Show HN: Knoku – cited AI answers from docs, files, and team knowledge

Knoku launched publicly on August 22, 2026, posting a "Show HN" submission to Hacker News to introduce its AI-powered question-answering tool built around cited responses drawn from documents, files, and team knowledge bases.

The product, per the Hacker News listing, is designed to surface answers from a team's own content — uploaded docs and files alongside shared institutional knowledge — while attaching citations to each answer so users can trace claims back to the underlying source material. The company's site is at knoku.com.

The core pitch targets a persistent friction point in enterprise and team workflows: AI tools that generate answers without surfacing where those answers come from, making it difficult to verify accuracy or audit responses. Knoku's cited-answer model positions it as a knowledge retrieval layer rather than a general-purpose chatbot.

No funding details, founding date, team size, or geographic location were disclosed in the available sources. The Hacker News post was submitted by the account "knoku" and had received one point and no comments at the time of publication.

The cited-AI-over-documents space is active, with products like Glean, Guru, and Notion AI operating in adjacent territory. Knoku's specific emphasis on inline citations at the answer level — rather than simply returning relevant document chunks — is the differentiating claim in the launch, though no third-party evaluations or customer references were included in the announcement. What the company plans next in terms of integrations, pricing, or supported file types was not detailed in the launch post.