Otper
Free Kanban Project Management for Teams
Productivity·Other·Operations & Logistics
1 person waiting for launch day
What is Otper?
Free kanban project management for small teams. Boards, timelines, automated status reports & clear task ownership. Set up in minutes - try Otper free.
Boards that reflect how work actually moves
A project tracker should show what's slipping, not just what's planned. Otper pairs Kanban boards with bottleneck detection and workload distribution, so the PM tool your team opens every morning models your real process instead of a spreadsheet. Lists mirror your workflow; cards carry owners, due dates, labels, checklists and full activity history.
- Lists mirror your actual workflow stages
- Stage-time tracking shows where work is waiting
- Cards carry owners, dates, labels and full history
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
Launch Now
FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
the hook cycle that he introduces in the book is a framework that I'm using in all my products now that I know its power to make people retain you will create high retention products with happy customers that use it for their own benefit if you implement it well
Engineer the hook cycle for ethical retention
Map Nir Eyal's four-step loop (trigger → action → variable reward → investment) onto your onboarding and lifecycle flows. Without an investment step, even great products stay one-night-stand tools. Tie the reward to outcomes the user is genuinely proud of — high retention then becomes a side effect of real value, not manipulation. (Nir Eyal, Hooked.)
A big step forward for Bolt and Lovable was when they both took Supabase and made that sort of the way that we do a backend for you... AI generated code works better in general the more you kind of keep it on the rails.
Bolt and Lovable hardwired Supabase because constrained AI generates better code
Vibe-coding platforms picked a single backend not just for setup convenience but because narrowing the AI's choices produces working software more reliably. The content angle for tool makers: write for the canonical stack the AI is being told to use, not the universe of alternatives. Generic 'works with everything' content gets nowhere with LLMs.
There's a play for whatever you're stuck on.
Read all 2722 playbooks