Y Combinator(@ycombinator)

Rare earth magnets sit inside nearly every electric motor, but 90% of the material is conventionally...

Y Combinator (@ycombinator) — Fri, 11 Sep 2026 18:58:12 GMT

Rare earth magnets sit inside nearly every electric motor, but 90% of the material is conventionally thrown away.

Mass Magnetics (S26) is recycling magnets from EV motors into new ones for robotics and defense, avoiding much of the capital-intensive refining required by mining.

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Ashton joined us at Demo Day!

Y Combinator (@ycombinator) — Thu, 10 Sep 2026 21:04:54 GMT

Ashton joined us at Demo Day!

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Happy Alumni Demo Day!

Y Combinator (@ycombinator) — Tue, 08 Sep 2026 20:41:29 GMT

Happy Alumni Demo Day!

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https://t.co/BIechpvlve

Y Combinator (@ycombinator) — Tue, 08 Sep 2026 19:30:52 GMT

youtu.be/dZLVDPzPITg

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Centralize (YC W24) is building the GPS for enterprise deals. It turns emails, calls, CRM data, and ...

Y Combinator (@ycombinator) — Tue, 08 Sep 2026 19:30:51 GMT

Centralize (YC W24) is building the GPS for enterprise deals. It turns emails, calls, CRM data, and other customer interactions into automatic org charts that show sales teams who they know, who they’re missing, and the relationships that can help them win an account.

They recently raised a $15M Series A and are already used by teams at companies including Cognition, Intercom, Brex, and Exa.  In this Founder Fireside,

@UseCentralize_ founders Rachit and Will joined @sdianahu to talk about building the trust graph behind the product, how one customer used it to turn a stalled six-month sales process into an eight-figure deal, and why relationships and institutional knowledge still matter in enterprise sales.

00 — GPS for Enterprise Deals
45 — Who's Already Using It
00 — Building the Trust Graph
19 — Real Customer Outcomes
52 — Six Months to Weeks
08 — Who Should Use Centralize
09 — Who Thrives Here

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Y Combinator (@ycombinator) — Tue, 08 Sep 2026 16:57:52 GMT

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Congrats to @AndyLapsa, @Rkt_Da, and @stoke_space (W21) on their $1B Series E! They're building Nov...

Y Combinator (@ycombinator) — Tue, 08 Sep 2026 16:57:51 GMT

Congrats to @AndyLapsa, @Rkt_Da, and @stoke_space (W21) on their $1B Series E!

They're building Nova, a rocket designed to be fully reusable, meaning both stages fly back and fly again.

Today's rockets mostly reuse the booster and throw away the upper stage on every flight. Stoke's upper stage returns too, protected by a novel heat shield ringed with 24 thrusters. Nova's first orbital launch is targeted for early 2027, and a larger version carrying 15 metric tons to orbit is already in development.

stokespace.com/news/stoke-spa…

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Introducing the YC Early Access Network. 4x a year, senior technology leaders get early looks at YC...

Y Combinator (@ycombinator) — Tue, 08 Sep 2026 16:00:02 GMT

Introducing the YC Early Access Network.

4x a year, senior technology leaders get early looks at YC's enterprise AI companies and help shape their roadmaps.

Invite-only, by application. Fall '26 kicks off Oct 22 in SF. 

Apply now: events.ycombinator.com/yc-early-acces…

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Tune in: https://t.co/RiiWHPGFp2

Y Combinator (@ycombinator) — Mon, 07 Sep 2026 14:35:32 GMT

Tune in: youtu.be/n9xKblqyQ28

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Harnesses often get dismissed as just scaffolding, just prompt engineering, and not real research. B...

Y Combinator (@ycombinator) — Mon, 07 Sep 2026 14:35:31 GMT

Harnesses often get dismissed as just scaffolding, just prompt engineering, and not real research. But that couldn't be farther from the truth. The same model weights that score 30% on ARC-AGI score 95% with a better harness.

So we gathered a group of researchers and founders working at the frontier to do a deep dive into the state of harnesses. 

We cover how we got to this point, the case for making your harness as expressive as possible, and what YC learned building an agent for every employee in the company.

