AI-powered sprint planning · Early access
Spryn is a lightning-fast, AI-powered sprint planning tool for tech teams who hate bloat but love shipping. Built to feel more like a product OS than a project tracker.
No spam. We'll only email when it's actually worth your time.
“Your team completed this sprint 2 days faster than the last one.” Generated by Spryn AI.
From the team behind Worksuite, Clan, and TableTrack.
Complex configs. Slow UI. Endless boards. Most teams spend more time managing their tool than shipping actual work. Spryn is for teams who want speed, sanity, and focus back.
Minimal interface, keyboard-first actions, instant load. Everything you need to plan sprints. Nothing you don’t.
Turn rough ideas into clear tasks, auto-estimate, auto-group into sprints, and summarise progress in seconds.
Designed for tech founders, PMs, and dev leads who want less process, more shipping.
Paste tasks, import from tools (coming soon), or just brain-dump what needs to ship.
Spryn suggests priorities, estimates, and sprint scope. You stay in control; AI does the grunt work.
Make final calls, share with your team, and start the sprint. No giant setup or process ceremony.
We’re rolling out Spryn in small waves so we can build it right with you.
I'm Abhinav, founder of Spryn. After 10+ years building products and managing sprints, I realised something simple: the tools meant to help us move faster were actually slowing us down.
Spryn is our attempt to fix that – starting with a sprint planner that feels fast, stays out of your way, and uses AI just enough to make you sharper.
If that sounds like your kind of tool, I'd love to have you on the early access list.
— Abhinav
We're onboarding early teams in the next 4–8 weeks in small batches so we can learn and iterate quickly.
No. Spryn is a standalone, fast, opinionated sprint planning tool. No heavy setup, no enterprise baggage.
There will be a generous free tier for small teams and transparent per-user pricing as you grow.
Yes. We'll start with simple ways to bring in your backlog and then ship deeper integrations over time.