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EvidenceGrid
Verifiable literature review matrices from research PDFs
EvidenceGrid turns selected research PDFs into an auditable literature review matrix. Define custom extraction fields, verify every claim against an exact quote and page, repair uncertain cells without rerunning the whole workspace, and generate reviewable cross-paper themes, agreements, disagreements, limitations, and gaps. Export reviewed evidence to PDF, Word, Excel, Obsidian, Zotero, or Notion.
Hi Product Hunt, I built EvidenceGrid after seeing researchers repeatedly move findings between PDFs, spreadsheets, Zotero, Word, Notion, and Obsidian while losing the trail back to the source. EvidenceGrid starts after you have selected your papers. You define the research question and extraction fields, upload PDFs, and receive a comparable matrix where every substantive cell retains its exact quote, page, match status, and highlighted source view. Uncertain fields can be reviewed or re-extracted individually. Verified cells then feed a structured synthesis of themes, agreements, disagreements, limitations, and gaps. The goal is simple: make literature review work faster while keeping every claim inspectable. I would love feedback on the verification workflow and the exports you rely on most.
About EvidenceGrid on Product Hunt
“Verifiable literature review matrices from research PDFs”
EvidenceGrid was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #85 on the daily leaderboard. EvidenceGrid turns selected research PDFs into an auditable literature review matrix. Define custom extraction fields, verify every claim against an exact quote and page, repair uncertain cells without rerunning the whole workspace, and generate reviewable cross-paper themes, agreements, disagreements, limitations, and gaps. Export reviewed evidence to PDF, Word, Excel, Obsidian, Zotero, or Notion.
On the analytics side, EvidenceGrid competes within Productivity, Education and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how EvidenceGrid performed against the three products that launched closest to it on the same day.
Who hunted EvidenceGrid?
EvidenceGrid was hunted by Ray Y. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of EvidenceGrid including community comment highlights and product details, visit the product overview.
Ray Y