Sezwhere
Ask any document "where does it say that?" (built on Jev)
Details
- External ID
- 49894301
- Source
- HN
- Company
- —
- Product
- Sezwhere
- Website domain
- sezwhere.com
- Launched
- Sept. 29, 2026
- Cohort
- —
- Upvotes
- 19
- Upvotes percentile
- 0.7344497607655502
- Tags
- —
- Fetched at
- Oct. 1, 2026, 1:01 a.m.
- Updated at
- Oct. 1, 2026, 1:01 a.m.
Enrichment
- Theme
- local AI inference and runtimes
- Vertical
- Horizontal
- Function
- Search & retrieval
- Audience
- Prosumer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- source citation and document search for readers
- Manually corrected
- False
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 — 108 launches clear the similarity bar, closest 8 shown.
Attention rank: #51 of 109 (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 0.51
- 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 0.44
- Clue Me · hn · 2026-09-24 · 5 upvotes · similarity 0.44
- jevify · github · 2026-09-19 · 177 upvotes · similarity 0.44
- jev · github · 2026-09-17 · 26 upvotes · similarity 0.43
- jev-lint · github · 2026-09-19 · 76 upvotes · similarity 0.43
Other launches for this product
- No other launches for this product.