Hey Product Hunt 👋 Anthony here. Built DOW after spending 10+ years eating my way through Porto, Barcelona, and Manchester—sometimes brilliantly, often badly, always learning where the actual good places were hiding. Here's the thing nobody's saying out loud: 97% of independent restaurants have incomplete Google Business Profiles. They serve brilliant food. Loyal locals. 40 years of the same family running the same kitchen. And they're completely invisible to AI. Try it right now. Ask ChatGPT "where should I eat in Porto." You'll get chains and whatever has a complete GBP. The tasca that's been grilling sardines since 1983? Doesn't exist in the answer. Not because the food's bad—because the GBP is 23% complete and ChatGPT has nothing to work with. That's the problem DOW fixes. We surface what locals already love—the places you'd find if you lived there 3 years and got it wrong enough times first. Algorithmic Hot Lists, not editorial opinion. Real customer quotes, verbatim—never manufactured. How it actually works: Hot Score = velocity (how fast reviews are coming in) + quality (actual ratings) + freshness (recent activity) + profile completeness (can AI even see you). Monthly refresh. Zero paid placements. Zero editorial bias. 100% independent restaurants AND bars only—chains excluded programmatically. And one thing nobody else does: native language reviews count 1.5x. Spanish reviews in Spain matter more than English tourist reviews. Local authenticity weighted algorithmically. 49 zones across UK, Portugal, Spain. Each zone is roughly a 10-minute walk radius. When you're standing in Ribeira at 8pm wondering where to eat, "Top 100 in Porto" is useless. "Top 5 within 10 minutes of where you're standing" actually helps. The reluctant bit: DOW is half of an ecosystem. The sister product is booteek AI—village-scale intelligence that fixes the invisibility problem (GBP completion, review responses, team tracking). DOW shows who's winning. booteek helps you join them. Together: the only European hospitality intelligence network built exclusively for independent restaurants AND bars. (Nobody else mentions bars. 40% of the market. Zero competitors.) What I'd genuinely like to know: Pick a city you know well. Check the Hot List for a zone you've eaten in. Does it match what you'd actually recommend? If not—what's missing? The "no chains" policy—too hard-line or exactly what's needed? Village-scale language (8-person teams, not 50-location groups)—does that land or feel too niche? Zone selection—are we covering neighbourhoods that actually matter or missing obvious ones? One test worth running: Search ChatGPT for restaurant recommendations in a European city you know. Then check DOW's Hot List for the same zone. The gap between what AI recommends and what locals actually eat is the entire point. We don't aim to cover every city, but every city underserved is an opportunity for us to explore. Thanks for checking this out. Around all day for questions about DOW, why bars matter as much as restaurants, or why Portuguese food is criminally underrated internationally.Anthony

Donde Onde Where

Where locals actually eat and drink. Algorithmically ranked.

Where locals actually eat and drink. Algorithmically ranked.