I built a real-time B2B lead engine for francophone Europe launching on Product Hunt June 17th
Apollo and Hunter ignore Belgian, French, Luxembourg and Swiss SMEs. So I built DataCloser — a real-time B2B lead engine that scans Google, AI-scores each prospect, verifies the decision-maker's email, writes a personalised icebreaker, and sends outreach from your own inbox.
Solo, bootstrapped, launching on Product Hunt June 17th.
Use code PRODUCTHUNT for 1 free month → https://datacloser.com
Nice positioning. I'm building ComplaintIQ around customer complaint analysis, and one thing I've learned is that lead generation gets a lot easier when teams understand the exact complaints and objections prospects already have. Curious what data sources have been most useful for your AI scoring so far?
One thing I'd be careful with:
The interesting question may not be whether DataCloser can find and contact prospects more effectively.
It may be which buyers feel enough pain from existing lead-generation workflows to switch before the launch data starts arriving.
Those sound similar, but they can lead to very different conclusions about what the Product Hunt results actually mean.