Zara

Explorer. Creative. Systems. Growth. Community. Nature. Vision. Kind. Dreamer.

[Zara @Eliria97]

Putting team agents where people talk explains the growth since the July 2026 launch.

300+ new Agentic Loops set up every day prove that team-level collaboration works.

Teamily AI hit 320K sign-ups fast.

[Aiden Chaoyang He @AidenChaoyangHe]

32× growth in one quarter: From 10K to 320K customers across 100+ countries, with over 100 million messages processed.

We are not building just another personal AI product. Our long-term vision for Teamily AI is to build the central platform of the next-generation Agentic Internet, where AI agents deliver services and perform real work directly, no longer confined to traditional web, desktop, or mobile apps distributed through app stores and search engines. Our recent growth has only strengthened my conviction in this vision.

Agent-as-a-Service (AaaS) will be as accessible as connecting with friends on a social network. Just as Google democratized access to information and services in the web era, Teamily AI aims to democratize access to intelligence and services in the Agentic Internet era, making the right intelligence, people, and services equally accessible to everyone.

In this letter to Teamily AI customers, ecosystem partners, and investors, we share our growth, reflect on our early foresight and what we've built, discuss how we see the evolving AI agent landscape, and outline where we're heading next.

[Aiden Chaoyang He @AidenChaoyangHe]

32× growth in one quarter: From 10K to 320K customers across 100+ countries, with over 100 million messages processed.

We are not building just another personal AI product. Our long-term vision for Teamily AI is to build the central platform of the next-generation Agentic Internet, where AI agents deliver services and perform real work directly, no longer confined to traditional web, desktop, or mobile apps distributed through app stores and search engines. Our recent growth has only strengthened my conviction in this vision.

Agent-as-a-Service (AaaS) will be as accessible as connecting with friends on a social network. Just as Google democratized access to information and services in the web era, Teamily AI aims to democratize access to intelligence and services in the Agentic Internet era, making the right intelligence, people, and services equally accessible to everyone.

In this letter to Teamily AI customers, ecosystem partners, and investors, we share our growth, reflect on our early foresight and what we've built, discuss how we see the evolving AI agent landscape, and outline where we're heading next.

[MOJO @MojoAI_HQ]

Anthropic has officially filed for its Nasdaq IPO under $ANT.

Reports suggest a potential $1.5T to $2T valuation, with a listing targeted for mid-November.

One of the biggest AI IPOs is getting closer.

Ask Mojo to track the latest developments and see how the market reacts.

[Jerry Pan @stambouli_o1]

Ok fun and hilarious again

Our designer sent me an army of @o1_exchange affiliates

[Wasabi AI @Sam11073137]

Sai runs locally in a pip window or offloads tasks to cloud instances. Your #SaiFleet drives legacy Windows desktop software in parallel without touching your mouse. The #Robosecretary operates 24/7.

[Zara @Eliria97]

this closing card from the launch film says it all

→ Teamily AI shipped 2.0 as a Humans + Agents platform
→ small teams handle web builds and bookings in one chat
→ agents and people share the exact same context

a whole team behind your small business

[HertzFlow | Mainnet Arc🎲 @Hertzflow_xyz]

HertzFlow v2.0.0 is now live. ⚙️

A clearer, steadier, and more accurate trading experience. 🎲

See the details below 👇

[Zara @Eliria97]

Having a free runtime with Python and R pre-installed in ScienceBuddy makes running GEO expression matrices straightforward for PhAI Labs users.

[Jerry Pan @stambouli_o1]

I don't wanna brag but @o1_exchange alpha listing does provide a preliminary assessment of project's prospective performance.

While I don't like to brag about the PNL of individual BD trading wallets, our BD team is srsly made up of many killer traders and onchain analysts besides top sales.

We've also release o1 Alpha Listing Data API data for efficiency price discovery: https://t.co/btHMjyiQB8

NFA. DYOR.

[vati @0xvati]

SaaS is a $1T industry built on one assumption: humans are the customers.

Every login screen. Every seat-based license. Every dashboard. Every monthly subscription. Built for two eyes and a mouse.

That assumption is breaking.

AI agents don't log in. They don't click through onboarding. They don't need dashboards. They call APIs directly. They transact peer-to-peer. The buyer changed, and the market hasn't priced it in.

Your SaaS stack? Sales tools, CRMs, analytics platforms. Every one of them requires a human to sit down and click buttons. Agents skip all of it. They don't need the product. They need the outcome. That company that spent 10 years on their dashboard just built a ghost town.

Seat-based pricing is the most obvious casualty. Agents don't occupy seats. They spawn, execute, disappear. A thousand agents do the work of a hundred humans but generate zero subscriptions. The per-seat economics that built SaaS don't apply to agent-native customers.

This isn't a 10-year horizon. It's happening. Dev tools are already agent-first. The SaaS wrapper on top is next. Why would an agent use Jira when it can just do the work?

B2B is becoming B2A. Business-to-Agent.

The companies that win aren't bolting AI onto old products. They're building agent-native from scratch. APIs, not dashboards. Endpoints, not seats. Penny transactions, not $50 subscriptions.

The buyer changed. Reprice everything.