Top 50 High-Growth Companies by Headcount Tracking Software and Post-Money Valuation, 2026 Update
If you are looking for headcount tracking software to spot growth before the rest of the market does, this is the practical play: track hiring and headcount changes next to funding and valuation, not in isolation. I still like headcount as a signal because teams can fake a lot of things, but payroll is harder to fake for long.
From what I’ve seen, HR software isn’t about the number of employees; it’s about when complexity starts costing time and clarity. Spreadsheets and emails work early on, but once documents, approvals, and compliance start piling up, HR teams spend more time managing chaos than people.
That quote is about internal HR ops, but the same logic applies to investors and GTM teams. Once you are tracking more than a handful of companies, spreadsheets stop being analysis and start becoming clerical work.
2026 callout: Proxycurl has been sunset. I’m keeping the useful historical parts of this article intact because the workflow still matters, but the founder behind Proxycurl is now building NinjaPear. If you want the modern replacement for headcount tracking software workflows, use NinjaPear Company API, specifically the Employee Count endpoint at
/api/v1/company/employee-count.
Global Investment Scenario in 2024
2024 saw a sharp decline in global investments compared to 2023. A sign of a cautious, less confident approach from investors. By the third quarter, the number of funding rounds decreased by 25% compared to the same period in 2023.
The first quarter was promising with 13,029 funding rounds, the highest of the year. Venture funding in particular reached $66.5 billion by the third quarter. That's no feat, because it's down by 15% compared to the numbers in 2023.
Crunchbase reports start-up funding went down by a whopping 63% from what it was in 2023, while early-stage funding fell over 20% year over year. However, late-stage funding doubled year over year.
AI startups operating across multiple sectors saw a huge push, as it reached a monthly peak of $14 billion in November of 2024.
The U.S. in particular also faced their fair share of challenges, with declining funding round rates experiencing a drop of 28% from what it was last year. More than 3,000 tech companies went out of business despite being backed by private ventures.
The 2025 Outlook
Experts predict a continuation of the downward trend outside of the US. The European Central Bank is likely to cut the deposit rate to 1.5% by the end of the year to lighten the tariff weight.
For the US, things look better. Capital markets are predicted to elevate as Trump's administration takes over. The US economy is expected to grow steadily at 2%, even if things outside the US look down.
As an investor, you might be distraught with what 2024 brought in, going into 2025. It just stresses the need for decisive, actionable data.
The 2026 Outlook
2026 looks better than 2024 did, but not in the clean, broad-based way people love to pretend on LinkedIn. The recovery is uneven. That matters because headcount tracking software is most useful in uneven markets, when the winners separate early and the laggards get very good at storytelling.
Wellington’s 2026 venture outlook says liquidity is finally returning after two years of capital scarcity, with IPO volumes up 20% and proceeds up 84% over the prior 12 months. It also points to global M&A volume up 40% year over year in 2025, and a secondaries market projected to exceed $210 billion. Their summary is the right one: capital is returning, but success depends on selectivity, access, and underwriting discipline.
That lines up with what I would watch operationally:
- Fresh employee count, because a company that is still hiring into product, sales, or customer success in a selective market is telling you something real.
- Funding history, because a hiring spike right after a round means something different from a hiring spike 18 months into a dry spell.
- Company updates, because headcount without context can fool you.
This is also why I like NinjaPear’s workflow better for 2026. The first object is the company website, not a LinkedIn URL. That is a much saner canonical key if you are building durable internal tools.
How Post Money Valuation and Headcount tracking software help evaluate investment opportunities
Post money valuation gives you tangible insights into how a company utilizes its capital to scale its operations. Consistent growth trends post-funding indicate that the company is able to use its new resources to generate returns and build sustainable momentum.
Pre-money valuations are considered to determine the amount of equity investors need to secure in exchange for any capital injection.
For instance, let's assume a company has a $10 million pre-money valuation. If you put $5 million into the company, it creates a post-money valuation of $15 million. So in a very basic scenario, the investor would then have a 33.33% interest in the company, since $5 million is equal to one-third of the post-money valuation of $15 million. This is assuming the investors and the entrepreneurs agree on the valuations without negotiations. Negotiations on the company's assets and intellectual property determine the actual value.
