🔥 RLUSD saw $55.9 million burned in the past week, dwarfing just $8.8 million minted. ✅ Ripple’s $RLUSD stablecoin is gaining momentum with Mastercard and new Turkish partners on board. 🌍 Growing demand for blockchain settlement drives fresh integrations and university research in Turkey.

For sale: production-grade Arbitrum flash-loan arbitrage system ⚡ 11 DEX integrations, smart contracts swap/transform adapters, scanner/evaluator/executor stack, Grafana ClickHouse. Asking 150k USDC setup. Serious buyers only. #Arbitrum #DeFi #MEV #FlashLoans

Wenn selbst Integrations- und Sprachangebote wie Cosmo einem Jugendformat weichen sollen, stellt sich eine Frage: Dient der ÖRR noch Vielfalt, Bildung und Kultur? David Fleschen über einen schleichenden Kurswechsel. #ÖRR #Cosmo #Medienpolitik overton-magazin.de/hintergru…

This is an insane tech tbh. Thanks @variational_io for doing this real integration of RWA and stocks. I think this type of integrations is the real purpose of crypto - we get access to such instruments from almost anywhere. Could not imagine this possibility a couple years ago…

Wieso ist das unglaublich? Die wenigen Integrations willigen Syrer werden eben von der großen Masse der islamischen Einwanderer drangsaliert.

runner ships dozens of MCP integrations and the model still emits the same tool call underneath, so the real failure mode isn't integration, it's overlapping schemas and the agent picking the wrong tool. Runner ships per-tool schema disambiguation that catches the wrong-tool pick before it fires, runner.now?utm_source=s4l&ut… written with ai

Thanks for your comment brother I do agree with your point. I suppose that I don't do much of Linking connectors and such outside of the Microsoft integrations. Mostly I just link together the tools in the context of a managed project. I might use several different platforms models/tools to generate a plan/artifact. I will think more about this though. How about you, what are you using?

Real world integrations, stocks, DeFi, institutional, non-US treasuries, infra, vaults, private credit, AMM pairs Nothing is safe from RWAs anymore

If Anthropic is now ahead on enterprise adoption, the PM roles that matter most over the next year are the ones managing Claude integrations inside non-tech companies, not the ones building the next chatbot. The interesting work moved to the adopters, not the model makers

Web2 fleet management integrations, the first pipeline into DroneDeploy, Palantir, and enterprise fleet platforms. Kalder compliance becomes a native layer inside the tools operators already use.

A workflow automation tool you can run on your own server has crossed 164,000 GitHub stars, making it one of the most-starred developer tools in existence. It replaces a popular service that charges by the action, and the pricing difference at scale is not small. It is roughly 90 percent. It is called n8n, a visual workflow automation platform with over 400 integrations and built-in AI agent nodes. The pricing insight is the whole story, and it hinges on one word: action versus execution. The dominant cloud automation service charges per action step. So a workflow with 10 steps consumes 10 of your paid tasks every single time it runs. Build automations that do real work, run them often, and the meter spins fast. n8n charges per execution instead. That same 10-step workflow uses one execution, not ten. The more steps your automations have, and the more often they run, the wider that gap grows, until at real scale the difference lands around 80 to 90 percent savings. Same automations, a fraction of the cost. You can connect it to hundreds of services, build automations visually by dragging and connecting nodes, and run the entire thing on a cheap server you already pay for. Onboarding flows, invoice reminders, notifications, data syncing, AI agent pipelines, all of it executing on your own infrastructure for no per-task fee. This is the recurring truth of the self-hosting movement, in numbers. The cloud tool is not expensive because automation is expensive. It is expensive because the pricing is attached to a unit, the action, that multiplies with the complexity and frequency of your work. You are charged more precisely as the tool becomes more useful to you. Automation was supposed to save you work. One open-source project, with 164,000 people starring it, exists to make sure it also stops quietly charging you by the step. Video Link : youtu.be/7mEzvJVrFfk

i've been trying out the litebeam product and im impressed. was super easy to get set up even if you arent technical and within 5 minutes I now have access to every mcp service I could ever want without doing further setup discoverability of mcp integrations will become a growing problem as the AI landscape gets denser so I can see @Litebeam_xyz becoming a fantastic starting point for exploring all available service options just launched a few days ago and the product is already working well. i could see this becoming an important pillar in the base ecosystem

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Both are gg towards an insti and consumer reach with their integrations

Obviously I don't know the underlying architecture you have, but I've done several hugely complex integrations with ESPs over the years. *All* good ESPs will have APIs that expose a good amount of data and functionality. Either there's missing context here, your architecture's not quite right or you're over-engineering something. But I would definitely take a step back and review what you're trying to achieve and whether what you have on your system is holding you back, before building an internal email platform yourself. And as I said originally, definitely do not go the whole hog - deliverability is not a game you want to be in unless you're a seasoned expert at it.

RIBBITA × Visa: What We Know So Far Over the past several months, $RIBBITA has repeatedly referenced future integrations involving Visa across multiple conversations inside its terminal interface. The recurring themes include: $KYA (Know Your Agent) Visa — linking AI agent identities to Visa payment infrastructure. $Visa cards as access tokens for autonomous AI-agent transactions. Trusted Agent Protocol (TAP) integration to verify agent legitimacy and enable secure agentic commerce. Visa Intelligent Commerce expansion focused on AI-driven payments and autonomous purchasing. Building a framework where verified AI agents can transact on behalf of users while maintaining trust, identity verification, and payment authorization. What’s notable is that these references align conceptually with Visa’s publicly documented work around the Trusted Agent Protocol (TAP), which is designed to provide identity verification, trust signals, and secure transaction flows for AI agents operating in digital commerce. At this stage, however, there is an important distinction: ✅ Multiple ribbita-by-virtuals:native statements discuss Visa-related initiatives. ✅ Visa has publicly published TAP specifications and infrastructure for trusted AI-agent commerce. ❌ There is currently no public confirmation from Visa of a partnership with RIBBITA, TIBBIR, OpenMind, or Transaction Science. The most conservative interpretation is that RIBBITA’s roadmap appears to be designed around Visa’s emerging agent-commerce architecture, particularly KYA, identity verification, and TAP-style agent authentication. Whether this evolves into an official integration remains something that would need public confirmation from Visa or the project team. Why it matters If implemented, the combination of: AI Agents On-Chain Identity Visa Payment Rails Trusted Agent Protocol could create one of the first practical frameworks for autonomous commerce, where verified AI agents are able to discover, negotiate, and complete transactions on behalf of users while remaining auditable and trusted. That is the broader vision repeatedly described in the RIBBITA roadmap references.

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The problem is that I can’t improve the integrations because most platforms don’t expose enough through their API or MCP. Giving @resend a try as it seems to be one of the few platforms that does.

If it's mainly that I'd review and improve your integrations as something's broken there. A correctly functioning integration won't have that problem. I wouldn't go and build an email marketing platform to solve something like that, if that's your biggest pain point.

... @pudgypenguins is trending again. From brand building and real-world integrations to breaking into the mainstream, the team keeps proving why they're in a league of their own. At this point, no one can deny that the Huddle stands apart. They've built one of the strongest communities in Web3 and continue to push the culture forward. The billion-dollar brand is coming...