The Twenty Minute VCElevenLabs CEO/Co-Founder, Mati Staniszewski:The Untold Story of Europe’s Fastest Growing AI Startup
At a glance
WHAT IT’S REALLY ABOUT
ElevenLabs’ meteoric rise: Europe’s voice-AI rocket to $200M ARR
- Harry Stebbings interviews ElevenLabs CEO and co‑founder Mati Staniszewski on building one of the fastest‑growing AI startups from Europe, going from beta launch in January 2023 to over $200M ARR in under two years.
- Mati explains ElevenLabs’ origins in bad Polish movie dubbing, their decision to build proprietary voice models, and the strategic choice to be a global company built from Europe with a small, high‑density team.
- He walks through difficult early fundraising, landing top‑tier US investors like a16z, Sequoia, and Nat Friedman/Daniel Gross, and details their philosophy on speed of execution, product over PR, and pairing research excellence with focused use cases.
- The conversation also covers culture, hiring, talent retention, competition with OpenAI, unit economics, infrastructure strategy, and the future of agentic voice platforms for call centers and customer support.
IDEAS WORTH REMEMBERING
5 ideasPair deep research with a sharp, evolving product focus.
ElevenLabs started with a dubbing idea, discovered tepid demand, and pivoted to narration/voice‑over where creators had immediate, painful problems—while still using that work to build the technical foundation for dubbing and broader voice AI.
Use proprietary models when off‑the‑shelf quality clearly limits the product.
In 2021–2022, existing TTS models were obviously subpar, so ElevenLabs invested in its own text‑to‑speech, speech‑to‑text, and now music models, gaining a 6–12 month quality lead that underpins their platform and differentiates them from API‑wrappers.
Time funding and PR to real product milestones, not vanity events.
They routinely delayed funding announcements until they could pair them with substantive product launches; traditional press drove little user growth, whereas niche channels (Discord, Reddit, Hacker News, AI newsletters, YouTubers) were far more effective.
Speed of execution across research, product, and fundraising is a core moat.
Mati repeatedly emphasizes that in a commoditizing AI landscape, moving faster than incumbents—shipping models, products, and deals quickly—is often more decisive than any single technical or capital advantage.
Small, autonomous teams with high talent density beat large headcount.
Even at ~250 people, ElevenLabs is organized into ~20 small, product‑oriented squads (5–10 people), avoids formal titles, and lets leadership emerge by impact, which preserves ownership, speed, and cross‑functional learning.
WORDS WORTH SAVING
5 quotesPre‑seed was tough. Pre‑seed was hard. We spoke with between 30 to 50 investors.
— Mati Staniszewski
They definitely will do something, but I think they lack the genius that I’m happy my co‑founder and the team has.
— Mati Staniszewski (on OpenAI as a competitor)
We did 20 months to 100 [million], and then around 10 months to 200.
— Mati Staniszewski
More people frequently doesn't fix the problem. You don't need that many people to do something special.
— Mati Staniszewski
You can build a company from Europe at the global scale.
— Mati Staniszewski
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