How Tailscale Hit $10M+ ARR With Zero Marketing

How Tailscale Hit $10M+ ARR With Zero Marketing

Episode 46 · June 9, 2025

Bottom Line Up Front

Tailscale founder Avery Pennarun raised $160M and grew to $10M+ ARR without a marketing team — purely through word-of-mouth and product-led growth. This episode covers how a simple networking problem became a billion-dollar company, why starting small beats chasing enterprise, and how COVID accidentally proved Tailscale's thesis. Ideal for early-stage founders building developer tools, infrastructure, or security products who want a real PLG playbook.

Key Facts

Total raised:
$160M, starting from a $3M seed round(Avery Pennarun)
Revenue growth rate:
More than 100% year-over-year since founding(Avery Pennarun)
Primary growth channel:
Word-of-mouth — most visitors Google 'Tailscale' because someone told them(Avery Pennarun)
First $1M ARR:
Reached during 2021, roughly one year after product stabilised(Avery Pennarun)
Head of sales hired:
Not until early 2023 — four years into the company's life(Avery Pennarun)

Avery Pennarun went to Silicon Valley asking for advice and walked out with a $3M seed round. Six years later, Tailscale has raised $160M and is doubling revenue every year — with almost no marketing spend. The secret? Solve a genuinely painful problem, make it delightfully simple, and let word-of-mouth do the rest.

Key Facts

  • Total raised: $160M, starting from a $3M seed round (Avery Pennarun)
  • Revenue growth rate: More than 100% year-over-year since founding (Avery Pennarun)
  • Primary growth channel: Word-of-mouth — most visitors Google 'Tailscale' because someone told them (Avery Pennarun)
  • First $1M ARR: Reached during 2021, roughly one year after product stabilised (Avery Pennarun)
  • Head of sales hired: Not until early 2023 — four years into the company's life (Avery Pennarun)

Finding the Problem Before Building the Product

Tailscale's founders started with a name and a philosophy — make simple things simple — then spent months talking to potential customers to find the specific pain worth solving. Connectivity and security kept surfacing as the root problem beneath every 'dashboard is too hard to build' complaint.

Most founders start with a product idea. Avery Pennarun started with a name. 'Tailscale' — the opposite of internet-scale — captured a philosophy: stop over-engineering simple problems. From that starting point, he and his three co-founders fanned out across their networks, asking one open question: what are you doing that seems more complicated than it should be?

The answer was almost always the same category. As Avery explains, 'The most common category of problems they have is what I call connectivity and security. Connectivity is how do I get the people on my team to even connect to the thing I built? And security is how do I get people who are not on my team to not be able to connect to it.' That 90/10 split — 90% of effort on plumbing, 10% on the actual product — became Tailscale's core insight.

This approach reflects a broader principle Avery applies to every startup: start with a group of people who have a problem, not with a solution looking for a market. The flexibility to adapt the solution matters more than having the right answer on day one.

"I like to start with a problem or a group of people that have a problem. You have to maintain a little bit of flexibility in your head about how are we going to solve this problem." — Avery Pennarun
  • Start with a problem or a people group, not a product idea.
  • Ask open questions — let customers describe the pain in their own words.
  • Look for the problem that keeps recurring across different companies and contexts.
  • Connectivity + security emerged as the universal bottleneck for developer-built tools.

The First Customer That Proved the Thesis

A Canadian bank gave Tailscale its first real test: add two-factor authentication to a legacy Windows banking app without replacing the core system. The solution — a lightweight VPN built on WireGuard that tied into SSO — saved the bank millions and accidentally created a remote-work-ready network before COVID hit.

Avery knew the CEO of a small Canadian bank from earlier business dealings. The CEO had a painful, specific problem: a legacy Windows client-server banking app that couldn't support two-factor authentication, and replacing it would cost millions. Avery proposed wrapping the app in a lightweight VPN that enforced 2FA at the network layer instead. When he went looking for an off-the-shelf solution, nothing fit the requirements.

