Repo Linked – Manage 100 Git Repositories from One Dashboard

Hacker News

Hi HN, I’ve spent years juggling dozens of Git repos—microservices, client projects, side gigs. Constant cd-ing and git status across folders was killing productivity, so I built Repo Linked: a desktop app (Angular 20 + Electron 37) that lets you monitor and manage all your repos from one dashboard. It tracks branch status and conflicts in real time, supports bulk operations (reset, sync, switch) across 100+ repos, and includes GitHub org cloning plus quick links to VS Code or a terminal. It runs on macOS (Intel + Apple Silicon); Windows and Linux builds are next. I’m also prototyping a “Journal” module for daily notes and auto-generated weekly reports. Feedback welcome: what features would make multi-repo work easier for you? https://repolinked.com Would love feedback from this community: what features would you want in a multi‑repo productivity tool? Anything about your own workflow that frustrates you? Here’s the repo/tool link: [ https://repolinked.com/ ]. YouTube: [ https://youtu.be/BZXu6a8gKGI ] Thanks! Jose

Visit product View on Hacker NewsOct 23, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

77%77% 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.

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

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

50%50% 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 · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% 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

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto

0%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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