How do you handle bad data in your lead pipeline?
Hey everyone! 👋
We just launched Leedrush Engine — an AI-powered lead enrichment tool built specifically for SDR teams and agencies who are tired of wasting time on bad data.
The problem we solve: Most B2B teams buy lead lists from Apollo, ZoomInfo, or scrape them from LinkedIn — and end up with 30-40% garbage: bounced emails, wrong job titles, duplicates. That's hours wasted on outreach that never lands.
How Leedrush works:
Upload your CSV (or JSON/XLSX)
Our engine validates every email (SMTP + DNS), enriches contacts, removes duplicates, and scores each lead 0-100
Export clean, CRM-ready data — or push directly to HubSpot/Salesforce
The key difference: you only pay for qualified leads. Duplicates, invalid emails, and low-ICP contacts are filtered at our expense.
We're offering 500 free credits to everyone — no credit card needed. And for the PH community, use code PRODUCTHUNT to get 1,000 credits instead.
🔗 Try it: leedrush.com
Curious to hear — what's your biggest pain point with lead data quality? How do you currently handle list cleaning before outreach?
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