PREMIERE: Crypto vs the World w/ Jake Chervinskyand Amanda Tuminelli This is the crypto lawsuit episode. Every single court case -- we cover 5 in this episode -- brings new precedent & new clarity to the crypto space; this is about crypto fighting back Jump in 👇 https://lnkd.in/evS7XptC
Variant
Venture Capital and Private Equity Principals
Brooklyn, NY 3,652 followers
Early-stage crypto fund investing in an internet that turns users into owners.
About us
Variant is an early-stage crypto venture capital firm investing in an internet that turns users into owners. Writing and ideas: https://variant.fund/writing/ Disclosures: https://variant.fund/disclosures/
- Website
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http://variant.fund
External link for Variant
- Industry
- Venture Capital and Private Equity Principals
- Company size
- 11-50 employees
- Headquarters
- Brooklyn, NY
- Type
- Partnership
- Founded
- 2020
- Specialties
- crypto, blockchain, ownership economy, marketplaces, social, web3, and venture capital
Locations
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Primary
Brooklyn, NY 11211, US
Employees at Variant
Updates
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Join industry-leading staking and securities experts Scott Bennett, Jake Chervinsky, Michael Selig, Tiffany J. Smith, and host Evan Thomas for a panel on the current legal and regulatory considerations surrounding staking and liquid staking in the United States.
Legal Analysis of Staking and Securities
www.linkedin.com
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Variant reposted this
Wrote a blog post with Calder Zwerling and Matt Cynamon about the state of hiring and compensation in web3 as we wrap up 2023 and look forward to the new year. Our key observations and insights resulted from an extensive survey conducted by Variant and Union Square Ventures. Check it all out here! 👇 https://lnkd.in/gnfrP7nZ
Building Through the Crypto Cycle: A Variant/USV Portfolio Survey on Web3 Hiring and Compensation
https://variant.fund
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We founded Variant on the thesis that the next generation of the internet would transform users into owners through tokenization. But the application layer has yet to see a proven model for using tokens to grow networks. Rather, distributing tokens has often impeded sustained growth and retention by attracting speculators and mercenaries. Because of these failures, many dismiss application tokens as a category error, but we don’t see it that way. We believe the answer is to keep iterating token design toward a more bottom-up and opt-in ownership distribution model that we call “progressive ownership.” This approach focuses on deepening loyalty among users of applications with product-market fit, and it takes 3 steps: - Build products that serve users’ needs (establish product-market fit) - Use onchain revenue sharing to drive growth, retention, and defensibility (must have revenue to share) - Allow power users to level up into economic ownership by trading income for tokens (go beyond revenue sharing) Read the full playbook here: https://lnkd.in/gENdXryC
Progressive Ownership: A Model for Application Tokens
https://variant.fund
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We were thrilled to lead the Blockaid Series A round. Protecting users' activity onchain is mission-critical to the success of the crypto industry. Blockaid’s engine monitors things like smart contracts, frontends, and URLs in order to protect users from phishing attempts, fraud, and scams. Over the past year, they’ve been working in stealth with some of the biggest names in the space. Every team in the crypto space should be thinking about security. Read more from our announcement post: https://lnkd.in/eiq_wcuz
Investing in Blockaid: Protecting Users Onchain
https://variant.fund
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We are delighted to lead the Modulus seed round. AI is clearly changing the world. But so far, we haven’t seen many major new AI-enabled applications in crypto, because the bar for putting machine learning models onchain is higher than in traditional software settings. AI has also been a centralizing technology: most AI models run on centralized, opaque systems. Modulus is bridging this gap with zero-knowledge machine learning, which uses zk cryptography to prove that the computation done by machine learning models was done correctly, extending the trust assumptions established by smart contract blockchains to offchain models. Read more on why we're so excited about Modulus and zkML: https://lnkd.in/es4zFbaF
Modulus: Zero-Knowledge Machine Learning for Decentralized Protocols
https://variant.fund