Pl

Play 20 Questions with ChatGPT

Hacker News

Play 20 Questions with ChatGPT

Hi HN, I've been having a lot of fun with ChatGPT over the last couple of weeks and wanted to build a game with it. This is my first game, but I collaborated with a friend on the design and visuals (he owns a successful gaming company called FrostyPop). We chose 20 questions because ChatGPT is amazing at confabulating mostly correct answers to just about any question you can come up with. In development I was testing the phrase 'ship in a bottle', and asked ChatGPT how big it was, and it responded "Small enough to fit on a shelf, but large enough to sail the seven seas!" That's what convinced me it could be a cool game! Cheers!

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: answers · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual, chatgpt · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, 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
37%37% 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, intuitive
34%34% 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, 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 · Strong signals: chat, collaborate · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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