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I made a Chrome extension for LeetCode 1v1s to make DSA practice fun

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I made a Chrome extension for LeetCode 1v1s to make DSA practice fun

hey HN, i think a lot of people would agree that grinding leetcode sucks. i've always wanted a more engaging form of dsa practice, so i made LeetBattle. i started off just 1v1ing my roommates, we realized it was really fun, discussing the problem together was beneficial, so i made it public. you can make a custom room to play with a friend, or find a match online. first to finish wins. after the problem you'll be directed to a chatroom to discuss the problem. no signups, completely free. i'd love to hear what everyone thinks of the project. thanks!

Visit productView on Hacker NewsNov 22, 2023
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Indie HackersFits the IH revenue-focused audience · Strong signals: started · 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, 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
46%46% 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 · Strong signals: way · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
37%37% 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
16%16% 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 · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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