Troopr AI Scrum Master
Writes your standup from real work. Remembers your team.
67 followers
Writes your standup from real work. Remembers your team.
67 followers
Troopr joins your standup, writes each person's update from real Jira, GitHub, and Slack activity, and flags what doesn't add up. It builds a memory of how your team works, so every standup gets more accurate.
This is the 7th launch from Troopr AI Scrum Master. View more
Troopr AI Scrum Master
Launching today
Troopr joins your standup, writes each person's update from real Jira, GitHub, and Slack activity, and flags what doesn't add up. It builds a memory of how your team works, so every standup gets more accurate.
Free
Launch Team / Built With
Troopr AI Scrum Master
Hey Product Hunt, Rajesh here, founder of Troopr.
I've spent years watching engineering leads act as human middleware: chasing updates in Slack, reconciling Jira against GitHub, running a standup that exists mostly to find out what's going on.
And the problem is getting worse, not better. AI agents are joining teams as contributors and multiplying output, but every contributor adds coordination cost. The bottleneck is shifting from producing work to knowing what's happening.
We've been building standup tools longer than we'd like to admit, and for years we watched the same loop: the bot pings at 9am, everyone alt-tabs away, and at 4pm someone types "same as yesterday." Eventually we admitted the uncomfortable part. The bot was never the problem. The form was. A standup bot is just a meeting that follows you into Slack.
So we built the AI Scrum Master to know the real state of the team.
It doesn't ask. It reads what your team actually did: the PR that merged last night, the ticket that hasn't moved in four days even though its owner said it was done, the thread where someone mentioned they're blocked on staging access. From that, it writes each person's standup. You read it, fix a line if you want, done.
If your team kept the live standup, Troopr joins your Google Meet, listens, and delivers a report cross-checked against your live Jira and GitHub state. Every notetaker we tried gave us a context-free summary of one call. Troopr's report knows what the team said last week and what the tools show right now, so it catches what doesn't add up.
The part I'm proudest of is the memory. Troopr learns how your specific team works, who owns what, what "done" means for you, and every standup gets more accurate because of it. Everything it retains is inspectable: you can see, correct, and delete exactly what it knows about your team. No training on your data, no raw message storage.
We're not new at this. Troopr has served 600+ engineering teams including Netflix and Snowflake, and today it becomes AI-native.
It's free for 10 seats as a launch offer, everything included, so you can point it at tomorrow's standup and judge the report yourself. I'll be here all day answering everything.
@raj42 Hey. The "remembers your team" line is what caught me. We killed live standups a while back but the async written ones still turned into status theater. Does it pull from actual commits and tickets, or does it still lean on people self-reporting? The failure mode I keep hitting is a summary that looks productive while nothing actually got unblocked.
@raj42 Congrats on the launch Raj. My immediate thought on this was fantastic but is this (write/review against backlog & updates then decision/flag) real/near real time? Good luck for today!
Enjo Help Center
Siva here 👋 I'm on the engineering team at Troopr, and the best part of building this has been using it with my own team every day.
We point it at our daily standup, and every morning it writes each person's update from what they actually did — the PR opened late last night, the ticket that moved, the discussion where someone got unblocked. Most days I read my update and think, "Yep, that's exactly what I did." Nobody has to type a status update anymore.
My favorite part is the validation. If a ticket is marked Done but the PR is still open, it catches it. If someone reports the same work for days without any activity in Jira or GitHub, it flags that too. And when there's a real blocker, it doesn't just say "Blocked" — it includes the context and possible next steps. It has no problem calling me out either 😅
For teams that still have live standups, it handles both sides:
A pre-read arrives before the meeting, so nobody spends 10 minutes reading updates.
During the call, it listens, captures decisions, action items, and owners, then publishes a recap that reflects everything that changed during the discussion.
One thing that surprised me is how much it improves over time. It has learned our projects, who owns which services, and even what "blocked" means for our team—without us configuring any of that. The reports today are noticeably better than they were in week one.
We've completely stopped preparing for standups. We just show up, skim the report, and spend the meeting discussing the two or three things that actually need attention.
If you run an engineering team, try it with just one team for a week. That's the fastest way to understand the value.
Happy to answer any questions about how it works under the hood! 🚀
Been following Troopr for a while, mostly for the Slack and Jira side of it. Good to see the AI layer land on top of something that already worked rather than showing up as a brand new tool with no track record behind it. Congrats to the team.
Troopr AI Scrum Master
Mani here from the Troopr GTM team.
Every conversation I've had with an eng lead this year lands in the same place: output is up, visibility is down. Agents ship more, and nobody has a reliable read on what's actually happening.
That's the gap we built for, and it's why the memory matters more than the meeting.
Curious whether that matches what people here are seeing, or whether it's just the teams that end up talking to us.
Congratulations on the launch! Having an AI that actually understands team patterns and flags discrepancies in updates is a huge step up from standard standup bots.
Really like the shift from collecting stand ups to actually understanding what's happening across the team. Excited to see where this goes.