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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.
Love the idea of tagging knowledge by type: confirmed decision vs inferred pattern vs outdated fact!
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.
On the analytics side, Nerra competes within Productivity, SaaS and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Nerra performed against the three products that launched closest to it on the same day.
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.
For a complete overview of Nerra including community comment highlights and product details, visit the product overview.
Emil Azizov
Love the idea of tagging knowledge by type: confirmed decision vs inferred pattern vs outdated fact!