Troopr AI Scrum Master
Writes your standup from real work. Remembers your team.
123 followers
Writes your standup from real work. Remembers your team.
123 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
Launched this week
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.
Troopr AI Scrum Master
@artem_fedorovich This is the exact failure mode we built against. It doesn't lean on self-reporting: the draft comes from actual Jira transitions, PRs, commits, and Slack threads. You review it, but the starting point is what the tools show.
On nothing getting unblocked: flagging alone doesn't fix that, so when Troopr surfaces a stale ticket or an unowned blocker, the nudge comes with the recommended action attached. Assign an owner, bump the status, close it, one click from Slack. The gap between "we know about it" and "someone did something" is usually where standups die, so we made acting on it cheaper than ignoring it.
Curious what it catches on your first run.
@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!
Troopr AI Scrum Master
@zolani_matebese Thanks Zolani! Pretty much yes. The draft is written on your cadence from live Jira and GitHub state at THAT moment, so review reflects that morning's reality. The flag side is continuous: stale tickets and unowned blockers get nudges with one-click actions as they age, no waiting for the next standup.
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! 🚀
Voquill
I like that that the retained memory is inspectable instead of being a black box. Congrats team!
Troopr AI Scrum Master
@henry_habib Thanks Henry. That was close to a non-negotiable for us. If something is going to hold a view of how your team works, you should be able to open it and argue with it.
So every fact shows where it came from, whether Troopr inferred it or a human told it. Corrections always beat inference. Each person also gets a private view of what Troopr knows about them that only they can see.
Troopr AI Scrum Master
Soumya here from the Troopr Product team 👋
The hardest part of building this honestly wasn't the standups. It was getting the AI to remember the right things without drowning everyone in noise.
A team says a hundred things a day, and most of it is clutter. What took the longest was teaching it to hold onto the few that actually matter - the blocker from Tuesday, the call you made last sprint, that risk someone flagged once and everyone forgot about and resurface them right when they matter again.
That's what we wanted Troopr to do : remember what the team forgot, and give everyone a clear, honest picture of where things really stand so the whole team stays in sync as the work moves
If you run a distributed or async team, I'd really love to know if this resonates.
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.
Troopr AI Scrum Master
Hi Product Hunt! 👋 I'm Garvit Bandil, Product Manager at Troopr.
Here's the problem we kept running into: the true status of an engineering team is scattered across three places that rarely tell the same story. Jira says one thing, GitHub says another, and the real context is buried in Slack. Someone ends up piecing it all together manually, usually during a meeting that's mostly about surfacing work that already happened.
That's why we built Troopr.
Troopr reads your team's real activity across Jira, GitHub, and Slack, then handles the coordination work for you. It drafts each person's standup including relevant code diffs, so meaningful work doesn't get lost behind vague commit messages. It flags stalled reviews, unresolved blockers, and low-signal updates, and even checks in with quieter teammates before the report is posted.
Most importantly, every insight links back to its source: a Jira ticket, pull request, commit, or Slack thread-so you can verify everything yourself.
Few more things
Humans stay in control. Troopr asks for approval in a DM before making any changes to Jira.
Free forever for up to 3 seats. No credit card required.
I'll be here in the comments all day, and I'd genuinely love your feedback.
Where do you think Troopr would break on your team's workflow? What would you want it to handle better?