Datacrecy
Stop paying to verify leads you already paid for
A year ago I needed B2B leads for a business I was running. The options were:
Pay ZoomInfo $15k a year and sit through a demo with a guy who keeps saying he'll circle back on pricing.
Run a Chrome extension that scrapes LinkedIn through my own account and hope it doesn't get banned.
Buy Apollo credits, then pay NeverBounce or Millionverifier on top of that to find out which of the contacts I already paid for are actually real.
I did the third one. Two bills, one lead, and a chunk of the "verified" emails still bounced.
That's backwards. Verification shouldn't be something you buy after the fact. It should be the reason a contact made it into the database in the first place.
So I built Datacrecy.
2.5B B2B contacts, and every email gets checked before it's stored, not after you've already paid for it: MX record validity, domain validation, disposable-email detection, B2C filtering, a full SMTP handshake, and spam-trap detection. That's the actual pipeline, not a regex pattern dressed up as "verification."
The other thing that bugged me about every lead tool: they all want your LinkedIn login or their API, and LinkedIn bans the account the moment it notices the pattern. We built an accountless approach instead. It never touches your account, so there's nothing to ban. That's the part competitors running through login/API access can't easily copy.
Stack, for the curious: ClickHouse for storage, Python workers for scraping and verification, KumoMTA for the mail layer, all in Docker. We own every layer, so there's no middleman markup baked into the price.
We just launched on Product Hunt, giving away 1,000,000 free verified leads total, use code 1MIL (10k cap per account): Link
Happy to go deeper on the verification pipeline or the scraping approach if anyone's curious.
4 Comments
This post is your homepage, and it is sharper than your actual homepage. "Verification shouldn't be something you buy after the fact, it should be the reason a contact made it into the database in the first place" is the whole company in one line, and it beats "B2B Lead Generation" by a mile. Your ZoomInfo-then-Apollo-then-NeverBounce story is the exact scar every buyer in this market carries. Lead with that line and that story, not the category.
You actually have two moats, and they do two different jobs, so stop presenting them as equal. "Verification built in" is the pain, and it is what sells, because your buyer has literally paid twice and still watched emails bounce. "Accountless, nothing to ban" is the defensibility, the reason a competitor running on LinkedIn logins cannot copy you, exactly as you said. So lead the marketing with the double-pay pain, because that is what they feel at 2am, and let accountless be the moat you prove underneath. Pain sells, architecture defends.
One thing your pipeline detail cannot do on its own is beat scar tissue. You listed the SMTP handshake, spam-trap detection, the works, and that convinces an engineer, but the buyer who already bought "verified" emails that bounced does not trust a process, they trust a promise. Put a number on it: a bounce-rate guarantee, credits back on any dead email. "Verified before download, or your credit back" is the one sentence Apollo will never say, and it turns your best line into a reason to switch today. The bounce rate is your actual product, so measure it and put it on the page.
The verification-first approach is the right call paying to verify contacts you already paid for is one of the most frustrating parts of B2B outreach. Curious how you’re thinking about distribution for Datacrecy itself beyond the Product Hunt launch?
Hey, congrats on the PH launch - hope it's going well!
If you're interested, I just ran your landing page through an auditor I've made called Ferguson and here's the summary:
"Datacrecy has a clear value proposition, a compelling free entry point, and smart competitor positioning — naming ZoomInfo, Apollo, and Lusha directly does the comparison work for the visitor and the '2.5B+ verified database' claim gives immediate scale credibility. The Product Hunt launch moment is a genuine urgency asset, and the data engine section shows enough technical depth to satisfy a sceptical B2B buyer asking 'but is the data actually good?'
The page is losing visitors in two places: first, the hero subheadline doesn't lead with the most distinctive claim — zero LinkedIn account bans — which is the real reason to choose Datacrecy over Apollo, and it gets buried in secondary copy. Second, there is no social proof anywhere on the page; for a new brand asking visitors to trust it over established players, the absence of even one named customer outcome is a meaningful credibility gap that the data engine section alone cannot fill.
The single most important fix is adding microcopy directly beneath the 'Start Finding Leads' CTA confirming the free credits and no-card requirement — this is a one-line change that removes the last hesitation at the exact moment of decision, and it costs nothing to implement today."
Hope that helps!
The part that stood out wasn't the database size.
It was treating verification as part of data quality instead of an add-on after the purchase.
If that consistently holds up, it changes how buyers compare lead databases in the first place, not just which one they choose.