Find SaaS companies
by what they actually do.
Search SaaS companies by headcount growth, by the technology their job posts require, by the pricing model on their site, by who reacts to what their founders post. Retriever pairs 30+ connected APIs with the live web. What lands in the table is the sentence that qualified each software vendor, its source, and a buyer you can email.
B2B SaaS companies in France with 20 to 200 employees hiring their first sales leader│
What you can search for in SaaS
- Vertical SaaS startups in healthcare that launched in the last 12 months
- Bootstrapped SaaS companies with enterprise customer logos and no funding announcement
- SaaS companies whose job posts mention moving upmarket to enterprise deals
- Software vendors whose headcount grew more than 20% in the last six months
- SaaS companies that raised a Series A in the last six months and are hiring their first account executive
- SaaS companies running one technology on their site while hiring for a competing one
- SaaS companies that switched to usage based pricing this year
See it qualify SaaS companies
Headcount growth, funding, tech stack. One signal per tab, and every row carries the sentence that qualified it.
vendors that scale
B2B SaaS France, six month growth
B2B SaaS companies in France whose headcount grew more than 20% in the last six months
Describe the leads to search for...
French B2B SaaS, growing teams
| Score | Company | Domain | What qualified it | Decision maker | Country | People |
|---|---|---|---|---|---|---|
| Searching | ||||||
Illustrative example, fictional SaaS companies. A real run shows where headcount growth was read, and names a contact you can write to.
Which signals qualify SaaS companies?
| Signal | What it tells you | Where it is read |
|---|---|---|
| Headcount growth | Growth over 1, 3, 6 and 12 months separates vendors that are scaling from vendors that stalled | Team size tracked over time |
| Funding | Stage, amount, date, round type and investors. A fresh round means budget for new tools | Funding announcements and investor records |
| Hiring, role by role | A first sales hire marks the shift to a sold product. A wave of SDRs means a machine being built. A platform role means technical debt being paid | The job posts the company publishes |
| Tech stack | Tools visible on the site, plus the ones required in job posts. Integration fit, or a replacement window | The site itself, and the technologies named in job posts |
| Product and pricing pages | Segment served, move upmarket, real maturity, read in the words the company uses itself | The company site: product, pricing, customers, changelog, security |
| LinkedIn conversation | Feature launches, founder posts, and above all who reacts, which maps their customers and their ecosystem | Public posts, comments and reactions |
| Site audience | Monthly visits and traffic history confirm traction before headcount moves. Best effort, not on every row | Public web traffic estimates |
| Decision maker change | The exact start date opens a renegotiation window of a few months | Professional profiles and their history |
| User discussions | Tool comparisons and complaints, where a switch gets prepared | Public threads and reviews |
What a qualified lead looks like here
A SaaS company whose headcount grew 20% in six months, whose job posts require a technology it does not run yet, and whose pricing page moved to usage based billing this year. Three signals crossed on the same company, each one quoted from the page it was read on.
Why most SaaS lists are wrong
Development agencies and consultancies present themselves as software vendors, and subsidiaries inflate the headcount they display. Retriever reads the product pages and the pricing model before a company enters your list, so a service business does not pass as a product company and a 400 person group does not pass as a 40 person team.
Who you get on every row
The founder at small teams, the sales or engineering lead beyond that. Several candidates are ranked and the best one is kept, with the reason it was picked.
- The company, its domain and its headcount with growth
- The quote that qualified it, with the page it came from
- The decision maker, with verified email and LinkedIn profile
- Funding stage and last round, open roles, detected stack
- Any extra column you ask for, researched company by company
Not a database subscription. A research agent.
Retriever
- Where answers come from
- 30+ connected APIs, plus the live web at search time: team size tracked over time, funding announcements and investor records
- What you can ask
- "SaaS companies that switched to usage based pricing this year", or any criterion you can phrase
- Freshness
- What each one shows today: headcount growth, funding, tech stack
- Proof
- Every match comes with the quote and source that qualified it
Static filtering
- Where answers come from
- One dataset, refreshed on its own schedule
- What you can ask
- The fields the provider ships: industry, size, location
- Freshness
- What it looked like at the last refresh
- Proof
- You trust the filter
Questions about finding SaaS companies
How do I find SaaS companies hiring their first sales rep?
Ask for it in a sentence. Retriever reads the job posts SaaS companies publish, keeps the ones opening a first commercial role, and returns each company with the job post that proves it and the founder or sales lead to contact.
Can Retriever find early stage SaaS companies that are not in any database yet?
Yes. A team that launched last quarter has a website, a changelog and job posts long before it has a database record. Retriever reads the source, so early stage vendors come back in the same list as established ones.
How many SaaS companies can Retriever find?
As many as match your criteria. Retriever runs a research job for each search, so the number depends on how narrow the brief is: a broad brief returns thousands of SaaS companies, a three criteria brief returns the few dozen that actually qualify. The narrow one is usually the one worth working.
Can I search SaaS companies by tech stack?
Yes, in two ways: the technologies detectable on the company site, and the technologies required in its job posts. The second is the interesting one, because it shows what the company is about to adopt rather than what it already runs.
Can I search SaaS companies by country, region or city?
Yes, and for SaaS companies the useful distinction is where they sell, not where they are registered. Ask for vendors headquartered in the DACH region, or for vendors whose pricing page lists a local entity in France. Retriever scopes the research either way.
How is Retriever different from filtering a database?
Instead of filtering a static database, Retriever reads the live web for SaaS companies: headcount growth, funding, tech stack. That is how "SaaS companies that switched to usage based pricing this year" becomes a search, and why every row arrives with the line that proves it.