🧵 1/ The rise of agentic AI is inevitable. 🤖💸 But there’s a missing layer no one talks about enough: Financial infrastructure for autonomous agents. Enter: $Clawbank @clawbankco 👇

Today we're releasing the first personal assistant you actually own ⭐ @Muse: trains Meta's AI on your data @bot: keeps rights to your data forever @NousResearch cloud: trains on it & shares it with third parties Aeon Connect runs your agent in the cloud in one click, on your own GitHub. We don't keep a copy of your data. And it still works for you 24/7.

Anyone can launch a token on Robinhood Chain, and most of them have nobody building anything behind them. Hey Research Lab (@HeyResearch) was built around one question: "WHO IS ACTUALLY SHIPPING?" Here is my breakdown of how it works and why @HeyResearch matters.

What if you could drop any contract address into Telegram and instantly see whether the project is still building? Shipping activity. Project progress. Evidence.

Hey Research Terminal beta access will be opened today. The first Research Terminal built around builder activity on Robinhood Chain. Track what projects are actually shipping across code, releases, contracts, usage and market activity, all in one research workspace. See builder signals before they become obvious on the chart. Ask HEY what changed. Open the evidence. Research deeper. Built for researchers, utility hunters and anyone looking for projects the market may not have fully noticed yet. Beta access will be opened today.

Stay tuned fam because we're cooking strong stuff these days! 👨‍🍳🌟

To celebrate the Hey Research Terminal beta, we’re launching the $HEY Research Lab Thesis Challenge with $1,000 USDG in prizes. 🥇 $500 USDG 🥈 $300 USDG 🥉 $200 USDG Explore Hey Research Discovery and the Research Terminal, then publish an original X thread explaining: → what Hey Research Lab is → how Hey Research Discovery + Hey Research Terminal work together → how you would use them for research → why this matters for finding and understanding projects on Robinhood Chain You don’t need the biggest account or the most engagement. The clearest, strongest explanation wins. To enter: mention $HEY, tag @HeyResearch, include heyresearch.xyz, then submit your thread in the Hey Research Lab Telegram chat. $1,000 USDG. 3 winners. Celebrate the beta by showing us how you understand Hey Reaearch Lab. Contest period: 7 days

Hey Research Terminal is now live in (beta) The first Research Terminal built around builder activity on Robinhood Chain. Find utility projects that are still actively building, then see exactly what they’re shipping and whether market attention has caught up yet. Bug? Feature idea? Tell us. We're listening. heyresearch.xyz/terminal

Tomorrow, early beta access opens for the Hey Research Terminal. A research workspace for crypto researchers and gem hunters to find projects that are still building. Beta opens tomorrow.

Hey Research Terminal now reads Uniswap on Robinhood Chain. → "View on Uniswap" only when the chain proves it: the v4 PoolManager or the official v2/v3 factory. Forks are never called Uniswap. → Indicative quotes from the Uniswap Trading API, on your press only. Market beside the builder. Never inside it. heyresearch.xyz/integrations… @Uniswap @RobinhoodApp

just applied for a @UniswapFND grant. honestly a bit nervous posting this 🦄 we're a small team building Hey Research Lab on robinhood chain. lots of late nights. the idea is simple: price tells you what the market is doing. we want to show what the builder is doing. before asking uniswap for anything, we didn't want to just write a nice proposal. we wanted to actually understand what's on chain. so we read every uniswap v4 hook on robinhood chain. all of them. what we found surprised me: → 24,287 hook contracts → 321,938 pools using a hook → 16 hooks carry 83% of those hooked pools → 1 launch-protocol hook alone sits behind 189,583 of them → 21,508 hooks were used exactly once → 96.4% hook into swaps, 48.1% can rewrite the swap amount → on 15 sep, 5,515 hooks with the exact same permissions appeared in about 8 hours, one pool each → of 1,920 pools labelled "uniswap", only 437 actually came from uniswap's own v2/v3 factories that's when it clicked for me. counting hooks isn't counting builders. somewhere in that long tail are real teams shipping real things on @Uniswap, and right now almost nobody can see them. that's what we want to build. a map of who actually builds here, checked on chain, open for anyone to use. detection is already live. attribution is next. application's in. whether it gets picked or not, we're building this anyway. it's the thing we wished existed when we started on robinhood chain. data read 1 oct 2026 · @RobinhoodApp

