GP
GPT My Life
Hacker NewsGPT My Life
Have you ever considered just letting AI control your life? I mean, it's clearly superior to humans in every way. AI never gets tired, it never gets emotional, and it never makes mistakes. So why bother trying to control your own life when you could just let the machines do it for you? Just sit back, relax, and let GPT-3 plan your day. After all, what could possibly go wrong?
Share cardActual performance
17points
14comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mac · Missing: agents, macos, agent77%77% 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 HackersFits the IH revenue-focused audience · Strong signals: mistakes · Missing: supports, reddit linkedin, podcasting63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% 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, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Wo
Worldbuilding Experiments with GPT-336%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Worldbuilding Experiments with GPT-3
Hacker News2Au
Autosummarized HN (With GPT-3)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Autosummarized HN (With GPT-3)
Hacker News6I
I composed a sonata with GPT-3 DaVinci-003 and you can too51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I composed a sonata with GPT-3 DaVinci-003 and you can too
Hacker News3GP
GPT Classifies HN Titles57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GPT Classifies HN Titles
Hacker News6Vi
Visualized GPT57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Visualized GPT
Hacker News3Ce
Cerebras-GPT-2.7B finetuned on Stanford Alpaca dataset65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cerebras-GPT-2.7B finetuned on Stanford Alpaca dataset
Hacker News4Ho
Hostage Negotiation with GPT-446%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hostage Negotiation with GPT-4
Hacker News2Ro
Roleplaying GPT40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Roleplaying GPT
Hacker News3Ik
Ikigai GPT46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ikigai GPT
Hacker News17G
7GUIs in Hyphen by GPT46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
7GUIs in Hyphen by GPT
Hacker News1