CLUSTER ANSWERS-ASK-DOCUMENTS-2 · 25 ENTRIES · EARLIEST ENTRY 2026-08-17
Document Q&A with citations
The cluster consists of web applications for uploading documents and asking natural-language questions, with cited answers from a personal knowledge base. The cluster's dated history is too thin to read a shape from—it predates the index or its members are undated. Traction leaders, based on activity signal, are personal-kb-qa, knowledge-base-qa-webapp, and Chrono-AI, though all show zero stars.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 1 hand-coded · 4 unlabelled
Operator · 5 hobby
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 21paper-brain0★1 mo—hobbySaaS platform for uploading documents, generating summaries in multiple styles, asking questions with source references, and performing semantic search across files.
- 22airag-nextjs0★1 mo—hobbySelf-hosted application that turns a code repository or documentation base into a conversational assistant able to answer with citations.
- 23rag-document-assistant1★1 molivehobbyWeb app that lets users upload documents and ask natural-language questions, retrieving relevant passages and generating cited answers with streaming responses.
- 24Rag-app0★1 mo—hand-codedhobbyWeb app that lets users upload documents and ask context-aware questions, retrieving relevant passages and generating answers with a language model.
- 25Biomedical-Literature-Assistant0★1 molivehobbyWeb app that answers natural-language questions about melanoma research and user-uploaded scientific articles, returning evidence-backed answers with citations.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.