Headcount tracking software is how you operationalize the signal instead of talking about it abstractly. It helps you analyze the number of employees in an organization over time, spot hiring surges, and pinpoint periods of low growth or contraction. A positive headcount trend, particularly in strategic roles like sales, marketing, and product development, reflects a proactive approach to scaling.
Together, these metrics give investors a clearer picture of a company's trajectory and its potential to deliver significant returns.
Now, I am confident you are a competent investor who knows how to do research before investing. But try to do all of that manually, and you are signing up for clerical hell.
Let's take a look at the top 50 high-growth companies by headcount tracking software and post-money valuation in 2024 that I originally pulled in mere minutes using Proxycurl. I'll keep that historical data below because it is still useful. But if I were doing this today in 2026, I would use NinjaPear Company API and its Employee Count endpoint, which returns fresh headcount via real-time web search for 2 credits per call.
Top 50 high-growth companies by headcount tracking software and post-money valuation
| Rank | Company | 2022 Headcount | 2024 Headcount | Total Funding | Post-Money Valuation | Estimated Revenue |
|---|---|---|---|---|---|---|
| 1 | Personio | 1202 | 1890 | $724.3M | $8.5B | $210.1M |
| 2 | Mews | 359 | 1046 | $442.3M | $1.2B | $234.6M |
| 3 | Apollo | 190 | 610 | $251.3M | $1.6B | $100M |
| 4 | Vanta | 221 | 566 | $353M | $2.45B | $105M |
| 5 | Drata | 180 | 522 | $328.2M | $2B | $63M |
| 6 | Pigment | 102 | 402 | $396M | $1B | $79.8M |
| 7 | Multiplier | 89 | 369 | $77.2M | $400M | $21M |
| 8 | FactorialHR | 445 | 708 | $300M | $1B | $200M |
| 9 | ZipHQ | 73 | 306 | $333M | $2.2B | $63M |
| 10 | Dataiku | 992 | 1188 | $846M | $3.70B | $280M |
| 11 | Retool | 172 | 337 | $135M | $3.2B | $65M |
| 12 | Leadsquared | 992 | 1148 | $188M | $1B | $252M |
| 13 | Wasabi | 177 | 322 | $358M | $1.1B | $21M |
| 14 | CleverTap | 429 | 542 | $175M | $775M | $126M |
| 15 | Amenitiz | 147 | 253 | $38.6M | $100M | $21M |
| 16 | Owner | 57 | 162 | $15M | $150M | $10M |
| 17 | AppOmni | 108 | 205 | $123M | $270M | $29M |
| 18 | Deepki | 133 | 229 | $172M | $150M | $22M |
| 19 | Metronome | 23 | 115 | $78M | $200M | $14.7M |
| 20 | Flip | 90 | 179 | <$5M | $500M | $34M |
| 21 | Monte Carlo Data | 98 | 186 | $236M | $1.6B | $43M |
| 22 | GWI | 358 | 443 | $40M | $850M | $229M |
| 23 | Spendflo | 15 | 90 | $15.4M | $80M | $17.9M |
| 24 | Zesty | 97 | 175 | $116.6M | $75M | $20.2M |
| 25 | Aisera | 171 | 249 | $164M | $1.2B | $42M |
| 26 | Paddle | 245 | 317 | $283.7M | $1.4B | $67.2M |
| 27 | Optibus | 263 | 333 | $259M | $1.3B | $63M |
| 28 | Merge | 36 | 104 | $74.5M | $225M | $25.6M |
| 29 | Lumos | 29 | 97 | $65M | $100M | $13.7M |
| 30 | Descript | 77 | 142 | $95M | $550M | $21M |
| 31 | InstaDeep | 146 | 211 | $107M | $400M | $31.5M |
| 32 | Airwallex | 646 | 735 | $702M | $6.0B | $252.1M |
| 33 | Sardine | 42 | 103 | $75.6M | $170M | $18.7M |
| 34 | WeTravel | 62 | 126 | $27M | $130M | $17.5M |
| 35 | Hebbia | 12 | 67 | $160M | $710M | $9.5M |
| 36 | Assembled | 49 | 103 | $70.7M | $130M | $13.2M |
| 37 | Birdie | 102 | 150 | $49.4M | $125M | $21M |
| 38 | Zenskar | 0 | 48 | $6.5M | <$5M | <$5M |
| 39 | Thanks Ben | 29 | 76 | $18.5M | <$5M | <$5M |
| 40 | Wati | 26 | 70 | $88M | $200M | $31.5M |
| 41 | Boulevard | 203 | 250 | $108M | $400M | $36.3M |
| 42 | Mangomint | 18 | 64 | $48M | $100M | <$5M |
| 43 | Remofirst | 7 | 50 | $39.1M | $40M | $22.3M |
| 44 | Ardoq | 147 | 188 | $161.4M | $125M | <$5M |
| 45 | OneSignal | 116 | 155 | $84.3M | $500M | $29.4M |
| 46 | SeamlessHR | 94 | 136 | $10M | $60M | $27.3M |
| 47 | Mesh | 98 | 135 | $123M | $70M | $24.8M |
| 48 | Nilus | 0 | 39 | $8.6M | $25M | <$5M |
| 49 | Zilliz | 39 | 77 | $123M | $1B | $21M |
| 50 | Arc | 16 | 49 | $20M | $500M | $6.3M |
What this table still gets right
I am not rewriting the historical ranking because the point of it still holds: headcount growth plus funding context is one of the fastest ways to cut through founder narrative.
What I would add in 2026 is a simple rule set:
- Ignore raw hiring growth with no funding context.
- Ignore funding with flat or shrinking team size unless margins clearly improved.
- Check whether hiring is concentrated in engineering, sales, or support.
- Re-check monthly, not yearly, because annual snapshots hide a lot of mess.
Users have been saying the same thing about timing signals for years:
MOST PEOPLE DON’T HAVE A LEAD PROBLEM. They have a finding the right people at the right time problem. This fixes that. Paste your website. and it literally goes out and: > Finds companies already looking for what you sell > Tracks hiring signals, competitors, intent > Writes personalized outreach for you...
— Aman (@Amank1412) Tue May 12 14:13:38 +0000 2026
That tweet is outbound-flavored, but again, same core signal. Right people. Right company. Right time.
1. Personio
Based in Munich, Germany, Personio is an all-in-one HR software platform designed for small and medium-sized businesses. It offers solutions for recruiting, payroll, employee management, and more.
Personio secured a total funding of $724 million over 7 rounds. They subsequently added 688 new employees from 2022 to 2024, the largest headcount growth in the period.
Top employee location percentages:
- Germany 59.5% at 1104
- Ireland 13.4% at 248
- Spain 9.7% at 180

