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Venture Capital 2.0—the revolution of Machine Learning & Data-Driven VC
medium.com
The lack of quality data on investors has led to a sales-first-oriented venture environment where investors are overpromising and under-delivering.
Medium • Unbundling the unit economics of venture capital via DAOs
Media-first investor
Darren LI • 1 card
Risks to the trend
- LPs too slow to react, VCs lack incentives to admit limitations in current processes
- Poor quant performance
- Downturn in private markets
Katelyn Donnelly • Quant comes to Venture Capital
What happens once everyone on the market excels at designing applications, collecting data, orchestrating network effects, and innovating on a continuous basis? At this point, capitalists have to explore new approaches. Airbnb is inviting stakeholders into its governance, as discussed by Matt Levine here. BlackRock is warning corporate CEOs that th... See more
Nicolas Colin • Why Don't Uber Drivers Own Shares? Now They Could
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Ali Tamaseb • Super Founders: What Data Reveals About Billion-Dollar Startups
These teams are taking their innovations straight to consumers and enterprises who may not vote for the same people nor share the same climate values, but who buy their products and services because they are just simply cheaper and better.
Lowercarbon Capital • Act II: Lowercarbon Capital
Bright-scope, which provides ratings of 401(k) plans for employers, pension fund managers, and individual investors.
Joel Gurin • Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation (Business Books)
I want to talk about one very concrete problem: the tangle of angel investing. This is an area where off-chain web2 tools like Docusign, Hellosign, Carta, and AngelList could be profitably augmented with on-chain web3 tools that have matured over the last several years — particularly the Ethereum blockchain, the USDC stablecoin, and the Ethereum Na... See more