression_ratio": 1.773851590106007, "no_speech_prob": 2.7831289790142266e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "Tomorrow, why would my customers stay? Whatever your answer is, that's your moat. A moat is just the thing that keeps competitors from copying you. And if you can't answer that question, you first need to give your customers a reason to stay. Maybe you answer their messages the same day. Maybe you already know their business inside and out. Maybe they just like working with you. None of those have anything to do with your code. Get one of those first before you worry about anyone copying your app. So I'll show you" } ], "id": 34, "review_annotation": "", "row_id": 34, "bounded_row_id": 34, "parent_row_ids": [ 34 ], "parent_row_id": 34, "packet_id": 3, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 83.57000000000002, "packet_end": 113.16000000000001, "raw_text": "Get one of those first before you worry about anyone copying your app.", "selected_text": "Get one of those first before you worry about anyone copying your app.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 34 ], "packet_id": 3, "engine": "mlx-whisper" } ] }, { "start": 112.36000000000001, "end": 117.10000000000002, "text": "app. So I'll show you what REA actually does and who should and shouldn't touch it.", "raw_asr_text": "app. So I'll show you what REA actually does and who should and shouldn't touch it.", "source_language": "en", "source_lang": "en", "asr_packet_id": 4, "words": [ { "word": " app.", "start": 111.56000000000002, "end": 111.78000000000002, "probability": 0.499267578125 }, { "word": " So", "start": 111.92000000000002, "end": 112.32000000000002, "probability": 0.99609375 }, { "word": " I'll", "start": 112.32000000000002, "end": 112.64000000000001, "probability": 0.9580078125 }, { "word": " show", "start": 112.64000000000001, "end": 112.86000000000001, "probability": 0.99853515625 }, { "word": " you", "start": 112.86000000000001, "end": 113.06000000000002, "probability": 0.99853515625 }, { "word": " what", "start": 113.06000000000002, "end": 113.32000000000002, "probability": 0.998046875 }, { "word": " REA", "start": 113.32000000000002, "end": 113.88000000000001, "probability": 0.92578125 }, { "word": " actually", "start": 113.88000000000001, "end": 114.30000000000001, "probability": 0.98828125 }, { "word": " does", "start": 114.30000000000001, "end": 114.70000000000002, "probability": 0.99951171875 }, { "word": " and", "start": 114.70000000000002, "end": 115.06000000000002, "probability": 0.85888671875 }, { "word": " who", "start": 115.06000000000002, "end": 115.32000000000002, "probability": 0.998046875 }, { "word": " should", "start": 115.32000000000002, "end": 115.70000000000002, "probability": 0.998046875 }, { "word": " and", "start": 115.70000000000002, "end": 116.04000000000002, "probability": 0.91796875 }, { "word": " shouldn't", "start": 116.04000000000002, "end": 116.58000000000001, "probability": 0.9970703125 }, { "word": " touch", "start": 116.58000000000001, "end": 116.92000000000002, "probability": 0.99658203125 }, { "word": " it.", "start": 116.92000000000002, "end": 117.10000000000002, "probability": 0.99462890625 } ], "asr_metrics": { "avg_logprob": -0.11321609062060975, "compression_ratio": 1.6666666666666667, "no_speech_prob": 3.203483919106409e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "app. So I'll show you what REA actually does and who should and shouldn't touch it. 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Swap notes for any app and swap search for any feature you like.", "source_language": "en", "source_lang": "en", "asr_packet_id": 9, "words": [ { "word": " feature", "start": 251.51, "end": 251.85, "probability": 0.9443359375 }, { "word": " for", "start": 251.85, "end": 252.13, "probability": 0.98876953125 }, { "word": " my", "start": 252.13, "end": 252.35, "probability": 0.8994140625 }, { "word": " project.", "start": 252.35, "end": 252.76999999999998, "probability": 0.9931640625 }, { "word": " Swap", "start": 253.07, "end": 253.59, "probability": 0.9853515625 }, { "word": " notes", "start": 253.59, "end": 253.87, "probability": 0.97509765625 }, { "word": " for", "start": 253.87, "end": 254.14999999999998, "probability": 0.99755859375 }, { "word": " any", "start": 254.14999999999998, "end": 254.45, "probability": 0.9970703125 }, { "word": " app", "start": 254.45, "end": 254.73, "probability": 0.9970703125 }, { "word": " and", "start": 254.73, "end": 254.95, "probability": 0.95947265625 }, { "word": " swap", "start": 254.95, "end": 255.25, "probability": 0.9794921875 }, { "word": " search", "start": 255.25, "end": 255.48999999999998, "probability": 0.98583984375 }, { "word": " for", "start": 255.48999999999998, "end": 255.82999999999998, "probability": 0.99853515625 }, { "word": " any", "start": 255.82999999999998, "end": 256.21, "probability": 0.998046875 }, { "word": " feature", "start": 256.21, "end": 256.53, "probability": 0.9970703125 }, { "word": " you", "start": 256.53, "end": 256.69, "probability": 0.98583984375 }, { "word": " like.", "start": 256.69, "end": 256.96999999999997, "probability": 0.99462890625 } ], "asr_metrics": { "avg_logprob": -0.07573385896353886, "compression_ratio": 1.7756653992395437, "no_speech_prob": 2.325565304564514e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "feature for my project. Swap notes for any app and swap search for any feature you like. The last part is the line that got everyone talking. Build a similar feature for my project. Another pro tip is give Claude screenshots of the feature you want or tell it to open the app and look for itself. The more Claude can see, the better it does. So how far can it actually go? The use cases people have come up with are wild. So what are people actually building with it? Well, here are three real examples." } ], "id": 69, "review_annotation": "", "row_id": 69, "bounded_row_id": 69, "parent_row_ids": [ 69 ], "parent_row_id": 69, "packet_id": 9, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 251.51, "packet_end": 281.09999999999997, "raw_text": "feature for my project. Swap notes for any app and swap search for any feature you like.", "selected_text": "feature for my project. Swap notes for any app and swap search for any feature you like.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 69 ], "packet_id": 9, "engine": "mlx-whisper" } ] }, { "start": 257.13, "end": 262.75, "text": "The last part is the line that got everyone talking. Build a similar feature for my project.", "raw_asr_text": "The last part is the line that got everyone talking. Build a similar feature for my project.", "source_language": "en", "source_lang": "en", "asr_packet_id": 9, "words": [ { "word": " The", "start": 257.13, "end": 257.40999999999997, "probability": 0.98828125 }, { "word": " last", "start": 257.40999999999997, "end": 257.65, "probability": 0.9990234375 }, { "word": " part", "start": 257.65, "end": 257.87, "probability": 0.99755859375 }, { "word": " is", "start": 257.87, "end": 258.07, "probability": 0.998046875 }, { "word": " the", "start": 258.07, "end": 258.19, "probability": 0.99853515625 }, { "word": " line", "start": 258.19, "end": 258.46999999999997, "probability": 0.99755859375 }, { "word": " that", "start": 258.46999999999997, "end": 258.63, "probability": 0.9990234375 }, { "word": " got", "start": 258.63, "end": 258.81, "probability": 0.9990234375 }, { "word": " everyone", "start": 258.81, "end": 259.21, "probability": 0.998046875 }, { "word": " talking.", "start": 259.21, "end": 259.61, "probability": 0.99853515625 }, { "word": " Build", "start": 259.84999999999997, "end": 260.17, "probability": 0.97412109375 }, { "word": " a", "start": 260.17, "end": 260.40999999999997, "probability": 0.9990234375 }, { "word": " similar", "start": 260.40999999999997, "end": 260.89, "probability": 0.99755859375 }, { "word": " feature", "start": 260.89, "end": 261.39, "probability": 0.99853515625 }, { "word": " for", "start": 261.39, "end": 261.81, "probability": 0.99853515625 }, { "word": " my", "start": 261.81, "end": 262.27, "probability": 0.99072265625 }, { "word": " project.", "start": 262.27, "end": 262.75, "probability": 0.998046875 } ], "asr_metrics": { "avg_logprob": -0.07573385896353886, "compression_ratio": 1.7756653992395437, "no_speech_prob": 2.325565304564514e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "feature for my project. Swap notes for any app and swap search for any feature you like. The last part is the line that got everyone talking. Build a similar feature for my project. Another pro tip is give Claude screenshots of the feature you want or tell it to open the app and look for itself. The more Claude can see, the better it does. So how far can it actually go? The use cases people have come up with are wild. So what are people actually building with it? Well, here are three real examples." } ], "id": 70, "review_annotation": "", "row_id": 70, "bounded_row_id": 70, "parent_row_ids": [ 70 ], "parent_row_id": 70, "packet_id": 9, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 251.51, "packet_end": 281.09999999999997, "raw_text": "The last part is the line that got everyone talking. Build a similar feature for my project.", "selected_text": "The last part is the line that got everyone talking. Build a similar feature for my project.