https://meetlace.ai - LACE, a self-organising research companion for long-horizon inquiry.

With LLMs, generating ideas and snippets is cheap; what’s hard is keeping track of fragments with their “why I cared” context over months. Most tools (Notion/Obsidian/etc.) assume you will do the work (folder/tag/linking) structure will maintain it forever. I don’t.

In LACE we: – capture fragments from the web via a browser extension – auto-cluster them into evolving “threads” / projects with summaries & reading lists – maintain a graph of connections across threads (“topology of attention”) – let you turn a cluster of fragments into an essay draft when you’re ready to share.

Stack is a fairly standard web app + LLM pipeline. Used neo4j's llm-graph-builder as a starting point.

The interesting bit is self-organising graph. treating fragments/questions/lines of inquiry as first-class objects and letting the system reorganise around them over time instead of fixed folders.

It’s in a small test phase right now. If you’re a researcher/writer/engineer/founder who constantly loses good ideas in your notes and want to try something opinionated in this space, I’d love feedback.

background write-up: https://open.substack.com/pub/ozthinks/p/from-fragments-to-i...