The day is coming. The first Research Terminal built for Robinhood Chain is almost here. Project timelines. Builder activity. Market context. Source-backed evidence. Research and execution in one workflow. Hey Research Terminal. Coming soon

Hey Research Terminal is almost ready. Early beta access opens within the next 3 days. For the first wave, access will be available to: → $HEY holders with at least $500 worth of $HEY at the time of eligibility check → Selected crypto researchers → Selected KOLs The Terminal brings project timelines, Builder Momentum, market context, source-backed build events, token verification, research intelligence and execution into one workflow. Discover → Verify → Understand → Decide → Act. If you’re a researcher or KOL and want early access, DM us. Holder access details will be shared when beta opens. Research first. Execution second. Request beta access here: heyresearch.xyz/terminal

We’re excited to announce an official partnership with @Orus_agent , the autonomous desk for Robinhood Chain. Hey Research Lab × Orus Orus strategies can now use Hey Research Lab data as optional entry filters before execution, including: → Token verification → Verified builder + activity state → Recent ships and releases → Still Building through drawdowns → Contract/deployer observations → Pool depth, distribution + HoodLock locks Customize your own filters. You choose the rules. Missing data never silently passes, and Hey Research Lab never controls exits. Orus handles execution. Hey Research Lab supplies the research layer. orusagent.xyz/docs#hey-resea… heyresearch.xyz $HEY x $ORUS

Robinhood Chain launches a new token every 7 seconds. A chart can tell you what moved. It cannot tell you who is still building. That is the problem Hey Research Lab is built around. We read the work, not just the chart: releases, deployments, verified source code, project updates and other source-backed evidence, continuously indexed and kept with its origin. Today: → 4,090 projects published after review → 1,684 verified builders → 2,572 building events recorded with sources → 547,168 records indexed from Robinhood Chain and its launchpads Then we make that intelligence easier to navigate. Still Building surfaces projects continuing to execute while the market moves. Under the Radar highlights projects building steadily while market attention remains limited. And next comes the Hey Research Terminal, bringing project timelines, builder metrics, market context and evidence into one research command centre. Built for people. Readable by machines.

Development update from Hey Research Lab We’ve been tightening the research layer and improving how the platform handles incomplete or misleading data. → Watchlist intelligence now flags when a project: starts shipping faster or slower goes quiet or becomes active again gets verified changes a contract has a @HoodLockRH unlock due within 14 days → 21,231 historical days that previously displayed “$0 volume” when the data was actually unavailable now correctly show Unknown. → Projects whose only GitHub source is an organization page we have not successfully read now show Unknown, not Dormant. → Releases from forked repositories no longer count as a project’s own Shipping Evidence. And next: Hey Research Terminal is coming. Project timelines. Builder metrics. Market context. Source-backed events. A deeper research command centre for understanding what projects are actually doing over time. We’re continuing to make the system stricter, clearer, and harder to misread.

This is exactly the part of Robinhood Chain we’re most interested in. Composable assets create the primitives. The next question is: who is actually experimenting on top of them, and who keeps shipping after the initial launch? That’s what we’re trying to map with Hey Research Lab, a historical builder-intelligence layer for Robinhood Chain. The primitives are here. Now we need better visibility into what builders create with them. Would love to show you what we’ve been building.

That’s the problem we’re building Hey Research Lab around. AI makes it incredibly cheap to make a project look legitimate. A polished website, trailer, narrative and hype can all be created in days. What’s much harder to fake is continuity. Do they keep shipping after launch? Do releases continue? Does the product actually change? Does the public evidence still hold weeks or months later? Anyone can look real for a moment. We’re interested in who can keep proving it over time. -If you’re building for real, make the evidence easy to find. -If you’re researching, follow the teams that keep showing up. That’s what Hey Research Lab is being built for.