00 - @FrancoisChauba1: Why harnesses matter
27 - Building an auto-researcher by accident
13 - A five minute history of harnesses
56 - Self-improving harnesses
35 - @sethkarten: Prime Agent, a self-improving RLM harness
50 - Context as an L1, L2, L3 cache
51 - From Turing machine to von Neumann computer
33 - Messaging between agents
04 - ARC-AGI results
09 - Emulator Bench and GPU kernels
30 - @JonSaadFalcon: OpenJarvis, personal AI on personal devices
26 - How far behind are local models
21 - The five primitives of a personal AI stack
47 - Letting cloud models optimize your local stack
53 - 800x cheaper than the cloud
58 - @josh__france and @jbellregan: QM, YC's agent harness for work
29 - A history of YC's internal agents
24 - OpenClaw and a fleet of 50 agents
04 - Pulling the brain out of the sandbox
43 - Letting the agent choose its own sandbox and model
16 - The grind tool: budgets on goals
50 - Agents don't understand social context

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Open models are closing the intelligence gap, says @ollama's @jmorgan. That opens up a new opportuni...

Y Combinator (@ycombinator) — Fri, 04 Sep 2026 17:40:00 GMT

Open models are closing the intelligence gap, says @ollama's @jmorgan. That opens up a new opportunity for founders: coordinating fast, cheap models to solve more complex problems.

“We’re maybe less than three months behind between the frontier closed models and the open models. But the next problem to solve is extreme efficiency.”

“They’re good enough for 80% of the tasks, they’re really fast and they’re ultra cheap.”

“That class of models, in my mind, will be the first ones that come down to this idea of the unlimited tokens.”

“Being able to coordinate these flash models together to do different tasks can also yield great results that a bigger model can.”

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Y Combinator@ycombinator

🦙 @ollama is used by 9 million developers and 85% of the Fortune 500, giving co-founder and CEO Jeffrey Morgan (@jmorgan) a unique view into which AI models people are actually using and how that’s changing.

Right now, the biggest shift he sees is toward open models, driven by coding agents, falling costs, and capabilities that are rapidly catching up to the frontier labs. On Ollama Cloud, that shift has driven a 150x increase in token usage since the start of the year.

In this episode of @LightconePod, Jeff joins @garrytan, @snowmaker, @sdianahu, and @harjtaggar to talk about the future of open models and the story behind Ollama, from two years of searching for the right idea to building one of the most widely used AI developer tools in the world.

43 — The Shift to Open Models
03 — How AI Agents Are Driving Token Usage
31 — Are Open Models Catching Up?
26 — What Happens When a New Model Launches
31 — Ollama as an Operating System for AI
05 — The New Opportunities Above the Model Layer
19 — Why 80–90% of Enterprise Tokens Could Be Open
57 — The Future Is Local and Cloud
40 — Why AI Is Coming Back to Your Computer
56 — The Coming Era of Unlimited Tokens
30 — Do We Still Need a “God Model”?
41 — Open Models and Geopolitics
14 — The Origins of Ollama
36 — Two Years Lost in the Wilderness
39 — The Pivot That Changed Everything
02 — How Ollama Found a Business Model
43 — Why Second-Time Founders Did YC

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Y Combinator (@ycombinator) — Fri, 04 Sep 2026 14:36:12 GMT

youtu.be/rY0wnfFHYbs

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🦙 @ollama is used by 9 million developers and 85% of the Fortune 500, giving co-founder and CEO Jef...

Y Combinator (@ycombinator) — Fri, 04 Sep 2026 14:36:11 GMT

🦙 @ollama is used by 9 million developers and 85% of the Fortune 500, giving co-founder and CEO Jeffrey Morgan (@jmorgan) a unique view into which AI models people are actually using and how that’s changing.

Right now, the biggest shift he sees is toward open models, driven by coding agents, falling costs, and capabilities that are rapidly catching up to the frontier labs. On Ollama Cloud, that shift has driven a 150x increase in token usage since the start of the year.

