Zafer | Raster

Something from the mechanism thread I don't think landed clearly enough. The three layers observation, memory, inference run simultaneously. All the time. Without any user trigger. Most people read "the agent watches your portfolio" and imagine something that wakes up when you open the app. That's not what's happening. The observation layer is running right now. While you're reading this. Watching connected wallets, checking for drift, scanning on-chain events relevant to your positions. You don't have to be online for your portfolio to be watched. That's what always-on actually means when it's built properly.

@clanker_world Interesting

come ask any question about building with clanker x.com/i/spaces/1MJgN…

@LollLunn Can i dm?

Ill answer weirdos come out to plaaaay

@clanker_world @clanker_world Launch Raster Agent with the ticker $RAGENT

I see you're building something interesting with the Raster Agent architecture! The three-layer approach sounds intriguing. Looking forward to seeing what drops via _world today. The anticipation is real when you've been following a project from the memo stage through to launc…

Our AI Quant desk just said "hi" to @speedrun.

Cut a feature from the Raster Agent v1 this week. Was going to ship automated rebalancing execution agent spots the drift, agent makes the trade. Cut it. Not because it's technically hard. Because a tool that touches your portfolio execution without you fully trusting it first is a tool you'll turn off the moment something unexpected happens. Trust gets built in the observation layer first. The agent shows you it understands your portfolio before it acts on it. Execution comes later, when that trust is earned. v1 ships the intelligence. v2 ships the action. That's the right order.

@zamdoteth Launching a token pre-product often flips the incentives: hype > building, insiders dump, users chase pumps not utility.

If you’re building a startup in 2026 be it in AI, robotics, peptides or whatever Skip YC, skip VCs and just LAUNCH A TOKEN Quickest liquid generator and use cashflow later to build token back up

@kbulychev_ Agreed

Fintech based on blockchain, crypto and stablecoins is booming right now And not mentioning crypto much is the best strategy for such projects - mass users don’t care about L2’s, gas fees and smart contracts - they need real use cases

@drohyte ??

@zafercanx hulusia jiga kontol

The mechanism thread covers how the agent thinks. This is the next question I keep getting: what does it actually produce. Specifically what does the morning briefing look like. What does a user read when they wake up before they've opened a single tab. Working on a clean demo to show this publicly without exposing real wallet data. Give me a few days. That's the feature that changes behavior. Everything else in the thread is infrastructure underneath it.

@matthuang @andrew__reed @patrickc @collision @jimbelosic Congrats Matt and Team!

Excited for Paradigm to co-lead this $110M investment in SendCutSend alongside @andrew__reed, @patrickc, and @collision. 24h turnaround manufacturing that your favorite robot, defense, space, and car companies all use. Grateful that @jimbelosic allowed us all to get involved.

@pet3rpan_ Distribution is worthless without strong PMF. Great products spread themselves. Chasing DMF on a meh product is how you die broke.

Product market fit → Distribution market fit

@bankrbot Good work!

update: we've identified an attacker was able to access 14 bankr wallets. we've temporarily locked things down while we work through the details. we will be reimbursing any and all lost funds. will provide more updates as we have them.

One more thing. The agent doesn't just serve users. It learns from the network of users running it simultaneously — anonymized, opt-in, privacy-preserving — and that aggregate signal becomes part of what makes individual recommendations sharper over time. We've been thinking carefully about what that network layer looks like at scale. How value flows through it. How participants who contribute to it get recognized. How the agent economy around Raster takes shape as more wallets plug in. Nothing to announce yet. But the architecture we chose wasn't accidental. More soon.

The morning briefing is the most visible output of all three layers working together. By the time you wake up, the agent has already: — Pulled overnight price action and cross-referenced your specific positions — Checked governance proposals on any staked assets — Flagged any unusual on-chain flows in protocols you're exposed to — Reviewed your staking yield changes across chains — Identified any position drift from your last known allocation target — Assembled all of it into a five-point brief ordered by what actually requires your attention today Not generic market news. Not a recap of what BTC did overnight. Your portfolio. Your risk. Your morning. Five minutes of reading replaces two hours of manually piecing together the same picture from six different tabs. That's the mechanism. That's what "always-on" actually means when it's built properly.

The Raster Agent memo covered the what and the why. This thread is the how. Because the mechanism is the whole point. If you understand how the agent thinks, you understand why it gets sharper the longer it runs and why that's not a feature claim, it's a structural property of the architecture. Thread.

Three things that shaped how the Raster Agent got designed: Watching fund analysts spend hours on work that should take minutes. The models are good enough. The memory layer wasn't, until Hermes. Realizing that every "AI portfolio tool" on the market is reactive. It answers when you ask. A real operator doesn't wait to be asked. Running validator infrastructure at Crosnest long enough to know that the infra layer underneath a portfolio is where most of the risk actually lives and almost no portfolio tool sees it. The article explains all three.

hi @speedrun