Y Combinator wants to fund more crypto startups that solve real problems

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https://cryptoast.fr/y-combinator-veut-financer-plus-startups-crypto-resolvent-vrais-problemes/

For years now, the essential startup accelerator Y Combinator has taken a close interest in the cryptocurrency sector by regularly including ecosystem projects in its financing programs, accompanied by a substantial investment (several hundred thousand dollars) in exchange for shares in the companies concerned.

Among the selected projects are decentralized finance (DeFi) protocols, trading or infrastructure tools, but also historic players in the sector, such as the NFT platform Opensea or the American giant Coinbase, which undoubtedly represents its biggest success in the field.

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A dynamic which seems set to continue, according to recent statements by the advisor and guide at Y Combinator in the crypto, stablecoin and AI agent infrastructure sectors, Nemil Dalal, on the X network, as part of a final call to startups before the application deadline set for next Monday.

In this publication, he specifies that his company is “looking forward to financing more crypto startups that meet concrete financial needs”, particularly in connection with the institutional evolution of the ecosystem recorded over the past year, mentioned very explicitly in the official Y Combinator document.

Last year, for the first time, crypto adoption was driven by institutions rather than individuals. Unlike previous cycles, this growth has been driven by concrete financial needs, from hedging oil risk to accelerating corporate money transfers between countries, rather than simple speculation. Adoption will grow exponentially from here on out.

According to Y Combinator specialists, the cryptocurrency ecosystem will evolve in several important directions, which include: tokenization of major assets, starting with stablecoins and stocks and then moving to real estate securities, debt and commodities; the issuance of new tokenized assets (capital shares of startups and micro-securities), which represent “the most interesting category in the long term”; the emergence of financial primitives (centralized or decentralized) for trading, lending and derivative products, in order to “make these assets even more productive”; and AI agents who will become major participants in financial markets, using these new tokens and primitives.

Machine-translated from French