Stupid Good Blog
Life's Too Short for Pretty Good: Introducing Stupid Good AI
Good enough never changed anyone's night. We built something that actually knows your taste. Meet Stupid Good AI.
The Specials Question: When to Order It and When to Skip It
The daily special is either the best thing on the menu or a way to move product. Here's how to tell which one you're looking at before you order.
The One Thing: Every Restaurant Does Something Better Than Everyone Else
Every restaurant has one thing it does better than anywhere else. Finding it is the difference between a good meal and the meal you talk about for months.
Tasting Menu vs. À la Carte: How to Actually Decide
Tasting menu or à la carte? The answer depends on what kind of night you're having, not which one sounds more impressive. Here's how to decide.
The Second Visit Rule: Why You're Judging Restaurants Too Fast
First impressions of restaurants are notoriously unreliable. Regulars know something first-timers don't. It changes how you should be evaluating every new place you try.
The Reservation Game Is Broken. Here's How to Win Anyway.
The hardest restaurant to book isn't always the best one in the room. Here's how to navigate the reservation arms race and actually win.
The Problem With 'Authentic'
Everybody wants authentic food. Nobody agrees on what it means. Here's why the word has become basically useless, and what actually matters instead.
The Specials Question: When to Order It and When to Skip It
The daily special is either the best thing on the menu or a way to move product. Here's how to tell which one you're looking at before you order.
The One Thing: Every Restaurant Does Something Better Than Everyone Else
Every restaurant has one thing it does better than anywhere else. Finding it is the difference between a good meal and the meal you talk about for months.
Tasting Menu vs. À la Carte: How to Actually Decide
Tasting menu or à la carte? The answer depends on what kind of night you're having, not which one sounds more impressive. Here's how to decide.
The Second Visit Rule: Why You're Judging Restaurants Too Fast
First impressions of restaurants are notoriously unreliable. Regulars know something first-timers don't. It changes how you should be evaluating every new place you try.
The Reservation Game Is Broken. Here's How to Win Anyway.
The hardest restaurant to book isn't always the best one in the room. Here's how to navigate the reservation arms race and actually win.
The Problem With 'Authentic'
Everybody wants authentic food. Nobody agrees on what it means. Here's why the word has become basically useless, and what actually matters instead.
Why We Built Stupid Good AI for Free (And Why That Actually Matters)
The best restaurant discovery tool costs nothing. That’s not an accident.
AI Recommendations Keep Missing You. Here's Why That's Not a Coincidence.
Most AI recommendations are technically correct and completely wrong for you. That's not a bug — it's the whole model.
What Google's AI Restaurant Summaries Actually Tell You (And What They Don't)
AI-generated summaries are everywhere now. Here's a clear-eyed look at what they're doing with your dining decisions.
The AI That Actually Gets You
Everyone’s had a generic AI rec that completely missed. Here’s the difference between an algorithm that averages and one that actually knows you.
Building the Spotify of Food: Our Product North Star
What if your recommendations got smarter every time you went out? That’s what we’re building.
Why Picking a Place to Eat Feels So Hard (And What We're Building to Fix It)
Decision fatigue is real. So is the solution.
The Neighborhoods That Food Media Always Forgets
Food coverage clusters in the same six neighborhoods. Here’s what’s happening outside those borders.
How to Actually Eat Well When You're New to a City
Every dinner is a research project and you're still getting it wrong. Here's the cold start problem — and how to solve it.
A Food Lover's Guide to Never Wasting a Single Meal When You Travel
You get maybe 6–9 meals in a new city. Here's how to make sure every one counts.
