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Case study

We are our own first customer.

LeadsFromURL grows on LeadsFromURL. The same engine that scans Reddit for your buyers runs every single day scanning for ours, and most of the conversations that become our customers start with a lead it found. That makes this the one case study we cannot fake: if the tool stopped working, our own pipeline would dry up first.

23,331
leads found for real campaigns
production database, all time
421
campaigns scanned
from solo founders to agencies
22%
reply rate on our own cold outreach
cold email averages 1-5%
2-5 min
from pasted URL to first leads
the same scan you get

Pulled from our production database on June 11, 2026. Not projections.

The playbook we run on ourselves

  1. 1

    The radar scans

    Our own campaign watches Reddit for founders and businesses asking how to find customers. Your campaign does the same for whatever your buyers ask about.

  2. 2

    The AI rejects almost everything

    Most posts that match keywords are not buyers. The screening throws them out. A typical scan checks 500-2,000 posts to surface a handful of real ones. We would rather hand you 5 leads worth replying to than 150 that waste your week.

  3. 3

    The blip: a customer appears

    When we reach out to the people our engine finds, 22% reply. Not because the messages are clever, but because these people were already asking for the thing. Timing beats copywriting every time.

  4. 4

    Proof before any ask

    When someone is curious about the tool, we scan their site and hand them two or three of their own real leads in the chat before they sign up for anything. You get the same deal: paste your URL, see your real leads, decide after.

Real campaigns, this month

K-12 education platform5 high-intent leads in one scan

A churned customer in the education space. We re-ran their campaign with the rebuilt engine: five homeschool parents actively asking for curriculum help, found the same day, at 0.85-0.90 confidence. Real parents, real questions, posted within hours of the scan.

Bay Area water heater companylocal homeowners, not noise

A hyper-local service business. The engine watches Bay Area subreddits for homeowners describing exactly the problem this company fixes, and rejects the lookalike posts from the UK and Australia that keyword tools would happily serve them.

Cybersecurity SaaS55 fresh leads in a week

Security engineers posting about alert overload in r/cybersecurity and r/AskNetsec. The campaign finds a steady 2-6 buyer-intent posts per day. No scraping lists, no guessed emails: people publicly describing the pain this product solves.

Customer niches anonymized. The numbers and posts are real and current.

What it will not do

The fastest way to lose your trust is to pretend. So, plainly:

  • It will not invent demand. If nobody on Reddit is asking for what you sell this week, you get few leads, and the tool tells you that instead of padding the list with junk.
  • It will not give you phone number lists. It finds people publicly describing a problem you solve, so you can join the conversation while it is happening.
  • It will not charge you to find out. The first scan shows you real, fully unlocked leads for your URL before any card is charged. Free trial, $0 today, cancel anytime.

Run the same scan we run on ourselves.

Paste your URL. In a few minutes you will be reading real posts from people who need what you sell. Then decide.

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