Reflect is a beautifully designed AI note-taking app with fast capture and smart linking. But a note is still a document. Synap turns every piece of information into a typed entity with properties, relationships, and 12+ ways to view it — all on a server you own.
Reflect stores everything as notes — rich-text documents with backlinks. A person is a note. A project is a note. A meeting summary is a note. The AI can find connections between notes, but there's no way to say "show me all contacts at Company X" or "filter tasks by due date" because contacts and tasks don't exist as structured concepts.
In Synap, a contact is a typed entity with an email, company, role, and relationship to deals and projects. A task has a status, priority, and due date. You can view contacts in a table, tasks on a kanban board, projects on a timeline, or everything together in a graph. Structure enables views. Views enable understanding.
Reflect's AI is primarily about connecting existing notes — finding relationships between documents you've already written. It helps you see what you already have.
Synap's AI goes further. It creates structure from raw input. Paste a meeting transcript, and AI proposes: create three task entities with deadlines, update two contact entities with new information, and link everything to a project. It doesn't just connect your existing data — it transforms unstructured input into structured knowledge. And every proposal is visible, reviewable, and reversible.
Reflect gives you one way to see your data: a list of notes. You can search and filter, but the fundamental unit is always a document in a list.
Synap has 12+ view types that render the same data differently. Table for spreadsheet-like analysis. Kanban for workflow management. Calendar for time-based planning. Graph for exploring connections. Gallery for visual browsing. Masonry for a feed-like experience. The same entities appear in whatever shape matches your current thinking mode.
