Tech

StartupFactory

Y Combinator, tech’s unicorn builder extraordinaire

YC Sunday cover

The world’s most important accelerator is deep into AI

P (YC) = 1

Many things get described as “a certainty” or “a guarantee” when in fact the difference between 90% likely, 99% likely, and 99.9% likely — which is significant — is often ignored.

With that disclaimer in mind, I am as close to 100% certain as it is possible to be that if you have been even a moderate internet user for more than a few years, you’ve come into contact with, either directly or indirectly, a portfolio company of the world’s pre-eminent startup accelerator: Y Combinator (YC).

Indeed, if you’ve ever bought anything on the internet that uses Stripe, ordered food on an app (DoorDash), scrolled Reddit, watched video games on Twitch, visited any of the 400,000+ websites hosted on Webflow, stayed in an Airbnb, ordered groceries on Instacart, bought crypto on Coinbase, shared a file on Dropbox, or interacted with any of the 2.2 million businesses that use Zapier’s software to automate their processes, then you’ve come into contact with a YC company. And, if by some utter miracle you haven’t done any of those things, there’s another ~5,000 companies backed by YC that you could have crossed paths with.

So how did YC, which started with just $200k in capital from its founders who “wanted to learn how to be angel investors”, become the most influential early-stage investing firm in the world?

Like similar accelerators, the core YC program involves a bootcamp of sorts. For 3 months founders live and breathe all things “startup”, working hard to make as much progress on their companies before Demo Day — when the latest crop of would-be-world-changers pitch to investors and media.

Startup factory

The secret of YC’s unique success is debated. But a combination of good judgment, a focus on technical founders making something people want (YC’s mantra), a culture of mentorship and collaboration, standardized investing terms, and a good old-fashioned dose of “right time and right place” can certainly lay some claim to the $600B+ value that’s now attributed to YC-backed startups.

The founders selected tend to be at a very early stage — the winter 2023 batch included 52% of applicants with only an idea and 77% of the batch had zero revenue before starting the program. Investing in those sorts of companies is inherently about as risky as it gets… which is why the firm never puts all of its eggs in one basket.

After backing just 8 companies in its first batch...
YC cohorts started getting bigger...
and the hit investments started stacking up.
From 2017 to 2019, nearly 900 startups went through YC
Since 2020, more than 2500+ startups have done YC

By investing in hundreds of companies every year, YC maximizes its odds of beating the golden law that governs much of early-stage investing: most investments will fail, but even a small number of hits can make it all worth it — and YC has certainly had its share of hits. Indeed, as YC companies went on to have success, the company’s twice-yearly programs, one in the summer and one in the winter, fell into a virtuous circle. Once YC alumni had success, hungry founders started applying in their thousands… YC got to pick the best ones for its program, investors wanted to back YC graduates… those companies were more likely to be successful… and so on and so forth.

Make something people want

Indeed, YC’s reputation now precedes it, enabling its partners to be incredibly selective: its most recent batch took in less than 1% of applicants. What those applicants are working on is a good signal for what the prevailing wisdom of Silicon Valley believes will define our future.

The conclusion from looking at the data? It’s all about AI. Indeed, per our calculations, a staggering 64% of the 2024 winter batch of YC had "AI" or “AI-related” tags in their Y Combinator company profile in the company’s startup directory.

YC’s cohorts are now dominated by startups working on AI

YC’s own definition of AI-focused was more diluted, citing “at least 50%” of the most recent batch building around it in one form or another. It’s also likely that some of those startups aren’t really doing anything groundbreaking in AI, but just incorporating some AI into their product strategically — which would be hard to blame them for considering that investors are blindly throwing money at anything that looks like AI. Whichever way you slice it, AI is the common thread.

So, what are those founders working on? 

Well, there’s a startup that wants to build an “AI creative suite for the fashion industry”, one working on “AI-powered PowerPoint”, one doing “Professional Quality AI Music”, one building “AI for Robot Arms in Factories” and one whose product offer is “Type a script, get a movie” (paging Hollywood’s unions?).

Interestingly, you can track tech hype cycles throughout YC cohorts. In 2022, when “Crypto / Web 3” was the hottest thing to work on, 33 YC startups were working in the space — in the most recent batch there was only 1.