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 70 ], "packet_id": 9, "engine": "mlx-whisper" } ] }, { "start": 263.31, "end": 268.63, "text": "Another pro tip is give Claude screenshots of the feature you want or tell it to open the app", "raw_asr_text": "Another pro tip is give Claude screenshots of the feature you want or tell it to open the app", "source_language": "en", "source_lang": "en", "asr_packet_id": 9, "words": [ { "word": " Another", "start": 263.31, "end": 263.83, "probability": 0.9921875 }, { "word": " pro", "start": 263.83, "end": 264.03, "probability": 0.93310546875 }, { "word": " tip", "start": 264.03, "end": 264.27, "probability": 0.96923828125 }, { "word": " is", "start": 264.27, "end": 264.53, "probability": 0.99755859375 }, { "word": " give", "start": 264.53, "end": 264.89, "probability": 0.97705078125 }, { "word": " Claude", "start": 264.89, "end": 265.27, "probability": 0.90380859375 }, { "word": " screenshots", "start": 265.27, "end": 265.73, "probability": 0.9912109375 }, { "word": " of", "start": 265.73, "end": 266.05, "probability": 0.9990234375 }, { "word": " the", "start": 266.05, "end": 266.17, "probability": 0.99755859375 }, { "word": " feature", "start": 266.17, "end": 266.45, "probability": 0.99755859375 }, { "word": " you", "start": 266.45, "end": 266.63, "probability": 0.9970703125 }, { "word": " want", "start": 266.63, "end": 266.95, "probability": 0.99951171875 }, { "word": " or", "start": 266.95, "end": 267.23, "probability": 0.85546875 }, { "word": " tell", "start": 267.23, "end": 267.51, "probability": 0.9990234375 }, { "word": " it", "start": 267.51, "end": 267.69, "probability": 0.9990234375 }, { "word": " to", "start": 267.69, "end": 267.90999999999997, "probability": 0.998046875 }, { "word": " open", "start": 267.90999999999997, "end": 268.23, "probability": 0.99951171875 }, { "word": " the", "start": 268.23, "end": 268.40999999999997, "probability": 0.9990234375 }, { "word": " app", "start": 268.40999999999997, "end": 268.63, "probability": 0.9990234375 } ], "asr_metrics": { "avg_logprob": -0.07573385896353886, "compression_ratio": 1.7756653992395437, "no_speech_prob": 2.325565304564514e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "feature for my project. Swap notes for any app and swap search for any feature you like. The last part is the line that got everyone talking. Build a similar feature for my project. Another pro tip is give Claude screenshots of the feature you want or tell it to open the app and look for itself. The more Claude can see, the better it does. So how far can it actually go? The use cases people have come up with are wild. So what are people actually building with it? Well, here are three real examples." } ], "id": 71, "review_annotation": "", "row_id": 71, "bounded_row_id": 71, "parent_row_ids": [ 71 ], "parent_row_id": 71, "packet_id": 9, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 251.51, "packet_end": 281.09999999999997, "raw_text": "Another pro tip is give Claude screenshots of the feature you want or tell it to open the app", "selected_text": "Another pro tip is give Claude screenshots of the feature you want or tell it to open the app", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 71 ], "packet_id": 9, "engine": "mlx-whisper" } ] }, { "start": 268.63, "end": 274.34999999999997, "text": "and look for itself. The more Claude can see, the better it does. So how far can it actually go?", "raw_asr_text": "and look for itself. The more Claude can see, the better it does. So how far can it actually go?", "source_language": "en", "source_lang": "en", "asr_packet_id": 9, "words": [ { "word": " and", "start": 268.63, "end": 268.81, "probability": 0.998046875 }, { "word": " look", "start": 268.81, "end": 269.01, "probability": 0.9990234375 }, { "word": " for", "start": 269.01, "end": 269.23, "probability": 0.99951171875 }, { "word": " itself.", "start": 269.23, "end": 269.63, "probability": 0.99560546875 }, { "word": " The", "start": 269.96999999999997, "end": 270.19, "probability": 0.9990234375 }, { "word": " more", "start": 270.19, "end": 270.39, "probability": 0.99951171875 }, { "word": " Claude", "start": 270.39, "end": 270.71, "probability": 0.998046875 }, { "word": " can", "start": 270.71, "end": 270.84999999999997, "probability": 0.99853515625 }, { "word": " see,", "start": 270.84999999999997, "end": 271.13, "probability": 0.9990234375 }, { "word": " the", "start": 271.34999999999997, "end": 271.45, "probability": 0.99951171875 }, { "word": " better", "start": 271.45, "end": 271.61, "probability": 0.99951171875 }, { "word": " it", "start": 271.61, "end": 271.77, "probability": 0.99658203125 }, { "word": " does.", "start": 271.77, "end": 272.01, "probability": 0.9990234375 }, { "word": " So", "start": 272.19, "end": 272.46999999999997, "probability": 0.99169921875 }, { "word": " how", "start": 272.46999999999997, "end": 272.69, "probability": 0.97607421875 }, { "word": " far", "start": 272.69, "end": 273.01, "probability": 0.9990234375 }, { "word": " can", "start": 273.01, "end": 273.25, "probability": 0.9990234375 }, { "word": " it", "start": 273.25, "end": 273.43, "probability": 0.99755859375 }, { "word": " actually", "start": 273.43, "end": 273.89, "probability": 0.994140625 }, { "word": " go?", "start": 273.89, "end": 274.34999999999997, "probability": 0.99951171875 } ], "asr_metrics": { "avg_logprob": -0.07573385896353886, "compression_ratio": 1.7756653992395437, "no_speech_prob": 2.325565304564514e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "feature for my project. Swap notes for any app and swap search for any feature you like. The last part is the line that got everyone talking. Build a similar feature for my project. Another pro tip is give Claude screenshots of the feature you want or tell it to open the app and look for itself. The more Claude can see, the better it does. So how far can it actually go? The use cases people have come up with are wild. So what are people actually building with it? Well, here are three real examples." } ], "id": 72, "review_annotation": "", "row_id": 72, "bounded_row_id": 72, "parent_row_ids": [ 72 ], "parent_row_id": 72, "packet_id": 9, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 251.51, "packet_end": 281.09999999999997, "raw_text": "and look for itself. The more Claude can see, the better it does. So how far can it actually go?", "selected_text": "and look for itself. The more Claude can see, the better it does. So how far can it actually go?", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 72 ], "packet_id": 9, "engine": "mlx-whisper" } ] }, { "start": 274.55, "end": 279.77, "text": "The use cases people have come up with are wild. So what are people actually building with it?", "raw_asr_text": "The use cases people have come up with are wild. So what are people actually building with it?", "source_language": "en", "source_lang": "en", "asr_packet_id": 9, "words": [ { "word": " The", "start": 274.55, "end": 274.78999999999996, "probability": 0.9951171875 }, { "word": " use", "start": 274.78999999999996, "end": 274.99, "probability": 0.99658203125 }, { "word": " cases", "start": 274.99, "end": 275.27, "probability": 0.99609375 }, { "word": " people", "start": 275.27, "end": 275.53, "probability": 0.998046875 }, { "word": " have", "start": 275.53, "end": 275.71, "probability": 0.99169921875 }, { "word": " come", "start": 275.71, "end": 275.87, "probability": 0.99951171875 }, { "word": " up", "start": 275.87, "end": 276.03, "probability": 0.99951171875 }, { "word": " with", "start": 276.03, "end": 276.17, "probability": 0.99853515625 }, { "word": " are", "start": 276.17, "end": 276.46999999999997, "probability": 0.98974609375 }, { "word": " wild.", "start": 276.46999999999997, "end": 277.01, "probability": 0.99609375 }, { "word": " So", "start": 277.27, "end": 277.78999999999996, "probability": 0.99462890625 }, { "word": " what", "start": 277.78999999999996, "end": 278.17, "probability": 0.994140625 }, { "word": " are", "start": 278.17, "end": 278.43, "probability": 0.99951171875 }, { "word": " people", "start": 278.43, "end": 278.75, "probability": 0.9990234375 }, { "word": " actually", "start": 278.75, "end": 279.13, "probability": 0.9970703125 }, { "word": " building", "start": 279.13, "end": 279.45, "probability": 0.99951171875 }, { "word": " with", "start": 279.45, "end": 279.65, "probability": 0.99658203125 }, { "word": " it?", "start": 279.65, "end": 279.77, "probability": 0.9951171875 } ], "asr_metrics": { "avg_logprob": -0.07573385896353886, "compression_ratio": 1.7756653992395437, "no_speech_prob": 2.325565304564514e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "feature for my project. Swap notes for any app and swap search for any feature you like. The last part is the line that got everyone talking. Build a similar feature for my project. Another pro tip is give Claude screenshots of the feature you want or tell it to open the app and look for itself. The more Claude can see, the better it does. So how far can it actually go? The use cases people have come up with are wild. So what are people actually building with it? Well, here are three real examples." } ], "id": 73, "review_annotation": "", "row_id": 73, "bounded_row_id": 73, "parent_row_ids": [ 73 ], "parent_row_id": 73, "packet_id": 9, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 251.51, "packet_end": 281.09999999999997, "raw_text": "The use cases people have come up with are wild. So what are people actually building with it?", "selected_text": "The use cases people have come up with are wild. So what are people actually building with it?", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 73 ], "packet_id": 9, "engine": "mlx-whisper" } ] }, { "start": 280.29999999999995, "end": 283.21999999999997, "text": "with it? Well, here are three real examples. The first use case comes from a developer named", "raw_asr_text": "with it? Well, here are three real examples. The first use case comes from a developer named", "source_language": "en", "source_lang": "en", "asr_packet_id": 10, "words": [ { "word": " with", "start": 279.49999999999994, "end": 279.65999999999997, "probability": 0.794921875 }, { "word": " it?", "start": 279.65999999999997, "end": 279.7799999999999, "probability": 0.9990234375 }, { "word": " Well,", "start": 279.91999999999996, "end": 279.99999999999994, "probability": 0.98046875 }, { "word": " here", "start": 280.0799999999999, "end": 280.15999999999997, "probability": 0.99951171875 }, { "word": " are", "start": 280.15999999999997, "end": 280.2799999999999, "probability": 1.0 }, { "word": " three", "start": 280.2799999999999, "end": 280.47999999999996, "probability": 0.9970703125 }, { "word": " real", "start": 280.47999999999996, "end": 280.73999999999995, "probability": 0.9970703125 }, { "word": " examples.", "start": 280.73999999999995, "end": 281.17999999999995, "probability": 1.0 }, { "word": " The", "start": 281.3999999999999, "end": 281.47999999999996, "probability": 0.99951171875 }, { "word": " first", "start": 281.47999999999996, "end": 281.67999999999995, "probability": 1.0 }, { "word": " use", "start": 281.67999999999995, "end": 281.87999999999994, "probability": 0.9990234375 }, { "word": " case", "start": 281.87999999999994, "end": 282.09999999999997, "probability": 1.0 }, { "word": " comes", "start": 282.09999999999997, "end": 282.3399999999999, "probability": 0.99951171875 }, { "word": " from", "start": 282.3399999999999, "end": 282.4599999999999, "probability": 1.0 }, { "word": " a", "start": 282.4599999999999, "end": 282.55999999999995, "probability": 0.99951171875 }, { "word": " developer", "start": 282.55999999999995, "end": 282.8999999999999, "probability": 0.99853515625 }, { "word": " named", "start": 282.8999999999999, "end": 283.21999999999997, "probability": 0.99951171875 } ], "asr_metrics": { "avg_logprob": -0.08101779072224594, "compression_ratio": 1.5966101694915253, "no_speech_prob": 3.318200532051452e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "with it? Well, here are three real examples. The first use case comes from a developer named Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code for that app is public, so he could check REA's answers against what Microsoft actually built. REA got eight out of nine findings fully right. Then he used what it found to build his own color picker in under 750 lines of code." } ], "id": 74, "review_annotation": "", "row_id": 74, "bounded_row_id": 74, "parent_row_ids": [ 74 ], "parent_row_id": 74, "packet_id": 10, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 279.49999999999994, "packet_end": 309.09000000000003, "raw_text": "with it? Well, here are three real examples. The first use case comes from a developer named", "selected_text": "with it? Well, here are three real examples. The first use case comes from a developer named", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 74 ], "packet_id": 10, "engine": "mlx-whisper" } ] }, { "start": 283.21999999999997, "end": 288.97999999999996, "text": "Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free", "raw_asr_text": "Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free", "source_language": "en", "source_lang": "en", "asr_packet_id": 10, "words": [ { "word": " Mukesh", "start": 283.21999999999997, "end": 283.65999999999997, "probability": 0.9873046875 }, { "word": " Murigan.", "start": 283.65999999999997, "end": 284.11999999999995, "probability": 0.673828125 }, { "word": " He", "start": 284.37999999999994, "end": 284.65999999999997, "probability": 0.99951171875 }, { "word": " pointed", "start": 284.65999999999997, "end": 284.99999999999994, "probability": 0.99951171875 }, { "word": " REA", "start": 284.99999999999994, "end": 285.47999999999996, "probability": 0.8896484375 }, { "word": " at", "start": 285.47999999999996, "end": 285.71999999999997, "probability": 0.99951171875 }, { "word": " the", "start": 285.71999999999997, "end": 285.87999999999994, "probability": 0.99853515625 }, { "word": " color", "start": 285.87999999999994, "end": 286.13999999999993, "probability": 0.79345703125 }, { "word": " picker", "start": 286.13999999999993, "end": 286.5199999999999, "probability": 0.998046875 }, { "word": " in", "start": 286.5199999999999, "end": 286.71999999999997, "probability": 0.9990234375 }, { "word": " Power", "start": 286.71999999999997, "end": 287.0199999999999, "probability": 0.9541015625 }, { "word": " Toys,", "start": 287.0199999999999, "end": 287.47999999999996, "probability": 0.7919921875 }, { "word": " which", "start": 287.63999999999993, "end": 287.73999999999995, "probability": 0.99853515625 }, { "word": " is", "start": 287.73999999999995, "end": 287.93999999999994, "probability": 1.0 }, { "word": " Microsoft's", "start": 287.93999999999994, "end": 288.81999999999994, "probability": 1.0 }, { "word": " free", "start": 288.81999999999994, "end": 288.97999999999996, "probability": 0.99755859375 } ], "asr_metrics": { "avg_logprob": -0.08101779072224594, "compression_ratio": 1.5966101694915253, "no_speech_prob": 3.318200532051452e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "with it? Well, here are three real examples. The first use case comes from a developer named Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code for that app is public, so he could check REA's answers against what Microsoft actually built. REA got eight out of nine findings fully right. Then he used what it found to build his own color picker in under 750 