Keeper

Keeper

科技、信息和网络

San Francisco,CA 1,686 位关注者

Love at first match

关于我们

Meet the person who meets your standards with the world’s most advanced matchmaking solution. Driven by AI and relationship science. Guided by human care.

网站
https://keeper.ai
所属行业
科技、信息和网络
规模
2-10 人
总部
San Francisco,CA
类型
私人持股
创立
2022
领域
AI和Matchmaking

地点

Keeper员工

动态

  • Keeper转发了

    查看Jake Kozloski的档案,图片

    Founder and CEO @ Keeper | Human matchmakers guided by relationship psychology & AI | 1:7 first dates lead to marriage

    ?? Very excited to be releasing the Keeper Relationship Tracker, an app for people already in a relationship. It gives you a cute reminder of how long you and your partner have been together. Would very much appreciate it if you could leave a comment on Product Hunt (link below??). Every bit helps! — Features: ? Upload your favorite photo together ? Track your years, months, weeks, or days together ? Add a widget to your phone home screen or Apple Watch ? Get reminders on anniversaries and other fun dates (like 1000 days together) We're going to be launching on Product Hunt on 10/19/24, but the product page is LIVE now. Product Hunt page ?? https://lnkd.in/eW5AVUE4

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  • 查看Keeper的公司主页,图片

    1,686 位关注者

    Keeper has surpassed 200K users ?? People are tired of traditional dating apps. Over 90% of young adults use dating apps as their primary way to find love. Yet, 67% of singles seeking a serious relationship say it's not going well. It's time to try something new. Using psychology-backed AI and real-human matchmakers, Keeper will ensure that those who want to get married can efficiently find their ideal match. https://keeper.ai/

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  • Keeper转发了

    查看Shalin Varghese的档案,图片

    rebuilding something old | founder

    Here is how an engineer moonlighted as a matchmaker and pulled off a 100% match rate. Working on Keeper, I dove headfirst into the wild world of matchmaking, confident that I could teach our proprietary LLM (Learning Love Model? Love Language Model? There’s something here ??) to tease out what causes the spark between two people. While I was confident machines could understand latent factors that drive long term relationship with the right data, I wanted to see how I would fare the old school way. "Hey, how tough can it be? Match people with similar likes, and voilà!" Well, turns out, it’s not that simple. Shared interests in spaghetti or space operas don’t always equate to true love. Who would've guessed? (Spoiler: Almost everyone but me!) After a few comical missteps, my inner geek pushed me to hit the books. I wasn’t just reading cheesy love stories; I was diving into the nitty-gritty of psychological studies and ancient matchmaking wisdom (yes, that’s a thing). My mission? To crack the code of long term relationships. Fast forward through a montage of research, trial, and error, and there I was, blending personality insights, emotional IQ, and even a pinch of astrological magic (because why not?) to find that perfect match. I actually did it – I found a match that seemed as perfect as a scripted rom-com finale. I was ready to take a bow, thinking I’d nailed the perfect love algorithm. With a mix of pride and excitement, I presented this perfect match according to me to our senior matchmaker, expecting cheers and confetti. I was sure that my recent research had allowed me to pair two perfect soulmates. But what actually happened when the matchmaker pulled up the match on our portal (with a knowing smirk, I might add), my match not did not pop up as the the ultimate match (again, to my surprise but no one else’s). Our senior matchmaker in conjunction with our AI not only found the perfect match that I would never have considered on my own but also flagged all the potential disasters I had blissfully ignored in my proposed match! Armed with this newfound wisdom, I presented the match suggested by our senior matchmaker + AI as my own ?? . And it was a home run! So, now comes the key part - quit on that high note ??. Cue the credits: I swapped my matchmaker's hat for my trusty engineer’s keyboard, but not without some key takeaways: ???? The criteria for finding a match in the digital age are among the most long tail searches in any industry, revealing the intricate nature of human relationships. ???? Human experts have been able to find the “secret sauce” to matchmaking, but in a two sided network like matchmaking, a human matchmaker would be the bottleneck in truly achieving any network effects. ???? A harmonious blend of expert human judgment and advanced AI proves to be the most effective approach, outperforming either in isolation. So if you're looking for a keeper, you might want to check out Keeper.

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