Nick Hansen

I've learned a handful of lessons since going to work in web3... here is one: if you're learning about a token opportunity (e.g., "buy it while you can"; "don't miss this!"; etc.) on X, it's probably too late. DYOR... and if you need help, don't trust people on X you don't know.

Great read!

@0xrhota Nice. But can it support a AI-powered trading bot?

@TwentyTwoNode - goes on almost any pasta - also on any cream-based soup - can be eaten alone, healthier and better macros than any protein bar

parmesan cheese has so many great use cases

@0xsamgreen Love this! Made me think of Clayton Christensen and working backwards... start with the customer's most important 'job to be done,' then reverse-engineer the entire business model (i.e., profit formula, resources, and processes) to deliver it profitably. hbr.org/2008/12/reinve…

A friend of mine recommended Poor Charlie's Almanac by Munger (a great book). In it, Charlie repeatedly quotes the mathematician Carl Jacobi: "Invert, always invert," meaning to define the desired end state and then work backward to determine the required actions to achieve it. Something cool is that a key (or maybe *the* key) reinforcement learning technique is called the Bellman backup, and it's based on Jacobi's work.

"Mostly right, most of the time" doesn't cut it anymore. AI agents executing onchain strategies autonomously. Smart contracts settling in seconds. Cross-chain protocols composing in real time. But all of it depends on one thing: the data being right.

This is a bigger shift than it may seem at first glance. Historically, blockchain data access still looked very Web2: accounts, API keys, dashboards, and manual billing. x402 changes that model. An agent can now: → discover a subgraph endpoint → receive pricing via HTTP 402 → pay in USDC on Base → immediately access indexed blockchain data No account. No API key. No human in the loop. The important shift is that payment becomes the authentication layer itself. As AI agents and autonomous workflows grow, machine-to-machine access to blockchain data will matter a lot more than traditional developer onboarding flows.

👏

The thing that excites me most about AI is the potential for companies to start writing clearer and more helpful assembly instructions 😂

The Miami Beach Convention Center has 19,000 doors are we are allowed to use exactly 1 of them.

Great to speak with @BlocksterCom today at Consensus - the future is bright ✨

Institutions are exploring #blockchain tools—but are they truly ready to embrace decentralized ecosystems? @graphprotocol is helping bring trust, transparency & structure to that conversation. @TwentyTwoNode breaks it down. Stay tuned for the full interview with @Ericspivak🎤 @consensus2026

I wonder what solution they’ll use to get access to the world’s blockchain data 🤔 IYKYK

The official Agent0 Subgraphs are now live on @base, @BNBCHAIN, @ethereum, @monad_xyz, and @0xPolygon. Real-time indexing for every ERC-8004 agent — identity, capabilities, reputation, validation. Built as a public good with @graphprotocol.

The Graph is heading to Consensus 2026, May 5–7 at the Miami Beach Convention Center. We’ll be on the ground with a booth presence throughout the conference. If you’re thinking about what it actually takes to support production workloads onchain, this is where the conversation is moving: data availability, verifiability, and auditability at scale. From subgraphs to streaming data services, the focus is shifting from access to reliability and trust. If you’re exploring agentic payments, tokenized assets, or enterprise-grade blockchain infrastructure, come find us on the floor.

In nearly every life circumstance, jumping to conclusions is a fatal flaw.

@agent0lab is cooking up some fun stuff. In a world of billions of agents, trust assumptions will destroy countless ai founders.

Blockchain collapses the settlement timeline from days to seconds. When the @The_DTCC ran its Great Collateral Experiment, settlement that once took one to three days happened in seconds.That's the upside. The downside is that when data is wrong in a real-time system, there is no buffer. The implications and how The Graph helps ⬇️

JUST IN: 🇺🇸 US national debt surpasses size of the entire United States GDP for first time since World War II.