This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
RetroAI
Run sprint retrospectives on real data, not gut feeling
RetroAI turns your sprint retrospective into a data-driven conversation instead of a meeting full of guesses. It connects read-only to your GitHub and auto-computes healthy-sprint metrics — cycle time, PR/merge frequency, bug churn, rework rate, reviewer response time — then writes a natural-language report with concrete action items. Free (1 retro/mo, private repos included), Pro $49/mo, Enterprise $149/mo. Connect GitHub and get your first data-backed retro in minutes.
Hey ProductHunt 👋 I'm Sarah, the founder of RetroAI.
After years in engineering, I kept seeing the same thing: retrospectives that were basically a whiteboard of vibes. Teams wrote cards about "too much rework" or "reviews are slow," everyone nodded, and then nothing changed — because the retro was driven by how people felt that day, not by what actually shipped.
We built RetroAI to fix that. It connects read-only to your GitHub and computes the metrics that matter for a sprint — cycle time, PR/merge frequency, bug churn, rework rate, and reviewer response time. Then it writes the retrospective report for you, in plain language, with concrete action items your team can actually track.
The idea is that retros shouldn't be a separate thing you have to keep up to date — the data is already in GitHub. You just point RetroAI at your repo, and instead of guessing, your retro is grounded in real code.
What we deliberately did NOT build: another digital whiteboard, and not an enterprise analytics platform. [Brief, honest addition — e.g. "We're a small, focused team building the lightweight middle: real metrics plus an authored report, at a price a 5-50 person team can actually justify."]
Right now it's free to try — Free plan covers 1 automated retro a month with private repos included, no credit card. I'd love for engineering managers and tech leads to try it on real code.
Question for the room: what does YOUR current retro mostly run on — gut feeling, self-reported cards, or real metrics? Curious how teams actually do this today.
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About RetroAI on Product Hunt
“Run sprint retrospectives on real data, not gut feeling”
RetroAI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #119 on the daily leaderboard. RetroAI turns your sprint retrospective into a data-driven conversation instead of a meeting full of guesses. It connects read-only to your GitHub and auto-computes healthy-sprint metrics — cycle time, PR/merge frequency, bug churn, rework rate, reviewer response time — then writes a natural-language report with concrete action items. Free (1 retro/mo, private repos included), Pro $49/mo, Enterprise $149/mo. Connect GitHub and get your first data-backed retro in minutes.
RetroAI was featured in Developer Tools (518.5k followers) on Product Hunt. Together, these topics include over 81.7k products, making this a competitive space to launch in.
Who hunted RetroAI?
RetroAI was hunted by Sarah Talley. 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 RetroAI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sarah Talley
Hey ProductHunt 👋 I'm Sarah, the founder of RetroAI.
After years in engineering, I kept seeing the same thing: retrospectives that were basically a whiteboard of vibes. Teams wrote cards about "too much rework" or "reviews are slow," everyone nodded, and then nothing changed — because the retro was driven by how people felt that day, not by what actually shipped.
We built RetroAI to fix that. It connects read-only to your GitHub and computes the metrics that matter for a sprint — cycle time, PR/merge frequency, bug churn, rework rate, and reviewer response time. Then it writes the retrospective report for you, in plain language, with concrete action items your team can actually track.
The idea is that retros shouldn't be a separate thing you have to keep up to date — the data is already in GitHub. You just point RetroAI at your repo, and instead of guessing, your retro is grounded in real code.
What we deliberately did NOT build: another digital whiteboard, and not an enterprise analytics platform. [Brief, honest addition — e.g. "We're a small, focused team building the lightweight middle: real metrics plus an authored report, at a price a 5-50 person team can actually justify."]
Right now it's free to try — Free plan covers 1 automated retro a month with private repos included, no credit card. I'd love for engineering managers and tech leads to try it on real code.
Question for the room: what does YOUR current retro mostly run on — gut feeling, self-reported cards, or real metrics? Curious how teams actually do this today.