This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
TraceDocs
Jev finds the evidence. Your agent writes the answer.
TraceDocs lets Jev judge structured document blocks before an agent answers. Inspect cited evidence, source locations and a JSON trace. Small sources are evaluated in full; large ones use Jev-led section previews. Free beta: 10 evaluations per IP daily.
I built TraceDocs because I wanted an agent to know which part of a document actually supports its answer. In a conventional retrieval pipeline, the right passage can disappear before the evidence judge sees it. Jev interested me as a structured decision layer: it scores document blocks so explicit rules can assemble a traceable evidence set. The current beta evaluates every block for small documents. For larger ones, Jev reviews structural previews and decides which groups receive full evaluation. A preview can miss a relevant detail, so we report incomplete coverage. The web app exposes evidence and its source; a connected LLM writes the answer. During Hypership Day, I would value specific feedback on PDFs, evidence inspection, abstention and the MCP/API contract. I will share what actually changes in response.
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About TraceDocs on Product Hunt
“Jev finds the evidence. Your agent writes the answer.”
TraceDocs was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #153 on the daily leaderboard. TraceDocs lets Jev judge structured document blocks before an agent answers. Inspect cited evidence, source locations and a JSON trace. Small sources are evaluated in full; large ones use Jev-led section previews. Free beta: 10 evaluations per IP daily.
TraceDocs was featured in API (98.7k followers), Developer Tools (520.4k followers) and Artificial Intelligence (479.9k followers) on Product Hunt. Together, these topics include over 222.7k products, making this a competitive space to launch in.
Who hunted TraceDocs?
TraceDocs was hunted by ASM - Miltohik!. 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.
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ASM - Miltohik!