PageStash: Capture, Structure, Retrieve
Feb 2026
The web is a vast knowledge base, but we interact with it like a filing cabinet. PageStash turns it into a queryable layer: capture, structure, retrieve. It's the research companion to ThreatBase — same infrastructure thesis, different use case.
Problem
Researchers, analysts, and knowledge workers collect links, screenshots, and snippets. They live in bookmarks, folders, and note apps. When you need to find something — a statistic, a quote, a precedent — you dig. There's no structure, no search across the corpus, no retrieval when it matters. You know you saved it somewhere. You don't know where.
The web is the largest knowledge base we have. We treat it like a pile. Every research project starts from scratch. There's no compounding — no way for yesterday's browsing to feed tomorrow's work.
Approach
Capture the web as you browse. Structure it with metadata, tags, and extracted entities. Index for retrieval — full-text, semantic, or hybrid. The pipeline: capture → structure → retrieval. Your research becomes a knowledge base you can query instead of a pile you can only scroll.
The insight: the friction is in the capture, not the retrieval. Make capture effortless — one click, automatic metadata — and the rest follows. Structure enables retrieval. Retrieval enables compounding.
Outcome
Faster research. Better recall. Knowledge that compounds instead of scattering. The same pattern that powers internal wikis and document systems — applied to the open web. For intelligence work, competitive research, or just staying on top of a domain, structure beats accumulation. And it's another piece of the agentic infrastructure stack: when your knowledge is structured, agents can query it.