The Bookface effect

Like so many walks of life, success in tech is rarely only about what you know, but who you know. Getting that first customer, being introduced to a potential key hire, finding that friend of a friend who can point you in the right technical direction… Y Combinator’s true superpower is now in its network. At the center of its community is Bookface: YC’s internal social network, which in the words of Garry Tan, YC’s CEO & President, was needed because “because YC had funded larger batches and the hardest part of a community is knowing who is in it and who you can trust and ask for help”. 

That community is increasingly influential and vast. YC’s original 4 founders, Paul Graham, Jessica Livingstone, Robert Morris, and Trevor Blackwell have all since moved on. But, the company’s leadership has been a who’s who of tech power players even when they weren't leading it: most notable being Sam Altman, who led YC before becoming the fired-then-rehired CEO of OpenAI.

Who wants to be an entrepreneur?

It would be overly charitable to give YC or its peers (of which there are many) sole credit for the tech startup ecosystem that flourished in the last 20 years, but it certainly played a part. Its rise has coincided with 20-something billionaires fronting magazine covers, technology companies becoming the driving force in the American economy and tech investing entering the mainstream in TV, movies and books. Put simply, America seems to revere entrepreneurs more than ever and the venture capital industry has boomed as a result (per data from the NVCA).

VC AUM has boomed

Going SAFE

Apart from its direct output, arguably YC’s most important contribution was the standardized investing documents that it introduced which made investing in two-people-who-have-a-cool-idea a little less legally onerous.

Initially, YC offered a straightforward $20K in exchange for around a 6% equity stake. Today, YC’s pockets are (a lot) deeper, and the proposition is $500K split into two parts — a $125K Simple Agreement for Future Equity (SAFE) for 7% equity and a further $375K that converts at terms realized in the future. The “SAFE” is a YC invention from 2013 that allows investors to cut a check now, which converts into equity at a later milestone. Standardizing the offer and the legal docs skips the messy part — negotiating a price and valuation — with each individual company and has since been adopted by a number of other early-stage investors.

Now, nearly two decades on from its first group of hackers, YC is the force in early-stage investing, particularly in San Francisco. At the end of March, Forbes reported that the company was raising $2 billion for its bi-annual accelerator and follow-on investments. That’s 10,000x the capital that the founders first put in.

Y Combinator is a neon orange big tent tech church, welcoming anyone under its roof who wants to worship at the altar of two things: (1) Building technology that changes the world, (2) Making a lot of money. It’s gotten pretty good at both.

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Meta reportedly strikes multibillion-dollar AI chip deal with Google as it struggles to design its own

Meta has signed a deal with Google to rent tensor processing units to develop new AI models and is in talks to buy the chips for its data centers, The Information reports.

The agreement comes on top of a recently announced “multi-generational” partnership with Nvidia and a chip supply deal with Advanced Micro Devices that could be worth more than $100 billion, as Meta scrapped its most advanced in-house AI training chip amid design challenges.

A Meta deal with Google, which has been rumored since November, would position the search giant more directly as a competitor to Nvidia in its core business of AI processors. Some analysts have said selling its custom chips to outside customers could become a business worth hundreds of billions of dollars for Google.

A Meta deal with Google, which has been rumored since November, would position the search giant more directly as a competitor to Nvidia in its core business of AI processors. Some analysts have said selling its custom chips to outside customers could become a business worth hundreds of billions of dollars for Google.

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Delays in permitting, power, and zoning cause first drop in data center construction since 2020

Despite incredible demand, the number of data centers under construction in North America fell for the first time since 2020, according to new research from CBRE.

Total data center capacity under construction dropped about 5.6% year on year from 6.35 megawatts in 2024 to 5.99 megawatts by the end of 2025.

What’s causing the delay? Slow permitting, constrained supply chains, and growing public engagement with how deals are approved at the local level. Labor constraints also were cited in the report; a tight supply of skilled workers will increase costs.

What’s causing the delay? Slow permitting, constrained supply chains, and growing public engagement with how deals are approved at the local level. Labor constraints also were cited in the report; a tight supply of skilled workers will increase costs.

-13%📱
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Smartphone shipments are expected to decline 13% — the biggest drop ever — to 1.12 billion in 2026, according to new data from IDC, as the memory shortage drives up costs and prices for phones. The firm expects the average smartphone selling price to jump 14% to a record $523 this year.

The shortfall will mostly affect makers of lower-end smartphones, whose customers are more cost-conscious, while higher-end manufacturers like Samsung and Apple are likely to be more insulated from the pressure.

