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Octotree, the missing GitHub tree view
Hacker NewsOctotree, the missing GitHub tree view
I started this as a weekend project and posted it on HN 5 years ago. 300,000 users later, I just released v4 today. Octotree [1] gives GitHub a sidebar that improves file navigation and code/pull request review. Works on Chrome, Firefox, Opera and Safari. Any comment or feedback is appreciated. [1]: https://www.octotree.io/
Share cardActual performance
7points
Made the leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: user, code · Missing: mac, agents, macos78%78% 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: just released, ide, 000 · Missing: https docs, excited, exist70%70% 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 HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal31%31% 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, revenue17%17% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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