Find the next 15,000 calls.
LeadHunter pulls from fifteen public and semi-public data sources, runs every name through Claude, and hands your call room a ranked plan for every prospect — with the reason to call and the script to open with.
Amra K. · Sarajevo
Consumer · 15,000 KM · 48 mo
Last sync
2h 14m ago
Qualified prospects
+ 2,147
Two years embedded inside a regional bank. We watched the call room work. LeadHunter is what we built so they didn't have to anymore.
Most lead-gen tools sell a list. LeadHunter hands the call room a reason to dial every name — pulled from the public record, scored by Claude, ranked by the model that has seen what conversions actually look like at this bank.
Fifteen sources, one command.
LeadHunter ships with connectors to the public and semi-public feeds that actually matter for consumer credit in your market. Refreshed on schedule, retried when one flakes.
Source. Classify. Act.
Three stages that turn public records into a queue your call room can actually start dialing. End-to-end, no manual handoffs in the middle.
Source
15 feeds, in parallelLeadHunter pulls from 15 official local data sources at once. Company registries, court records, tax filings, open banking, and the rest — each with its own connector, refreshed on schedule, retried when something flakes.
Classify
Claude under the hoodClaude reads every candidate, deduplicates across sources, and scores them. Each classification comes back with a confidence number and the features that drove it — defensible at a compliance review, not a black box.
Act
Plans, not CSVsWhat the call room opens is not a spreadsheet dump. Every prospect comes with a ranked plan — why they qualify, what to mention on the call, which product fits, when to ring back.
Everything your call room actually needs.
We have run this in production at a real bank for two years. The list below is what ended up mattering — nothing on it is theoretical.
Fifteen local sources, day one
Pre-built connectors to the data feeds that actually matter in your market. Adding new ones is a settings change, not a rebuild.
Dedup that actually works
The same person across three registries becomes one record in LeadHunter. Fuzzy matching, name normalization, stable IDs — no spreadsheets to clean up after.
Claude scoring
Anthropic's model does the classifying. State-of-the-art quality without training, hosting, or babysitting your own model.
A reason to dial every name
Each lead ships with a prioritized script, the product match the model thinks fits, and a confidence number. Your agents open the record and start the call.
CRM + dialer hooks
Pushes leads into whatever your call room already runs. REST, webhooks, native connectors to the usual CRMs.
Audit log built in
Every data point, every classification, every score is written down. Hand it to a regulator without preparing anything.
A plan, not a row in a spreadsheet.
This is the record an agent opens before they pick up the phone. No interpretation required, no internal lookup — the reasons and the script are already on the screen.
- +Stable employment, 4+ years
- +No open credit lines
- +Clean court record
- +Property ownership
Representative output · names redacted
Want to see your next 2,000 leads?
Half an hour, the actual product, on sandbox data. We can also run it against your real region if you want to see what is already waiting in the public record.