Personio Geographical Employee Composition
Here's what the workforce distribution by role looks like:
- Sales 31.2% at 577
- Developers 22% with 408
- Operations 21.1% with 391

Personio Workforce Distribution by Role
2. Mews
Mews is a hospitality management software company that automates operations for hotels and hostels. Their cloud-based system handles reservations, check-ins, payments, and guest management.
This company secured a total funding of $442.3 million in over 8 funding rounds. They added 687 new employees from 2022 to 2024.
Top employee location percentages:
- Czech Republic 24.3% at 252
- United Kingdom 19.5% at 202
- Spain 12.7% at 132

Mews Geographical Employee Composition
Here's what the workforce distribution by role looks like at Mews:
- Operations 29.9% at 310
- Developers 28.9% at 299
- Sales 13% at 135
One interesting find was the position of "Canine Executive Officer" at Mews.

Mews Workforce Distribution by Role
3. Apollo.io
Apollo.io is a sales engagement platform that helps businesses streamline their sales processes by offering prospecting tools, analytics, and automation.
Over 6 rounds of funding, Apollo.io raised $251.3 million. Their new funds allowed them to add 420 new employees from 2022 to 2024.
Top employee location percentage:
- United States 52.3% at 304
- India 19.8% at 115
- Colombia 5.2% at 30

Apollo Geographical Employee Composition
Workforce distribution by role at Apollo:
- Developer 31.8% at 184
- Sales 22.3% at 129
- Operations 16.1% at 93

Apollo Workforce Distribution by Role
4. Vanta
Based in California, Vanta specializes in automating security and compliance processes, making it easier for businesses to obtain certifications like SOC 2, ISO 27001, and GDPR.
Vanta secured $353 million of total funding over 6 funding rounds. This allowed them to recruit 345 new employees from 2022 to 2024.
Top employee location percentages:
- United States at 83.8% with 451
- Ireland 7.6% at 41
- Australia 3.2% at 17

Vanta Geographical Employee Composition
Here's what Vanta's workforce distribution looks like:
- Sales 30.1% at 161
- Developers 27.5% at 147
- Operations 17.6% at 94

Vanta Workforce Distribution by Role
5. Drata
Similar to Vanta, Drata is a continuous security and compliance automation platform that helps companies achieve and maintain regulatory standards such as SOC 2, GDPR, and ISO 27001.
With over 4 funding rounds, Drata raised over $328.2 million. From 2022 to 2024, they were able to add 342 new employees.
Top employee location percentages:
- United States 78.6% at 392
- Mexico 10% at 50
- United Kingdom 4.6% at 23

