CRM and sales decision
LeadFinder.io
A competent developer can reproduce the basic crawler, map extractor, validation, and export workflow (prior-art repos exist), but the vendor's claimed 300M verified database, unlimited scale, and polished SaaS experience are not practical to replicate for one person.
Visit website↗$99/mo
$1,188/yr
Read off the official pricing page.
$100one-off48 h to build
$80/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 1 seat.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Crawl target sites/maps, extract contact data, validate emails, filter/segment results, export leads.
What it still won’t have
- Access to the vendor's claimed 300M verified-lead database
- Scale, reliability, and polish of a maintained SaaS
- Unlimited-query infrastructure and proxy network
- Customer support and SLA-backed uptime
- Any proprietary enrichment datasets or scoring
What remains hard
- Proprietary data
Tap into our database of over 300 million verified business leads.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 1 seat.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted lead-generation web app using Node.js + Express, Postgres, React, and Puppeteer. Core features in scope: user auth and Stripe billing for one paid seat; web UI with search, filtering, and CSV export; website crawler to fetch lists of sites and extract emails (configurable concurrency); map extractor script to scrape business entries by latitude/longitude bounding boxes; integrate a commercial email-validation API (or SMTP verify fallback) for batch and real-time checks; store leads in Postgres with de-duplication and simple query endpoints. Out of scope: training proprietary lead datasets, building a 300M-record enrichment DB, white-label multi-tenant billing, and heavy anti-bot/proxy networks. Include error handling, retries, logging, unit tests for core modules, and a Docker Compose deployment for a single VPS.
How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-3
- Evidence score57
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 2
Every page the run actually retrieved.
- official productLeadFinder - Truly Unlimited Leads
- official pricingPricing - LeadFinder
Integrity checks
What held up, and what did not.
