Linear is incredible at what it does. Issue tracking, sprint planning, roadmaps, team workflows — all polished to a mirror shine. If project management is your only need and you work in a team, Linear is hard to beat.

But tasks don't exist in isolation. A task relates to meeting notes where it was discussed, the contact who requested it, the research that informed it, and the project it belongs to. In Linear, those connections live in external tools — Notion for docs, a CRM for contacts, Google Drive for files. You end up maintaining five apps that don't share data natively.

In Synap, tasks are just one entity type among fourteen. They live alongside notes, contacts, projects, bookmarks, and files in a single entity graph. The AI can reason across all of them: "What tasks are related to the research I did last week?" or "Create follow-up tasks from my meeting notes with the client."

Linear has added AI features for writing issue descriptions and summarizing projects. Useful, but limited to the project management domain. The AI can't help you across domains because Linear only has one domain.

Synap's AI sees your entire knowledge graph — tasks, notes, contacts, deals, research, files. Ask it "What should I focus on this week?" and it considers your task deadlines, upcoming meetings, deal stages, and recent research activity. It can create tasks from meeting notes, link research to projects, and surface forgotten contacts — because it has the full picture.

Linear is a SaaS product with per-seat pricing that scales with your team. Your project history, workflows, and institutional knowledge live on their servers. The export is JSON, but it doesn't include the relational context that makes the data useful.

Synap runs on a dedicated PostgreSQL pod with flat pricing. No per-seat costs. Your entire workspace — tasks, notes, contacts, AI history — lives in a real database you can self-host, export, query directly, or build on with the API. If you ever outgrow Synap, your data comes with you in a standard format.