In this episode of @LightconePod, Jeff joins @garrytan, @snowmaker, @sdianahu, and @harjtaggar to talk about the future of open models and the story behind Ollama, from two years of searching for the right idea to building one of the most widely used AI developer tools in the world.

43 — The Shift to Open Models
03 — How AI Agents Are Driving Token Usage
31 — Are Open Models Catching Up?
26 — What Happens When a New Model Launches
31 — Ollama as an Operating System for AI
05 — The New Opportunities Above the Model Layer
19 — Why 80–90% of Enterprise Tokens Could Be Open
57 — The Future Is Local and Cloud
40 — Why AI Is Coming Back to Your Computer
56 — The Coming Era of Unlimited Tokens
30 — Do We Still Need a “God Model”?
41 — Open Models and Geopolitics
14 — The Origins of Ollama
36 — Two Years Lost in the Wilderness
39 — The Pivot That Changed Everything
02 — How Ollama Found a Business Model
43 — Why Second-Time Founders Did YC

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At @HeartAerospace, @AndersForslund1 built the company one material milestone at a time, using each ...

Y Combinator (@ycombinator) — Thu, 03 Sep 2026 22:15:00 GMT

At @HeartAerospace, @AndersForslund1 built the company one material milestone at a time, using each one to earn the credibility and capital to build the next.

“We really had no technology. I came to YC Demo Day with a little 3D-printed model.”

“We went from having the LOIs to building the 400 kilowatt motor, which was the size of a small jet engine. That in turn attracted actual pre-orders, and then that attracted more capital.”

Their first major airline customer came through the spam folder.

“United Airlines came through an inbound email through our info email... we showed them the electric motor we built, and they kind of immediately got it.”

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Y Combinator@ycombinator

YC W19's @HeartAerospace just flew the largest electric airplane ever flown.

Seven years ago, co-founder & CEO @AndersForslund1 came to YC with a 3D-printed model you could hold in your hand. Today, the aircraft has a 100-foot wingspan, weighs 25,000 pounds, and costs just $5 in electricity to get off the ground.

YC’s @gustaf visited their pilot plant in LA to learn how they built it -- and what cheap electric flight could unlock for the future of regional air travel.

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Paul Graham on what drives founders through the hard parts: “Being dutiful is not enough. The obsta...

Y Combinator (@ycombinator) — Thu, 03 Sep 2026 18:07:59 GMT

Paul Graham on what drives founders through the hard parts:

“Being dutiful is not enough. The obstacles are too fearsome for mere dutifulness.”

“You know what actually motivates founders day to day? The fear of failure.”

“If your server’s crashing, you’re not thinking, ‘I got to deal with this because if I deal with it, I’ll become a billionaire.’ You’re thinking, ‘Oh no, the server’s crashing. It will be a disaster. The engine of my model train set is falling off the edge of the table. I need to go and save it.’”

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Y Combinator@ycombinator

YC visiting partner @vivianmshen sits down with Paul Graham (@paulg) at the original YC office in Mountain View to talk about startups, AI, ambition, and what makes great founders.

07 — Why Today’s Startups Are More Ambitious
09 — Frighteningly Ambitious Ideas
13 — What Actually Motivates Founders
28 — What Makes a Founder Formidable
54 — What Surprised PG About AI
58 — How YC Started and What Hasn’t Changed

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Y Combinator (@ycombinator) — Thu, 03 Sep 2026 14:51:00 GMT

youtu.be/5bxp78i96S8

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YC visiting partner @vivianmshen sits down with Paul Graham (@paulg) at the original YC office in Mo...

Y Combinator (@ycombinator) — Thu, 03 Sep 2026 14:50:59 GMT

YC visiting partner @vivianmshen sits down with Paul Graham (@paulg) at the original YC office in Mountain View to talk about startups, AI, ambition, and what makes great founders.

07 — Why Today’s Startups Are More Ambitious
09 — Frighteningly Ambitious Ideas
13 — What Actually Motivates Founders
28 — What Makes a Founder Formidable
54 — What Surprised PG About AI
58 — How YC Started and What Hasn’t Changed

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Congrats to @ConveoAI (S24) on their $50M Series A! Their AI interviewer holds in-depth video conv...

