Explore Seekeasy's data with our MCP which returns recommendations for restaurants based on social media creator content. Understand the shape and trends of social media through the eyes of your favorite creators.
Restaurant recs powered by social media creators
Explore Seekeasy's data with our MCP which returns recommendations for restaurants based on social media creator content. Understand the shape and trends of social media through the eyes of your favorite creators.
Hey Product Hunt! Sam here from Seekeasy! We're excited to provide a sneak peak of our app launch, built for the terminally online who's constantly on Instagram, TikTok or other social media platforms planning their next Japan trip or to trying to stay on top of the latest summer fashion trends. We know that today's consumers and GenZ in particular turn to social media and their favorite creators to discover what to do, where to go, and what to buy. But social media isn't easy to search and is n
Great! interesting...does it co-relate reviews from the web and do some sort of check on whether they are genuine or not and then finally help arrive at a recommendation?
I was looking for some proper food recommendations - thanks for sharing! Curious, what kind of data enrichment are you doing for the restaurants and how do you prevent content staleness?
Congrats on the launch guys! Can't wait to integrate this into Cursor and get food recommendations while coding on the fly!
Seekeasy sounds like a fun and innovative way to make dining out more inspired by social media trends! How does Seekeasy ensure the data accuracy of the social media content it pulls?
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.