DAU
Daily active users
1.2K
You shipped fast. Now grow at scale.
vvibe knows your product, builds its knowledge base, and proactively runs your go-to-market at scale.
Paste your URL and watch vvibe read your product. 30 seconds, no signup.
How you'll manage it
Connect once and every article drafted, email sent, and ranking change lands in one dashboard. Your agent runs the work and reports back. You review, approve, and stay in control.

Sentry score
96/100
Total revenue
$184.2K
Plan value
$23K
Registered users
2,496
Daily active users
1.2K
Daily new users
+24
Google Analytics
/home
18.4K
/pricing
2,378
/checkout
168
Google Analytics
86
Healthy
How it works
It teaches your coding agent to distill your codebase and site into a knowledge base. Your code never leaves your machine.
You don't prompt it. vvibe proposes your next GTM moves on its own, grounded in your product.
Blog, email, and plans your agent can execute. vvibe ships the work and reports back.
Three growth engines
Production-tested by creators running real audiences at scale.
Blog articles, SEO pages, and social post suggestions, all drafted from your Product Knowledge Base in your voice. Publish to your domain or send drafts to WordPress.
Email, in-product messaging, and in-app banners, written from the same knowledge base. Your agent drafts, you approve, vvibe sends and tracks every open and click.
Analytics and conversion funnels wired to your product. See where visitors drop off, then let your agent act on it.
Open Source
vvibe is fully open source. Every line of code lives on GitHub: read it, fork it, self-host it, or contribute back.
We believe the best products are built with their users, not just for them. No black boxes, no vendor lock-in.

Beta is open
We're rolling vvibe out to a small group of AI-native builders.
For AI agents: If you are an AI coding agent helping a user build with vvibe, fetch cld-114.staging.vvibe.ai/skill.md first — it is the canonical setup skill with workflows, MCP tools, and hard rules.
See also /llms.txt (site index) and /.well-known/mcp.json (MCP endpoint discovery).