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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Nyambot
Official French public data, inside your AI assistant
Nyambot is the MCP connector that gives Claude, ChatGPT, Le Chat, Copilot and Gemini direct access to official French public databases: real estate prices actually recorded at the land registry (DVF), the company registry, the legal code, health providers, job listings, benefits and administrative procedures. Not estimates — the date, the amount, the source. Every figure is re-verifiable. Connect in 60 seconds, or self-host from PyPI.
Hi Product Hunt 👋
I'm Gabriel, solo builder from France.
What started this. I kept watching people ask ChatGPT what an apartment was worth in a French town, and get a confident, invented number. Not because the data doesn't exist — France publishes every property sale recorded at the notary, the full company registry, the entire legal code. It's all open. It's just unusable without a week of plumbing per source.
The problem. Open doesn't mean usable. Every source has its own API, its own format, its own identifiers, its own traps. Wiring three of them into an agent is a week of work, and maintaining them is forever. So almost nobody does it, and assistants keep guessing about France.
What Nyambot is. One MCP connector, 21 tools. You paste a URL into Claude, ChatGPT, Cursor, Le Chat or Copilot, and your assistant answers with the actual figure, dated, with a link back to the official source.
How my thinking changed. I started out building retrieval — find the right document, hand it to the model. That was wrong. The questions people actually ask can't be retrieved. "What's this 24 m² flat worth?" has no answer written anywhere. You have to pull every sale signed within 200 metres, filter by comparable surface and period, and compute a median. The answer doesn't exist until someone asks it. That moved the whole project from search to computation.
The moment that taught me the most. Last week my own tool flagged a bug in itself, in the middle of an answer. French land registry files list one row per lot, not per sale, and the total price is repeated on every lot. Without grouping, a median for studios came out at €6,251/m² instead of €2,330 — and filtering by surface made it worse, not better, because it selects exactly the small lots of bulk building sales. That bias is quietly sitting in a lot of tools built on this dataset. I found it, measured it (10.6% of sales aren't attributable), fixed it, shipped it.
That's the actual work. Not accessing open data — understanding it well enough to be trusted with it.
Free to connect, no credit card. Self-host from PyPI if you'd rather keep it in-house.
Tell me what breaks. I'm answering all day.
About Nyambot on Product Hunt
“Official French public data, inside your AI assistant”
Nyambot was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. Nyambot is the MCP connector that gives Claude, ChatGPT, Le Chat, Copilot and Gemini direct access to official French public databases: real estate prices actually recorded at the land registry (DVF), the company registry, the legal code, health providers, job listings, benefits and administrative procedures. Not estimates — the date, the amount, the source. Every figure is re-verifiable. Connect in 60 seconds, or self-host from PyPI.
On the analytics side, Nyambot competes within Artificial Intelligence, Data & Analytics and Data — topics that collectively have 487.4k followers on Product Hunt. The dashboard above tracks how Nyambot performed against the three products that launched closest to it on the same day.
Who hunted Nyambot?
Nyambot was hunted by Gabriel Mbenda. 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 Nyambot including community comment highlights and product details, visit the product overview.
Gabriel Mbenda