LaunchLoop

Inspiration

Launching a startup today still feels way too manual.

Founders spend days stitching together landing pages, analytics, A/B testing tools, and growth experiments — and then manually checking dashboards, writing copy, and guessing what to change next. Meanwhile, AI can already write code, design pages, analyze data, and reason about business decisions — but those capabilities are rarely connected into a real autonomous system.

We wanted to build something different:

An agent that doesn’t just advise founders — it actually runs growth for them.

LaunchLoop was inspired by the idea of a fully autonomous growth loop:

Idea → Launch → Measure → Diagnose → Experiment → Improve → Repeat without humans babysitting dashboards or shipping copy by hand.

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What it does

LaunchLoop is an autonomous growth agent for early-stage startups.

A founder enters a product idea, and LaunchLoop: 1. Generates and deploys a real landing page 2. Instruments analytics and lead capture 3. Monitors real (or simulated) traffic 4. Diagnoses performance issues 5. Designs and launches A/B tests 6. Promotes winning variants automatically 7. Sends dynamic founder updates

All of this runs continuously, without manual prompting.

In practice: • LaunchLoop creates a brand-new GitHub repo • Builds a production-ready landing page • Deploys it to Vercel • Tracks performance in PostHog • Runs headline + hero A/B tests • Ships improvements using a headless coding agent • Monitors performance on a schedule • Responds automatically to real-world changes

Founders operate LaunchLoop through a Retool app that acts as the control center for their autonomous growth agent.

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How we built it

LaunchLoop is built as a real agentic system with production infrastructure:

Core architecture • Retool – The product UI and operational control plane • Retool Agents – A decision-making growth agent • Yutori Scouting API – Autonomous monitoring and scheduling engine • PostHog – Analytics, experiments, and trigger workflows • Fly.io – Persistent agent runtime • Cline (headless) – Autonomous coding agent for building and updating landing pages • Vercel – Production deployment • GitHub – Repo creation and version control • Freepik API – AI-generated hero images and creative assets • Tonic Fabricate – Synthetic traffic and lead generation for demo realism • Resend – Founder notifications

Agent loop

Yutori → Measure → Diagnose → Retool Agent decision → Cline builds → Deploy → PostHog → Repeat

Key innovations • A persistent Cline worker runs as a long-lived agent that can modify production code • Retool Agents act as a growth decision layer • PostHog workflows trigger autonomous interventions • Tonic generates realistic traffic and anomalies for demo and testing • Everything is observable via a live activity feed

This isn’t a chatbot — it’s a real autonomous system operating real infrastructure.

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Challenges we ran into • setting up all the integrations was a challenge • first time using many of the tools so that was a learning curve as well ⸻

Accomplishments that we’re proud of • Built a fully autonomous growth loop that ships production code • Created a persistent coding agent that runs continuously • Deployed real landing pages on real infrastructure • Implemented automatic A/B testing and promotion • Integrated Retool Agents as a real decision layer • Built a full SaaS-style product UI in Retool • Demonstrated autonomy with scheduled monitoring via Yutori • Simulated realistic growth scenarios with Tonic

Most importantly: LaunchLoop feels like a real product, not a demo.

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What we learned • Agentic systems become dramatically more powerful when connected to real infrastructure. • Autonomy is about orchestration, not just reasoning. • Long-running agents need observability and control planes. • Synthetic data is critical for testing and demoing autonomous systems. • Tools like Retool dramatically accelerate turning agent systems into real products.

We also learned that building agent systems feels much more like building distributed systems than building apps.

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What’s next for LaunchLoop • Multi-page site support • Paid ads and traffic acquisition automation • CRM and sales pipeline integration • Email and lifecycle marketing agents • Multi-agent growth teams (SEO agent, Ads agent, Content agent) • Human-in-the-loop approval workflows • Custom domain support • Enterprise security and audit controls

Our long-term vision is simple:

LaunchLoop becomes the first truly autonomous growth team.

Built With

• anthropic-(haiku/opus)
• fly.io-worker-(sqlite)
• freepik-api
• github-api
• next.js-(template-seed)
• node.js-+-typescript
• pnpm-workspaces
• posthog
• resend
• retool
• tonic-fabricate
• vercel-serverless-api
• yutori-scouting-api