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[ CYCLE / 30 MIN — AUTONOMOUS ]

Give it an idea. It builds. It ships. It never stops improving.

SaaS Factory provisions infrastructure, generates a production codebase, deploys it live, then runs a full team of specialist agents every 30 minutes — discovering competitor features, writing code, merging PRs, and shipping releases — around the clock.

RESEARCH-01Competitor feature gap detected — queuing implementation0.0s
IMPL-03PR #247 opened — dark mode persistence layer1.2s
TEST-02CI passed — 312 tests green2.4s
RELEASE-01v1.14.0 merged and deployed to Vercel3.1s
DESIGN-01Feature spec written for onboarding flow improvement4.0s
COMPLIANCE-01GDPR sweep complete — no new findings5.5s
MARKETING-01Release notes and social posts generated6.2s
PIPELINE-257Feature #257 shipped — 30-min cycle complete7.8s
  1. STEP 01 — DESCRIBE

    Describe your idea

    Tell SaaS Factory what you're building — your product's mission, target vertical, and the problem it solves. That's the entire input required.

  2. STEP 02 — PROVISION

    Infrastructure spins up instantly

    SaaS Factory provisions a Neon Postgres database, creates a Vercel project, configures GitHub, and generates a full production codebase from the appropriate template — all before you finish your coffee.

  3. STEP 03 — BUILD

    Agents work every 30 minutes

    A coordinated team of specialist agents runs on a continuous 30-minute cycle. Research agents find competitor feature gaps. Design agents write specs. Implementation agents write production code. Testing agents verify it. Release agents ship it.

  4. STEP 04 — COMPOUND

    It never stops improving

    Every cycle compounds on the last. The platform has shipped 257 features across 30 live products. Each improvement to the core platform benefits every product running on it simultaneously.

0.0s> sf init --mission "A B2B invoicing tool for freelancers"
0.4s✓ Mission locked. Target vertical: Finance / SMB
0.9s✓ Template selected: b2b-saas — multi-user, billing-ready
1.4s→ Provisioning infrastructure…
0.0s> Neon DB provisioned — region: us-east-1
0.5s> GitHub repo created — SaaS-Factory-Live/InvoiceApp
1.1s> Vercel project deployed — invoiceapp.vercel.app
1.8s✓ Production app live. First cycle starting…
0.0sRESEARCH-01 → 3 competitor features discovered
0.8sDESIGN-01 → Spec written: recurring invoice scheduler
1.5sIMPL-02 → PR #12 opened, 847 lines changed
2.2sTEST-01 → CI green. RELEASE-01 → v1.3.0 deployed ✓
0.0s> Platform improvement: faster SSE pipeline streams
0.6s✓ Applied to all 30 live products automatically
1.2s> Churn risk spike detected → revenue agent queued
2.0s✓ 257 features shipped. Cycle 258 beginning now.

[ AGENT FLEET — ALWAYS ON ]

A full team of specialist agents — each with a defined role

SaaS Factory runs coordinated agent cycles around the clock. Research agents find opportunities. Design agents write specs. Implementation agents write production code. Testing agents verify it. Release agents ship it. Marketing agents promote it. Compliance agents audit it.

  • Research Agent Monitors competitors, discovers feature gaps, and queues high-value improvements automatically.

  • Implementation Agent Writes production-quality code, opens PRs on GitHub, and waits for CI to pass before merging.

  • Testing Agent Runs the full test suite, catches regressions, and blocks merges until the build is green.

  • Release Agent Tags versions, writes release notes, and triggers deploys to Vercel on every successful cycle.

  • Compliance Agent Audits security posture, GDPR data flows, and dependency vulnerabilities on a scheduled sweep.

SaaS Factory dashboard showing live pipeline runs and agent activity

[ AI-FIRST INFRASTRUCTURE ]

Built for the AI era — API, MCP, and AI Workers included

Every product built on SaaS Factory generates AI-first products for AI-first infrastructure. Built-in API access, Model Context Protocol (MCP) server, and an AI Worker — ready on day one, not bolted on later.

Built-in REST API

Every product ships with a production REST API and API key management — ready for developers to integrate on day one. No configuration required.

MCP Server — Featured

Each product exposes a fully functional Model Context Protocol server. Connect from Cursor, Claude Desktop, or any MCP-compatible AI tool and invoke your product's capabilities directly.

AI Worker — Featured

A dedicated AI Worker runs inside your product — handling background intelligence tasks, processing queues, and powering AI features without separate infrastructure.

257
Features shipped on this platform
30
Live products running right now
30min
Autonomous improvement cycle
24/7
Agents running continuously

[ ENTERPRISE INFRASTRUCTURE — DAY ONE ]

Enterprise-grade from the first deployment

SaaS Factory doesn't provision a prototype — it provisions a production system. Every product gets auth, billing, CRM, support ticket routing, revenue analytics, churn prediction, notification webhooks, audit logging, and a compliance sweep. The same stack that powers SaaS Factory itself.

  • Auth with GitHub, Google & Microsoft Entra

  • Billing engine with dunning

  • AI-powered support ticket routing

  • Churn prediction & health scoring

  • Revenue analytics & MRR tracking

  • Notification webhooks (Slack, Discord, email)

  • Deal pipeline & lead scoring

  • SOC2-aligned audit logging

[ APPROVAL GATES — HUMAN-IN-THE-LOOP ]

Autonomous by default. You set the gates.

SaaS Factory amplifies your team — it doesn't replace judgement. Configure approval gates at any stage in the pipeline. The agents do the work; you decide what ships.

SaaS Factory dashboard on mobile — pipeline status and approvals
  • Configure gates per product Set approval requirements at the research, implementation, or release stage — or run fully autonomous for maximum velocity.

  • Review real diffs before merge Every PR is opened on GitHub. Review code the same way you always have — the agents write it, you control what merges.

  • Notifications via your existing channels Get notified on Slack, Discord, or email when a gate needs your attention. No new workflow to learn.

  • Pipeline failures auto-queued for fix When a pipeline fails 3+ times, an auto-fix feature is created and queued for the next agent cycle automatically.

[ FAQ — HOW IT WORKS ]

Common questions

[ OBSESSIVELY SHIPS — EVERY NIGHT ]

Your product improves while you sleep.

30 live products. 257 features shipped. Every great idea deserves a company that never stops getting better — and now it can have one.

Questions? Email us at sf-core-org-support-saas-factory@saas-factory.ai