lines of code." } ], "id": 75, "review_annotation": "", "row_id": 75, "bounded_row_id": 75, "parent_row_ids": [ 75 ], "parent_row_id": 75, "packet_id": 10, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 279.49999999999994, "packet_end": 309.09000000000003, "raw_text": "Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free", "selected_text": "Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 75 ], "packet_id": 10, "engine": "mlx-whisper" } ] }, { "start": 288.97999999999996, "end": 294.61999999999995, "text": "toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code", "raw_asr_text": "toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code", "source_language": "en", "source_lang": "en", "asr_packet_id": 10, "words": [ { "word": " toolkit", "start": 288.97999999999996, "end": 289.35999999999996, "probability": 0.98974609375 }, { "word": " for", "start": 289.35999999999996, "end": 289.53999999999996, "probability": 1.0 }, { "word": " Windows.", "start": 289.53999999999996, "end": 289.81999999999994, "probability": 0.98583984375 }, { "word": " He", "start": 290.05999999999995, "end": 290.41999999999996, "probability": 1.0 }, { "word": " only", "start": 290.41999999999996, "end": 290.71999999999997, "probability": 1.0 }, { "word": " gave", "start": 290.71999999999997, "end": 291.03999999999996, "probability": 1.0 }, { "word": " Claude", "start": 291.03999999999996, "end": 291.3999999999999, "probability": 0.96142578125 }, { "word": " the", "start": 291.3999999999999, "end": 291.59999999999997, "probability": 1.0 }, { "word": " finished", "start": 291.59999999999997, "end": 291.91999999999996, "probability": 0.99951171875 }, { "word": " app,", "start": 291.91999999999996, "end": 292.23999999999995, "probability": 1.0 }, { "word": " not", "start": 292.4599999999999, "end": 292.63999999999993, "probability": 0.99951171875 }, { "word": " the", "start": 292.63999999999993, "end": 292.87999999999994, "probability": 1.0 }, { "word": " code.", "start": 292.87999999999994, "end": 293.23999999999995, "probability": 1.0 }, { "word": " But", "start": 293.3999999999999, "end": 293.73999999999995, "probability": 0.99951171875 }, { "word": " Microsoft's", "start": 293.73999999999995, "end": 294.41999999999996, "probability": 0.99951171875 }, { "word": " code", "start": 294.41999999999996, "end": 294.61999999999995, "probability": 0.9990234375 } ], "asr_metrics": { "avg_logprob": -0.08101779072224594, "compression_ratio": 1.5966101694915253, "no_speech_prob": 3.318200532051452e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "with it? Well, here are three real examples. The first use case comes from a developer named Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code for that app is public, so he could check REA's answers against what Microsoft actually built. REA got eight out of nine findings fully right. Then he used what it found to build his own color picker in under 750 lines of code." } ], "id": 76, "review_annotation": "", "row_id": 76, "bounded_row_id": 76, "parent_row_ids": [ 76 ], "parent_row_id": 76, "packet_id": 10, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 279.49999999999994, "packet_end": 309.09000000000003, "raw_text": "toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code", "selected_text": "toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 76 ], "packet_id": 10, "engine": "mlx-whisper" } ] }, { "start": 294.61999999999995, "end": 299.69999999999993, "text": "for that app is public, so he could check REA's answers against what Microsoft actually built.", "raw_asr_text": "for that app is public, so he could check REA's answers against what Microsoft actually built.", "source_language": "en", "source_lang": "en", "asr_packet_id": 10, "words": [ { "word": " for", "start": 294.61999999999995, "end": 294.8999999999999, "probability": 0.99951171875 }, { "word": " that", "start": 294.8999999999999, "end": 295.09999999999997, "probability": 0.99951171875 }, { "word": " app", "start": 295.09999999999997, "end": 295.29999999999995, "probability": 0.9990234375 }, { "word": " is", "start": 295.29999999999995, "end": 295.43999999999994, "probability": 0.99951171875 }, { "word": " public,", "start": 295.43999999999994, "end": 295.78, "probability": 0.99951171875 }, { "word": " so", "start": 295.78, "end": 295.97999999999996, "probability": 1.0 }, { "word": " he", "start": 295.97999999999996, "end": 296.13999999999993, "probability": 1.0 }, { "word": " could", "start": 296.13999999999993, "end": 296.29999999999995, "probability": 0.99951171875 }, { "word": " check", "start": 296.29999999999995, "end": 296.59999999999997, "probability": 0.99951171875 }, { "word": " REA's", "start": 296.59999999999997, "end": 297.28, "probability": 0.99951171875 }, { "word": " answers", "start": 297.28, "end": 297.5799999999999, "probability": 0.99609375 }, { "word": " against", "start": 297.5799999999999, "end": 297.9599999999999, "probability": 1.0 }, { "word": " what", "start": 297.9599999999999, "end": 298.2199999999999, "probability": 1.0 }, { "word": " Microsoft", "start": 298.2199999999999, "end": 298.65999999999997, "probability": 0.99951171875 }, { "word": " actually", "start": 298.65999999999997, "end": 299.31999999999994, "probability": 0.99853515625 }, { "word": " built.", "start": 299.31999999999994, "end": 299.69999999999993, "probability": 1.0 } ], "asr_metrics": { "avg_logprob": -0.08101779072224594, "compression_ratio": 1.5966101694915253, "no_speech_prob": 3.318200532051452e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "with it? Well, here are three real examples. The first use case comes from a developer named Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code for that app is public, so he could check REA's answers against what Microsoft actually built. REA got eight out of nine findings fully right. Then he used what it found to build his own color picker in under 750 lines of code." } ], "id": 77, "review_annotation": "", "row_id": 77, "bounded_row_id": 77, "parent_row_ids": [ 77 ], "parent_row_id": 77, "packet_id": 10, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 279.49999999999994, "packet_end": 309.09000000000003, "raw_text": "for that app is public, so he could check REA's answers against what Microsoft actually built.", "selected_text": "for that app is public, so he could check REA's answers against what Microsoft actually built.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 77 ], "packet_id": 10, "engine": "mlx-whisper" } ] }, { "start": 300.11999999999995, "end": 305.65999999999997, "text": "REA got eight out of nine findings fully right. Then he used what it found to build his own color", "raw_asr_text": "REA got eight out of nine findings fully right. Then he used what it found to build his own color", "source_language": "en", "source_lang": "en", "asr_packet_id": 10, "words": [ { "word": " REA", "start": 300.11999999999995, "end": 300.59999999999997, "probability": 0.9990234375 }, { "word": " got", "start": 300.59999999999997, "end": 300.8399999999999, "probability": 1.0 }, { "word": " eight", "start": 300.8399999999999, "end": 301.15999999999997, "probability": 0.85546875 }, { "word": " out", "start": 301.15999999999997, "end": 301.43999999999994, "probability": 1.0 }, { "word": " of", "start": 301.43999999999994, "end": 301.63999999999993, "probability": 1.0 }, { "word": " nine", "start": 301.63999999999993, "end": 301.93999999999994, "probability": 0.99951171875 }, { "word": " findings", "start": 301.93999999999994, "end": 302.4599999999999, "probability": 0.9990234375 }, { "word": " fully", "start": 302.4599999999999, "end": 302.9599999999999, "probability": 0.99267578125 }, { "word": " right.", "start": 302.9599999999999, "end": 303.29999999999995, "probability": 0.9990234375 }, { "word": " Then", "start": 303.47999999999996, "end": 303.75999999999993, "probability": 1.0 }, { "word": " he", "start": 303.75999999999993, "end": 303.91999999999996, "probability": 0.9912109375 }, { "word": " used", "start": 303.91999999999996, "end": 304.09999999999997, "probability": 0.9990234375 }, { "word": " what", "start": 304.09999999999997, "end": 304.25999999999993, "probability": 0.99951171875 }, { "word": " it", "start": 304.25999999999993, "end": 304.35999999999996, "probability": 