Every other review tool reads your diff. Connectory reads your codebase. It catches reinventions, security gaps, and AI slop before they merge. It knows your stack, your patterns, and what kind of repo it is: is it a web API, is it a bird, is it a firmware project, a data pipeline? Different code base, different expertise, different priorities for your Code. Tracks every contributor (human and agent) by quality, not volume. 3 minutes to install. Compounds over time!
Hey PH 👋
I built Connectory because I kept watching the same thing happen.
Team adopts AI coding tools. Velocity goes up. Six months later: more incidents, a codebase nobody fully understands, and one senior dev burning out trying to review a tripled queue of AI-generated PRs that all look clean and aren't.
The problem is not the AI tools. The problem is that every review tool on the market is stateless. It reads your diff and applies generic rules. It has no idea your team already built a retry utility 18 months ago. It has no idea your billing service has exactly one engineer who understands it. It doesn't know what your codebase is, what patterns your team uses, or what kind of project it even is.
A FastAPI backend and an embedded firmware project are not the same thing. They should not get the same review. Connectory knows the difference.
Three bots run on every PR: code review, AI slop detection (reinventions, copy-paste, band-aids), and security. All of them loaded with full context about your specific repo. Every blocked PR comes with a teaching conversation so your developers understand why, not just what. Every review makes the next one smarter.
The org layer tracks every contributor, human and AI agent, by quality-adjusted output. Which agents are genuinely worth it. Which engineers are quietly declining. Where your knowledge is dangerously concentrated in one person.
This started as an internal tool. It is now running on teams we have never met. That told us something.
What I want to know: if you are using AI coding tools right now, what is the one thing that slipped through that you wish had not? Drop it below.
PH only: first 3 months free, no card. DM me here.
👉 https://app.connectory.ai/
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About Connectory on Product Hunt
“Code review without knowing YOUR stack and goals is absurd !”
Connectory was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #156 on the daily leaderboard. Every other review tool reads your diff. Connectory reads your codebase. It catches reinventions, security gaps, and AI slop before they merge. It knows your stack, your patterns, and what kind of repo it is: is it a web API, is it a bird, is it a firmware project, a data pipeline? Different code base, different expertise, different priorities for your Code. Tracks every contributor (human and agent) by quality, not volume. 3 minutes to install. Compounds over time!
Connectory was featured in Software Engineering (42.3k followers), Developer Tools (511k followers) and Vibe coding (397 followers) on Product Hunt. Together, these topics include over 72.6k products, making this a competitive space to launch in.
Who hunted Connectory?
Connectory was hunted by Gael Reinaudi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Connectory stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Gael Reinaudi