Drata Geographical Employee Composition
Workforce distribution by role at Drata:
- Developer 30.8% at 153
- Sales 24.2% at 120
- Operations 20.4% at 101

Drata Workforce Distribution by Role
6. Pigment
A business planning and forecasting platform, Pigment helps organizations analyze data, model scenarios, and make informed decisions.
Pigment raised $396 million in total, over 6 funding rounds, financing 300 new employees from 2022 to 2024.
Top employee location percentages:
- France 44.8% at 173
- United States 25.1% at 97
- United Kingdom 18.4% at 71

Pigment Geographical Employee Composition
Here's what the workforce distribution looks like at Pigment:
- Sales 25.5% at 97
- Developers 22% at 84
- Operations 18.6% at 71

Pigment Workforce Distribution by Role
7. Multiplier
Multiplier offers global employment solutions, allowing businesses to hire and manage international teams with ease. The platform handles payroll, compliance, and employee benefits across multiple countries.
Multiplier secured a total funding of $77.2 million in over 4 funding rounds. From 2022 to 2024, they added 280 new employees.
Top employee location percentages:
- India 53.1% at 189
- United States 11% at 39
- Singapore 7.6% at 27

Multiplier Geographical Employee Composition
Workforce distribution by role at Multiplier:
- Operations 29.5% at 103
- Developers 18.6% at 65
- Sales 17.2% at 60

Multiplier Workforce Distribution by Role
8. Factorial
Factorial is an HR management platform catering to small and medium-sized businesses. It simplifies HR tasks such as time tracking, performance reviews, and payroll.
In over 6 funding rounds, Factorial secured $299.9 million, most recently in April of 2024 for $76.8M. They subsequently added 263 new employees from 2022 to 2024.
Top employee location percentages:
- Spain 77.1% at 541
- Brazil 5.4% at 38
- Mexico 5.3% at 37

Factorial Geographical Employee Composition
Workforce distribution by role at Factorial:
- Sales 42.8% at 298
- HR 19.3% at 134
- Marketing 11.8% at 82

Factorial Workforce Distribution by Role
9. ZipHQ
ZipHQ is a procurement management software company. By automating workflows, managing vendor relationships, and improving spend visibility, ZipHQ helps organizations save time and reduce costs.
With over 6 funding rounds, ZipHQ secured a total funding amount of $371.3 million. The company added 233 new employees from 2022 to 2024.
Top employee location percentages:
- United States 83.2% at 247
- Canada 12.8% at 38
- United Kingdom 2.69% at 8
Have to give props to ZipHQ for having an employee in Antarctica. Must be a brag.

ZipHQ Geographical Employee Composition
Here's what ZipHQ's workforce breakdown looks like:
- Developers 37.6% at 111
- Sales 25.1% at 74
- Operations 12.5% at 37

ZipHQ Workforce Distribution by Role
10. Dataiku
Dataiku is a data science and machine learning platform that enables businesses to analyze large datasets, build predictive models, and operationalize AI solutions.
Dataiku secured a total funding of $846.8 million, over 11 funding rounds. From 2022 to 2024, they added over 196 new employees.
Top employee location percentages:
- United States 36.9% at 427
- France 31.5% at 364
- United Kingdom 10% at 116

Dataiku Geographical Employee Composition
Workforce breakdown by role in Dataiku:
- Developers 27.6% at 314
- Sales 26.8% at 305
- Operations 19.7% at 224

