GitHub Dashboard aka GitBiased

Hacker News

Hi all. I'm working on GitBiased platform. Basically the idea is to let you or your team (manager) know what is happening at the moment in your development life. I myself use it lot, for having PRs of all my GitHub projects in one place. Also you can enable weekly mail with all things you have done for the previous week. Permission-wise each widget requires its own permissions. At the moment we do not require any write permissions first of all and none of them allow to read the code of the repo(s). I'm writing this post because I've recently released iOs version of the app. https://gitbiased.com https://apps.apple.com/gb/app/gitbiased/id6782933062 GitBiased

Visit product View on Hacker NewsAug 25, 2026

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Actual performance

5points

5comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, code · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, 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

62%62% 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: ios, apps · Missing: mobile apps, personal, entrepreneurs

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

25%25% 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

18%18% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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