0.99951171875 }, { "word": " found", "start": 304.35999999999996, "end": 304.59999999999997, "probability": 0.99951171875 }, { "word": " to", "start": 304.59999999999997, "end": 304.78, "probability": 1.0 }, { "word": " build", "start": 304.78, "end": 305.0199999999999, "probability": 0.99951171875 }, { "word": " his", "start": 305.0199999999999, "end": 305.2199999999999, "probability": 0.99951171875 }, { "word": " own", "start": 305.2199999999999, "end": 305.37999999999994, "probability": 0.99951171875 }, { "word": " color", "start": 305.37999999999994, "end": 305.65999999999997, "probability": 0.9990234375 } ], "asr_metrics": { "avg_logprob": -0.08101779072224594, "compression_ratio": 1.5966101694915253, "no_speech_prob": 3.318200532051452e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "with it? Well, here are three real examples. The first use case comes from a developer named Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code for that app is public, so he could check REA's answers against what Microsoft actually built. REA got eight out of nine findings fully right. Then he used what it found to build his own color picker in under 750 lines of code." } ], "id": 78, "review_annotation": "", "row_id": 78, "bounded_row_id": 78, "parent_row_ids": [ 78 ], "parent_row_id": 78, "packet_id": 10, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 279.49999999999994, "packet_end": 309.09000000000003, "raw_text": "REA got eight out of nine findings fully right. Then he used what it found to build his own color", "selected_text": "REA got eight out of nine findings fully right. 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Well, here are three real examples. The first use case comes from a developer named Mukesh Murigan. He pointed REA at the color picker in Power Toys, which is Microsoft's free toolkit for Windows. He only gave Claude the finished app, not the code. But Microsoft's code for that app is public, so he could check REA's answers against what Microsoft actually built. REA got eight out of nine findings fully right. 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The second use case is a game called DX ball. It's a brick breaker game from the 1990s. One developer even used REA to find the exact math the game uses to move the sound from your left speaker to your right as the ball moves. Then they rebuilt that math from scratch. The rebuilt version matched the original game in all 3,205 tests down to the exact bytes. That's a 30 year old game rebuilt without ever seeing its code. And the third" } ], "id": 80, "review_annotation": "", "row_id": 80, "bounded_row_id": 80, "parent_row_ids": [ 80 ], "parent_row_id": 80, "packet_id": 11, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 307.49, "packet_end": 337.08000000000004, "raw_text": "lines of code. The second use case is a game called DX ball. It's a brick breaker game from", "selected_text": "lines of code. The second use case is a game called DX ball. It's a brick breaker game from", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 80 ], "packet_id": 11, "engine": "mlx-whisper" } ] }, { "start": 312.51, "end": 319.03000000000003, "text": "the 1990s. One developer even used REA to find the exact math the game uses to move the sound", "raw_asr_text": "the 1990s. 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To answer that, you need to see what Artcraft pulled off. An engineer named Brandon Thomas used Claude to build free open source copies of seven Adobe apps, including Photoshop, Premiere, and Lightroom. The Photoshop copy alone got over 24,000 stars on GitHub in eight days, and his team never touched Adobe's code. They rebuilt every app from scratch using public documents and by studying how Adobe's apps look and behave. If you want the full breakdown of all seven apps. I'll link that." } ], "id": 142, "review_annotation": "", "row_id": 142, "bounded_row_id": 142, "parent_row_ids": [ 142 ], "parent_row_id": 142, "packet_id": 18, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 503.41999999999996, "packet_end": 533.01, "raw_text": "using public documents and by studying how Adobe's apps look and behave. If you want the full", "selected_text": "using public documents and by studying how Adobe's apps look and behave. If you want the full", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 142 ], "packet_id": 18, "engine": "mlx-whisper" } ] }, { "start": 531.12, "end": 532.21, "text": "breakdown of all seven apps. I'll link that.", "raw_asr_text": "breakdown of all seven apps. I'll link that.", "source_language": "en", "source_lang": "en", "asr_packet_id": 18, "words": [ { "word": " breakdown", "start": 531.12, "end": 531.5, "probability": 0.951171875 }, { "word": " of", "start": 531.5, "end": 531.68, "probability": 0.99658203125 }, { "word": " all", "start": 531.68, "end": 531.86, "probability": 0.998046875 }, { "word": " seven", "start": 531.86, "end": 532.12, "probability": 0.96240234375 }, { "word": " apps.", "start": 532.12, "end": 532.4599999999999, "probability": 0.99560546875 }, { "word": " I'll", "start": 532.5999999999999, "end": 532.6999999999999, "probability": 0.99365234375 }, { "word": " link", "start": 532.6999999999999, "end": 532.8199999999999, "probability": 0.99365234375 }, { "word": " that.", "start": 532.8199999999999, "end": 532.9399999999999, "probability": 0.9345703125 } ], "asr_metrics": { "avg_logprob": -0.26777965681893484, "compression_ratio": 0.8627450980392157, "no_speech_prob": 8.956657030628756e-13 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "actually going to pay for? To answer that, you need to see what Artcraft pulled off. An engineer named Brandon Thomas used Claude to build free open source copies of seven Adobe apps, including Photoshop, Premiere, and Lightroom. The Photoshop copy alone got over 24,000 stars on GitHub in eight days, and his team never touched Adobe's code. They rebuilt every app from scratch using public documents and by studying how Adobe's apps look and behave. If you want the full breakdown of all seven apps. I'll link that." } ], "id": 143, "review_annotation": "", "row_id": 143, "bounded_row_id": 143, "parent_row_ids": [ 143 ], "parent_row_id": 143, "packet_id": 18, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 503.41999999999996, "packet_end": 533.01, "raw_text": "breakdown of all seven apps. I'll link that.", "selected_text": "breakdown of all seven apps. 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So put those two repos side by side. Artcraft never opened Adobe Sealed Box. They rebuilt the apps from scratch from the outside. REA opens the box and looks inside all the way down to the machine code. So now Quad can rebuild an app from the outside and look at one from the inside so there's not much left of an app that stays hidden. Now, are the copies as good as the real thing? Not yet. Artcraft's own team says their Photoshop copy isn't ready for daily." } ], "id": 144, "review_annotation": "", "row_id": 144, "bounded_row_id": 144, "parent_row_ids": [ 144 ], "parent_row_id": 144, "packet_id": 19, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 531.4100000000001, "packet_end": 560.9999999999999, "raw_text": "of all seven apps, I'll link that video right here.", "selected_text": "of all seven apps, I'll link that video right here.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 144 ], "packet_id": 19, "engine": "mlx-whisper" } ] }, { "start": 534.0500000000001, "end": 536.3700000000001, "text": "So put those two repos side by side.", "raw_asr_text": "So put those two repos side by side.", "source_language": "en", "source_lang": "en", "asr_packet_id": 19, "words": [ { "word": " So", "start": 534.0500000000001, "end": 534.57, "probability": 0.9970703125 }, { "word": " put", "start": 534.57, "end": 534.8500000000001, "probability": 0.8818359375 }, { "word": " those", "start": 534.8500000000001, "end": 535.07, "probability": 1.0 }, { "word": " two", "start": 535.07, "end": 535.2500000000001, "probability": 0.9990234375 }, { "word": " repos", "start": 535.2500000000001, "end": 535.6300000000001, "probability": 0.98681640625 }, { "word": " side", "start": 535.6300000000001, "end": 535.8700000000001, "probability": 0.99951171875 }, { "word": " by", "start": 535.8700000000001, "end": 536.0100000000001, "probability": 0.84130859375 }, { "word": " side.", "start": 536.0100000000001, "end": 536.3700000000001, "probability": 1.0 } ], "asr_metrics": { "avg_logprob": -0.11524924957494942, "compression_ratio": 1.7073170731707317, "no_speech_prob": 3.1662242272467722e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "of all seven apps, I'll link that video right here. 