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
Podden och tillhörande omslagsbild på den här sidan tillhör
Nathan Latka. Innehållet i podden är skapat av Nathan Latka och inte av,
eller tillsammans med, Poddtoppen.