“The memory crisis will cause more than a temporary decline; it marks a structural reset of the entire market, fundamentally reshaping long‑term TAM (Total Addressable Market), the vendor landscape, and the product mix,” said Nabila Popal, senior research director with IDCs Worldwide Quarterly Mobile Phone Tracker. “We expect consolidation as smaller players exit, and low-end vendors to face sharp shipment declines amid supply constraints and lower demand at higher price points.”

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Google drops new Nano Banana

Google is hoping to recapture the viral boost it received when it released its Nano Banana image generation model. Nano Banana 2 arrives today, which Google has rolled into its Gemini app.

The new model promises more accurate text rendering and translation and “advanced world knowledge,” which “pulls from Gemini’s real-world knowledge base, and is powered by real-time information and images from web search to more accurately render specific subjects,” according to the company’s press release.

New creative controls let users keep groups of characters consistent across scenes, render images with higher resolution, and parse complex prompts.

The first version of Nano Banana became popular for making action figures out of users, and helped catapult the Gemini AI app to the top of the charts, bumping ChatGPT from its perch.

New creative controls let users keep groups of characters consistent across scenes, render images with higher resolution, and parse complex prompts.

The first version of Nano Banana became popular for making action figures out of users, and helped catapult the Gemini AI app to the top of the charts, bumping ChatGPT from its perch.

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Tesla’s ride-hailing service is looking a lot more like Uber’s than Waymo’s

Despite numerous promises about amassing a giant network of driverless cars, so far it seems like Tesla’s Robotaxis are a lot more similar to Uber’s plain old ride-hailing service than Waymo’s expanding autonomous fleet.

In California, where Tesla has its largest ride-hailing service, the company has taken no formal steps to gain approval for a truly driverless car service, according to Reuters. Throughout 2025, Tesla failed to log a single mile of autonomous test driving on state roads, and has not applied for the necessary permits to test or deploy vehicles without a human present. Currently, Tesla holds only a basic permit that requires a human safety monitor to remain in the driver’s seat at all times.

Currently, Tesla’s California Robotaxi service consists of roughly 300 Teslas operated by human drivers using the company’s supervised Full Self-Driving tech. In Austin, where the company has about 45 vehicles, Tesla made a big show earlier this year of announcing it was removing the safety monitors sitting in the front seats during rides. However, to date, only a handful of those vehicles have been reported to be actually operating without a safety monitor onboard.

In other words, it’s performing a service more akin to a tech-heavy Uber ride than the one operated by Alphabet subsidiary Waymo, which earlier this week announced it now has driverless rides available to the public in 10 markets. Even Uber is trying to put space between itself and the old driver-having Ubers of yore: this week its autonomous software partner said the company plans to launch a driverless service in London this year, with plans for 10 markets.

During its earnings report last month, Tesla said it planned to offer Robotaxi service in a half dozen new cities in the first half of this year, including Phoenix, Miami, and Las Vegas. Judging by Tesla’s progress so far, it’s likely those services will also feature a human in the front seat.

In California, where Tesla has its largest ride-hailing service, the company has taken no formal steps to gain approval for a truly driverless car service, according to Reuters. Throughout 2025, Tesla failed to log a single mile of autonomous test driving on state roads, and has not applied for the necessary permits to test or deploy vehicles without a human present. Currently, Tesla holds only a basic permit that requires a human safety monitor to remain in the driver’s seat at all times.

Currently, Tesla’s California Robotaxi service consists of roughly 300 Teslas operated by human drivers using the company’s supervised Full Self-Driving tech. In Austin, where the company has about 45 vehicles, Tesla made a big show earlier this year of announcing it was removing the safety monitors sitting in the front seats during rides. However, to date, only a handful of those vehicles have been reported to be actually operating without a safety monitor onboard.

In other words, it’s performing a service more akin to a tech-heavy Uber ride than the one operated by Alphabet subsidiary Waymo, which earlier this week announced it now has driverless rides available to the public in 10 markets. Even Uber is trying to put space between itself and the old driver-having Ubers of yore: this week its autonomous software partner said the company plans to launch a driverless service in London this year, with plans for 10 markets.

During its earnings report last month, Tesla said it planned to offer Robotaxi service in a half dozen new cities in the first half of this year, including Phoenix, Miami, and Las Vegas. Judging by Tesla’s progress so far, it’s likely those services will also feature a human in the front seat.

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