Airbnb

Liquid AI

Airbnb

Airbnb is a two-sided marketplace. Hosts list their homes, apartments, treehouses, or whatever else they've got.

Guests book and pay through the platform. Airbnb takes a cut from both sides — roughly 3% from hosts and up to 14% from guests as a service fee.

That's it. They don't own a single property.

They just built the world's largest hotel chain without owning a single bed.

Liquid AI

Liquid AI builds foundation models, the big general-purpose brains that power chatbots and other AI tools. The difference is efficiency.

Their models, called Liquid Foundation Models, are designed to do more with far less memory and computing power. Companies pay to use them, either through a cloud API or by running the models on their own machines.

That second option matters. A bank or a hospital often cannot send private data to someone else's server.

Liquid AI lets them keep the model in-house. The pitch to a customer is basically this.

You get strong AI without renting a mountain of expensive chips.

Airbnb

In 2007, Brian Chesky and Joe Gebbia were two Rhode Island School of Design grads living in San Francisco and struggling to make rent. A big design conference was coming to town and every hotel was booked solid.

They bought three air mattresses, put up a simple website called AirBed & Breakfast, and charged $80 a night including a homemade breakfast. Three strangers actually showed up.

That was it — the entire origin story of a $75 billion company is three air mattresses and desperation.

They recruited Nathan Blecharczyk, a Harvard-trained engineer Joe knew, to build the real website. But nobody wanted to fund them.

They applied to 15 investors and got rejected by every single one. To keep the company alive during the 2008 election, they designed limited-edition cereal boxes — Obama O's and Cap'n McCain's — and hand-assembled 500 of each.

They sold the Obama O's for $40 a box and made $30,000. That cereal money literally kept Airbnb from dying.

Paul Graham at Y Combinator finally let them into the Winter 2009 batch — reportedly because the cereal stunt proved they were "cockroaches" who would never die. YC invested $20,000.

Within a few months, Sequoia Capital led a $600,000 seed round. The rest is history.

Liquid AI

Liquid AI is a spinout from MIT's Computer Science and Artificial Intelligence Laboratory, better known as CSAIL. The core science came from Ramin Hasani, who spent his PhD studying the nervous system of a tiny worm called C.

elegans. That worm has just 302 neurons and still manages to move, hunt, and react to its world.

Hasani and his collaborators asked a simple question. What if you built an AI that worked more like those neurons and less like a giant static network?

The answer was the liquid neural network, a model whose internal wiring keeps adjusting even after training is done. The team incorporated the company in 2023.

Daniela Rus, who runs CSAIL and is one of the most respected robotics researchers alive, came on as a co-founder. So did Mathias Lechner and Alexander Amini, both longtime research partners of Hasani.

Airbnb

The early growth was pure hustle. Chesky and Gebbia flew to New York — their biggest market — and went door to door visiting hosts.

They noticed the listings with bad photos got no bookings. So they offered free professional photography to every host.

Bookings exploded. That single move — better photos — was probably worth more than any ad campaign they ever ran.

They also pulled one of the most legendary growth hacks in startup history. They reverse-engineered Craigslist's posting system so that Airbnb hosts could cross-post their listings to Craigslist with one click.

Craigslist had millions of people looking for rentals. Airbnb had none.

The hack funneled Craigslist's traffic straight into Airbnb. It was borderline shady and absolutely brilliant.

Word of mouth did the rest. Every guest who had a great stay told their friends.

Every host who made easy money told their neighbors. The product sold itself because both sides benefited immediately.

By 2015, Airbnb had more listings than the top five hotel chains combined.

Liquid AI

The growth angle is size, or the lack of it. Most frontier models are so heavy they only run in data centers.

Liquid AI aims for models light enough to run on a phone, a car, or a factory robot. That opens doors the giants cannot easily reach.

The AMD partnership pushes the same idea. AMD makes chips, and it wants efficient models that show off its hardware.

So AMD led the Series A and became both an investor and a distribution partner. Liquid AI also releases open models to researchers, which builds a following before the sales team ever makes a call.

Airbnb

Regulation. Full stop.

Cities around the world have gone to war with Airbnb. New York, Barcelona, Amsterdam, Paris, Berlin — all have passed laws restricting or outright banning short-term rentals.

The hotel lobby has spent hundreds of millions fighting Airbnb at every level of government. In New York City, a 2023 law essentially banned most Airbnb listings overnight.

Then COVID hit. In March 2020, Airbnb's business dropped 80% in eight weeks.

Chesky had to lay off 1,900 employees — 25% of the company — in a single memo that became famous for how honest it was. He gave everyone 14 weeks of severance and a year of health insurance.

The company burned through its IPO plans and took on $2 billion in emergency debt at brutal interest rates.

But here's the thing — COVID also saved them. People stopped wanting hotel lobbies and started wanting isolated cabins and rural homes.

Airbnb's bookings came roaring back by summer 2020, and the rural/unique stays trend became permanent. They IPO'd in December 2020 at a valuation that stunned everyone.

Liquid AI

The honest problem is Goliath. OpenAI, Google, Anthropic, and Meta have raised tens of billions of dollars between them.

Liquid AI has raised under $300 million. The transformer architecture those giants use is battle-tested and improving fast.

Liquid AI has to prove its different approach not only works but keeps working as models get bigger. Betting against the most successful design in AI history is bold.

It is also the kind of bet that ends in either a great acquisition or a quiet shutdown, with not much room in between.

Airbnb

Airbnb Stays is the core product — book someone's home instead of a hotel. Airbnb Experiences lets you book local activities run by hosts, like cooking classes in Rome or surf lessons in Bali.

Airbnb Luxe is the ultra-premium tier — think private islands, castles, and villas with dedicated concierge service. Airbnb Plus, an inspected-homes tier, was wound down in 2023 after proving too costly to verify at scale.

Categories (launched 2022) lets you browse by vibe — treehouses, lakefront, tiny homes, mansions — instead of just searching by location.

Liquid AI

The main products are the Liquid Foundation Models, a family that ships in several sizes so a customer can pick the smallest one that does the job. The second generation, LFM2, arrived in 2025, including LFM2-VL vision-language models built for phones, laptops, wearables and embedded chips.

The company has leaned hard into on-device AI rather than the cloud. The focus is always the same.

Match the quality of a much larger model while using a fraction of the memory and power.

Airbnb

Y Combinator, Sequoia Capital, Andreessen Horowitz, Greylock Partners, Founders Fund, General Atlantic, Jeff Bezos (personal investment)

Liquid AI

It started with a $37.5 million two-stage seed in December 2023 at a $303 million valuation, from OSS Capital, PagsGroup, Automattic (the company behind WordPress), Samsung Next and others. Angels included GitHub co-founder Tom Preston-Werner, Shopify's Tobi Lütke and Red Hat co-founder Bob Young.

Then AMD Ventures led the $250 million Series A in December 2024, which is unusual because AMD is a chipmaker, not a typical venture fund. That backing gave Liquid AI both money and a hardware ally.

When a major chip company writes the lead check on an efficiency-focused model maker, it signals a bet that the future of AI is not just bigger, it is leaner.