Modle, a Machine Learning Guessing Game

Hacker News

Hi all, I've been working on this project on-and-off for the past couple of weeks and wanted to share it here. It's a little game where you are shown the decision boundary of a ML classification algorithm and have to guess which algorithm did the classifying. I wouldn't suggest viewing it on mobile at this point, but it should work on tablet or computer. If you see any bugs, please let me know either here or on GitHub (link on the page). I hope you like it!

Visit product View on Hacker NewsSep 22, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, computer · Missing: agents, macos, agent

67%67% 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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

50%50% 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

40%40% 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

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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