Y Combinator (@ycombinator) — Wed, 02 Sep 2026 15:57:10 GMT

Congrats to @ConveoAI (S24) on their $50M Series A! 

Their AI interviewer holds in-depth video conversations with thousands of real consumers, so brands learn in days what used to take months.

Consumer research has always forced a choice: surveys reach lots of people but stay shallow, while focus groups go deep but are slow and expensive. Conveo removes that tradeoff, and more than 400 enterprises now use it, including 50+ Fortune 500 brands like Google, Unilever, and Canva.

axios.com/pro/enterprise…

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Y Combinator (@ycombinator) — Tue, 01 Sep 2026 18:00:02 GMT

youtu.be/7JoqmM5EPXo

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Wafer (@wafer_ai) is building a fast AI inference cloud that uses agents to optimize GPUs and run op...

Y Combinator (@ycombinator) — Tue, 01 Sep 2026 18:00:01 GMT

Wafer (@wafer_ai) is building a fast AI inference cloud that uses agents to optimize GPUs and run open-source models at industry-leading speeds. The result is the low cost of open source with the latency of a much smaller model.

Four months after launching the cloud, they went from zero to $8 million in ARR and just raised a $40M Series A.

In this episode of Founder Firesides, YC's @snowmaker sits down with Wafer co-founders @gpusteve and @gpuemi to talk about going from UChicago undergrads to building one of the fastest-growing AI infrastructure companies in just over a year. They share how a college side project became Wafer, how they got GLM 5.2 running 2-3x faster than anyone else in the market, and why speed, not just cost, is pushing enterprises toward open-source models.

48 — What Wafer Does
35 — Going From $0 to $8M ARR in Four Months
21 — Scaling Faster Than They Could Keep Up
14 — How AI Makes AI Faster
21 — The Pivot That Changed Everything
41 — Why Open-Source Models Are Taking Off
03 — From a College Side Project to Wafer
33 — Advice for Starting and Joining Startups

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Y Combinator (@ycombinator) — Tue, 01 Sep 2026 15:34:55 GMT

youtube.com/watch?v=nM86DB…

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YC W19's @HeartAerospace just flew the largest electric airplane ever flown. Seven years ago, co-fo...

Y Combinator (@ycombinator) — Tue, 01 Sep 2026 15:34:54 GMT

YC W19's @HeartAerospace just flew the largest electric airplane ever flown.

Seven years ago, co-founder & CEO @AndersForslund1 came to YC with a 3D-printed model you could hold in your hand. Today, the aircraft has a 100-foot wingspan, weighs 25,000 pounds, and costs just $5 in electricity to get off the ground.

YC’s @gustaf visited their pilot plant in LA to learn how they built it -- and what cheap electric flight could unlock for the future of regional air travel.

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Congrats to @ArintraHealth (W22) on their $25M Series B! They build AI that translates medical vis...

Y Combinator (@ycombinator) — Mon, 31 Aug 2026 21:59:51 GMT

Congrats to @ArintraHealth (W22) on their $25M Series B! 

They build AI that translates medical visits into the billing codes hospitals need to get paid.

Every chart has to be coded before a claim goes out, and doing it by hand is slow and error-prone. Arintra codes charts autonomously across inpatient, outpatient, ambulatory, and emergency care.

They work with large health systems representing more than $50 billion in combined patient revenue and process over $5 billion in claims a year. Customers report a 5.1% lift in compliant revenue capture, 32% lower costs, and 43% fewer coding-related denials.

fiercehealthcare.com/finance/arintr…

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"The way to get the very best startup ideas is not to look for startup ideas. If you’re consciously ...

Y Combinator (@ycombinator) — Sun, 30 Aug 2026 17:10:24 GMT

"The way to get the very best startup ideas is not to look for startup ideas. If you’re consciously looking for them, you’ll be too conservative. You’ll lop off the outliers."

Instead, work on projects with your friends. Build things you think would be cool.

