The Absorber. Highlight, capture, merge. Your browser becomes part of the graph.
You read 100 articles a week — research papers, blog posts, GitHub issues, Stack Overflow answers. Five percent of it is gold. The other 95% is noise.
Browser bookmarks are a graveyard. Notion clippings rot. Email-to-self never gets re-read. There has been no native way to absorb the gold into your living graph — until now.
A floating teal pill appears. Click it. The selection is queued for ingest with full context: page URL, page title, surrounding paragraph, your current Topic + Subtopic.
Capture the entire article via Reader-mode extraction (Mozilla Readability). The whole thing lands in your graph, chunked, embedded, and tagged automatically.
"What did I save about this topic?" LAYA queries SUMA, surfaces the relevant nodes from past reading, inline. Your past research, when you need it.
arXiv abstracts, PDF excerpts, citation chains — absorbed into a working memory you can query semantically across hundreds of sources.
Stack Overflow answers, GitHub issue threads, RFC fragments — captured under a ticket's Topic + Subtopic, ready when YUVA opens that file.
Bug reports, error logs, repro steps captured straight from the page — pre-tagged to a ticket. Pair with AYRA for screenshots.
Competitor pricing, market research, customer interview excerpts — absorb directly into the same graph KUVI uses to generate tickets.
LAYA writes to the same /api/ingest endpoint as YUVA, MIRA, AYRA, and DIYA. Every captured snippet is stamped with the active topic and subtopic from KUVI. The graph doesn't care where the memory came from — it cares that everything stays linked.
LAYA Chrome extension ships post-YC. Join the waitlist via /pricing.