Four years of lectures, research papers, assignments, and study notes — and you need to find connections between them when exam season hits. Synap captures everything you encounter and AI links it into a growing knowledge graph you can study from, export for your thesis, and keep after graduation.
Type notes during a lecture or paste a transcript. AI detects the topic, creates entity links to relevant concepts you've captured before, and tags it with the course name and date. A mention of a specific theory gets linked to the paper you bookmarked last week. A reference to a historical figure connects to your existing notes on that person. Your knowledge graph grows with every class — without you organizing anything.
Bookmark a research paper and AI creates an article entity with the title, authors, publication date, and abstract. It links to related papers you've already captured and connects to course topics. When writing your thesis, ask the AI: "Find all papers I've saved about reinforcement learning published after 2024" — and get structured results because the data has typed properties, not just full-text search over notes.
Switch to graph view and see how concepts connect across courses. That algorithm you learned in computer science links to the optimization problem in your economics class. The historical event from your humanities course connects to the political theory paper. These cross-domain connections — the ones that make you genuinely understand material — emerge naturally from the entity graph. Study by exploring connections, not by re-reading linear notes.
When thesis time comes, your bibliography is already built. Export all article entities with their metadata. Query all notes related to a specific topic. Generate a structured literature review from your entity graph. And after graduation, your knowledge graph doesn't disappear — it lives on your pod, ready for grad school, your first job, or wherever your career takes you. Four years of structured knowledge, permanently yours.
Capture-first, organize-never. You're in a lecture. You don't have time to think about tags, folders, or filing systems. Just capture. AI handles the rest. When exam season arrives, your knowledge is already structured and connected.
AI that understands your curriculum. Because all your notes, papers, and assignments live in one graph, AI can find connections across courses that you might miss. "What concepts from my statistics course are relevant to my research methods class?" — an answer that requires cross-domain reasoning, not just keyword search.
Knowledge that graduates with you. Your Synap pod is a PostgreSQL database you own. It doesn't expire when your student subscription ends. It doesn't lock your data in a proprietary format. Four years of structured knowledge, exportable and queryable, for the rest of your career.