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So put those two repos side by side. Artcraft never opened Adobe Sealed Box. They rebuilt the apps from scratch from the outside. REA opens the box and looks inside all the way down to the machine code. So now Quad can rebuild an app from the outside and look at one from the inside so there's not much left of an app that stays hidden. Now, are the copies as good as the real thing? Not yet. 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So put those two repos side by side. Artcraft never opened Adobe Sealed Box. They rebuilt the apps from scratch from the outside. REA opens the box and looks inside all the way down to the machine code. So now Quad can rebuild an app from the outside and look at one from the inside so there's not much left of an app that stays hidden. Now, are the copies as good as the real thing? Not yet. 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So put those two repos side by side. Artcraft never opened Adobe Sealed Box. They rebuilt the apps from scratch from the outside. REA opens the box and looks inside all the way down to the machine code. So now Quad can rebuild an app from the outside and look at one from the inside so there's not much left of an app that stays hidden. Now, are the copies as good as the real thing? Not yet. 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Artcraft's own team says their Photoshop copy isn't ready for daily." } ], "id": 151, "review_annotation": "", "row_id": 151, "bounded_row_id": 151, "parent_row_ids": [ 151 ], "parent_row_id": 151, "packet_id": 19, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 531.4100000000001, "packet_end": 560.9999999999999, "raw_text": "and look at one from the inside", "selected_text": "and look at one from the inside", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 151 ], "packet_id": 19, "engine": "mlx-whisper" } ] }, { "start": 551.6700000000001, "end": 554.0100000000001, "text": "so there's not much left of an app that stays hidden.", "raw_asr_text": "so there's not much left of an app that stays hidden.", "source_language": "en", "source_lang": "en", "asr_packet_id": 19, "words": [ { "word": " so", "start": 551.6700000000001, "end": 551.9300000000001, "probability": 0.66748046875 }, { "word": " there's", "start": 551.9300000000001, "end": 552.1500000000001, "probability": 1.0 }, { "word": " not", "start": 552.1500000000001, "end": 552.33, "probability": 1.0 }, { "word": " much", "start": 552.33, "end": 552.57, "probability": 1.0 }, { "word": " left", "start": 552.57, "end": 552.8500000000001, "probability": 0.99951171875 }, { "word": " of", "start": 552.8500000000001, "end": 553.0100000000001, "probability": 1.0 }, { "word": " an", "start": 553.0100000000001, "end": 553.1100000000001, "probability": 1.0 }, { "word": " app", "start": 553.1100000000001, "end": 553.3100000000001, "probability": 0.99951171875 }, { "word": " that", "start": 553.3100000000001, "end": 553.45, "probability": 1.0 }, { "word": " stays", "start": 553.45, "end": 553.7300000000001, "probability": 0.99951171875 }, { "word": " hidden.", "start": 553.7300000000001, "end": 554.0100000000001, "probability": 1.0 } ], "asr_metrics": { "avg_logprob": -0.11524924957494942, "compression_ratio": 1.7073170731707317, "no_speech_prob": 3.1662242272467722e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "of all seven apps, I'll link that video right here. 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So back to that question. If anyone can copy anything, what are people going to pay for? And honestly, the answer was sitting in my own business the whole time. The Quad Code Club is $9 a month and has over 8,000 members. And there's a lot of content about Quad Code on YouTube for free, but people pay anyway. So why? Why? 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They can build something on Monday and have buyers by Friday. That's why I spend my time on YouTube and in the Cloud Code Club and almost no time worrying about someone copying my stuff. Someone could copy every lesson in the club tomorrow. They can't copy the 8,000 people in the club who already know me. So does all this mean software is dead? No. It means the part of an app's price that came from this was hard to build is going away. And the result, the support, the trust behind" } ], "id": 210, "review_annotation": "", "row_id": 210, "bounded_row_id": 210, "parent_row_ids": [ 210 ], "parent_row_id": 210, "packet_id": 26, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 727.34, "packet_end": 756.93, "raw_text": "8,000 people in the club who already know me. 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And the result,", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 211 ], "packet_id": 26, "engine": "mlx-whisper" } ] }, { "start": 755.24, "end": 756.13, "text": "the support, the trust behind", "raw_asr_text": "the support, the trust behind", "source_language": "en", "source_lang": "en", "asr_packet_id": 26, "words": [ { "word": " the", "start": 755.24, "end": 755.5400000000001, "probability": 0.57470703125 }, { "word": " support,", "start": 755.5400000000001, "end": 755.88, "probability": 0.939453125 }, { "word": " the", "start": 756.12, "end": 756.38, "probability": 0.9951171875 }, { "word": " trust", "start": 756.38, "end": 756.7, "probability": 0.99853515625 }, { "word": " behind", "start": 756.7, "end": 756.9, "probability": 0.8603515625 } ], "asr_metrics": { "avg_logprob": -0.15729554494222006, "compression_ratio": 0.8285714285714286, "no_speech_prob": 8.315708148118328e-13 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "customers who trust them wins that game. They can build something on Monday and have buyers by Friday. That's why I spend my time on YouTube and in the Cloud Code Club and almost no time worrying about someone copying my stuff. Someone could copy every lesson in the club tomorrow. They can't copy the 8,000 people in the club who already know me. So does all this mean software is dead? No. It means the part of an app's price that came from this was hard to build is going away. 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So here's the recap. REA lets Claude look inside apps without having the code. Use it if you do security work, rescue old software, or want to learn how a feature works. Skip it if you're just getting started. And when anyone can copy anything, people still pay for three things. They pay for the result, for someone who answers when it breaks, and for the people who already trust you. So" } ], "id": 214, "review_annotation": "", "row_id": 214, "bounded_row_id": 214, "parent_row_ids": [ 214 ], "parent_row_id": 214, "packet_id": 27, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 755.33, "packet_end": 784.92, "raw_text": "getting more valuable every month. So here's the recap. REA lets Claude look inside apps without", "selected_text": "getting more valuable every month. So here's the recap. REA lets Claude look inside apps without", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 214 ], "packet_id": 27, "engine": "mlx-whisper" } ] }, { "start": 767.25, "end": 772.7900000000001, "text": "having the code. Use it if you do security work, rescue old software, or want to learn how a feature", "raw_asr_text": "having the code. Use it if you do security work, rescue old software, or want to learn how a feature", "source_language": "en", "source_lang": "en", "asr_packet_id": 27, "words": [ { "word": " having", "start": 767.25, "end": 767.63, "probability": 0.99658203125 }, { "word": " the", "start": 767.63, "end": 767.7700000000001, "probability": 0.9765625 }, { "word": " code.", "start": 767.7700000000001, "end": 768.09, "probability": 0.99951171875 }, { "word": " Use", "start": 768.23, "end": 768.63, "probability": 0.99267578125 }, { "word": " it", "start": 768.63, "end": 768.7700000000001, "probability": 