Inspiration
Seeing countless founders struggle with fragmented ecommerce platforms—spending hours on templates, apps, and manual A/B testing—inspired Runner AI. I wanted to create something truly autonomous: AI that not only builds stores instantly but continuously improves them 24/7, eliminating the "$400+/month app tax" while delivering real conversion gains.
What it does
Runner AI turns simple chat prompts into production-ready ecommerce stores with custom designs, AI-generated product visuals/descriptions, inventory, and checkout. Runner Lab then runs autonomous A/B tests on layouts, copy, CTAs, and recommendations, auto-deploying winners. Built-in upsells, SEO, CRM, loyalty programs, and analytics replace entire app ecosystems.
How I built it
Started with Next.js + React for the frontend, TypeScript + Node.js backend. Integrated OpenAI/TensorFlow for prompt-to-store generation and content creation. Stripe handles payments, PostgreSQL manages store data, AWS Lambda powers serverless scaling. Runner Lab uses custom ML models analyzing visitor sessions to trigger multivariate experiments, with Vercel for deployment.
Challenges I ran into
Balancing AI creativity (store generation) with reliability (production-ready code) was tough—early prompts created inconsistent layouts. Real-time A/B testing at scale required sophisticated statistical guards against false positives. Integrating 15+ native features without bloat while maintaining <2s page loads took heavy optimization. Credit-based pricing logic for fair usage was complex to perfect.
Accomplishments that I'm proud of
Achieved 18%+ average conversion lifts across beta stores via autonomous optimization. Bootstrapped to 500+ active stores without VC funding. Built entirely app-free ecosystem covering 90% of Shopify's top apps natively. Launched MVP in 3 months while working full-time, hitting $50k MRR within 6 months.
What I learned
AI excels at creative generation but needs human-engineered guardrails for business-critical reliability. Real-time experimentation systems must prioritize statistical rigor over speed. Bootstrapping forces ruthless prioritization—focus on one killer feature (autonomous CRO) beats feature bloat. User trust comes from proven metrics, not hype.
What's next for Runner AI
Multi-language store generation, international payment gateways, B2B wholesale portals. Advanced Runner Lab with predictive inventory AI and dynamic pricing. Enterprise tier for agencies managing 100+ client stores. Mobile-first store builder app. Goal: power 10,000 stores by EOY 2026, proving AI-native platforms obsolete traditional ecommerce stacks.
Built With
- aws-lambda
- next.js
- node.js
- openai
- postgresql
- react
- stripe
- tensorflow
- typescript
- vercel
