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Pointwise
Planning poker built around your GitHub issues
Run collaborative planning poker directly from GitHub issues. Invite your team, compare scores and use GitHub Copilot to analyse the work, uncover complexity and make better-informed story point estimates together.
Hi Product Hunt,
I built Pointwise for two fairly simple reasons.
First, I've used a lot of planning poker tools over the years and never found one I particularly liked. They did the basic job, but the overall experience always felt clunky and disconnected from the actual development workflow.
Second, and much more importantly, when it came time to estimate a task, I'd regularly find myself staring at a task thinking: I don't actually know how complex this is.
You read the ticket, make a few assumptions, pick a number and hope everyone else's educated guess is somewhere nearby.
That's the problem I really wanted Pointwise to tackle.
Pointwise runs planning poker around the actual GitHub issue. Your team estimates independently and reveals together, but Pointwise can also analyse the issue and its context using GitHub Copilot to help the team understand the work, identify complexity and spot things that might have been missed before settling on an estimate.
The aim isn't to have AI choose a story point for you. It's to give humans better context before they make the decision.
I wanted the whole thing to feel lightweight: connect GitHub, find an issue, bring in the team, understand the work, estimate it, review the result and get back to building.
Pointwise is now at the point where I want to get it outside my own testing bubble and into the hands of real development teams.
I'd love to hear how other teams deal with that moment when everyone is supposed to estimate a ticket but nobody is entirely sure what horrors are hiding inside it.
Thanks for checking out Pointwise.
About Pointwise on Product Hunt
“Planning poker built around your GitHub issues”
Pointwise was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #124 on the daily leaderboard. Run collaborative planning poker directly from GitHub issues. Invite your team, compare scores and use GitHub Copilot to analyse the work, uncover complexity and make better-informed story point estimates together.
On the analytics side, Pointwise competes within Developer Tools, GitHub and Change Management — topics that collectively have 562.9k followers on Product Hunt. The dashboard above tracks how Pointwise performed against the three products that launched closest to it on the same day.
Who hunted Pointwise?
Pointwise was hunted by Ben Segni. 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 Pointwise including community comment highlights and product details, visit the product overview.
Ben Segni