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).
Nerra
One company context engine. Every team. Every AI agent.
Nerra auto-builds a living context layer from the tools you already use and serves it to Claude, ChatGPT, Cursor and your own agents via an MCP. Agents write back with sources and approval.
Every AI tool starts from zero and keeps its own private memory. Claude nails a plan in one chat, an agent ships work in another, the real decision lands in Slack, sales notes sit in Granola… and next week every AI starts from zero again.
What’s missing is shared company context they can both read and write.
I ran into this inside my previous company, built an internal tool for it, and after I sold that company I started building Nerra properly.
Nerra is a company context engine. Connect the tools you already work in, it builds a living context layer and keeps it current, and every agent reads the same thing - Claude, ChatGPT, Cursor, your own. Anyone can write results back, with provenance, so the company compounds.
🔥 The knowledge shows not just where it came from, but what kind of thing it is:
a decision someone confirmed,
a pattern we inferred,
one person's working style,
or a fact that used to be true and got superseded - and by what, and when.
Agents can write back too (for example the results of the work they have done), with a source and a human approval.
Built for founders and CTOs running AI-native teams.
We don’t train on your tenant data. Cloud or self-host.
I'm genuinely curious, where does your context get stuck today? ✨🚀
— Emil
About Nerra on Product Hunt
“One company context engine. Every team. Every AI agent.”
Nerra was submitted on Product Hunt and earned 3 upvotes and 2 comments, placing #44 on the daily leaderboard. Nerra auto-builds a living context layer from the tools you already use and serves it to Claude, ChatGPT, Cursor and your own agents via an MCP. Agents write back with sources and approval.
Nerra was featured in Productivity (661.2k followers), SaaS (44.3k followers) and Artificial Intelligence (479.1k followers) on Product Hunt. Together, these topics include over 341.6k products, making this a competitive space to launch in.
Who hunted Nerra?
Nerra was hunted by Emil Azizov. 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.
Want to see how Nerra stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Emil Azizov
Love the idea of tagging knowledge by type: confirmed decision vs inferred pattern vs outdated fact!