Universal-3 Pro by AssemblyAI — Speech-to-text that finally understands context
Speech-to-text that finally understands context
Promoted
Maker
📌
👋 Hey Product Hunt! We built a better way to find people in San Francisco
San Francisco is one of the most talent-dense, idea-dense cities in the world, yet finding the *right* people is still weirdly hard.
You know the pain:
* LinkedIn search feels rigid and keyword-y
* Twitter/X, Substack, GitHub, blogs, podcasts… all fragmented
* The most interesting people often don’t fit neat job titles
We kept running into this problem ourselves, so we built a **people search platform designed specifically for SF**.
### 🧠 What we’re actually building
At its core, this is a **search engine for people**, not resumes.
We ingest messy, unstructured data from across the internet — bios, writing, projects, talks, tweets, interviews — and clean it into structured representations of:
* What someone *actually works on*
* What they care about
* What they’re building, researching, or obsessed with right now
Instead of searching:
> “Founder AND AI AND healthcare”
You can search:
> “People in SF working on applied AI for healthcare startups who’ve written publicly about regulation”
### 🤖 Why we care about agentic search
This project is also driven by a deeper obsession: **agentic search**.
We don’t think search should just retrieve documents.
We think it should:
* Interpret intent
* Expand vague queries intelligently
* Decide *what to look for next*
* Rank people based on reasoning, not keywords
People search is a perfect testbed for this problem — the data is noisy, subjective, incomplete, and constantly changing. Exactly the kind of environment where agents matter.
### 🌉 Why start with SF?
SF is small enough to be focused, but complex enough to matter:
* Founders, engineers, researchers, artists, investors
* Constant churn
* Public thinking everywhere
If we can solve people search here, it scales.
### 🚀 What’s next
Right now, we’re early:
* Search is live
* Data quality is improving daily
* Agents are still learning how to think better
We’d love feedback from anyone who’s:
* Tried to find collaborators, hires, or founders in SF
* Frustrated with existing people search tools
* Curious about where agentic search is headed
Happy to answer questions, take feature requests, or hear why this is a terrible idea 😄
Thanks for checking it out 🙏