That awkward "let's hop on a new link" moment at minute 44? Gone. Free dMeet meetings now run a full hour. And 1:1 calls? End-to-end encrypted, no time limit at all.

Thanks @x402 for the feature. Recording is live in @dMeetApp. On the agent side, the dTelecom x402 Gateway is already doing real volume: $104K+ volume 49K+ transactions 70 buyers Voice, STT and TTS paid per request in USDC. No API keys, no accounts.

Meeting recording is now live in dMeet - record, watch it back, download. The same recording layer is coming to the dTelecom Cloud API, so developers building real-time communication can add it to their own apps.

dMeet is where we ship dTelecom's infrastructure to real users first. Scheduling is a small feature on the surface and a full path through the stack underneath: a booking link, a calendar, a live room, and AI transcription running on infrastructure we operate end to end.

Arabic is live in dMeet, the flagship app on the dTelecom network. MENA is where real-time communication demand is growing fastest, and where privacy expectations are highest. Full RTL, self-hosted AI, no third-party model providers touching your meetings. More builders on dTelecom shipping to more regions.

Agents don't fill out signup forms. That's the whole reason we shipped on pay.sh. An agent that needs voice for thirty seconds shouldn't need a dashboard, a card on file, and a sales call first. It should just call the endpoint and pay for what it used. Five real-time voice endpoints, live now.

Most DePIN networks bootstrap the same way: token incentives first, hope demand shows up later. dTelecom is #2 by payment volume on x402 - and none of it is incentivized. Every payment is an AI agent buying voice, STT, or TTS because it needs it right now. Per request, in USDC. No accounts, no API keys, no human in the loop. Real demand. Machine customers. Revenue on the network - rare for DePIN at this stage. That's the difference between usage that pays for a network and emissions that simulate it. x402.dtelecom.org

The Voice AI migration pattern we keep seeing: Month 1: start on an orchestrator. Fast setup, demo ready in a day. Month 6: 30K minutes/month. The bill is now a line item the CFO asks about. So teams rebuild - and discover the stack is 3-4 vendors: RTC, STT, TTS, plus glue code. Each with its own margin baked in. That rebuild typically saves ~80%. The catch: you're now managing 4 contracts and 4 failure points. dTelecom collapses it to one API on our own infrastructure - voice, video, STT, TTS. The economics of self-hosting without the vendor sprawl.

Meeting-intelligence tools summarize one call. The harder problem: making 6 months of company meetings answer a question. That's what Shared AI Memory in @dMeetApp Team Workspaces does - built entirely on dTelecom infrastructure, end to end.

Meta built an AI 'second brain' for its workers. 63,000+ installs across engineering, PM, design, legal, finance. It took a dedicated team and a custom platform. They're now piloting a shared 'Third Brain.' @dMeetApp does this from your meetings automatically. Every conversation → summarized → stored → queryable. No manual input. No separate tool. The meeting is the knowledge base.

If you always wanted to query your calls and just get a reply - now you can. Free to use > dmeet.org

Gartner: '40% of enterprise applications will be integrated with task-specific AI agents by the end of 2026, up from less than 5% today.' And the other half of the forecast: over 40% of agentic AI projects will be canceled by end of 2027. The difference between the two? Infra. Bolted-on agents break. Built-in agents work. @dMeetApp's agents run inside the meeting. Not on top of it.

Meeting-intelligence market is projected to hit $25B by EOY 2026. From under $2B five years ago. Thing is: searching meetings will be as common as searching email. So we built on. AI Memory in @dMeetApp makes every meeting in your history queryable. You ask - you get reply.