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Converge

Converge

AI vibe coding platform built on Convex

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Converge is a full-stack AI app builder built on Convex (not Supabase). Our agent builds better apps because with Convex, the entire backend is expressed as code. No separate SQL layer, migrations, or dashboards. Schema, auth, and background jobs are all generated and versioned in TypeScript. Also: -Batteries included: database, auth, file uploads, background workflows + scheduled tasks -Pre-built components: AI Agent, RAG, Payments (Stripe), Email (Resend), Web scraping (Firecrawl) + more
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Converge gallery image
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Launch tags:Software Engineering•Artificial Intelligence•Vibe coding
Launch Team / Built With
Flowstep
Flowstep
Generate real UI in seconds
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What do you think? …

Dan Cleary
Maker
📌
Hey Product Hunt 👋 Dan here, co-founder of Converge. @dalton_pierce and I built Converge after noticing that existing vibe-coding tools all hit the same wall. They feel great at first, but break down quickly once AI starts touching the backend. The issue is architecture. Most platforms use Supabase-style backends where logic is split across SQL, migrations, RLS policies, and dashboards. That works when humans write code, but it is brittle when the dev is an LLM. The result is broken auth, out-of-sync database tables, and infinite prompt-debugging loops. Our approach flips that constraint. Every app built in Converge gets a Convex backend where the entire backend including schema, permissions, business logic, real-time data, and background jobs is expressed as TypeScript (A language AI knows well). That lets the AI safely read, generate, and extend backend code just like frontend code. In practice, less time fighting bugs, more time building, and better behavior as apps scale. Happy to answer questions or go deeper on Convex vs Supabase.
Arianna Luna

why did you choose convex for the backend?

Dan Cleary
Maker

@arianna_luna1  thanks for the q!
Main reasons:
1. Typescript from backend to frontend (one language that AI knows well)
2. Everything is managed in code (database schema, app state, auth, etc), makes it easy for the agent to keep everything in context

Dalton Pierce
Maker

@arianna_luna1 Here's my long-winded CTO answer also

With Convex, everything (your database schema, queries, and backend logic) is written in TypeScript files that live in the same codebase as your frontend. AI models have been trained on massive amounts of TypeScript, so they generate accurate, reliable code consistently. This means fewer bugs and faster iterations when building your app.

Most other vibe coding platforms use Supabase, which is built on PostgreSQL. The challenge is that SQL databases define data in a completely different language and location than your app code. Agents have to context-switch between TypeScript and SQL, manage migration files, and reason about security policies written in declarative syntax. In practice, AI agents regularly get stuck on these things because they live outside the normal procedural codebase.

Convex ran Fullstack-Bench comparing AI agent performance across backends. For a chat app task, Convex completed in 3 1/2 minutes with zero human interventions. The same task on Supabase took 30 minutes with 16 interventions. The AI could solve authorization rules in one shot on Convex because they're just TypeScript functions; no SQL to debug.

Convex is also reactive by default. Your UI automatically updates when data changes; no WebSockets to configure, no cache invalidation to manage, no state sync bugs. Convex removes an entire class of problems that AI agents typically struggle with.

TLDR;

  • Everything is TypeScript → AI models generate better code with fewer hallucinations

  • Schema, queries, and logic live in one place → agents understand your data without context-switching

  • No SQL or migrations → one language, end-to-end type safety

  • Reactive out-of-the-box → UI stays in sync automatically, no extra code needed

  • API endpoints are just Convex functions → Easy to write and consume APIs with automatic caching and atomic transactions