Don't just prompt a website; prompt revenue. Runner AI builds AND optimizes. It continuously runs experiments in the background, automatically turning visitors into buyers.
I'm Weizhi, founder of Runner AI. Excited to share what we've been building over the past 5 months: an AI-native commerce stack that autonomously builds, tests, and optimizes your store.
Before starting Runner AI, I spent five years at Google and DeepMind — building data infra and Gemini. That shaped how I think about products: when data is unified and AI can see the full picture, it doesn't just help — it proposes changes, learns from real user behavior, and gets smarter with every iteration.
But today, traditional e-commerce doesn't work that way.They stitch together 20+ tools that don't talk to each other. Your email tool doesn't know what your checkout learned. Your analytics can't inform your pricing. Because nothing connects, nothing compounds. You're running experiments in silos while customer behavior shifts daily.
We built Runner to bring that self-optimizing logic to commerce, grounded in the belief that the best way to grow is to experiment, learn, and iterate continuously.
Most e-commerce platforms are built for humans to operate, with AI added later as a feature. We designed it differently — a commerce stack built from the ground up for AI to observe, act, and improve your conversion rates automatically. Runner puts everything under one roof: storefront, analytics, experiments, pricing, promotions, user behavior — all unified, all visible to AI. When checkout improves, recommendations get smarter. When pricing learns, promotions adapt.
How it works:
Describe & Build: Describe your vision → AI builds everything (design, copy, functionality).
Observe: AI sees everything: drop-offs, abandoned products, winning copy, and pricing friction.
Optimize: AI acts on everything: rewrites headlines, adjusts layouts, optimizes flows, and tests pricing.
Scale: Winners get scaled. Losers get replaced. 24/7.
What makes us different:
No themes, no templates: AI architects a custom store from scratch.
No "App Tax": Core tools are built-in, not paid plugins.
Full transparency & control: You see every experiment, set boundaries, and adjust anytime.
This is v1. We'd love for you to try it and tell us what you think.
What's compelling is how this removes the analysis paralysis that kills most ecommerce launches. AI makes the design decisions, you focus on product.
Congrats on launching! Curious — what kind of stores do you think get value the fastest from Runner at v1?
This is interesting. How hands-off can it actually be today vs. how much control do merchants still need? Congrats on the launch!
About Runner AI on Product Hunt
“Build, optimize, and scale your AI-native store.”
Runner AI launched on Product Hunt on February 9th, 2026 and earned 102 upvotes and 4 comments, earning #3 Product of the Day. Don't just prompt a website; prompt revenue. Runner AI builds AND optimizes. It continuously runs experiments in the background, automatically turning visitors into buyers.
Runner AI was featured in Website Builder (9.4k followers), E-Commerce (41.4k followers) and Vibe coding (403 followers) on Product Hunt. Together, these topics include over 18.4k products, making this a competitive space to launch in.
Want to see how Runner AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hey Product Hunt!
I'm Weizhi, founder of Runner AI. Excited to share what we've been building over the past 5 months: an AI-native commerce stack that autonomously builds, tests, and optimizes your store.
Before starting Runner AI, I spent five years at Google and DeepMind — building data infra and Gemini. That shaped how I think about products: when data is unified and AI can see the full picture, it doesn't just help — it proposes changes, learns from real user behavior, and gets smarter with every iteration.
But today, traditional e-commerce doesn't work that way. They stitch together 20+ tools that don't talk to each other. Your email tool doesn't know what your checkout learned. Your analytics can't inform your pricing. Because nothing connects, nothing compounds. You're running experiments in silos while customer behavior shifts daily.
We built Runner to bring that self-optimizing logic to commerce, grounded in the belief that the best way to grow is to experiment, learn, and iterate continuously.
Most e-commerce platforms are built for humans to operate, with AI added later as a feature. We designed it differently — a commerce stack built from the ground up for AI to observe, act, and improve your conversion rates automatically.
Runner puts everything under one roof: storefront, analytics, experiments, pricing, promotions, user behavior — all unified, all visible to AI. When checkout improves, recommendations get smarter. When pricing learns, promotions adapt.
How it works:
Describe & Build: Describe your vision → AI builds everything (design, copy, functionality).
Observe: AI sees everything: drop-offs, abandoned products, winning copy, and pricing friction.
Optimize: AI acts on everything: rewrites headlines, adjusts layouts, optimizes flows, and tests pricing.
Scale: Winners get scaled. Losers get replaced. 24/7.
What makes us different:
No themes, no templates: AI architects a custom store from scratch.
No "App Tax": Core tools are built-in, not paid plugins.
Full transparency & control: You see every experiment, set boundaries, and adjust anytime.
This is v1. We'd love for you to try it and tell us what you think.
→ Try Runner AI free
Weizhi Li
Founder & CEO, Runner AI