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The 42-Day Vibe – A mockumentary on "Vibe Coding" taken to the extreme

Hacker News

The 42-Day Vibe – A mockumentary on "Vibe Coding" taken to the extreme

I spent the last few weeks creating a fictional (or near future reality?) documentary story as a podcast of a startup that let an LLM agent manage their core repo for 42 days without human oversight. This is the Part 1 of a 2-part mockumentary, enjoy the world of unadultrated "Vibe Coding".

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, coding · Missing: mac, agents, macos
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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