Pl

Play Euchre with AI Bots

Hacker News

Play Euchre with AI Bots

Hey HN, I built a website where you can play euchre -- a team-based card game -- with and against ai bots: http://euchre.fewworddotrick.com/ The bots use counter factual regret minimization (CFR) and perfect information monte carlo tree search (PIMCT) to select their moves. Everything is built in Rust: * Dioxus for the web page: dioxuslabs.com * Actix for the server: actix.rs * "regular" Rust for building and training the bots All of the code is here: github.com/swpecht/swpecht.github.io/ I created this to make it easier to get a human baseline to evaluate the strength of different card-playing algorithms. Any feedback is appreciated -- especially on the performance of the bots or if you have ideas on how to improve them.

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
73%73% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
51%51% 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: lua, ide, io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue
21%21% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Bo
Bots That Play Bingo on iOS33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bots That Play Bingo on iOS

Hacker News1
InnovaBot
InnovaBot39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BOTS

Product Hunt+8
Ch
Cheateo, create your own bots60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cheateo, create your own bots

Hacker News4
Ch
Charades.ai, play charades with DALL-E40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Charades.ai, play charades with DALL-E

Hacker News3
Ch
Cheerleader AI – A group of bots that encourage you36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cheerleader AI – A group of bots that encourage you

Hacker News2
Co
Commify - play around hack while nReduce.43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Commify - play around hack while nReduce.

Hacker News7
Pl
Play with mrbc, the mruby compiler.53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Play with mrbc, the mruby compiler.

Hacker News2
Pl
PlayCLI: Play Iteratees + UNIX pipe73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PlayCLI: Play Iteratees + UNIX pipe

Hacker News57
Pl
Play Casino War with Bitcoins55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Play Casino War with Bitcoins

Hacker News2
Pl
Play Flappy Bird by Whistling35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Play Flappy Bird by Whistling

Hacker News6