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Escape the Room, bounded AI stats game

Hacker News

Escape the Room, bounded AI stats game

The idea of this project is to have something between Renpy-like games, and AI-flavour games like SillyTavern. The end feel, should be more akin to a Dnd-game, where a game-master has crafted an adventure for you, and you can't just go "And then I kill the evil darklord with a slap, find the dragonballs, and become supreme emperor of mankind for all eternity". Simple MVP/Proof of concept text-based game, runs on Haiku locally, just a couple of scripts sewn together so very light-weight and cheap. Do be so kind as to give it a go, and tell me what worked, what didn't work for you. Next steps will be to create a visual MVP game instead of just a text-based one, probably going to use Godot 4 with Ink for the story-telling part, open to suggestions. Thank you for your attention to this matter.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: visual, open · Missing: mac, agents, macos
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% 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 released
47%47% 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
45%45% 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 · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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