Tinder goes AI

gm legends. It’s Sunday funday.

This week: why Tinder is sending a Super Like to AI, what you can learn from one founder’s decade of failed PMF, who is hiring devs this month, and how to cure the blues from your phone. Oh, and of course, highlights from this week's launch leaderboard.

Fill the carafe, pop a bagel in the toaster, and don’t get cream cheese on the screen as you read. 

P.S. Launching soon? We’d love to hear about it → editorial@producthunt.co 🫶

Tinder, the dating app where singles swipe right to get to know someone, wants to know more about you.

Match Group, the company behind Tinder (and Hinge…and OkCupid…and Match.com), spiced up its lackluster Tuesday earnings report by announcing an experimental AI feature called Chemistry.

Chemistry will ask users questions and (if given permission) access their photos to learn what they like. According to Match, it will use that info to suggest better matches (or, maybe, lock them behind a paywall). Got a picture of you at Disneyland with Goofy? Get matched with a fellow Disney devotee…or just someone goofy.

Tinder could use a lift. Its revenue and subscription numbers continue to decline as younger singles swipe left on dating apps and go right for IRL experiences.

If the dating app space is going to succeed, it probably needs a shakeup. This year, we’ve seen just a few Product Hunt launches in the space:

• Shredder, which calls itself “Tinder for skiers or snowboarders” but might also be called “Tinder in Tahoe”
• Kardn, a sort of AI assistant for finding love interests
• Roster, a CRM for keeping track of all the people you’re dating so you don’t ask Madison about Desiree’s dog

What do you think? Can AI address Tinder’s bigger revenue problem? Will it improve match quality? And what AI integrations would you like to see?

By Boris Gostroverhov, founder of ProblemHunt

In 2015, Boris started his first startup, an online contract-signing business. It failed to launch because the existing legal framework couldn’t support remote transactions. As Boris says, “The contracts would not have been considered legally signed.”

Then he went after the natural foods market but found that consumers weren’t willing to pay more to ditch the chemicals. “The market was so small that all my attempts were doomed.”

In total, he’s tested 18 different projects over the last decade. His honest experience and retelling of what went wrong (and what now seems to be going right) make for a fascinating read for anyone trying to find product-market fit. 

This week’s mayoral contest in New York City reminded us we’re just one year removed from the US presidential election. That was the backdrop for the launch of an app initially marketed as “AI therapy for election stress.” While the app isn’t actually specific to politics but intended for all sorts of anxieties and complicated feelings, Product Hunt users voted it #2 for the day on November 5, 2024.

It’s November, and with the holidays around the corner, it may not feel like hiring season—but it very much is, according to fmerian. He’s compiled his largest list yet of job vacancies. So whether you’re a developer relations engineer in San Francisco, a product engineer in London, a full stack developer in the EU, or something somewhere in between, start browsing.