The model is only as good as the information it starts from. GitMir gives people, AI and systems trusted Intelligence at the level the question requires — with less reconstruction, less context and less uncertainty.
3,000 credits to start · $29 per active developer / month
Move through the commits to see the business logic change.
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Illustrative business logic. On your repository every analysed commit is laid over the real model the same way. Explore a real product
Same repository. Same questions. Same model. The benchmark changes only what the model knows before it reasons.
BENCHMARK 001 · 50 NATURAL-LANGUAGE QUESTIONS · 3 RUNS EACH · SAME MODEL, BLIND GRADING · SEE FULL METHODOLOGY →
You're looking at Supabase Studio after GitMir read it — 459,339 lines. 2,023 parts of the product are described, among them 409 endpoints and 17 customer paths.
Normally this is where you, or your agent, start searching the repository to rebuild that picture. Here it already exists. Ask this product something, or let me show you what having it changes.
Claude Code, Cursor, Sourcegraph, Augment and the rest of your engineering stack already help people and AI reach the right implementation, dependencies and history. GitMir adds the understanding of how the product works that would otherwise have to be rebuilt for every new task.
For each new task, the relevant product understanding still has to be reconstructed from implementation context.
The product understanding is already there — for this task, the next task and the next person or agent.
Keep your tools. Give them the same understanding of the product.
GitMir turns that shared understanding into reusable Product Intelligence.
Claude Code · Cursor · Codex · Linear · Jira · Sourcegraph · Augment · CodeRabbit
See how GitMir works with your stackGit shows how the code changed. GitMir keeps those changes connected to the product. Across analyzed commits, you can see which product areas, behaviours, screens and customer paths each change reached. Implementation-only commits remain visible without being presented as product changes.
READING THE HISTORY…
MEASURED ON THE PUBLISHED SUPABASE SCOPE — APPS/STUDIO + PACKAGES/PG-META — AT THIS VERSION AND THIS QUESTION WORKLOAD.
Connect one repository. GitMir builds a reusable understanding of how your product works, so your people, AI agents and existing tools can work from the same product picture.
One understanding of your product. Reused by every person, agent and task that needs it.
3,000 STARTING INTELLIGENCE CREDITS INCLUDED
Tell us what you would want to ask, analyze, compare or understand next. We use this feedback to decide what capabilities to build next.
The information usually exists. The expensive part is finding it, reconstructing it, checking it and making it understandable every time it is needed.
Human attention, senior engineering time and AI context are repeatedly spent recovering understanding that already existed somewhere in the company.
The Intelligence Layer stays available, evolves with the source and can be reused by the next person, model, workflow or automated process.
GitMir Cloud Compute, Vibe, GoBots, Market, ICP, Outreach and MeetAI read this Intelligence and add to it. Each joins a project or an idea in one click — nothing is set up twice.
Credits pay for building and updating models and are shared across GitMir products. Asking questions and MCP requests are not metered on any plan.
3,000 credits to start · any number of private repositories
$29 per active developer / month · 3,000 pooled credits each
Private deployment, identity and procurement terms scoped to your company
Connect repositories and GitMir keeps a living model of what the product does. People ask and see it, agents get sufficient context over MCP, and every change shows what it reached.
Any tool that speaks MCP: Claude Code, OpenAI Codex, Cursor, GitHub Copilot and your own agents. Change the model, keep the Intelligence.
Building the model of your private repositories and keeping it current. Asking questions and MCP requests are not metered on any plan.
Free to start with 3,000 credits. Engineering is $29 per active developer per month with 3,000 pooled credits each; viewers and AI agents add no seat.
Yes. Ask the live model of Supabase Studio what a change would reach — no account needed.
Open a finished public Intelligence model, ask the questions you would ask about your own system, then decide whether the difference matters.
