All-in-one backendfor builders

GENCOW removes the barriers between ideas and real services. Connect frontend deployment with Auth · DB · API · RAG · Payments in one flow.

Read docsGo to app
gencow/tasks.ts
1import { createCrud } from "./runtime";
2import { tasks } from "./schema";
3
4export const tasksCrud = createCrud(tasks, {
5prefix: "tasks",
6});
7// → list · get · create · update · remove

AI auto-generates this code

src/App.tsx
const { data: result } =
useQuery(api.tasks.list);

Realtime auto-update

01 — Vibe Coding Prompt

One line is enough for vibe coding

Paste it into Codex, Claude Code, or Cursor, then add the service you want to build. The agent keeps the frontend, Gencow backend, build, and deploy flow aligned to the same source of truth.

prompt.txtdocs.gencow.com
Build the frontend with Vite + React and the backend with Gencow (use docs.gencow.com as the source of truth), then build and deploy it.
Open the docs

  • 01Vite + React frontend
  • 02Gencow backend
  • 03docs.gencow.com source of truth
  • 04build and deploy
02 — Platform

Everything an AI app needs, already on the platform

Not just a backend. AI, background work, media and operations ship as platform features — no extra vendors, keys or servers to wire together.

AI06

  • LLM

    Call OpenAI models by model ID. Provider keys stay in the platform proxy.

  • Image generation

    Generate images from the same ai.* API.

  • STT

    Speech-to-text from private storage, with timestamps and speaker labels.

  • TTS

    Text-to-speech with direct synthesis or async jobs.

  • OCR

    Extract text from images, and convert PDF, HWPX, DOCX and XLSX to Markdown.

  • Rerank

    Rerank search results with Cohere Rerank on Azure.

Backend04

  • Workflow

    Durable multi-step runs with checkpoints, approvals and resume.

  • Queue

    Workflow queue for background runs, managed by the platform.

  • Cron

    Interval, daily, weekly and cron-expression schedules.

  • Realtime

    Queries update the UI automatically when data changes.

Operations04

  • Image auto-scaling

    Automatic WebP conversion and downscaling for stored images.

  • Backup

    Manual and automatic database backups.

  • Analytics

    Privacy-friendly traffic analytics, injected automatically on hosted apps.

  • Web builder

    Describe an app in a prompt and build and deploy it with Gencow.

14AI services share one Gencow credit balance. Plan limits apply — see Pricing.

03 — Audience

Anyone, anywhere, can build AI services

Choose the starting point that fits you.

04 — Brand Story

The world gets better through small improvements

Gencow calls anyone who finds a problem and builds a solution a builder.

A world where anyone can be a builder.

Prompt to Production

The world is not changed only by giant innovations. A tool that solves one person's frustration, a service that removes repetitive work for a team, or a small idea launched for the first time can create meaningful change.

AI has opened an era where more people can build. But turning an idea into a real service still comes with backend, auth, data, and deployment barriers.

Gencow removes those barriers and builds the infrastructure and ecosystem for anyone to create with AI, launch to the world, and improve with users.

01

Start small

Build the first working version before chasing a perfect plan.

02

Launch it

Move beyond the idea and let real users meet the service.

03

Keep improving

Learn from user reactions and grow the product over time.

05 — Why Gencow?

Why Gencow?

An engine purpose-built to create AI app frontends and backends together.

01

One-Key AI — One Key, OpenAI Models

Call OpenAI models through one Gencow API key, with provider credentials managed by the platform.

await ai.chat({
  model: "llm/economy", // or another OpenAI model
  messages: [...]
});
02

Enterprise PostgreSQL

Run locally on PGlite with no Docker; cloud and production run on PostgreSQL + pgvector.

// Local: PGlite (in-memory)
// Production: PostgreSQL + pgvector
// Switch? Automatic.
03

Security Built-In

Process isolation per app, a separate database per app, and RLS presets like ownerRls() — secure defaults, not guarantees.

// createCrud() → auth required by default
// ownerRls(t.userId) → owner-only rows
// gencow env set → per-app environment variables
06 — Compare

How we compare to the competition

The all-in-one platform for building AI app screens and backend components together.

FeatureSupabaseConvexFirebaseGencow
Built-in AI Engine
RAG Pipeline
100% TypeScript
Local Dev (No Docker)
Unified AI Billing
See full feature comparison

You build the agent's value,
Gencow handles all the infrastructure

Start at gencow.app and use docs.gencow.com as the source of truth for the full build flow.

docs.gencow.comGo to app