About HapHunt

HapHunt helps you find happy hours that are actually good food deals.

It started with a movie date. We wanted to grab a bite before a 7pm showing of Bugoniaat SIFF Cinema Downtown — one of our favorite Seattle date spots. With how expensive going out to eat has gotten in Seattle, slipping into happy hour before a movie is one of the best ways to enjoy a night out without the full-price sting. We usually slide in around 5:45 and place a frantic order so we're eating by 6:15.

But finding a good happy hour nearby? That was the hard part. I ran a few menus through ChatGPT — places like 2120, Cinque Terre — trying to figure out which ones were actually a deal. We ended up at Sound Bite at the Sound Hotel, which I only knew about because I spotted their sandwich board advertising $7 food and drinks until 7pm.

That's when it clicked. It's really hard to find where good happy hours are happening, and there's no way to know if it's actually a deal unless you sit down and compare the happy hour menu to the regular menu. So that's what HapHunt does.

For every restaurant, we pull the happy hour menu and the regular menu. We match overlapping items, calculate the percentage discount on each one, and average those savings to assign a verdict: Real (25%+ savings), Meh (10–24%), or Fake (less than 10%).

No estimates. No vibes. Just math.

HapHunt is not a restaurant directory. It's not sponsored content. It's not user reviews or ratings. Every restaurant is evaluated using the same methodology — our verdicts are based on data, not relationships.

HapHunt focuses on the deal, not the restaurant.

Have a question, spot an error, or want to suggest a neighborhood? Email me at hello@haphunt.com.

HapHunt was built by Katherine Corson in Seattle. After spending too many evenings discovering that “happy hour” meant $1 off a $16 plate, she started comparing menus systematically. That side project became HapHunt — a database of 177+ restaurants with item-level price comparisons and honest verdicts.

Katherine built the data pipeline, the analysis methodology, and the editorial review process. Every verdict is human-reviewed before publication.