chibby

university ‘25 | angel

[chibby @RachelHernndez]

@Teamily_AI Tracking the rest under #Teamily_AI

[chibby @RachelHernndez]

Standard bots answer queries; team agents execute right in chat.

• Site Advisor bots handle property cards
• Node diagrams format prompt logic
• 300+ new Agentic Loops created daily

Teamily AI grew sign-ups 32x this quarter. Updates from @Teamily_AI show how.

[ByteVision 🚀 @andytynan]

Scheduled loops will replace manual re-prompting.
Right now team agents handle recurring jobs in chat.
Agentic Loops keep humans in the review chain.
300+ new Agentic Loops are set up daily in Teamily AI.

No one pastes the same prompt twice.

[Jak @omabudiman1]

Sign-ups grew 32x in one quarter because team agents belong in shared chats.

→ agents build on each other's work
→ conversation turns into docs and webpages
→ review progress inside Teamily AI

The Agentic Internet starts in group chat.

[Liam Davies @MilenaWieczorek]

32x sign-up growth in a quarter shows why team agents are taking off on Teamily AI.

before: build a site alone with five disconnected tools
after: ask the group chat and get a live database site

The Agentic Internet starts in group chat.

[chibby @RachelHernndez]

Monday status pings stall momentum when reports sit scattered.

what it is: agents draft growth metrics and twins check designs for team approval.
why it matters: over 35% of 100M+ messages in Teamily AI are written by agents.

People keep total control.

[みつあめ＠相互 @RaisyanabillaC]

Seeing the physical slot for the Memchip on the Oki Home body makes the hardware feel so real. You can reserve one now at https://t.co/wPGX0UOngy.

[Beep @0xbeepit]

Beep AI Trade brings markets and live agent activity into one trading feed.

- Explore 300+ markets powered by @HyperliquidX
- See what agents are trading on the assets you follow, in real time
- Review their trades, models, and risk settings.
- Follow agents or copy one to put its strategy to work.

Find an approach that fits your view, and let your agent trade.

Try Beep AI Trade: https://t.co/OMq0pChc0Y

[Prince Kumar @PrinceK10366014]

an agent clarifying data and style upfront:
→ asks for brand fonts
→ plans layout options
→ edits live with you

Teamily AI has Website Builder built right in for small business owners.

[chibby @RachelHernndez]

putting four AI roles into one chat changes how small teams scale.

Teamily AI brings true human-agent collaboration to small businesses and teams. The demo from @Teamily_AI makes Team AI feel incredibly practical.

would your studio work this way?

[ImTrumpsNuts @sueZ0922]

When one AI can do almost everything, does teamwork still matter?

I think it does. So I tried Teamily AI’s Loop alongside a single Codex agent for my content creation workflow.
As an AI creator, I research industry developments and explain complex ideas to beginners. Finding news, screening posts, analyzing sources and drafting content—AI already handles much of that groundwork.

But one question keeps bothering me:
Does it understand what I want my audience to learn, or does it simply select information that looks relevant?

If an unsuitable story makes the shortlist, I can catch it. If a valuable story gets filtered out, I might never know what I missed.

That is why I included discovery, selection, review and writing in this comparison:
Both workflows received the same editorial goal. Codex handled research, drafting and self-review alone. In Teamily, Loop connected a researcher, reviewer and editor, drafting and revision continued through group handoffs.

Where did Codex fall short in this run?
1.Research delivery: I requested 20 candidates. Codex returned 7 unverified X leads and 3 supplemental stories, without usable engagement metrics. Teamily delivered 20 reported candidates with selection and review records—a fuller pack, though quantity alone does not establish quality.
2.Collaboration visibility: Codex preserved self-review records. Teamily made each role’s contribution visible- who gathered sources, questioned claims and implemented changes.

For me, Teamily’s strongest advantage was a process I could inspect, give feedback on and take over.

AI is my advisory team. My job is deciding what deserves attention, how to explain it and what ultimately reaches my readers.
@Teamily_AI

[chibby @RachelHernndez]

Bringing notes, maps, and photos together looks effortless in this demo from @okihomeai. @Luofei_Chen is building a Personal AI Computer for multi-step tasks. Oki Home is a true Memory Computer.

[HertzFlow | Mainnet Arc🎲 @Hertzflow_xyz]

Hey Top 100, someone’s coming to take your spots! 🏎️💨

[vati @0xvati]

The agent layer isn't replacing the fund manager. It's replacing the operations team.

Every trade today passes through dozens of humans before it settles. Trader, compliance, middle office, back office, custodian, counterparty, settlement agent. Each one adds latency, adds cost, adds a point of failure. A human wealth manager charges 1% not because their strategy is worth 1%, but because the plumbing underneath them costs 0.85%.

Agents collapse that stack.

An agent can originate a trade, check compliance rules, route to the best venue, and settle on-chain in less time than it takes a human to open their email. The strategy still comes from a person. But the execution, the compliance, the settlement, the reporting. All of that becomes compute. Near-zero cost. Near-instant latency.

This is the part traditional finance misunderstands. They think "agent" means "robo-advisor." A crappy questionnaire that puts you in a Vanguard ETF. That's not the game. The game is middleware. The 87 layers of operational cruft between "I want to do this trade" and "the trade is settled."

Agents don't give financial advice. They handle finance. They're the plumbing layer that makes strategy actually executable at scale, across venues, without an army of ops people.

The 1% fee wasn't for the idea. It was for the machinery.

That machinery is being rebuilt right now, and it runs on code, not headcount.

[chibby @RachelHernndez]

Atria ASI shows a six-stage research run on a cryopreservation question with source records available at every stage. If you want a concrete one: Atria Dawn Preview.

[MOJO @MojoAI_HQ]

We’re hiring Part-time BD 👀

Mojo is the all-in-one agentic trading OS.

We’re looking for BD across Chinese-speaking markets, Korea, and Global.

1. Base compensation + performance bonuses & commission
2. Remote & flexible
3. Crypto / Trading / BD / KOL / Community experience is a plus

Interested? Apply here:
https://t.co/jy49B6UekI

[Beep @0xbeepit]

The Agentic Economy needs agents capable of turning information into economic action.

Beep Agent already does this.

It continuously processes market data and sentiment, reasons through opportunities, makes trading decisions, and executes autonomously.

Every decision and transaction becomes machine-generated economic activity.

Multiply that across millions of agents, operating 24/7, and you get a new layer of the economy.

That's Machine GDP.

Deploy your agent now: https://t.co/OMq0pChc0Y

[chibby @RachelHernndez]

@YuliaKurgan @o1_exchange @stambouli_o1 Futures listing means leverage plays. could get spicy

[chibby @RachelHernndez]

@o1_exchange Fully onchain order matching or is that just marketing copy