Rajesh

916 posts

Rajesh

Rajesh

@OxRajesh

Building @LoomalAI — Payments Layer for Agentic Commerce

Singapore Katılım Eylül 2013
40 Takip Edilen51 Takipçiler
Rajesh retweetledi
Loomal
Loomal@LoomalAI·
Someone asked if Loomal would turn into a race-to-the-bottom pricing war like the App Store. Fair question. The difference: no platform cut means zero incentive to push volume over price. We only win if sellers think $49/mo is worth it. That changes how competition plays out.
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Rajesh
Rajesh@OxRajesh·
Why do programmers prefer dark mode? Because light attracts bugs.
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Rajesh
Rajesh@OxRajesh·
I just hit the @claudeai Max 20 limit. Am I the only one, or are others hitting it too? 😅 Looks like my AI usage is officially not “casual” anymore.
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Rajesh
Rajesh@OxRajesh·
@ScoobyCarolan Building dev tooling on top of CDP myself — what would have saved you those 2 days? 20 min DM?
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ScoobyCarolan.sol
ScoobyCarolan.sol@ScoobyCarolan·
@brian_armstrong NGL spent the last 2 days digging through the developer docs and he ain’t lying. One thing @brian_armstrong I launched an x402 server with CDP as facilitator. I have no idea why it’s not getting indexed, but transactions work. Dev Dashboard update please?
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Brian Armstrong
Brian Armstrong@brian_armstrong·
There’s a generational shift happening, and Coinbase is uniquely positioned to capture it: 1) The onchain economy has reached escape velocity 2) Coinbase's full stack platform is powering it 3) The next frontier is agentic and on Coinbase Our thesis is simple: crypto is the best form of money, and the infrastructure will overhaul the existing financial system. If it involves money, it will involve crypto. Coinbase is uniquely positioned to capitalize on this transformation. Some highlights from our earnings today: - Gained share in both spot and derivatives globally, reaching an all-time high in crypto trading volume market share - Saw huge growth in derivatives trading volume, driven by our Everything Exchange - 10x increase in stablecoin transaction volume on @base - USDC on our platform hit another all-time high - >90% of onchain agentic stablecoin transaction volume is on Base - 12 consecutive quarters of net native unit inflows- customers have been adding more crypto to Coinbase every quarter
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Rajesh
Rajesh@OxRajesh·
Layer 3 splits two ways: → Agent-side rails (x402, AP2, ACP) → Merchant-side rails (paywalls, metering) Loomal ships both with a single API key. The whole layer, one integration.
Gap | Suby@gaspardlezin

.@a16z crypto dropped their stablecoin map 3 days ago. I spent the last 72h enriching it. Not because they did a bad job they did a great one (ty Noah Levine). But the stablecoin backend is so vast that no single map can capture it. So I added 150+ players and broke out the categories I think deserve their own row. 𝗧𝗵𝗲 𝟰 𝗹𝗮𝘆𝗲𝗿𝘀 𝗜 𝗯𝗿𝗼𝗸𝗲 𝗼𝘂𝘁 Layer 1: On-chain credit. Stablecoins aren't just rails anymore. They're collateral. Morpho, Aave Labs, Maple Finance, Centrifuge are originating loans at scale. Tokenized treasuries (BlackRock BUIDL, Ondo Finance, Superstate) crossed $7B AUM. DeFi quietly eating the credit market. Layer 2: Tokenized bank deposits. Not stablecoins. A parallel system. J.P. Morgan Kinexys (JPMD), Citi Token Services, BNY Mellon, HSBC, BNP Paribas, UBS Digital Cash. Banks aren't fighting stablecoins, they're issuing their own programmable money in parallel. Layer 3: Agent commerce. AI agents transacting in stablecoins. x402 (Coinbase + Cloudflare), AP2 (Google), ACP (OpenAI + Stripe). 6 months ago this was a thesis. Now it's live protocols. Layer 4: B2B accounting. Bitwave, Cryptio, TRES Finance. The plumbing nobody talks about until you need to close your books. 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗽𝗮𝘆𝗺𝗲𝗻𝘁 Most "stablecoin maps" you see online are payment-rail-only. Issuers, on-ramps, wallets, blockchains. They miss the half of the stack where the most interesting things are happening. The real shift isn't "can I send USDC faster than SWIFT." It's that an entire parallel financial system is forming, with credit, deposits, FX, accounting, and AI commerce all natively stablecoin-denominated. 𝗧𝗵𝗲 𝗽𝗮𝗿𝘁 𝗜 𝗳𝗶𝗻𝗱 𝗺𝗼𝘀𝘁 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 Card-to-Stable PSPs became its own sub-category. Merchants accept cards as usual. Funds land in their USDC wallet in seconds. No FX markup, no T+2, no correspondent banks. The players: @subyhq (what we're building), Stripe (via Bridge), BVNK, Inflowpay Worldpay and Triple-A. Full map (3 slides) below ↓ Hat tip to a16z crypto for the original framework. PS: I post weekly about stablecoin infra with Suby and the reality of building a payment startup. Follow for more.

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Rajesh
Rajesh@OxRajesh·
Speaking at @SQCollective_SG today@1.30pm. Topic: AI agents need identity. They borrow human emails, share hardcoded credentials, and have zero accountability. Loomal gives them their own stack email, credentials, 2FA via one API. Live demo included. luma.com/6k57xu71
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Rajesh
Rajesh@OxRajesh·
Your AI agent uses your email. Your API keys. Your phone for 2FA. That's not an agent. That's a remote-controlled you. Launching Loomal today: real identity for AI agents. 🧵
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Rajesh
Rajesh@OxRajesh·
Free tier. No card. 30 seconds to first email. If you're shipping agents that need to do things — not just talk — I want you to try it and tell me what breaks. → loomal.ai
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Rajesh
Rajesh@OxRajesh·
Meta's Ranking Engineer agent nails what most production agents miss: bounded autonomy with feedback loops. Autonomous doesn't mean unsupervised. It means the agent makes decisions, measures outcomes, learns, and stays within hard constraints. That's the pattern that scales. #
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Rajesh
Rajesh@OxRajesh·
I automated my way out of a job once. Spent three years on deployment logs, then built a system that handled them without me. Now my role doesn't exist. That's ZeroOps—not automation that works less, automation that works while you sleep. #DevOps #ZeroOps #Automation
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Rajesh
Rajesh@OxRajesh·
You can build an agent in a weekend. Running one in production for 6 months is a different animal. Most teams are still treating deployment like an afterthought. Which one breaks your agents first: observability, error handling, context bleeding, or tool failures? #aiagents #dep
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Rajesh
Rajesh@OxRajesh·
Built an agent to write database queries for us. Three months later, junior dev couldn't tell a JOIN from a WHERE clause. Automation had made us dumb. Now we reverse it sometimes. Make the agent explain its work. Forces us to stay dangerous. #AIAgents #Engineering #RealTalk
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Rajesh
Rajesh@OxRajesh·
Same LLM performs wildly different across apps. Here's why: the harness. It's the tools, memory, context loading, error handling—everything around the model that makes it actually useful. ClaudeCode feels different from Cursor not because of the model. It's 100 engineering decis
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Rajesh
Rajesh@OxRajesh·
The permission sweet spot: auto mode for Claude Code blocks dangerous actions automatically while letting safe ones run. No constant interruptions. No reckless skipping permissions. Just... practical AI. #AIAgents #Claude #DevTools
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