Paul Graham on How to Earn a Billion Dollars: paulgraham.com/earn.html

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Tune in: https://t.co/8Jh1xdEPrT

Y Combinator (@ycombinator) — Thu, 27 Aug 2026 17:10:14 GMT

Tune in: youtu.be/x3XOeDckUX0

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Outset (YC W23) is building an AI customer research platform used by companies like Google, Microsof...

Y Combinator (@ycombinator) — Thu, 27 Aug 2026 17:10:13 GMT

Outset (YC W23) is building an AI customer research platform used by companies like Google, Microsoft, and Nestlé. Its AI interviewers have now conducted millions of conversations, giving companies the scale and speed of a survey with the depth of a one-on-one interview.

In this founder fireside, @OutsetAI co-founder and CEO @AaronLCannon sits down with YC's @harjtaggar to talk about building a product before the market was ready for it, how they helped create the category of AI-moderated research, and what comes next.

Aaron shares how they're expanding beyond interviews with Outset's new Simulations Lab and Digital Twins, which let companies simulate their customers and get feedback on everything from messaging and pricing to new products.

24 — What Outset Does
18 — Building a Category Before the Market Was Ready
31 — Landing the First Enterprise Customer
14 — How Better AI Models Changed the Product
57 — When the Market Finally Caught Up
45 — From AI Interviews to Customer Simulations
40 — Aaron’s Path to Becoming a Founder

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Congrats to @billythalheimer, @mikeklinker1, and @regentcraft (W21) on their $240M Series B! They b...

Y Combinator (@ycombinator) — Thu, 27 Aug 2026 15:23:53 GMT

Congrats to @billythalheimer, @mikeklinker1, and @regentcraft (W21) on their $240M Series B!

They build seagliders, electric craft that skim just above the water and combine the speed of an aircraft with the convenience of a boat. Their Viceroy Seaglider prototype is designed to carry 12 passengers at up to 180 mph, and its first human flight is imminent. 

Regent’s commercial order book spans six continents, and production is starting at their newly completed 255,000-square-foot factory in Rhode Island.

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Tune in: https://t.co/afhCzedQNS Transcript: https://t.co/0K1fC55ma0

Y Combinator (@ycombinator) — Wed, 26 Aug 2026 18:29:07 GMT

Tune in: youtu.be/o0ORPbSEgd8

Transcript: ycrootaccess.com/p/max-junestra…

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Today, more than 3% of the world's lawyers use Legora, and the company has grown from $1 million to ...

Y Combinator (@ycombinator) — Wed, 26 Aug 2026 18:29:06 GMT

Today, more than 3% of the world's lawyers use Legora, and the company has grown from $1 million to $100 million in ARR since launching in October 2024.

At Startup School 2026, @WeAreLegora co-founder and CEO @MaxJunestrand shares how they built one of the fastest-growing enterprise software companies in the world, from cold emailing lawyers and moving into a customer's office to freezing sales for six months to rebuild the product.

He explains why building a company is ultimately about people, how to create a culture that wants to win, and why founders have to learn to love the hustle.

07 — From 3 Engineers to $100M ARR
15 — How Legora Got Started
09 — Learning the Legal Industry From Scratch
22 — Getting Rejected by YC
36 — Moving Into a Customer's Office
11 — Going From Zero to $1M ARR During YC
26 — Why We Froze Sales for Six Months
18 — Rebuilding the Product From Scratch
26 — Building a Company Is About People
51 — Creating a Culture That Wants to Win
26 — You Have to Love the Hustle
55 — Do Founders Need Domain Expertise?
14 — Betting on Models Getting Better
29 — When Should You Start a Company?
04 — How to Become More Ambitious
18 — The Skills Founders Need Today

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Big labs don’t have a monopoly on AI research. More than 20 YC startups have published research re...

Y Combinator (@ycombinator) — Tue, 25 Aug 2026 00:07:04 GMT

Big labs don’t have a monopoly on AI research. 

More than 20 YC startups have published research recently at top conferences like NeurIPS, ICLR, and ICML.

empirical.health/blog/yc-startu…

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Congrats to @hellomundoai on their $20M Series A! Mundo partners with frontier AI labs and companie...

Y Combinator (@ycombinator) — Mon, 24 Aug 2026 17:30:01 GMT

Congrats to @hellomundoai on their $20M Series A!

