From 24 to 1 to 5: YC No Longer Invests in Crypto, But Crypto Hasn't Disappeared

marsbitPubblicato 2026-02-20Pubblicato ultima volta 2026-02-20

Introduzione

The article analyzes Y Combinator's shifting investment strategy in crypto, moving from a peak of 24 crypto startups in a single batch (Winter 2022) to a low of just 1 (Summer 2024), with a recent modest rebound to 5 in Winter 2026. The key insight is that while the *number* of crypto investments has drastically fallen, the *nature* of these investments has fundamentally changed. YC is no longer funding traditional crypto-native sectors like L1/L2 protocols, DeFi, or NFTs. Instead, the five recent investments are infrastructure companies that use crypto as a backend tool to solve specific problems, with the end-user often unaware of the underlying blockchain technology. Examples include: * **Unifold:** A Stripe-like API for crypto deposits. * **SpotPay:** A cross-border neobank powered by stablecoins. * **Sequence Markets:** An execution engine for digital asset trading. * **Orthogonal:** A payment gateway for AI agents to pay for APIs, utilizing crypto for machine-to-machine micropayments. * **Forum:** A regulated "attention exchange" to trade on cultural trends, potentially involving tokenization. The author, a professional in both crypto and AI, concludes that Silicon Valley's mainstream is redefining crypto's value proposition: its greatest potential is not as a standalone industry but as invisible infrastructure for other sectors, particularly in stablecoin financial services and emerging fields like AI agent economies. The message for crypto builders is to f...

Author: aiwatch, Crypto industry 6+ years, deeply involved in the AI track for the past two years, based in Silicon Valley, focused on GenAI product analysis and Crypto×AI cross-domain research.

I've been in the Crypto industry for six or seven years, and for the past two years, I've also been deeply involved in the AI track, based in Silicon Valley. Being in both circles, a very clear feeling is: in the mainstream Silicon Valley circles, the term Crypto is mentioned less and less, but the things Crypto does are being used more and more.

I want to bring back some signals from the AI side for Crypto practitioners to reference.

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Domande pertinenti

QWhat is the main trend in Y Combinator's investment strategy regarding crypto companies, as described in the article?

AYC is no longer investing in crypto industry per se, but rather in companies that use crypto as infrastructure to solve real-world problems, with users often unaware they are interacting with blockchain technology.

QHow did YC's crypto investment numbers change from the peak in 2022 to Winter 2026?

AYC's crypto investments peaked in 2022 with 24 companies in Winter and 20 in Summer (44 total), then dramatically dropped to just 1 company in Summer 2024, before slightly recovering to 5 companies in Winter 2026.

QWhat are the two most notable crypto-related projects from YC Winter 2026 and what problems do they solve?

AOrthogonal creates a payment gateway for AI Agents to make micro-payments for API calls using crypto, while Forum is building a regulated attention exchange that quantifies and allows trading of attention as an asset class.

QWhat significant shift occurred in YC's Request for Startups (RFS) regarding crypto in Spring 2026?

AYC's Spring 2026 RFS specifically mentioned 'Stablecoin Financial Services' for the first time in nearly two years, highlighting regulatory developments and opportunities in yield-bearing accounts, tokenized real-world assets, and cross-border payment infrastructure.

QAccording to the article, what does the author believe is the most accurate interpretation of YC's changing crypto investment pattern?

AThe author believes the pattern indicates crypto is being redefined - its greatest value may not be as a standalone industry but as infrastructure for other industries, where the best crypto products are those where users don't even notice crypto's presence.

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The Niche Consensus Among Elites: Has College Become an Expensive Waste?

**Summary:** A growing "anti-college" movement is gaining traction among elite circles in Silicon Valley, challenging the traditional value of a four-year university degree. Proponents argue that college has become an expensive, slow, and increasingly irrelevant waste of time, especially in the fast-paced tech world where opportunities pass by quickly. The movement is led by figures like billionaire Peter Thiel, who criticizes universities for high costs, ideological indoctrination, and stifling true innovation. His "Thiel Fellowship" pays young people to drop out and pursue ventures. Companies like Palantir Technologies (co-founded by Thiel) fuel this trend with programs like the "Meritocracy Fellowship," which offers high school graduates paid internships as an alternative to immediate college enrollment, promising a practical "Palantir Degree." Key drivers include: 1. **Economics:** Skyrocketing student debt versus the allure of immediate, high-paying tech jobs or startup funding. 2. **Technology:** AI and online tools lowering barriers to self-education and product development, making formal instruction seem inefficient. 3. **Culture:** A backlash against perceived "woke" ideology and DEI policies in universities, coupled with a belief that these institutions suppress meritocracy and masculine drive. The movement is notably male-dominated. Critics, like economist David Deming, warn against overgeneralizing from dropout success stories (survivorship bias). He emphasizes that genuine autodidacts are rare, corporate training is narrowly focused, and the "college wage premium" remains high for most people. University liberal arts education, he argues, builds adaptable problem-solving skills and broad perspectives. The debate highlights a deeper crisis in education. The core model of the modern university appears increasingly mismatched with the speed of the information age. The movement signals a shift in the locus of learning from institutional "education" to personal, active "learning" powered by the internet and AI. Ultimately, this may not mean the end of university, but rather a painful evolution. The future likely holds more hybrid, personalized, and lifelong learning pathways. The central question becomes: in a world changing faster than any curriculum, how do we best learn?

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From Subsidies to Token-Based Pricing to Price Cuts: Is OpenAI Sparking a Price War? Is the Inflection Point for Token Economics Nearing?

The commercialization of generative AI is facing a critical inflection point as a potential price war looms. According to The Wall Street Journal, OpenAI is considering a significant cut to its token fees to compete with rival Anthropic, signaling a shift from a growth-at-all-costs model focused on token consumption. This move comes as both companies, reportedly losing billions on compute, prepare for IPOs, and as enterprise customers face "bill shock" from switching to usage-based token billing. Reports indicate poor ROI, with one analysis finding only 18 cents of every dollar spent on AI tokens generates user-facing value. The industry's initial phases—from flat-rate subscriptions to aggressive subsidies—have given way to a reckoning with real costs. Analysts debate the future: some predict a bifurcation between premium, high-cost models for complex tasks and cheaper alternatives for routine work, while others believe overall spending will still rise as agentic AI increases tokens per task. Notably, Chinese model DeepSeek's low-cost API is gaining traction with U.S. enterprises, adding competitive pressure. The core challenge is redefining value beyond token volume ("tokenmaxxing") toward measurable productivity ("valuemaxxing"), as the entire AI value chain, from cloud providers to chipmakers, feels the ripple effects of unsustainable pricing.

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