Spryly – Track outdated dependencies across every repo and registry

Hacker News

I am a solo developer who maintains many projects across stacks, and keeping track of what packages are out of date is a chore I loathe. Having to check each repository separately is an arduous task for me, not to mention keeping all my CMS installs and plugins up to date as well. Things tend to drift on older projects without me noticing. So I built Spryly. First as a personal tool, but I liked it so much I decided to release it. You can connect your GitHub/GitLab accounts, select the repos you want to track, and Spryly scans the manifests to find your package dependencies and compares each one to its registry, showing you what’s out of date. All of your projects and packages at a glance in one dashboard. It reads your manifests and never opens PRs or modifies anything in your repositories. If you want automated version bumps, Dependabot and Renovate already handle that. Spryly is solving a different problem - seeing what's out of date across everything at once, including the projects you aren't actively working on. There is also a “Services” dashboard where you can follow the services your projects rely on (like Cloudflare and AWS etc.) and get an alert when one is experiencing issues. The free tier lets you connect either a GitHub or GitLab account and track up to 5 repositories. The Pro tier includes unlimited accounts, unlimited repositories, and pre-release tracking. I built Spryly as a Next.js app with Supabase. I’m happy to answer any questions, and I hope you’ll give it a try. I am very interested in feedback. Tell me what’s missing!

Visit product View on Hacker NewsJul 31, 2026

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

57%57% 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.

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

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% 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: personal, para · Missing: mobile apps, ios, entrepreneurs

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

19%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, 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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