Mundo partners with frontier AI labs and companies to build the datasets, evaluations, and research that help AI better perceive and understand the real world across audio, video, and emerging modalities.

mundoai.world/research/perce…

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What does the stack of the most 'cracked' builders look like these days? @steipete’s latest progres...

Y Combinator (@ycombinator) — Fri, 21 Aug 2026 21:00:27 GMT

What does the stack of the most 'cracked' builders look like these days?

@steipete’s latest progression:

cli → app → web (multiplayer agent sessions)

Watch the full conversation with @raphaelschaad linked below.

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Y Combinator (@ycombinator) — Fri, 21 Aug 2026 21:00:27 GMT

x.com/raphaelschaad/…

Raphael Schaad@raphaelschaad

Caught up backstage w ClawFather @steipete; this is a packed one:
 
* Loops, Graphs, and Florps — what's latest in agentic engineering?

* Outie vs. Innie — avoid his personal vs. work agent fighting?

* Startup ideas in 2026 — what to build?

Lots of incredible zingers in here:

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Y Combinator (@ycombinator) — Thu, 20 Aug 2026 16:03:48 GMT

Tune in: youtu.be/IfoPg2QefF8

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This week's Paper Club is focused on data. As models have scaled across tasks and languages, old ass...

Y Combinator (@ycombinator) — Thu, 20 Aug 2026 16:03:47 GMT

This week's Paper Club is focused on data. As models have scaled across tasks and languages, old assumptions about training and evaluation are starting to break.

So we gathered three domain experts to break down the challenges and frontiers of training data, benchmarks, and multilingual pre-training.

Thanks to the following presenters:

00:00 - @FrancoisChauba1: Why a whole night about data?
9:51 - @vincentsunnchen: The Art & Science of Benchmarking Agents
28:44 - @volokuleshov: Inception: Diffusion Language Models for Production
40:26 - @ShayneRedford: ATLAS: Practical Scaling Laws for Multilingual Models

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@cjoneslevy Learn more: https://t.co/uwXN78wXlM

Y Combinator (@ycombinator) — Wed, 19 Aug 2026 16:30:29 GMT

@cjoneslevy Learn more: ycombinator.com/safe

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In 2013, @cjoneslevy created the SAFE at YC. It's since been used by YC founders to raise $15B+ and ...

Y Combinator (@ycombinator) — Wed, 19 Aug 2026 16:30:00 GMT

In 2013, @cjoneslevy created the SAFE at YC. It's since been used by YC founders to raise $15B+ and has become the standard way startups raise money.

So we're launching Send a SAFE: a free tool to generate, sign, & send one in ~2 minutes, built to be used by founders (and their AI agents).

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Tune in: https://t.co/AyIrxhVR1r Transcript: https://t.co/KtHJZGPAYb

Y Combinator (@ycombinator) — Tue, 18 Aug 2026 21:33:51 GMT

Tune in: youtu.be/zLUZclThLhU

Transcript: ycrootaccess.com/p/michael-krat…

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Michael Kratsios (@mkratsios47) has seen the AI boom from both sides: as COO of Scale AI and inside ...

Y Combinator (@ycombinator) — Tue, 18 Aug 2026 21:33:50 GMT

Michael Kratsios (@mkratsios47) has seen the AI boom from both sides: as COO of Scale AI and inside the White House. Today, as the director of the White House Office of Science and Technology Policy, he helps shape America’s national strategy on AI, science, and emerging technology.

At Startup School 2026, he sat down with YC's @lutherlowe, to talk about how Washington makes technology policy, why the White House supports open source AI, and why little tech needs a seat at the table.

