Y Combinator

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Y Combinator

Y Combinator

@ycombinator

We help founders make something people want. Subscribe to our newsletter: https://t.co/sjqjxxBeLc

San Francisco, CA Katılım Şubat 2010
364 Takip Edilen1.6M Takipçiler
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Y Combinator
Y Combinator@ycombinator·
YC is for founders, by founders. Applications for Fall 2026 close on July 27: ycombinator.com/apply
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Tarek Mansour
Tarek Mansour@mansourtarek_·
Today, we launched GPU compute forward curves derived from our prediction market prices. Forward curves are now available on Nvidia B200. H200, and A100 chips. Forward curves track implied future prices. They are how mature commodity markets form expectations, allocate capital, and manage risk. Energy, interest rates/SOFR, FX, metals, and agricultural markets all rely on market-implied forward prices. Despite becoming one of the key inputs in the global economy, compute has lacked that market-derived infrastructure. Compute right now is where oil was before NYMEX — traded only via OTC deals, just like oil used to trade OTC between producers and refiners. As compute becomes as fundamental to the economy as energy, the industry will need a similar derivative market to promote efficient price discovery. Prediction markets are uniquely suited to this problem. Compute is not one uniform commodity and spans many chips, grades, tenors, locations, and contract structures. A live prediction market can aggregate those dispersed views into transparent prices that reflect market expectations for different maturities. The opportunity is big. Hyperscalers are spending over $700B on compute this year and the market is expected to grow to $7-10T by 2030. If this market behaves like traditional commodity markets, a liquid derivative market could be 10-20x bigger than the underlying spot market. Compute is still not uniform enough, but this is a step towards standardization as forward curves will help us see the rise and fall of different model prices and how they correlate. The forward curve is a first step. Up next: futures and perps.
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OpenCode
OpenCode@opencode·
Introducing Tabs OpenCode Desktop is now built around tabs. Start a new session in a tab, or open an existing session from any of your projects. Open a new tab when you're starting something new, and close it when you're done. Download the latest to get started.
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Hudson
Hudson@hudson_gri·
while building @useprized we accidentally built the thing we can't live without. hux, our company brain: every tool we use in one graph + agents working 24/7 while we sleep. he also has fun animations :)
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Farza 🇵🇰🇺🇸
Today we're shipping screen-aware dictation. First, we built a speedy speech-to-text (very fast, ~450ms). But, many products do this! So we went further. Now dictate using your screen as context. In Claude Code, it writes the prompt. In G-Mail, it replies in your voice. Demo:
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wei-wei
wei-wei@wuweiweiwu·
2024: a yc application and a thesis few people were excited about today: - $15m series a - notion, xero, and some of the world's biggest media companies and storefronts trust us with every release - grew from 2 people to 16 - 1,000x more test volume than a year ago - shipped web, android, ios + free self-serve 2 years ago i was burning four hours every thursday manually testing releases, telling myself there had to be a better way this june our agents analyzed 62,052 test failures that's 2,000+ hours nobody had to waste, and a lot of bugs your users never met some mornings i just sit there like… how is this real lol if you're building right now, go chase the problem everyone else already made peace with the fact that nobody's excited about it yet is usually why it might just work out
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Browser Use
Browser Use@browser_use·
Browser Use v4 is now available via API. ⚡️ Automate real work with a single request. A full agent, working for you in Browser Use Cloud: > Browsers with logged-in profiles, proxies, live view > Environments reusable across runs via workspaces > No scripts, no selectors, no hassle Send a task. Watch it get done. Try it now ↓
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nico laqua
nico laqua@nico_laqua·
Today, @UseCorgi is excited to expand into trucking insurance. The U.S. freight trucking industry is projected to be as large as $906B in 2026, yet it is one of the most underserved segments within commercial insurance. Prior to Corgi, trucking companies had to wait days (or even weeks) to get coverage, deal with drawn-out claims settlements and inaccurate pricing due to fragmented data across the many layers (brokers, MGAs, etc.) between the customer and the policy. We combined AI with 30+ years of trucking insurance & underwriting experience to offer: - Commercial auto liability - Cargo insurance (annual/per-load) - Carrier-level service (instant quotes, flexible coverage, claims handling)
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Giga
Giga@GigaAI·
Everyone is trying to build a support agent. Now you can build one in your CLI that resolves 90% of your support tickets. Today we're launching the Giga CLI. pip install giga-sdk Build, test, deploy, and roll back your AI agents like production software. This is the workflow our customers use to operate AI agents resolving 100,000+ support tickets every day. → CI-gated deployments → GitHub-powered knowledge base syncs → Bulk conversation analysis → Integrating Coding Agents directly into Giga Available now on PyPI.
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Unsloth AI
Unsloth AI@UnslothAI·
We’re releasing Gemma 4 NVFP4 quants that run 1.5× faster on your GPU. Gemma-4-12B NVFP4 works on 11GB VRAM. 26B-A4B hits 13K tok/s (B200). Unsloth NVFP4 enables faster, more accurate 4-bit Blackwell inference. Blog: unsloth.ai/docs/basics/nv… Gemma NVFP4: huggingface.co/collections/un…
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Prasanna S
Prasanna S@myprasanna·
Launching @vorfluxai : The autopilot for software engineering. I was prev co-founder / CTO of @Rippling ($10B) and #1 coder in India. Vorflux is my high octane Ferrari. Every AI coding tool still makes you fly the plane. That's the copilot model: you stay in the seat, approving every turn. The models quietly got good enough to fly the whole route, but the tools never caught up. So we built the autopilot. @vorfluxai raised a $15M seed by @ycombinator @peakxvpartners @alliancedao @parkerconrad @jake_zeller @balajis @nivi @metakovan @lmrankhan @nikitabase @0xrwu @ayushjaiswal @mattshumer_ @eshamanideep @sreeramkannan @dvcoolster @nusimow @TeddySolomon11 @ashtoncofer @rvivek etc Drop your biggest engineering bottleneck below. I'll reply with how I'd attack it with Vorflux, and hand you $200 in free credits to bang out your backlog. Our full thesis 🧵👇
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Y Combinator@ycombinator·
Congrats to @JackOswald10 and @singularitydefc on their $80M Series A at a $400M valuation! They're building low-cost missile-based air defense interceptors designed to be produced at automotive scale. The founding team includes alumni of SpaceX, Tesla, Anduril, and Lockheed Martin, alongside operators who sold more than $12B in air defense systems over their careers. They run multiple flight tests a month and are building production lines larger than any comparable US system. tectonicdefense.com/interceptor-st…
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Jared Friedman
Jared Friedman@snowmaker·
I'm excited to finally be able to talk about @JackOswald10, who is building one of the most important companies in the world right now. We've all seen from Iran that not having a scalable air defense system is a critical problem for the US military. That's what Jack and the Singularity team are solving. I first met Jack when he was a student at MIT, but the story goes back way before then. Jack built a 10,000 lb thrust solid rocket motor *in high school*. He spent his undergrad years at MIT working on the Raptor engines at Spacex. He was the first hire at Tom Mueller's startup Impulse Space while still in college. If you tried to imagine the perfect person to start this company, you'd picture Jack. Because this technology is sensitive, Singularity had to stay in stealth for a long time. Over the past two years, they've quietly raised $80M and built one of the best teams in the industry. In particular, they invested early - much earlier than most startups - in building a manufacturing team that knows how to scale low-cost mass manufacturing. The current defense industry is designed to produce a small number of high cost systems, which is why we're in such trouble right now. Only a new company that's built from the ground up for mass production will be able to meet the needs we have now, and that's what Singularity is.
Jack Oswald@JackOswald10

