Granular explanation of complex stats, data science and ML topics in simple language. Can't recommend enough after using it as my guide into the space several years ago. I wish projects like Open Campus could elevate this type of creators more. youtube.com/@statquest

"If you build on top of an open source software, your software also shall be open sourced" - honest approach , leading to higher diffusion of progress 🤔 vitalik.eth.limo/general/2025/0…

Learning more about where my taxes are going with Venice 🤝 venice.ai/blog/credit-ca…

Having seen numerous token launches: both successful and failed, my litmus test is: "If your business model survives and scales without tokenization, you don't need token". It's always appealing to fundraise via token. However, this short-mid term cash gain entails mid-long term

Living in a developed country might create an illusion of globally secured basic needs/rights. When I talked about solving for country-wide Internet outages, I was told it's an apocalyptic scenario. Meanwhile, no mobile Internet in my home town for ~1 mo, because politicians

I was once told: "You can do what you like and earn less, or you can do what you don't like, but earn more." My question is: "If you got $1B cash now, but you had 1 year left to live, would you take it?" Bottom line - no amount of money is worth a happy life, doing what you

Linear vesting isn't viable for B2C crypto because it creates mass linear liquidations, whereas project growth and demand are non-linear.

AI proves great for coding PoC, but once I get to 5K+ lines of code, it starts forgetting context, mixing up module responsibilities, and introducing redundancy. It's still great, just requires debugging and actually understanding every line it outputs.

Working with CEX data is like navigating a night forest without a torch. If we're talking about advancements in tokenomics stemming from founders' accountability to their community, data availability is a MUST. The paradox is that CEXs both hinder crypto by defeating

Same with vibe-coded (d)apps, which I'm seeing more of in production. Web3 is naturally more risk inclined, which makes it a good market for vibe-coding audit tools, employing some sort of ML and common attack vectors to scan for CVEs. Similarly to how Docker Scout does it for

Who wants to take AITA for trial run?? The Tokenomics team at Animoca Brands have been hard at work over the last few months digitising all of our combined knowledge to build your Waifu tokenomics advisor. Giving early access to a handful of founders. If you want to take it

What are your favorite web3 reputation systems and why?

Dev rule #1: nobody cares how hard you worked - if it doesn't solve the problem, you scrap it and start over. Don't fall in love with your solution, fall in love with the problem.

Build venture-scale. Or nothing. Introducing The R[3]sidency: ⚡ 8 teams ⏱ 16 weeks 💸 £250K investment 🎯 Demo Day in London Backed by Fabric Ventures, Coinbase 🛡️, Animoca Brands ✈️Korea Blockchain Week 🇰🇷, Founders Factory with ecosystem support from Base. Applications now open 👉 r3sidency.xyz

As tokenomics become increasingly commoditized, the paradigm should shift toward discrete token services: - Dynamic unlocks - Treasury management - Community distribution design, etc. A-Z consultancy is viable only for a handful of the largest Web3 platforms and for Web2 brands.

Bad take First, only in crypto (DEX's in particular) is there this kind of transparency. *Everyone* can see the action that this account took. Nowhere in tradfi is such a thing possible. Second, that a whale likely had knowledge of a soon-to-be-public global news event, is not

↩️Onchain txn in 2019: "It’s gonna take some time & some money - might actually fail, we are not sure" 🗓️Onchain txn in 2025: "It’s gonna take $0.19 and ~12 seconds - will fail if slippage tolerance exceeded, but you can configure it" 🗓️AI agent txn in 2025: "It’s gonna take