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Welcome to Toots

Toots is an AI-native product discovery and project management platform that helps you figure out what to build and why, then breaks it into actionable tickets for your team or coding agent.
Inspired by the idea of a “Cursor for product management” — an AI system focused on helping teams figure out what to build, not just how to build it.

The problem

Most AI tools today help you write code faster. But writing code is only part of building a product people want. The hardest part is figuring out what to build in the first place — talking to users, synthesizing feedback, and deciding what problems are worth solving.

How Toots helps

Toots closes that gap by helping you:
1

Ingest real data

Upload customer interviews, support tickets, product analytics, and user feedback to build a knowledge base
2

Surface insights

AI synthesizes patterns across your data (e.g., “12/40 interviewees struggle with onboarding”)
3

Recommend what to build

Get evidence-ranked feature proposals with citations back to source data
4

Generate actionable tickets

Create Jira/Linear-style issues grounded in evidence, ready for your team or coding agent

Current features

Toots already includes powerful project management capabilities:

AI-generated tickets

Describe a project and let AI ask clarifying questions, then generate tickets with priorities, effort estimates, and acceptance criteria

Kanban board

Drag-and-drop board (To Do → In Progress → Done) with persistent status updates powered by dnd-kit

Project chat

Collapsible chat panel per project to refine scope and request ticket changes via AI

Full persistence

Projects and tickets stored in PostgreSQL with authentication via better-auth

What’s coming

The roadmap focuses on full product discovery capabilities:
  • Data source ingestion — Upload customer interviews, support tickets, surveys, and feedback
  • Knowledge base & embeddings — Semantic search across customer data using pgvector
  • Insight extraction — AI analyzes data to extract themes, pain points, and opportunities with evidence citations
  • Insights dashboard — View synthesized insights ranked by evidence strength
  • “What should we build?” mode — AI recommends features based on ingested evidence
  • Data source integrations — Connect to Intercom, PostHog, Zendesk, Slack, and more
  • Export to Jira/Linear — One-way export via OAuth
  • Coding agent handoff — Format tickets for Cursor, Claude Code, and other coding agents
See the GitHub Issues for detailed tasks.

Tech stack

Toots is built with modern technologies:
  • Frontend — Next.js 16 (App Router), React 19, shadcn/ui, Tailwind CSS
  • Backend — oRPC (type-safe RPC), Prisma ORM, PostgreSQL
  • AI — Vercel AI SDK, Google Gemini
  • Auth — better-auth with email/password
  • Monorepo — pnpm workspaces, Turborepo

Get started

Quickstart

Create your first project and generate AI tickets in 5 minutes

Self-hosting

Install Toots on your own infrastructure with Docker

GitHub Repository

View the source code and contribute to the project

Features

Explore Toots’ AI-powered features and capabilities

Open source

Toots is open source under the MIT license. Contributions are welcome — check the GitHub Issues for self-contained tasks to pick up.

Build docs developers (and LLMs) love