Introducing Singularity, a defense company focused on protecting people. I'm incredible proud of this team and mission.

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Raphael Schaad
Raphael Schaad@raphaelschaad·
NYC Designers! Super excited to get together for a Happy Hour this Wednesday. If you're a designer that's ever thought about starting a company yourself, or are currently a founder looking to build a culture of first-class design at your startup, this is for you:
Y Combinator@ycombinator

YC is coming to NYC next week! 🗽 We're hosting a happy hour for designers with YC's @aaron_epstein, @raphaelschaad, and @eve_bouff. If you're a designer who wants to build, come hang. RSVP: events.ycombinator.com/nydesignhh-sum…

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Pablo Omeñaca
Pablo Omeñaca@houmland·
We built Karumi Copilot to kill the follow-up demo. Today, we’re launching Karumi Copilot: an AI product expert that joins your sales calls with you and demos the product live. No more vague product explanations. No more “I’ll show you later.” No more “Let's schedule a deeper demo.” The AE remains fully in control and brings Karumi in whenever deeper product expertise is needed. Our copilot will share its screen, show the latest features, or answer technical questions by voice in real time. The result: 🏃‍♀️ Accelerate sales cycles 📑 Increase close rates 📲 Empower every seller with instant product expertise Teams achieve 14% higher win rates and 27% shorter sales cycles after only one month. Think it sounds too good to be true? Comment COPILOT to try it with your product.
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Paul Graham
Paul Graham@paulg·
Before vibe coding became a thing, programming was already evolving in that direction. It already increasingly consisted of installing and configuring stuff other people wrote, without reading the source.
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screenpipe (YC S26)
screenpipe (YC S26)@screenpipe·
introducing screenpipe: it records and learns how you work and turns it into a searchable memory, SOPs, and AI agents open source, local-first, 20K+ GitHub stars, 1,900+ forks, and 130+ contributors
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Hudson
Hudson@hudson_gri·
we're excited to launch Prized - Lovable for internal tools unlike other AI builders, your company data is already there: connected, scoped to what you should see, audited on every access. no copy-pasting credentials, no data plumbing. prefer building with your own coding agent? bring it, it plugs into the same governed sandbox. here's the thing: your ops, support, and finance teams are already building tools with AI. straight from company data, no permissions, no audit trail. security is assumed to be fine because it's "just internal." it's not. so we built them a place where it's safe. describe the tool and watch it take shape, ship it in one click, and it deploys behind your company's sign-in
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