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I spent weeks reading everything YC has ever published about what they look for.
here are 9 things that would have changed how I thought about the application
YC Insights. retweeted
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YC Insights. retweeted
There are now 4x more “Cursor for X” companies in YC than “Uber for X.”
Through all 6,334 YC companies, every “X for Y.” 479 of them describe themselves as someone else, for something else.
The most borrowed names:
1. Cursor: 36
2. Shopify: 23
3. Stripe: 18
4. Lovable: 14
5. Plaid: 13
6. ChatGPT: 11
7. Claude Code: 10
8. Rippling: 10
9. Vercel: 9
10. Airbnb, Amazon, Datadog, Figma, Uber: 8 each
Few things jump out...
→ most borrowed name in YC isn’t a YC company! Only 7 of the top 25 are.
→ AI tools have taken over the shorthand. Cursor, Lovable, ChatGPT, Claude Code, Vercel and Perplexity add up to 85 references. Shopify, Stripe, Plaid and Airbnb together: 62.
→ Heroku’s batch was 2008, and YC companies from 2022 still pitch themselves as “Heroku for X.”
→ Stripe took about ten years to become a YC reference point. The earliest YC company I can find calling itself “Stripe for X” is from 2019…. Legora and Corgi got there in roughly 2 years!!
Caveat that the directory shows what companies say today, not what they wrote at the time, so some get edited retrospectively.
Becoming an adjective is one of the clearest signals your startup has made it, @brycent made a great video about this recently
YC Insights. retweeted
At @ycombinator, we're excited to fund more crypto startups solving financial needs including AI capital raising, stablecoins, trading, and agents.
Here's our latest crypto request for startups. Our next application deadline is Monday.
YC has asked founders: “What do you understand about your business that other companies don’t?”
A weak answer says “better UX.”
A stronger one names the specific thing customers struggle with and why existing products keep missing it.
This is the YC approach in practice
Paul Graham: “Don’t sell. Tell the truth, and let investors read it through you.”
Appreciating Tanay sharing how mapping the real risks built more trust than hiding them
xitter.cf/paulg/status/122501283…
when we raised our seed round years ago, i actually told investors exactly how we *could* fail.
i'm generally a no bs person, so i wanted to lay all the cards out. the pitch had 3 parts:
-here's what we think this could become
-here's what we know so far
-here are all the risks for how this company could fail
i told them in a meeting, "you could tell me 5 risks you see. i'll tell you 100, because we've done the work to understand all 100."
we raised $4.5m a couple of weeks later, and the journey started.
investors aren't stupid. they hear pitches all day, and they can tell when a founder is hiding the downside.
so if you're looking to raise: don't oversell the upside, and definitely don't hide the downside. honesty wins.
— written with @WisprFlow
"Make something People want" an Agents to do
Opportunities for founders...
- Vertical agent swarms for ops (KYC, compliance, underwriting)
- Secure agent coordination & message-board infrastructure
- Specialized agents + marketplaces for multi-agent workflows
The YC pattern in applications from repeat founders:
First-time founders: describe what they'll build.
Repeat founders: describe what they've already learned from building the wrong thing and why this version is right.
The repeat founder who says: "I built for 3 years"
- Here's the specific mistake I made.
- Here's the specific insight it gave me.
- Here's why this company doesn't make that mistake."
That application: gets read more carefully than any first-time founder application.
Failure is a credential. Use it.
The insider truth about YC's application volume:
Partners don't read every application fully.
They read the first section fully. If it's strong: they read the second. If that's strong: they read the rest.
Most applications are eliminated in the first 2 paragraphs.
Not because the idea is bad. Because the first 2 paragraphs are unclear.
The entire application strategy: make the first 2 paragraphs undeniable.
The hidden signal in the "what's not working?" question:
Partners ask this to find out if you're honest.
Not if your company has problems.
Every company has problems.
The founders who can name their problems specifically: are the ones partners can help.
The founders who say "nothing major" or "just growth": are the ones partners can't help, because they're not honest about the gap.
Be specific about what's broken. That specificity: the signal that you're fundable.
This is the right shift. Once models are “good enough,” the next wave of value is in the unglamorous layers that let AI actually run in factories, data centers, government systems, and space.
YC’s Winter 2027 RFS is a clear signal of where they want to fund
The YC application pattern that signals "wrong founder" immediately:
When the application is written entirely in 3rd person.
- "The company will build..."
- "Users will benefit from..."
- "The team plans to..."
