I’ve been building small SaaS projects (and running a cab business offline), but the B2B prospecting workflow was driving me insane.
It wasn't just the "Tab Hell" of having 5 different tools open (LinkedIn, Company Site, Email Verifier, etc). The real problem was Signal to Noise.
Most data providers just dump a list of "CEOs in New York" on you. But I needed specific triggers—who is hiring? Who just raised money? Who changed their tech stack? Finding the right signal for the right industry was impossible without manually reading every website.
So, I built GetIntel to solve the relevance problem.
How it works: It acts as a real-time aggregator. You input a domain, and it hits multiple public sources to stitch together not just the contact info, but the context the "signals" that actually matter for a sale.
The Tech:
Backend: Pure Ruby.
Database: Postgres.
The Challenge: The hardest part is mapping signals across industries. A "hiring" signal in a SaaS company means they are growing; in a retail business, it might just be high turnover. I’ve tried to normalize this, but it's tough.
My Request to You: I need a reality check. I don't know if I've nailed the signal relevance for your specific industry (Healthcare? Fintech? DevTools?).
It’s free to try. Please look up a company in your space and tell me: Did I catch the right signals, or is it just noise?
tarang8811•1mo ago
I’ve been building small SaaS projects (and running a cab business offline), but the B2B prospecting workflow was driving me insane.
It wasn't just the "Tab Hell" of having 5 different tools open (LinkedIn, Company Site, Email Verifier, etc). The real problem was Signal to Noise. Most data providers just dump a list of "CEOs in New York" on you. But I needed specific triggers—who is hiring? Who just raised money? Who changed their tech stack? Finding the right signal for the right industry was impossible without manually reading every website.
So, I built GetIntel to solve the relevance problem. How it works: It acts as a real-time aggregator. You input a domain, and it hits multiple public sources to stitch together not just the contact info, but the context the "signals" that actually matter for a sale.
The Tech: Backend: Pure Ruby. Database: Postgres. The Challenge: The hardest part is mapping signals across industries. A "hiring" signal in a SaaS company means they are growing; in a retail business, it might just be high turnover. I’ve tried to normalize this, but it's tough.
My Request to You: I need a reality check. I don't know if I've nailed the signal relevance for your specific industry (Healthcare? Fintech? DevTools?).
It’s free to try. Please look up a company in your space and tell me: Did I catch the right signals, or is it just noise?