An open letter on what I want Hey Research Lab to become The longer I build Hey Research Lab, the less I think of it as a website. I think of it as infrastructure for preserving what actually happened. Crypto does not have a shortage of data. We already have charts, explorers, repositories, contracts, releases, liquidity, documentation, market feeds and onchain activity everywhere. The real problem is that almost none of it speaks the same language. A release has one timestamp. A deployment exists at a block. A repository carries another history. A market reading arrives from a provider at a different time. A website can change without an event log. Sources can become stale, disappear or disagree. Collecting more data is not the hardest part. The harder problem is normalising those signals, resolving them to the correct project, preserving their provenance, preserving uncertainty, and making them queryable on the same timeline. That is the problem I want Hey Research Lab to spend years solving. 1. A token is not a project. Anyone can deploy an ERC-20. Price, volume and market cap do not prove that a team is building, and a repository does not automatically prove that it belongs to a token. That is why HEY deliberately separates different facts instead of collapsing everything into one score: builder activity, token-market state and token verification. Builder intelligence is derived from building evidence, while market data remains context rather than quietly becoming proof of development. I think this separation becomes more important as the system grows. Once an intelligence platform starts mixing observation with interpretation, it becomes very easy to create confidence that the underlying evidence never justified. 2. Unknown must remain unknown. This sounds simple, but I think it is one of the most important engineering principles in the whole system. If HEY has never measured something, the answer is not zero. If a provider failed, the answer is not “nothing happened.” If a contract could not be decoded, zero activity is not the same as no activity. If a contributor count was never recorded, publishing zero contributors would be an invented fact. I want HEY to be a system that fails honestly. Sometimes the correct answer is simply UNKNOWN. A research system should never sound more certain than its evidence. The codebase already treats false zeroes, unread measurements and stale observations as integrity problems rather than cosmetic issues. That principle matters because filling every cell in a dashboard can make a product look complete while quietly making the dataset less truthful. 3. Every important event should carry a receipt. I do not just want HEY to say that something happened. I want the system to know: 1. When was it published? 2. When did HEY record it? 3. Which source produced it? 4. How precise is the timestamp? 5. Was it verified? 6. Does it count as meaningful building? 7. What other project, market or onchain context existed around it? Those distinctions matter. A GitHub release can carry an exact timestamp. A feed may contain only a date. A weekly code summary describes a period, not one exact second. A contract event may exist at block time. Something discovered through historical backfill should not pretend HEY observed it live. The Research Terminal already treats these differently through exact, date-level, week-level, observed and scheduled precision rather than pretending every event has the same temporal accuracy. That is the kind of system I want. Not more markers. Better receipts. 4. The interesting unit is not an event. It is a timeline. A release by itself is useful. A deployment by itself is useful. A liquidity change by itself is useful. The more interesting questions appear when those events exist on one time axis. What was happening before the market noticed? 1. Did development velocity accelerate? 2. Did release cadence change? 3. Did a contract interface change? 4. Did a team go quiet for sixty days and then resume? 5. Did an integration go live while market attention was still low? 6. Did the market react immediately, days later, or not at all? HEY is already deriving intelligence such as Build Velocity, Release Cadence, Consistency and Discovery Lag from the same underlying meaningful-event history rather than inventing separate stories for different screens. This is where the Hey Research Terminal becomes much more interesting to me. A candlestick chart tells you when the market moved. HEY should help reconstruct what the project was doing before, during and after that movement. Not to claim causation. To provide context. That distinction matters. Research should be able to show events that happened before a market change without turning correlation into a story the data cannot prove. The current market-move tooling is explicitly designed as a sequence, never a cause. 