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doc-forager

从一堆材料里挑出相关内容,并且能证明自己没漏 —— 本地优先的可解释提取与覆盖率自检工具(单文件零依赖)

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This is 1 of 89 launches in academic writing and research tools — see how it stacks up on momentum and crowding →

70 other launches read as similar to this one →

Details

External ID
1408466504
Source
GITHUB
Company
—
Product
doc-forager
Website domain
github.com
Launched
Oct. 7, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.14
Tags
audit, canvas, chinese-nlp, coverage, data-extraction, document-parsing, docx, explainable-ai, keyword-extraction, local-first, no-build, single-file, visualization, zero-dependency

Enrichment

Niche
academic writing and research tools
Vertical
Horizontal
Function
Search & retrieval
Audience
Prosumer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
document extraction and coverage verification tool for researchers
Manually corrected
False

Could you build this?

Yes It is a single-file, zero-dependency local text extraction and test-coverage auditing script that parses documents and verifies matched terms, well within vibe-coding capabilities.

Competitors

Other products that read as similar to this one — 70 launches clear the similarity bar, closest 8 shown.

Attention rank: #66 of 71 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 334 days after the earliest competitor.

Other launches for this product