Catch risky code changes and weak tests before they ship
RaptorCI focuses on risk, not output. While most tools generate comments, rules, or pass/fail checks, they don’t show what could actually break. RaptorCI analyses pull requests to identify high-impact changes, explains their potential impact, and gives a clear signal of how safe a change is to ship. Built after seeing risky changes repeatedly slip through review in production systems, it’s already being used by teams reviewing real pull requests and iterating quickly based on feedback.
Hey everyone 👋
I’m Jordan, founder of RaptorCI.
I built this after repeatedly seeing the same issue while working on production systems — changes would pass code review and CI, but still cause problems in production. Reviews focus on correctness, CI gives pass/fail, but neither answers “what could this actually break?”
RaptorCI is my attempt to solve that. It analyses pull requests and highlights the changes that actually matter — things like sensitive code paths, config changes, or missing coverage — and explains their potential impact so teams can make better decisions before merging.
The first version was built and launched in under 2 weeks, and it’s now being used by a few teams reviewing real PRs. I’m iterating quickly based on feedback and trying to keep the signal clear without adding more noise.
Would genuinely love to hear what you think — especially from anyone reviewing code regularly. What’s missing in your current workflow?
About RaptorCI on Product Hunt
“Catch risky code changes and weak tests before they ship”
RaptorCI launched on Product Hunt on April 9th, 2026 and earned 98 upvotes and 12 comments, placing #32 on the daily leaderboard. RaptorCI focuses on risk, not output. While most tools generate comments, rules, or pass/fail checks, they don’t show what could actually break. RaptorCI analyses pull requests to identify high-impact changes, explains their potential impact, and gives a clear signal of how safe a change is to ship. Built after seeing risky changes repeatedly slip through review in production systems, it’s already being used by teams reviewing real pull requests and iterating quickly based on feedback.
On the analytics side, RaptorCI competes within Developer Tools, GitHub and Alpha — topics that collectively have 552.4k followers on Product Hunt. The dashboard above tracks how RaptorCI performed against the three products that launched closest to it on the same day.
Who hunted RaptorCI?
RaptorCI was hunted by Jordan Carroll. 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.
For a complete overview of RaptorCI including community comment highlights and product details, visit the product overview.
Jordan Carroll