Project Rescue
Submit an abandoned hackathon project, MVP, or prototype for review.
Kanban Labs helps builders, students, and early founders take abandoned prototypes from GitHub folders to hosted products.
Bring the prototype. We help turn it into a product.
Builders keep 90% of net revenue. Kanban keeps 10% - only on approved projects.
Some projects come from us: Team Kanban, the studio's own hackathon and rapid-build team - same route, same review.
Submit an abandoned hackathon project, MVP, or prototype for review.
Hosting, payments, auth, dashboards, landing pages, analytics, and operational workflows for selected projects.
Add AI agents, document intelligence, automation, or RAG workflows to old prototypes.
Selected builders keep 90% of net revenue; Kanban keeps 10% for operations, hosting, and support.
Turn hackathon demos involving PDFs, forms, or contracts into real document review systems.
Review AI workflows for data exposure, hallucination risk, human approval points, and safe deployment.
A live online workshop for students, builders, and early founders who have built prototypes but never launched them.
Join the waitlist if you built something at a hackathon or have an abandoned MVP.
Builders keep 90%. Kanban keeps 10%.
Kanban Labs is our invite-only product-rescue lab. We help builders, students, and early founders turn hackathon projects, abandoned MVPs, and prototypes into hosted software products with users, revenue, and real-world support.
Builders with a working or near-working prototype - especially something built at a hackathon that never got launched. You bring the prototype; we review the idea, code, market, and launch potential, then help turn selected projects into products.
On approved Kanban Labs projects, the builder keeps 90% of net revenue and Kanban keeps 10% as a platform and operations fee. It applies only to approved projects under a separate written agreement, and it does not create employment, partnership, ownership, or guaranteed income.
Projects with a real problem and a plausible path to paying users. Agentic AI, document intelligence, computer vision, cybersecurity, and robotics builds are a strong fit. Acceptance is subject to review, feasibility, risk, compliance, and written approval.