'There was nothing that works like that,' Avery recalls. So the team built it themselves using WireGuard, a then-new protocol. The bank loved it. Auditors were satisfied. The user experience was clean. Then COVID arrived — and bank employees took their computers home. Because Tailscale was already running as a background VPN, everything kept working perfectly.

As Avery puts it: 'The bank was able to just tell all their employees, look, this desktop machine, take it home, set it up at home, and you'll have to do all your work from here. And it turned out it didn't matter if they were in the office. So they just brought their computers home, and everything kept working exactly like it was.' That moment crystallised the product's real value proposition.

"When I tried to apply one of these things to, like, oh, this is going to be on all the time, even while you're sitting in the office, it's unacceptable. People would demand to turn off the VPN unless it's absolutely needed right now." — Avery Pennarun
"That's when, as founders, we're like, hey, maybe we're onto something." — Avery Pennarun

The PLG Flywheel: From Developer Toy to Enterprise Deal

Tailscale's growth engine was a generous free tier that developers loved personally, which they then brought to work. Investors at Heavybit explained the hybrid motion: build something delightful for individuals, let them become internal champions, then close the enterprise deal when the company comes inbound.

After the bank success, Avery was torn. Pure enterprise sales didn't excite him. Pure developer-tool freemium had no obvious monetisation path. Heavybit, the lead seed investor, reframed the choice. Their guidance: you don't have to pick. Build a product developers love for free, let them bring it to work, and create an enterprise sales process only for the warm inbound leads that result.

Avery describes this as a 'hybrid bottom-up top-down' model — what the industry now calls product-led sales. 'When you're doing this top-down sale, it's only for people who contacted you in the first place. So they're very warm leads. And there's somebody in the company who is what we call an internal champion. They really want you to win, which is super different from your sales team going out and calling people and trying to beg them for a meeting.'

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The economics of the free tier worked because Tailscale's architecture is peer-to-peer. 'Because we don't have to pay for the bytes, all we're paying for is just a little service that helps your devices coordinate with each other. So we can offer Tailscale to a very large number of customers for free without it bankrupting us.' As long as some percentage convert to paid plans, the unit economics hold.

"One bank's CTO sent us an email saying, 'Hey, can I talk to your sales team about deploying Tailscale at my bank?' How'd you hear about Tailscale? His friend runs a network of Airbnbs and uses Tailscale to manage that network." — Avery Pennarun
  • Free tier is sustainable because Tailscale is peer-to-peer — no bandwidth costs.
  • Individual users become internal champions who drive enterprise adoption organically.
  • Enterprise sales stayed 100% inbound for the first four years.
  • First head of sales wasn't hired until early 2023 — four years in.

Word-of-Mouth as the Only Growth Channel

Tailscale did almost no paid marketing for years. Growth came from obsessing over 'time to wow,' answering every support email personally, writing blog posts that repeatedly hit the front page of Hacker News, and building a peer-to-peer architecture that made the free tier economically sustainable at scale.

When Tailscale's first blog post hit the front page of Hacker News, hundreds of people submitted their emails to a 'waiting list' that was really just Avery's inbox. He stayed up 48 hours straight answering every single one, manually adding each user to the system by editing source code. That level of founder-led support created personal relationships with early adopters — who then spread the product through their own networks.

Avery tracks what he calls a 'word-of-mouth multiplier': the ratio of new organic visitors to existing customer visits. The signal he looks for is simple. 'Most of the people visiting our website show up because they Googled the word Tailscale. Well, how does that happen? It's because someone told them about Tailscale.' That metric, combined with retention, became the core KPI.

The content strategy was low-effort but high-impact. Blog posts written by Tailscale engineers kept finding their way to Hacker News front pages. 'The early people at Tailscale are popular blog post writers. We would write something and it would often get to the front page of Hacker News. I still can't explain why they like our content so much, but they do.' No paid distribution. No SEO agency. Just genuine insights that developers shared with each other.