0.99658203125 }, { "word": " if", "start": 768.7700000000001, "end": 768.95, "probability": 0.8935546875 }, { "word": " you", "start": 768.95, "end": 769.0500000000001, "probability": 0.9990234375 }, { "word": " do", "start": 769.0500000000001, "end": 769.1500000000001, "probability": 0.99755859375 }, { "word": " security", "start": 769.1500000000001, "end": 769.59, "probability": 0.9990234375 }, { "word": " work,", "start": 769.59, "end": 769.9100000000001, "probability": 0.99072265625 }, { "word": " rescue", "start": 770.21, "end": 770.5300000000001, "probability": 0.99658203125 }, { "word": " old", "start": 770.5300000000001, "end": 770.75, "probability": 0.9970703125 }, { "word": " software,", "start": 770.75, "end": 771.19, "probability": 0.99951171875 }, { "word": " or", "start": 771.39, "end": 771.45, "probability": 0.9990234375 }, { "word": " want", "start": 771.45, "end": 771.73, "probability": 0.998046875 }, { "word": " to", "start": 771.73, "end": 771.9300000000001, "probability": 0.9990234375 }, { "word": " learn", "start": 771.9300000000001, "end": 772.19, "probability": 0.99853515625 }, { "word": " how", "start": 772.19, "end": 772.37, "probability": 0.99951171875 }, { "word": " a", "start": 772.37, "end": 772.5300000000001, "probability": 0.99169921875 }, { "word": " feature", "start": 772.5300000000001, "end": 772.7900000000001, "probability": 0.9970703125 } ], "asr_metrics": { "avg_logprob": -0.08013856512868506, "compression_ratio": 1.6046511627906976, "no_speech_prob": 1.7214965347331357e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "the support, the trust behind an app, and your ability to get traffic and win customers are all getting more valuable every month. So here's the recap. REA lets Claude look inside apps without having the code. Use it if you do security work, rescue old software, or want to learn how a feature works. Skip it if you're just getting started. And when anyone can copy anything, people still pay for three things. They pay for the result, for someone who answers when it breaks, and for the people who already trust you. So" } ], "id": 215, "review_annotation": "", "row_id": 215, "bounded_row_id": 215, "parent_row_ids": [ 215 ], "parent_row_id": 215, "packet_id": 27, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 755.33, "packet_end": 784.92, "raw_text": "having the code. Use it if you do security work, rescue old software, or want to learn how a feature", "selected_text": "having the code. Use it if you do security work, rescue old software, or want to learn how a feature", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 215 ], "packet_id": 27, "engine": "mlx-whisper" } ] }, { "start": 772.7900000000001, "end": 777.87, "text": "works. Skip it if you're just getting started. And when anyone can copy anything, people still", "raw_asr_text": "works. Skip it if you're just getting started. And when anyone can copy anything, people still", "source_language": "en", "source_lang": "en", "asr_packet_id": 27, "words": [ { "word": " works.", "start": 772.7900000000001, "end": 773.1700000000001, "probability": 0.9990234375 }, { "word": " Skip", "start": 773.33, "end": 773.6700000000001, "probability": 0.98876953125 }, { "word": " it", "start": 773.6700000000001, "end": 773.87, "probability": 0.9951171875 }, { "word": " if", "start": 773.87, "end": 774.07, "probability": 0.970703125 }, { "word": " you're", "start": 774.07, "end": 774.21, "probability": 0.99755859375 }, { "word": " just", "start": 774.21, "end": 774.35, "probability": 0.99609375 }, { "word": " getting", "start": 774.35, "end": 774.5300000000001, "probability": 0.99755859375 }, { "word": " started.", "start": 774.5300000000001, "end": 774.9300000000001, "probability": 0.99951171875 }, { "word": " And", "start": 775.2700000000001, "end": 775.7900000000001, "probability": 0.986328125 }, { "word": " when", "start": 775.7900000000001, "end": 775.9300000000001, "probability": 0.99462890625 }, { "word": " anyone", "start": 775.9300000000001, "end": 776.2700000000001, "probability": 0.99609375 }, { "word": " can", "start": 776.2700000000001, "end": 776.47, "probability": 0.9990234375 }, { "word": " copy", "start": 776.47, "end": 776.7900000000001, "probability": 0.9990234375 }, { "word": " anything,", "start": 776.7900000000001, "end": 777.19, "probability": 0.998046875 }, { "word": " people", "start": 777.45, "end": 777.6500000000001, "probability": 0.998046875 }, { "word": " still", "start": 777.6500000000001, "end": 777.87, "probability": 0.9990234375 } ], "asr_metrics": { "avg_logprob": -0.08013856512868506, "compression_ratio": 1.6046511627906976, "no_speech_prob": 1.7214965347331357e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "the support, the trust behind an app, and your ability to get traffic and win customers are all getting more valuable every month. So here's the recap. REA lets Claude look inside apps without having the code. Use it if you do security work, rescue old software, or want to learn how a feature works. Skip it if you're just getting started. And when anyone can copy anything, people still pay for three things. They pay for the result, for someone who answers when it breaks, and for the people who already trust you. So" } ], "id": 216, "review_annotation": "", "row_id": 216, "bounded_row_id": 216, "parent_row_ids": [ 216 ], "parent_row_id": 216, "packet_id": 27, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 755.33, "packet_end": 784.92, "raw_text": "works. Skip it if you're just getting started. And when anyone can copy anything, people still", "selected_text": "works. Skip it if you're just getting started. And when anyone can copy anything, people still", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 216 ], "packet_id": 27, "engine": "mlx-whisper" } ] }, { "start": 777.87, "end": 782.5300000000001, "text": "pay for three things. They pay for the result, for someone who answers when it breaks, and for", "raw_asr_text": "pay for three things. They pay for the result, for someone who answers when it breaks, and for", "source_language": "en", "source_lang": "en", "asr_packet_id": 27, "words": [ { "word": " pay", "start": 777.87, "end": 778.1700000000001, "probability": 0.99951171875 }, { "word": " for", "start": 778.1700000000001, "end": 778.39, "probability": 0.9990234375 }, { "word": " three", "start": 778.39, "end": 778.71, "probability": 0.98095703125 }, { "word": " things.", "start": 778.71, "end": 779.09, "probability": 0.99951171875 }, { "word": " They", "start": 779.23, "end": 779.57, "probability": 0.99365234375 }, { "word": " pay", "start": 779.57, "end": 779.71, "probability": 0.99951171875 }, { "word": " for", "start": 779.71, "end": 779.87, "probability": 0.99951171875 }, { "word": " the", "start": 779.87, "end": 779.95, "probability": 0.99853515625 }, { "word": " result,", "start": 779.95, "end": 780.33, "probability": 0.97802734375 }, { "word": " for", "start": 780.47, "end": 780.7900000000001, "probability": 0.99609375 }, { "word": " someone", "start": 780.7900000000001, "end": 780.99, "probability": 0.99853515625 }, { "word": " who", "start": 780.99, "end": 781.1500000000001, "probability": 0.9990234375 }, { "word": " answers", "start": 781.1500000000001, "end": 781.51, "probability": 0.9990234375 }, { "word": " when", "start": 781.51, "end": 781.71, "probability": 0.998046875 }, { "word": " it", "start": 781.71, "end": 781.83, "probability": 0.99951171875 }, { "word": " breaks,", "start": 781.83, "end": 782.11, "probability": 0.99951171875 }, { "word": " and", "start": 782.23, "end": 782.37, "probability": 0.99951171875 }, { "word": " for", "start": 782.37, "end": 782.5300000000001, "probability": 0.99951171875 } ], "asr_metrics": { "avg_logprob": -0.08013856512868506, "compression_ratio": 1.6046511627906976, "no_speech_prob": 1.7214965347331357e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "the support, the trust behind an app, and your ability to get traffic and win customers are all getting more valuable every month. So here's the recap. REA lets Claude look inside apps without having the code. Use it if you do security work, rescue old software, or want to learn how a feature works. Skip it if you're just getting started. And when anyone can copy anything, people