I'm building DRESSED (trydressed.com) — an AI personal stylist that builds outfit recommendations from clothes you actually own. You scan your closet once, and every morning it picks an outfit based on today's weather and your Google Calendar events. Client dinner on Tuesday? Different outfit than a WFH day.
I'm a senior SEO at Intuit with 25 years in search and zero engineering experience. I built the whole thing using Claude as my coding partner — React SPA, Netlify serverless functions, Supabase, Google Calendar OAuth, Stripe. The hardest part wasn't the code. It was figuring out that AI styling advice is useless without a database of what the person actually owns, which is a solved problem once you think about it that way.
Launching on Product Hunt next week: Wednesday, April 8.
I’d argue this is more of an extreme outlier than a baseline. While it shows the 'ceiling' of what a hyper-lean AI-enabled team can do in a white-hot market (GLP-1s), it’s hard to call $200M+ revenue per employee a 'baseline' for any industry. It’s a remarkable anomaly. A dream of every vibe coder like myself, but not a realistic target for most.
I'm a senior SEO at Intuit with 25 years in search and zero engineering experience. I built the whole thing using Claude as my coding partner — React SPA, Netlify serverless functions, Supabase, Google Calendar OAuth, Stripe. The hardest part wasn't the code. It was figuring out that AI styling advice is useless without a database of what the person actually owns, which is a solved problem once you think about it that way.
Launching on Product Hunt next week: Wednesday, April 8.