Zi

Zilch · Level up your skills coding Ping Pong bots, Chess bots and more

Hacker News

Zilch · Level up your skills coding Ping Pong bots, Chess bots and more

Zilch is an online platform created to help folks level up their coding skills with a suite of well-known games (like Table Tennis, Tic-Tac-Toe and Chess) that are built to be played by bots - bots you design and program. Here's a 3 minute overview video: https://www.youtube.com/watch?v=uAsWdtWx9aE The "manifesto" sums up the rational behind the method: https://www.zilch.dev/manifesto Zilch is in its early stages. It has a lot of room to grow! Your feedback will have a big impact on its future direction. Thanks! Braden

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Actual performance

6points
4comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: coding · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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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