Sezwhere
Ask any document "where does it say that?" (built on Jev)
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HN · launched Sep 29, 2026 · 19 upvotes (top 27%) · 0 views
Niche: semantic search and rag tools · 93 launches, 0 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Search & retrieval
- B2B
- AI-native
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 93 launches in semantic search and rag tools →
Could you build this?
Yes It is a standard document QA application that parses uploaded files (PDF, docx), generates vector embeddings, and retrieves matching passages with citation highlights via an LLM.
Discussion
1 comment analyzed.
Competitors
Other products that read as similar to this one : 155 launches clear the similarity bar, closest 8 shown.
Attention rank: #63 of 156 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 333 days after the earliest competitor.
- jevyoumean · github · 2026-09-21 · 16 upvotes · similarity 0.52
- jev-doc-search · github · 2026-09-30 · 93 upvotes · similarity 0.49
- jgrep · github · 2026-09-19 · 21 upvotes · similarity 0.48
- jev-to-answer · github · 2026-09-21 · 17 upvotes · similarity 0.47
- jegrep · github · 2026-09-19 · 86 upvotes · similarity 0.46
- Clue Me · hn · 2026-09-24 · 5 upvotes · similarity 0.45
- jev · github · 2026-09-17 · 26 upvotes · similarity 0.44
- jevify · github · 2026-09-19 · 177 upvotes · similarity 0.44
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.