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Reach Ai
AI-powered neural matching to find your perfect hobby buddy
Reach uses Deep Semantic Matching to connect people beyond keywords. Start to find the perfect partner for sports or hobbies based on real compatibility. No more bad matches, just pure chemistry.
Hi PH! We are a team of 3 developers bootstrapping Reach out of Da Nang, Vietnam.
The Problem: Platform Fragmentation If you want to find a Padel partner of your exact skill level, or a specific gaming buddy on fridays, what do you actually do? You have to post in three different Facebook groups, join a random Discord server, ask on Reddit, and constantly bump your posts to get visibility. You are doing all the heavy lifting, hunting across fragmented platforms. It’s exhausting.
The Solution: Intent-Based Matching We built Reach to flip this model upside down. With Reach, you don’t search. You simply express your need or intent once. Then, our Deep Semantic Matching engine goes to work in the background. It understands the nuances of your request and autonomously finds the perfect people for you. You just post your demand, sit back, and wait to be matched.
What we are launching today: We are rolling out our beta focusing entirely on our agent—our vertical dedicated to sports, hobbies, and passions. (The architecture for: automated communites, professional and dating verticals is next!).
Our ask to the PH Community: Since we are a small tech-heavy team building this from scratch, your feedback on the algorithm is our compass. We’d love for you to try it: - Drop your intent / what you are looking for in the app. - Let the semantic engine process it. - Tell us: Does it feel like magic compared to the old "post and pray" method?
We’ll be hanging out here all day to answer any questions about the vector search tech stack, the AI agents, or bootstrapping from Vietnam!
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About Reach Ai on Product Hunt
“AI-powered neural matching to find your perfect hobby buddy”
Reach Ai was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #158 on the daily leaderboard. Reach uses Deep Semantic Matching to connect people beyond keywords. Start to find the perfect partner for sports or hobbies based on real compatibility. No more bad matches, just pure chemistry.
Reach Ai was featured in Social Network (50.3k followers), Artificial Intelligence (467.3k followers) and Community (3k followers) on Product Hunt. Together, these topics include over 98.9k products, making this a competitive space to launch in.
Who hunted Reach Ai?
Reach Ai was hunted by Sofiane Khatir. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Reach Ai stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sofiane Khatir
Hi PH! We are a team of 3 developers bootstrapping Reach out of Da Nang, Vietnam.
The Problem: Platform Fragmentation
If you want to find a Padel partner of your exact skill level, or a specific gaming buddy on fridays, what do you actually do? You have to post in three different Facebook groups, join a random Discord server, ask on Reddit, and constantly bump your posts to get visibility. You are doing all the heavy lifting, hunting across fragmented platforms. It’s exhausting.
The Solution: Intent-Based Matching
We built Reach to flip this model upside down. With Reach, you don’t search. You simply express your need or intent once. Then, our Deep Semantic Matching engine goes to work in the background. It understands the nuances of your request and autonomously finds the perfect people for you. You just post your demand, sit back, and wait to be matched.
What we are launching today:
We are rolling out our beta focusing entirely on our agent—our vertical dedicated to sports, hobbies, and passions. (The architecture for: automated communites, professional and dating verticals is next!).
Our ask to the PH Community:
Since we are a small tech-heavy team building this from scratch, your feedback on the algorithm is our compass. We’d love for you to try it:
- Drop your intent / what you are looking for in the app.
- Let the semantic engine process it.
- Tell us: Does it feel like magic compared to the old "post and pray" method?
We’ll be hanging out here all day to answer any questions about the vector search tech stack, the AI agents, or bootstrapping from Vietnam!
Cheers,
Sofiane, Damien, David.