How do you go from a pricing experiment inside a failing product to $3.6 million in annual revenue with 10,000 customers — in under two years and with zero paid marketing?

Eugene Cheah is the co-founder and CEO of Featherless.ai, the largest open source LLM inference provider on Hugging Face. He co-created RWKV, the first attention-free AI architecture under the Linux Foundation, and today runs a 27-person team serving customers that pay anywhere from $25 a month to $2 million a year.

You'll learn:

• Why Featherless started as an accident — a pricing experiment that outperformed the original company within days
• How they grew to 10,000 customers with zero paid marketing using only Reddit posts to AI communities
• The enterprise sales motion that closes $1 to $2 million per year contracts by showing startups how to cut their OpenAI or Anthropic bills in half
• Why supporting 6,700 models versus competitors' 100 is the moat — and why no one else is doing it
• How the RWKV architecture has the potential to reduce AI inference costs by over 1,000x compared to today's transformer models
• Why the bottom 50% of AI model usage — the fine-tuned, niche, non-English models — is where the real money is hiding
• What happened when servers caught fire from user growth and the team had to add capacity faster than they could hire
• How a $20 million Series A in December 2025 finally gave them enough server capacity to breathe
• Why Eugene believes AI models today are massively over-parameterized — and what a human brain tells us about where efficiency is actually going
• The refund guarantee Eugene made live on camera and what it says about their confidence in the product

Connect: YouTube: youtube.com/@NathanLatkawatch Featherless: featherless.ai Founderpath: founderpath.com