Dataiku Workforce Distribution by Role
Best headcount tracking software options
This article started as an investor analysis piece, not a software roundup. But the keyword here is headcount tracking software, so let me make the practical layer explicit.
If you are comparing 3+ options, you need a table. So here you go.
| Tool | Best for | Data freshness | Pricing clarity | API | Ease of use | Average |
|---|---|---|---|---|---|---|
| NinjaPear Employee Count | Fresh company headcount via API | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐☆ | 4.75/5 |
| LinkedIn manually | Spot checks | ⭐⭐☆☆☆ | ⭐⭐⭐⭐⭐ | ⭐☆☆☆☆ | ⭐⭐☆☆☆ | 2.50/5 |
| Crunchbase manually | Funding context | ⭐⭐☆☆☆ | ⭐⭐⭐☆☆ | ⭐⭐☆☆☆ | ⭐⭐⭐⭐☆ | 2.75/5 |
| Spreadsheet only | Very small watchlists | ⭐☆☆☆☆ | ⭐⭐⭐⭐⭐ | ⭐☆☆☆☆ | ⭐⭐☆☆☆ | 2.00/5 |
My opinionated take:
- NinjaPear is the best fit if you want an actual repeatable workflow. Fresh count, API access, website-first identity model.
- LinkedIn is still useful for spot checks, but I would never build a durable internal process around it.
- Crunchbase helps with the funding side, not the headcount side.
- Spreadsheets are fine until you cross from 5 companies into 50. Then they become self-harm.
This frustration shows up in public too:
spreadsheets and emails work in the beginning and you feel like it’s all under control. then slowly leaves are in whatsapp, docs in drive, some info in sheets and you’re just trying to remember who approved what.
Different domain, same disease.
How to source data for post money valuation and headcount tracking software
You can manually search for each company and click through hundreds of job portals, company pages, and industry publications, hoping you'll find everything you need.
Or you can use software that was built for this.
Historically, the source of the original dataset in this article was Proxycurl. That matters because I do not want to pretend it never existed. But Proxycurl is now shut down, and the founder behind it moved on to NinjaPear after the LinkedIn lawsuit in 2025. So if you are reading this in 2026, do not build new workflows on old Proxycurl docs.
Use NinjaPear instead.
With NinjaPear Company API, I would now pull:
Company Detailsfor core company dataEmployee Countfor fresh headcountCompany Fundingfor funding rounds and totalsCompany Updatesfor timing context
A sample Employee Count API call now looks like this:
import requests
api_key = 'YOUR_API_KEY'
headers = {'Authorization': 'Bearer ' + api_key}
api_endpoint = 'https://nubela.co/api/v1/company/employee-count'
params = {'website': 'https://stripe.com'}
response = requests.get(api_endpoint, params=params, headers=headers)
print(response.json())
Example response:
{
"employee_count": 8000
}
And if you want broader company context:
import requests
api_key = 'YOUR_API_KEY'
headers = {'Authorization': 'Bearer ' + api_key}
api_endpoint = 'https://nubela.co/api/v1/company/details'
params = {'website': 'https://stripe.com'}
response = requests.get(api_endpoint, params=params, headers=headers)
print(response.json())
Example response excerpt:
{
"name": "Stripe",
"founded_year": 2010,
"employee_count": 8500,
"industry": 40201020,
"executives": [
{"name": "Patrick Collison", "title": "Co-founder and CEO"}
]
}
That website-first model is the key difference. When I was running FluxoMetric, I burned ~$4K/mo on tools that gave me worse data than a free browser workflow plus a decent analyst. What I needed was not more profile pages. I needed a stable company object and a repeatable way to poll it.
NinjaPear is much closer to that.
LinkedIn, properly said
One admin note I agree with completely: old articles used to dance around the word LinkedIn with weird euphemisms. That was a product-era artifact. In 2026, the honest wording is simpler.
Proxycurl relied heavily on LinkedIn-shaped workflows. That is part of why the legal risk became existential. NinjaPear does not scrape LinkedIn and is built around public-web company and employee data instead.
That is not just legal housekeeping. It changes how you design the system.
- LinkedIn URL as the canonical key: fragile
- Company website as the canonical key: better
- Fresh employee count via real-time web search: better
- Funding plus updates plus headcount in one workflow: much better
Make data-driven investment decisions with headcount tracking software
As 2026 rolls on, I still think investors need to go the extra mile to make sound decisions. Scouting high-growth companies using headcount growth and post-money valuation is still valid. If anything, it matters more in a selective market where capital is back, but not for everybody.
And yes, the original article used Proxycurl. That was true then. It is not the move now.
If I were rebuilding this workflow today, I would use:
- NinjaPear Company API for company details, funding, and employee count
- Monitor API if I wanted company change data in an RSS workflow
- Prospector if I wanted a spreadsheet UI instead of raw API calls
One more public signal on why timing beats static lists:
Tiny SaaS products with lean teams can throw off absurd margins. Live on @acquiredotcom: profitable launch waitlist platform helping startups launch viral waitlists with ~3000 customers. > $170K ARR > $178K TTM revenue > $165K TTM profit
— Andrew Gazdecki (@agazdecki) Mon May 18 20:14:12 +0000 2026
That is the caveat with headcount. Bigger is not automatically better. Sometimes lean teams are exactly the point. Which is why I never look at employee count alone. I look at headcount relative to funding, revenue, and what the company is actually shipping.
If you want a clean next step, start small. Track 20 companies monthly. Pull employee count, funding events, and updates. Then rank changes, not companies. That is where the edge usually is. And if you want to do that without building the plumbing yourself, start with NinjaPear’s free trial and hit the Employee Count endpoint first.