still pay for three things. They pay for the result, for someone who answers when it breaks, and for the people who already trust you. So" } ], "id": 217, "review_annotation": "", "row_id": 217, "bounded_row_id": 217, "parent_row_ids": [ 217 ], "parent_row_id": 217, "packet_id": 27, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 755.33, "packet_end": 784.92, "raw_text": "pay for three things. They pay for the result, for someone who answers when it breaks, and for", "selected_text": "pay for three things. They pay for the result, for someone who answers when it breaks, and for", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 217 ], "packet_id": 27, "engine": "mlx-whisper" } ] }, { "start": 782.5300000000001, "end": 784.12, "text": "the people who already trust you.", "raw_asr_text": "the people who already trust you.", "source_language": "en", "source_lang": "en", "asr_packet_id": 27, "words": [ { "word": " the", "start": 782.5300000000001, "end": 782.6700000000001, "probability": 0.56396484375 }, { "word": " people", "start": 782.6700000000001, "end": 782.89, "probability": 0.99755859375 }, { "word": " who", "start": 782.89, "end": 783.1700000000001, "probability": 0.9970703125 }, { "word": " already", "start": 783.1700000000001, "end": 783.51, "probability": 0.99169921875 }, { "word": " trust", "start": 783.51, "end": 783.9300000000001, "probability": 0.9921875 }, { "word": " you.", "start": 783.9300000000001, "end": 784.1700000000001, "probability": 0.99365234375 } ], "asr_metrics": { "avg_logprob": -0.5322935397808368, "compression_ratio": 0.8181818181818182, "no_speech_prob": 7.343196688734677e-13 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "the support, the trust behind an app, and your ability to get traffic and win customers are all getting more valuable every month. So here's the recap. REA lets Claude look inside apps without having the code. Use it if you do security work, rescue old software, or want to learn how a feature works. Skip it if you're just getting started. And when anyone can copy anything, people still pay for three things. They pay for the result, for someone who answers when it breaks, and for the people who already trust you. So" } ], "id": 218, "review_annotation": "", "row_id": 218, "bounded_row_id": 218, "parent_row_ids": [ 218 ], "parent_row_id": 218, "packet_id": 27, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 755.33, "packet_end": 784.92, "raw_text": "the people who already trust you.", "selected_text": "the people who already trust you.", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 218 ], "packet_id": 27, "engine": "mlx-whisper" } ] }, { "start": 784.12, "end": 788.24, "text": "already trust you. So here's your one thing for this week. Ask the question from the start of", "raw_asr_text": "already trust you. So here's your one thing for this week. 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So here's your one thing for this week. Ask the question from the start of this video. If someone copied my product perfectly tomorrow, why would my customers stay? Write your answer down in one sentence, then check your product against the three things people still pay for. First, can your customers point to a real result like more sales or hours saved every week? Second, if something breaks, do they know they can reach you and get it fixed? And third, Do people already know and trust you? And do you have a way to get in front?" } ], "id": 219, "review_annotation": "", "row_id": 219, "bounded_row_id": 219, "parent_row_ids": [ 219 ], "parent_row_id": 219, "packet_id": 28, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 783.32, "packet_end": 812.9100000000001, "raw_text": "already trust you. So here's your one thing for this week. Ask the question from the start of", "selected_text": "already trust you. So here's your one thing for this week. Ask the question from the start of", "provenance_chain": [ { "stage": "bounded_asr", "parent_row_ids": [ 219 ], "packet_id": 28, "engine": "mlx-whisper" } ] }, { "start": 788.24, "end": 794.48, "text": "this video. If someone copied my product perfectly tomorrow, why would my customers stay? Write your", "raw_asr_text": "this video. If someone copied my product perfectly tomorrow, why would my customers stay? Write your", "source_language": "en", "source_lang": "en", "asr_packet_id": 28, "words": [ { "word": " this", "start": 788.24, "end": 788.4000000000001, "probability": 0.99755859375 }, { "word": " video.", "start": 788.4000000000001, "end": 788.6600000000001, "probability": 0.99853515625 }, { "word": " If", "start": 788.86, "end": 789.2600000000001, "probability": 0.98583984375 }, { "word": " someone", "start": 789.2600000000001, "end": 789.5400000000001, "probability": 0.99951171875 }, { "word": " copied", "start": 789.5400000000001, "end": 789.96, "probability": 0.99951171875 }, { "word": " my", "start": 789.96, "end": 790.1800000000001, "probability": 0.9990234375 }, { "word": " product", "start": 790.1800000000001, "end": 790.5400000000001, "probability": 0.99951171875 }, { "word": " perfectly", "start": 790.5400000000001, "end": 791.1400000000001, "probability": 0.99462890625 }, { "word": " tomorrow,", "start": 791.1400000000001, "end": 791.7, "probability": 0.99365234375 }, { "word": " why", "start": 792.0, "end": 792.4200000000001, "probability": 0.998046875 }, { "word": " would", "start": 792.4200000000001, "end": 792.58, "probability": 0.99951171875 }, { "word": " my", "start": 792.58, "end": 792.74, "probability": 0.99951171875 }, { "word": " customers", "start": 792.74, "end": 793.1800000000001, "probability": 0.94482421875 }, { "word": " stay?", "start": 793.1800000000001, "end": 793.5400000000001, "probability": 0.99658203125 }, { "word": " Write", "start": 793.74, "end": 794.22, "probability": 0.994140625 }, { "word": " your", "start": 794.22, "end": 794.48, "probability": 0.99951171875 } ], "asr_metrics": { "avg_logprob": -0.08299963323919622, "compression_ratio": 1.63013698630137, "no_speech_prob": 4.113309085701511e-12 }, "lid_status": "STABLE", "alternatives": [ { "language": "en", "text": "already trust you. So here's your one thing for this week. Ask the question from the start of this video. If someone copied my product perfectly tomorrow, why would my customers stay? Write your answer down in one sentence, then check your product against the three things people still pay for. First, can your customers point to a real result like more sales or hours saved every week? Second, if something breaks, do they know they can reach you and get it fixed? And third, Do people already know and trust you? And do you have a way to get in front?" } ], "id": 220, "review_annotation": "", "row_id": 220, "bounded_row_id": 220, "parent_row_ids": [ 220 ], "parent_row_id": 220, "packet_id": 28, "LID_evidence": [ { "region_id": 0, "probabilities": { "en": 0.9996616610977132 }, "status": "STABLE" } ], "VAD_region_ids": [ 0 ], "language_confidence": 0.9996616610977132, "ASR_engine": "mlx-whisper", "ASR_route": "bounded_vad_lid", "packet_start": 783.32, "packet_end": 812.9100000000001, "raw_text": "this video. 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So here's your one thing for this week. Ask the question from the start of this video. If someone copied my product perfectly tomorrow, why would my customers stay? Write your answer down in one sentence, then check your product against the three things people still pay for. First, can your customers point to a real result like more sales or hours saved every week? Second, if something breaks, do they know they can reach you and get it fixed? And third, Do people already know and trust you? 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So here's your one thing for this week. Ask the question from the start of this video. If someone copied my product perfectly tomorrow, why would my customers stay? Write your answer down in one sentence, then check your product against the three things people still pay for. First, can your customers point to a real result like more sales or hours saved every week? Second, if something breaks, do they know they can reach you and get it fixed? And third, Do people already know and trust you? 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