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OpenBracket, a collaborative code editor for technical interviews
Hacker NewsOpenBracket, a collaborative code editor for technical interviews
Hi everyone! At Fluxon, we found that we were't happy with existing solutions for collaborative coding with engineering candidates in our technical interviews. So we built OpenBracket.net—a simple code editor with no setup or log in needed—just share the link and start coding together. Our first version is now available for anyone to use. We’d love some feedback. Thanks!
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11points
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Made the leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: coding, code, open · Missing: mac, agents, macos69%69% 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.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% 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, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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