ondocs

Quiet signal

Open-source Ask AI for your docs, with an MCP server

Launched 16d ago

Signal

Velocity

What this means

20%Vote pace is below typical for AI Agents.

Running at 20% of comparable launches.

13Founder Conviction Index: 13 — low signal.

Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

3 launchesSerial maker — this is their 3rd launch.

Best prior: signoff-ui, attention 5.

Prediction

Top-5 finish probability

today

Projected end-of-day votes

3range 2–4

Trajectory

stable

Vote pace holding steady.

Speed vs peers

0.2×

160 AI Agents launches

About

ondocs adds an Ask AI box to your docs: visitors get a short answer from your pages with citations to the exact section, or "I don't know" when the docs don't cover it, on your own model key. Coding agents get an MCP server (search, fetch, list_pages) and llms.txt from the same index. Plugins for Starlight, Docusaurus and VitePress, guides for Next.js, Fumadocs and Nextra, or one script tag. No vendor, no vector database. MIT licensed.

AI Summary

ondocs is an open-source tool that integrates an AI-powered Q&A feature into documentation, providing users with concise answers and citations from the content. It supports various frameworks and offers a self-hosted MCP server for developers, all under the MIT license.

Attention & discussion velocity

Performance

Velocity0

Vote pace vs average

Momentum0

Sustained over 6h

Virality0

Spread × engagement

Engagement—

not measured

Signal sources

2 of 6 active

Launch tracking6 readings since we picked it up
AI analysisAI Agents
Comment intelligencethread not yet analysed
Outside discussionnot checked — domain is a storefront or shared
Revenue signalsno match on this domain
Editorial scoringbelow the signal threshold for this pass

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.