"We've been more than 100% doubling revenue every year since we started. Similarly with user count. And almost all of that can be traced to word-of-mouth." — Avery Pennarun
"Make sure you know how many minutes is it from deciding you want to use Tailscale to 'oh hey, this thing actually works.' Get that down to the smallest number of minutes possible." — Avery Pennarun

When Avery Knew Tailscale Had Product Market Fit

Avery distinguishes 'idea-market fit' — people love the concept but the product breaks — from true product market fit, which arrived around 2021 when customers started buying with minimal friction. Enterprise PMF came even later, around 2023–2024, as Tailscale moved upmarket to larger deals.

After the seed round, Tailscale had what Avery calls 'idea-market fit': clear demand, broken product. 'The thing you currently built almost certainly does not solve the problem,' he says. The shift to real product market fit required two things: a reliable fallback network (the 'Derp' system, launched April 2020) that took connection success rates from ~80% to ~100%, and enough documentation that users could actually understand what to do with the product.

True PMF, in Avery's definition, is when 'people are showing up and just buying the thing almost without you having to do anything and demanding it.' That tipping point arrived in 2021. But he's careful to note that PMF is not a single milestone — it compounds. 'We keep finding new product market fit with bigger and bigger customers. Each scale size of customer you reach has different requirements of the product. We're just slowly working our way into those higher and higher levels.'

The one thing Tailscale never experienced was existential doubt. 'With Tailscale, we actually never really had that experience. The idea-market fit was so strong. It's like, all we need to do is just build this thing and people love it.'

"Product market fit for me is when people are showing up and just buying the thing almost without you having to do anything and demanding it. I would say 2021-ish was when we started seeing that." — Avery Pennarun
"If you're building something for somebody, that means you've got product market fit for one person. And that's way better than product market fit for zero. You just go from one to two to four to eight to 16." — Avery Pennarun

Idea-Market Fit vs. Product Market Fit vs. Enterprise PMF

StageSignalTailscale Milestone
Idea-Market FitPeople love the concept; product is unreliable2019–early 2020: hundreds on waiting list, >50% failure rate
Product Market FitCustomers buy with minimal friction; word-of-mouth accelerates2021: hit $1M ARR, inbound demand self-sustaining
Enterprise PMFLarge organisations adopt with structured procurementLate 2023–mid 2024: first million-dollar deals closing

Frequently Asked Questions

How did Tailscale grow to $10M+ ARR without a marketing team?

According to Avery Pennarun, almost all of Tailscale's growth traces back to word-of-mouth. The team obsessed over 'time to wow,' answered every support email personally in the early days, and wrote blog posts that consistently reached Hacker News's front page. A peer-to-peer architecture made a generous free tier economically viable, fuelling organic developer adoption.

What is Tailscale and how does it work?

Tailscale connects any device to any other device regardless of firewalls or network configuration. As Avery explains, it makes direct peer-to-peer connections using WireGuard — traffic doesn't route through the cloud. One customer described it as making 'the Internet work the way you thought it worked before you found out how the Internet actually worked.'

When should a PLG startup add enterprise sales?

Avery Pennarun recommends waiting until enterprise deals come inbound — driven by internal champions who already love the product. Tailscale didn't hire a head of sales until early 2023, four years after founding. The key signal: warm leads who reach out because a colleague recommended the product, not because a sales team cold-called them.

What is Avery Pennarun's top advice for early-stage founders?

Listen more than you pitch. Avery's core advice: 'The thing you currently built almost certainly does not solve the problem. Listen really carefully. They can describe their problem in a lot of detail and figure out how you can help them solve their problem better.' In the early days, individual conversations outweigh any amount of data or analytics.

Tailscale's story is a masterclass in starting small, listening obsessively, and letting a great product compound through word-of-mouth. Avery Pennarun's journey from a Hacker News waiting list to a $2B company proves that the biggest opportunities often hide inside the simplest problems. Hear the full conversation on The Product Market Fit Show.

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