The founders who get in: write in first person like they're talking to a friend.
"I built this because I lived the problem. Here's what happened."
- 3rd person = boardroom distance.
- 1st person = founder obsession.
YC funds the obsessed.
Great distinction. AI makes it much easier to build and ship a v1, but it doesn’t make it easier to make something people actually want. You still have to talk to users and keep improving based on what they do, that part hasn’t gotten easier.
New essay:
andrewchen.substack.com/p/ne…
NEW FOUNDER ARCHETYPES IN THE AI AGE
Solo founders
- Why: Solo founders can do 100x with AI, so they can ship a v1 when previously they couldn’t have before
- Why not: Maybe a team of cofounders still makes more progress. Maybe you can agentically code but someone still needs to do a million meetings with customers. Maybe coding was never the main bottleneck for startups in the first place?
Non-technical founders
- Why: There’s elite talent that comes from areas like finance, consulting, who can’t code but are passionate about business. There’s also folks in creative industries who create all day but just not in code. Now they can build
- Why not: Why not: Maybe AI makes it easier to build a prototype, but there’s still a big gap between a demo and a reliable product that can scale. If everyone can build the first version, maybe technical judgment becomes more important in deciding what to build, what’s actually possible, and how to stay ahead as the product gets more complex. (especially true for product categories like dev tools/etc)
Domain experts
- Why: A doctor who works at a hospital understands all the problems they face each day. A real estate broker really gets the subtleties of their markets, their clients. Same with a soldier, teacher, etc. What if they could use software to solve their own problems and build business along the way?
- Why not: Hoteliers didn’t create Airbnb and the finance industry didn’t create Kalshi. Sometimes you just need an outsider’s view in order to reinvent an industry, versus building incremental improvements
Kids, high schoolers, college students
- Why: Young people have already been building products early on. Start with a Minecraft mod, a Roblox game, a Discord bot, and suddenly you’ve learned how to make something that thousands of other people use. Now add AI, and a kid with an idea can build way more, way earlier
- Why not: Building something your friends love is very different from building a company. You still have to hire, raise money, manage people, and figure out how to make money. And maybe young founders have an advantage in consumer products because they understand their peers, but much less of one when it comes to enterprise software, healthcare, or other industries where experience and relationships really matter. Sometimes you just need domain expertise
Content creators
- Why: They’re already creating. So instead of creating videos, maybe the same skills can go into creating software. Plus, they have distribution. They know what their followers care about, how to get their attention, and how to reach them without paying for ads. In the past, turning that audience into a software product meant finding a technical cofounder or hiring a team. Now a creator could build and launch something themselves, and immediately put it in front of millions of potential users.
- Why not: Having followers helps with a spike of distribution, but building a sustainable growth engine is something else. The most valuable products aren’t memes - they are long-running, long-growing products that need to be endlessly tweaked and iterated on. Does the DNA work?
Went through LTV/CAC benchmarks today.
- Below 1:1 → losing money per customer
- 3:1 to 5:1 → fundable at seed and Series A
- Above 10:1 → investors set terms on your behalf
Most founders know their CAC.
Few know their LTV.
Know both.
Software itself is getting cheap. The lasting advantages are proprietary data, tight feedback loops, deep domain knowledge, and actually delivering the outcome people care about. Features alone won’t cut it.
My take: SaaS is dead. Software is charity now, make money elsewhere.
No one can make $$ selling the same features for years anymore.
Instead:
- Use good software to collect user data and sell data.
- Use good software to deliver outcome and sell outcome.
- Arbitrage tokens under the guise of selling software - buy bulk, sell retail.
- Use good software internally to drive your own margin higher for your services/products
- Build RSI agent in a domain that has the fastest learning loop so it has the most, latest expertise: e.g. a marketing agent that knows the latest tricks to get viral in X coz it's doing it for others every day and learn and evolve.
- Give away all your features for free, it's futile anyways. Open source them. Make money elsewhere.
YC Insights. retweeted
People keep asking to hop on calls asking me about how I got into YC.
It's been almost 18 months since we got into YC.
The world has changed so much lol 😭
The answer tho is pretty simple.
Just move as fast as possible to get traction.
Your first startup idea is a hypothesis, not a commitment.
Build the smallest useful version. Put it in front of real customers. Watch what happens.
If users reveal a better way to solve the problem, follow the evidence.
YC's Michael Seibel has made this point repeatedly: stay attached to the problem, not your original solution.
The goal is to build something people want.




