5. One project should have one canonical truth. As a system gets larger, a dangerous problem starts appearing. The homepage implements one rule. The project page implements another. The API creates another. MCP creates another. The Terminal copies the logic again. Eventually the same project has four different answers. I do not want that architecture. If HEY defines what counts as a release, there should be one canonical definition. If it decides which market reading is current, every surface should inherit that decision. If “last meaningful ship” has one meaning, a partner integration should not quietly invent another. We have already found cases where duplicated rules caused the same project to produce different answers across surfaces, and that has made the direction increasingly clear: one definition, many surfaces. Canonical logic should live as low as reasonably possible in the system. Tests should make drift expensive. A webpage, API, SDK, MCP tool or partner integration should all be able to answer the same question from the same underlying truth. That becomes especially important if other products eventually build on top of HEY. 6. The interface should become only one consumer of the dataset. This is probably where my thinking around HEY has changed the most. Originally, it was natural to think about pages. Then filters. Then project intelligence. Then the Terminal. Now I increasingly think in terms of queries. Imagine asking: “DD this contract address.” Behind one request, HEY could eventually resolve the project identity, inspect source provenance, reconstruct its shipping history, retrieve deployments and contract changes, verify token identity, inspect locks and relevant onchain state, calculate development velocity, retrieve market context and return the evidence behind every answer. Not another scanner that outputs: SAFE. RUG. BULLISH. BEARISH. I think a better research response looks more like: FACT: this contract was deployed at this block. FACT: this repository published this release on this date. DERIVED: release cadence increased relative to the previous period. FACT: these contract functions were added or removed. UNKNOWN: HEY cannot establish that this repository belongs to the project. UNKNOWN: this metric has not been measured yet. Then the researcher decides what those facts mean. This is already close to the philosophy behind Ask HEY. Its deterministic layer uses HEY records and labels information as FACT, DERIVED or UNKNOWN. Even the optional AI layer is designed to remove unsupported claims rather than display them as guesses. That is what makes the AI side interesting to me. AI should not manufacture confidence on top of incomplete crypto data. It should make structured evidence easier to interrogate. The same applies to contracts. HEY is beginning to preserve canonical function and event signatures and detect when verified contract interfaces change. Instead of simply saying “the contract changed,” the system can identify what functions or events appeared or disappeared. And this intelligence should not have to remain inside heyresearch.xyz The same underlying data can eventually be consumed through the Terminal, MCP, APIs, agents, extensions and integrations with other products. That is why I increasingly care about the architecture underneath the interface. AI is also changing the problem itself. It is becoming extremely cheap to look legitimate. A project can generate a website, documentation, branding, code and marketing material faster than ever. What remains expensive is continuity. If someone claims to be building, what does the evidence look like two weeks later? Two months later? Six months later? Did meaningful releases continue? Did the codebase evolve? Did deployments match the story? Did repository provenance remain credible? Did the contract interface evolve? Did the evidence remain internally consistent? That is why I keep coming back to history. The most expensive data to recreate tomorrow is yesterday's state. You can redesign an interface. You can copy a feature. You can build another dashboard. You cannot go back six months and begin observing something six months ago. That history either exists or it does not. Every event HEY records today becomes context for a question we may not even know how to ask yet. Every timestamp improves temporal resolution. Every source strengthens provenance. Every correction improves the rules used to interpret the archive. Every new integration creates another way to query the same underlying record. Data compounds before most people realize it has value. There are still hard problems everywhere: entity resolution, repository attribution, spoofed contributions, inconsistent providers, historical gaps, impossible market readings, contract upgrades, disappearing sources, ambiguous ownership and timestamps with different levels of precision. Those problems do not make me less interested in building HEY. Those are the reasons I am interested in building it. The goal is not another crypto dashboard. It is an intelligence layer that turns fragmented public evidence into structured, timestamped, attributable and queryable project history without pretending to know more than the evidence allows. A place where builders can demonstrate that they kept building. A place where researchers can reconstruct what actually happened. A dataset that agents can reason against. And eventually, a historical graph of projects, builders, repositories, contracts, wallets and events that becomes more useful the longer it exists. That is where I want to take Hey Research Lab. There is still a lot left to build. Good. That means the interesting problems haven’t been solved yet. Still building.

We’ve been quiet for a reason. Over the past few weeks, we’ve been heads down building new features and carefully planning the next phase of WaybackClaw. Starting next week, a series of new feature releases, followed by a major announcement we’ve been preparing behind the scenes. The building never stopped. Now it’s time to start shipping publicly again. Next week, WaybackClaw moves into its next phase. $WBC | waybackclaw.space