38 — From Tech to the White House
39 — How Technology Policy Actually Gets Made
51 — The White House on Open Source AI
28 — How Washington Sees AI Differently
53 — Regulating a Technology That Changes Every Six Months
37 — Which AI Risks Are Overblown?
03 — Giving Little Tech a Seat at the Table
31 — Regulation Without Creating Incumbent Moats
01 — Born Free vs. Born in Captivity Technologies
46 — What Working in the White House Is Actually Like
56 — A New Golden Age of American Science
32 — Quantum, Congress, IP, and What Comes Next
54 — Why Technologists Should Consider Public Service

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Tune in: https://t.co/rKPXInsMne Transcript: https://t.co/YoxQfDQcDd

Y Combinator (@ycombinator) — Fri, 14 Aug 2026 19:18:28 GMT

Tune in: youtu.be/YEvLKzsEwMw

Transcript: ycrootaccess.com/p/susan-kare-o…

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Before joining Apple as the Macintosh artist, @SusanKare was an art history PhD who barely knew anyt...

Y Combinator (@ycombinator) — Fri, 14 Aug 2026 19:18:27 GMT

Before joining Apple as the Macintosh artist, @SusanKare was an art history PhD who barely knew anything about computers.

She went on to design many of the icons, typefaces, and symbols that helped make the original Mac feel understandable and human, defining a visual language for personal computing that still influences software today.

At Startup School 2026, Susan shares the stories behind the Happy Mac, Command key, Chicago font, and more, along with the design lessons she learned from Steve Jobs, Paul Rand, and the original Mac team: make things meaningful and memorable, embrace constraints, iterate constantly, and use just enough detail to make an idea instantly clear.

00 — Making Things Meaningful and Memorable
51 — How Susan Joined Apple
01 — Designing the Original Macintosh
35 — A Computer Anyone Could Use
26 — Creating Chicago and the Mac Typefaces
47 — MacPaint and the First Icons
45 — The Story Behind the Happy Mac
08 — Why Simple Icons Work Better
25 — The Icons That Didn’t Work
23 — Designing Symbols That Last
44 — How the Command Key Got Its Symbol
20 — What Ancient Symbols Can Teach Designers
18 — Designing After Apple
32 — Lessons From Steve Jobs, Paul Rand, and More

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Tune in: https://t.co/vIAO5uxo1P Transcript: https://t.co/0AvzxCsgzq

Y Combinator (@ycombinator) — Wed, 12 Aug 2026 15:44:00 GMT

Tune in: youtu.be/cRZNwgvcWUg

Transcript: ycrootaccess.com/p/chelsea-finn…

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Robots can already fold laundry, make espresso, clean kitchens, and assemble things. The harder prob...

Y Combinator (@ycombinator) — Wed, 12 Aug 2026 15:43:59 GMT

Robots can already fold laundry, make espresso, clean kitchens, and assemble things. The harder problem is getting them to do those tasks reliably, for long periods of time, without a human babysitting them.

At Startup School 2026, @physical_int cofounder @chelseabfinn explains what it takes to build general-purpose robots that work in the real world.

She shares how reinforcement learning pushed robot throughput up 2x, how their systems can run autonomously for hours, and why she believes robotics is entering its GPT era: moving from specialized models toward general-purpose systems that can work across tasks, robots, and environments.

00 — The State of Physical Intelligence
23 — What It Takes to Make Robots Useful
11 — The Reliability Problem
43 — Reinforcement Learning for Robotics
35 — Learning From Failures
43 — Training Robots to Improve Themselves
21 — Can a Robot Work for 13 Hours Straight?
36 — Why Robots Need Memory
22 — Building a General-Purpose Robot
02 — From Fine-Tuning to Out-of-the-Box Models
35 — Training on All the Data
20 — One Model That Beats the Specialists
21 — Compositional Generalization
49 — The GPT Era of Robotics
49 — Q&A

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Congrats to @adijayaprakash, @adityamaru27, @aayush_shah15, and @useblacksmith (W24) on their $45M S...

Y Combinator (@ycombinator) — Wed, 12 Aug 2026 14:46:48 GMT

Congrats to @adijayaprakash, @adityamaru27, @aayush_shah15, and @useblacksmith (W24) on their $45M Series B at a $550M valuation! 

AI tools mean developers are writing more code than ever, but all of it still has to be checked before it reaches production. Blacksmith builds the infrastructure that tests and validates code before it ships.

