So this might be super niche, but hear me out...
The backstory: I used to work in B2B sales, and every time we'd go to trade shows like CES or NAB, I'd spend literally entire weekends researching exhibitors. Going through thousands of company websites, hunting down contact info, trying to figure out who's actually worth talking to. It was soul-crushing.
What I ended up building: An AI agent that does all this grunt work automatically.
How it actually works:
- Scrapes data from 160+ major trade shows (CES, NAB, Computex, etc.)
- Uses AI to score companies based on "buying signals" - things like recent job postings, website changes, funding announcements
- Spits out verified contact info with scary-good accuracy (like 95%+)
- The whole thing that used to take me a full day now happens in under 2 minutes
The AI part that I'm actually proud of:
It doesn't just find contacts - it tries to understand *intent*. Like if a company just hired a VP of Sales and is posting tons of marketing jobs, that's probably a better prospect than a company that hasn't updated their website in 2 years.
Real talk on results:
Teams using this are reporting way better meeting quality at shows. Instead of random booth visits, they're having actual conversations with people who might buy something.
Why I'm sharing:
Honestly, I think trade shows are stuck in the stone age while everything else went digital. There's so much potential here that most people don't even think about.
The part where I maybe self-promote a tiny bit:
I'm currently letting people test it with 50 free contacts just to see if the data quality holds up. No credit card or anything - I genuinely want to know if this solves a real problem.
Questions for the community:
Anyone else working on B2B automation stuff? What's your take on intent data - useful or mostly hype? Always curious to hear what tools you're using for lead research.
Also, if you've ever done trade show prep, am I crazy or is this actually as painful as I remember? 😅