B2B Lead List for SaaS Companies, by Tech Stack

If you sell to software companies, "all SaaS" is not a target — it's noise. The teams that book demos are the ones already running the tools your product plugs into, integrates with, or replaces. A B2B lead list for SaaS companies is only worth opening if it's filtered to that level of fit. This page shows how to build one with Kavex: start from a real ideal customer profile, find companies by the technology on their site, then enrich the list into something a rep can send the same afternoon.

It's the same move the best outbound teams make. Technographic targeting — "companies using React + Stripe + Segment" instead of "B2B SaaS" — consistently outperforms generic firmographics, because the tech a company runs tells you more about buying intent than headcount ever will.

Start with the ICP, not the export button

Every weak list starts the same way: someone exports 10,000 "software companies" and wonders why reply rates are 0.4%. Get the ideal customer profile wrong and every downstream step — enrichment, copy, sequencing — is wasted effort.

Before you build anything, pin down three axes:

  • Vertical inside SaaS. "Fintech infra," "vertical SaaS for clinics," "dev tools," "e-commerce apps" — a specific niche where you have product-market fit converts several times better than blanket "B2B SaaS" targeting.
  • Size band. Match employee count, revenue range, or funding stage to your average contract value. A team selling $15k annual deals should not be chasing 2,000-person enterprises or three-person pre-seed shops.
  • Tech-stack signal. The single highest-signal filter. A company running Stripe, Segment and HubSpot is a completely different prospect than one on a custom billing system with no analytics.

Pull your last 30–50 closed-won deals and look for the pattern. That pattern is your filter.

Find SaaS companies by what's on their site

Kavex builds the list from public signals rather than a stale, resold database. There are two starting points depending on how you think about your market.

Option A — start from a category and region

Use Google Maps or Yelp search with software-adjacent terms and a location, then let the pipeline do the qualification:

  • "software company San Francisco", "SaaS agency Austin", "app development studio London"
  • Cap the run, tick the data fields you need (name, website, phone, socials), and run it.

Option B — start from a tech-stack signal

This is where SaaS prospecting gets sharp. Feed a list of domains into the Tech Stack Detector or BuiltWith profiler and filter to the companies running the technology that signals fit:

  • "Uses HubSpot" → they invest in RevOps and have budget for sales tooling.
  • "Uses Stripe or Shopify" → live billing, real transactions, a product people pay for.
  • "Uses React, Next.js, AWS" → a modern engineering org, a fit for dev-tooling and infra plays.

The output isn't "a SaaS company exists" — it's "this SaaS company runs the exact stack my product was built for."

Turn the list into something a rep can actually send

A list of company names is research, not pipeline. Chain Kavex's enrichment add-ons so one task produces a sequencer-ready file:

  1. Website Scraper crawls each domain for emails, phone numbers and social profiles.
  2. Email Finder fills the gaps — give it a name and a domain, get the likely address.
  3. Email Verifier SMTP-validates every address so your bounce rate stays low and your sender reputation survives.
  4. AI Personalizer writes a unique opener per company, referencing what it actually does — no "Hi {first_name}, I came across your company" filler.

It runs as a single chained job. You watch the progress bar move through each phase and download one CSV at the end — name, company, verified email, and a personalized first line — ready to import into Instantly, Smartlead or Apollo sequences.

Example output

companywebsitetech_stackverified_emailopener (excerpt)
Northwind Billingnorthwind.ioStripe, React, AWShi@northwind.io"Saw Northwind runs usage-based billing on Stripe — most teams hit the same metering wall around Series A…"
ClinicFlowclinicflow.appHubSpot, Next.js, Segmentsales@clinicflow.app"Vertical SaaS for clinics is a brutal sales cycle — noticed you're on HubSpot, so this'll be quick…"
ShipMateshipmate.coShopify, Klaviyofounders@shipmate.co"Shopify logistics apps live and die on activation — had one idea for ShipMate's onboarding…"

Why technographic lists beat bought databases

Resold SaaS contact lists go stale the moment they're sold — the same 5,000 rows land in a hundred inboxes, half the emails bounce, and reply rates crater. Building from live web signals means the company is real, the site is up, and the tech filter is current the day you run it. You decide the niche, the size band, and the exact stack — instead of paying for someone else's definition of "SaaS lead."

Build your SaaS lead list now

Pick a vertical inside software, choose a region or a tech signal, and run your first job. New accounts start with 1,000 free credits — enough to build and enrich a focused starter list before you spend a cent.

Start free with 1,000 credits →


Keep going

Start free — 1,000 credits, no card.

Pick a category and a city, run Google Maps, and export an enriched CSV.

Build your first lead list