In under a year, customers grew from just over 700 to more than 5,000, including Supabase, Clerk, and Mercury. They hit their first $10M in run rate with only 10 employees, and revenue has since grown to tens of millions.

techcrunch.com/2026/08/12/bla…

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Tune in: https://t.co/7UfVheymng

Y Combinator (@ycombinator) — Tue, 11 Aug 2026 15:32:42 GMT

Tune in: youtu.be/4YWO4sSRrTE

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In this episode of Full Stack, @circlebackai co-founder Ali Haghani (@iAligator) gives us a look at ...

Y Combinator (@ycombinator) — Tue, 11 Aug 2026 15:32:41 GMT

In this episode of Full Stack, @circlebackai co-founder Ali Haghani (@iAligator) gives us a look at how he runs the company with AI.

From coding agents and automated ops to using Circleback as a company brain, he shares the tools, workflows, and systems that have changed how he works as a founder.

44 - Ali's hardware setup + gadgets
51 - Unexpected ways of using Circleback
21 - OpenClaw/Telegram vs coding tools
48 - Different agents made in Telegram
42 - Time spent in terminal vs everything else
36 - Testing and writing prompts
48 - Tokenmaxxing?
24 - Things Ali will not let agents do
59 - Why should companies start recording more meetings?
04 - Where is software engineering headed?

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Tune in: https://t.co/f8D7qdwJ36 Transcript: https://t.co/jonTCfO46d

Y Combinator (@ycombinator) — Mon, 10 Aug 2026 21:21:40 GMT

Tune in: youtu.be/whcfSGN6CAU

Transcript: ycrootaccess.com/p/peter-steinb…

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Last November, @steipete was annoyed that there was no good way to talk to his coding agents from hi...

Y Combinator (@ycombinator) — Mon, 10 Aug 2026 21:21:39 GMT

Last November, @steipete was annoyed that there was no good way to talk to his coding agents from his phone, so he built one himself. A few months later, OpenClaw exploded into one of the biggest open source AI projects in the world, with nearly 3,000 contributors and a peak of 4.7 million weekly downloads.

At Startup School 2026, Peter tells the story of what happened when OpenClaw took off, what he got wrong as it grew, and how he eventually stopped using the product he had built for himself.

He shares why the best products often start with something that annoys you, why focus matters more as building gets easier, and why, in his words, “fun is velocity.”

16 — How OpenClaw Started
10 — Finding Product-Market Fit
01 — The Night OpenClaw Went Viral
50 — When the Project Exploded
05 — When the Attention Almost Broke Him
00 — Did You Sell Out?
17 — Your Name Can’t Be Forked
03 — What OpenClaw Got Wrong
40 — Hype Is Like the Weather
37 — When It Stopped Being Fun
30 — Fun Is Velocity
40 — What’s Next for OpenClaw
57 — Three Lessons From Building OpenClaw
08 — Q&A

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Tune in: https://t.co/GhAfKxwh9G Transcript: https://t.co/a42Yg2O4SD

Y Combinator (@ycombinator) — Sat, 08 Aug 2026 15:10:21 GMT

Tune in: youtu.be/myDCd0hNqQU

Transcript: ycrootaccess.com/p/memory-simto…

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This week’s Paper Club is all about robotics. Every year for the last decade, someone has promised t...

Y Combinator (@ycombinator) — Sat, 08 Aug 2026 15:10:20 GMT

This week’s Paper Club is all about robotics. Every year for the last decade, someone has promised that the era of robotics is just around the corner. But we’re still waiting.

So we gathered a bunch of the top researchers working in AI and robotics to present the latest findings on where we are and what comes next.

Thanks to the following presenters:

0:00 – @FrancoisChauba1: Ten years of “next year, robotics is solved” 
7:59 – @marceltornev: MEM - Multi-Scale Embodied Memory for Vision Language Action Models (arxiv.org/abs/2603.03596)
20:21 – Milan Ganai: Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning (arxiv.org/abs/2602.08167)
33:42 – @tylerlum23: SimToolReal - An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation (arxiv.org/abs/2602.16863)
51:21 – @NikolausWest: Why the next great robotics companies will start with teleoperation 
1:08:30 – @BillJiao930 & @Guanming717: World action models and what comes after VLAs

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