AI Agent design and agent payments. Automate the right way with AI. Building Matterhorn. Ex-EY. 3x Ironman 70.3 world C'ship qualifier. Views are personal.

Network School
abhinav ramesh retweeted
What happens when you give builders an AI coworker for crypto and let them experiment? 👀 At TOKEN2049 / Sui Basecamp in Singapore, we invited visitors to our booth to try Matterhorn. And they came with all kinds of ideas! 📊 Crypto price and portfolio trackers 📈 Analytics tools 💼 Accounting applications 🎟️ Event apps 🍽️ Restaurant apps ...and plenty more. Some were experienced developers. Others were simply curious to see what they could create. The best part? Watching people go from an idea to actually building something, right there at our booth. Not every experiment turned into a finished product. But that's the point: making it easier to get started, test ideas, and keep building. Now we'd love to see what YOU create. 🚀 Matterhorn Web is live, with free credits to get started. 👉 web.matterhorn.so Give it a try, and tell us what works, what doesn't, and what we can improve. A big thank you to the @WalrusProtocol and @SuiNetwork teams for having us in Singapore! 🏔️
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Super to meet!
Sui Basecamp Singapore Day 1! 🇸🇬 Bugün @SuiNetwork ekosistemini biraz daha yakından görme fırsatımız oldu Özellikle builder tarafında beklediğimden çok daha fazla proje vardı, gün içinde birkaç tanesini kurcalayıp ekipleriyle de konuştuk Uzun zamandır internetten gördüğüm insanlarla da sonunda yüz yüze tanıştık :) Day 1’dan birkaç kare bırakıyorum 💧 Yarın devam
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Super excited to be partnering with Walrus @WalrusProtocol to bring the first decentralized AI-cowork platform with the entire stack - privacy, storage, memory, and open source models for AI inference. Do anything on crypto, securely, with just chat! @SuiNetwork @Mysten_Labs
AI agents need more than intelligence. They need memory. We're excited to announce Matterhorn's integration with @WalrusProtocol, bringing persistent, verifiable memory to our Web3 AI agents. Agents can retain relevant context across sessions and workflows instead of starting from scratch every time. Another HUGE step toward a true AI cowork for Web3!
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Agreed! That's what we're doing with @matterhornso, but also owning your financial life 🙂
You need to build and own your own intelligence: your own agent, your own models, your own memory Join us for the YC Own Your Intelligence Hackathon September 27 in San Francisco events.ycombinator.com/gstac…
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So true! Seeing a lot of opportunities here in low tech markets
There's still whitespace for vertical AI startups. If you’re building vertical AI, look for four things in a market: - The work repeats often enough to learn from - Judgment matters, so there’s nuance to learn - An expert can quickly evaluate the output and explain what to improve - You can start with one task and grow into owning more of the job Together, these can create a strong learning loop. That’s a key part of the vertical AI advantage. Focus can earn deeper access, more job-specific data and context, and a better understanding over time of what good work looks like. Incumbents may own the record. Labs may own the front door. Vertical AI can still own the job. a16z’s @seema_amble on where vertical AI can still win: a16z.news/p/the-incumbents-a…
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The goal isn't an AI that trades for you. It's an AI that makes serious Web3 work understandable: research, prepare, review, sign in your own wallet, keep the evidence. Calm tools for high-stakes work.
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The Bittensor beta is out. I want to hear where the wallet handoff isn't clear enough, and where a desk makes a hard workflow easy. That feedback shapes what ships next. DMs open.
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I don't want my tools quietly building a profile of me. So in Matterhorn, memory is explicit — you see every suggestion and decide. Less magic, more trust.
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We started with Bittensor because it's genuinely hard to onboard to — TAO, coldkeys, hotkeys, subnets, Dynamic TAO. Matterhorn explains it in plain language and prepares unsigned previews you actually understand before you sign.
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A rule we won't break: Matterhorn never holds your keys and never signs for you. It prepares and explains the action; your wallet approves it. If an AI tool asks for your seed phrase, close the tab.
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building india's first non-alcoholic craft brewery. 6 weeks from our first batch. going to post the whole messy thing here — the brewing, the FSSAI labeling rabbit holes, the payment gateway pain, all of it.
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I kept doing serious onchain work across a chat, a wallet extension, three explorers, and a notes doc — then losing the thread a week later. So we built Matterhorn Desks: one workspace where the research, the wallet review, and the receipts stay together.
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Web3 connectors inside Matterhorn - The agentic interface for Web3. ASI Agentverse, Blockscout, CoinGecko, CoinMarketCap, The Graph, Crypto.com, DefiLlama. MCP servers your agent reads from in real time — actual on-chain data, not training context. 🏔️ matterhorn.so
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Is it just me, or is it super hard to manage and maintain all API keys, logins, emails, and AI tools across coding, marketing, sales? I'm dealing with at least 20 logins + API keys, and I can't seem to track which passwords were used or which credit card was used. Created a simple tool to manage API keys, thinking of extending it to manage all AI tools - github.com/matterhornso/subs…
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Skills for any of the top Web3 protocols across trading, defi, prediction markets - easily usable inside Matterhorn - the agentic face of Web3. See our refreshed interface across web and desktop. @matterhornso
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Connectors (either open source, or created by the Matterhorn team) for top Web3 products, to be used inside Matterhorn's agentic interface, or can be used in your favorite coding platform. The agentic face of Web3 is coming, mark the date - June 30th.
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The Agentic interface for Web3 is coming, mark the date - June 30th 👀 @matterhornso
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An idea...getting websites "Agent-crawlable" - make any website fully optimized to be read and used by Agents - no more contact us forms - rather - if you're an agent - here's the way to contact my agent, and if you're a human, then you can also contact my agent. Agents that are running on websites communicate with agents crawling the web who are searching for their product - could be applicable to retail, real estate, or any other type of e-commerce>
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Build anything on prediction markets on @Polymarket , @trylimitless and Hyperliquid @HyperliquidX @HYPERDailyTK with Matterhorn. Describe your project — a markets dashboard, a trading agent, an on-chain strategy — and Matterhorn writes the contracts, wires the data, and deploys it. Idea to live dApp in hours. loom.com/share/c65a7c96799c4…
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Give your Matterhorn agent real Web3 instincts. You can now add Web3 specific skills to your agent like tuning, cross-chain deploys, protocol patterns. 100+ open-source skills, all plug and play. Your agent builds with Web3 context baked in. We've also created custom Web3 skills for you to use. Build with any of the top protocols @aave @HyperliquidX @Polymarket or any other platform with our agent loom.com/share/9b2ecb26b3404…
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