dani

una cabra en el monte |

[dani @userd999n]

excited to be part of the @aiscwork growth team!

gracias amigos 🫡

[maison.femme @carlaarodrigzz]

80%???????????

THIS IS MADNESS

[Coworker.ai @coworkerapp]

Introducing Open Artifacts by Coworker.

Build beautiful work products, routed to the right model for every task.

Frontier outputs. Exactly the right context. 80% lower cost.

[Min-Kyu Jung @mkjung_]

Introducing Ivo Benchmarks.

Benchmarks reviews and redlines agreements by drawing upon your company's entire history of contract negotiations.

We developed Benchmarks by working closely with some of the world's leading companies. They have literally millions of contracts, but no feedback loop for improving their negotiations based on what they've agreed to in the past.

What they need is institutional memory for their negotiations. We're excited to support that by making Benchmarks generally available.

The Ivo team is working on a lot of really cool things right now. Much more coming soon!

[arc. @arceyul]

up only for $SPCX here

[arc. @arceyul]

so this is why Macbooks become expensive?

they don’t have CHIPS

[said @saidstetic]

3M views de launch y +400 followers en un día.

only at @aiscwork 🧞‍♂️

[Zaro @getzaroai]

Today, we're excited to launch Zaro.

Your knowledge is scattered across Slack threads, email chains, Google Docs, Notion pages, and calendar invites. Everyone's asking the same questions, chasing the same updates. Context dies the moment you switch tabs. It's exhausting and it's everywhere.

Zaro ends that.

One workspace. Connect your tools, drop in your files, and build apps that stay live with your data. Spin up agents that compile your briefings, chase deadlines, and keep the busywork off your plate. No more hunting. No more "where is that doc?"

Everything you know, finally working for you.

You can sign up now at https://t.co/KH294xeBpw

For more information comment below! We have also just launched on Product Hunt so we'll be answering comments there all day too!

[Kunal Tangri @TangriKunal]

https://t.co/nje8mUtXCY

[arc. @arceyul]

China copying Claude models everytime and selling them for $0.01

[Niels Klement @nielskle]

Vibe coding funnels is making marketers broke.

It should be making them rich.

Introducing the Perspective MCP: Enable Claude to build funnels that actually convert (incl. tracking, CRM, auto optimization).

Built on funnels behind $1B in ad spend.

Here's how it works:

[eComrads @eComrads]

eComrads Virality Analysis is live.

Every ad is a bet. Most brands place it blind, then read the results once the budget is gone.

Upload: any creative, any niche, even a competitor's ad.
Score: AdDNA reads it the way the feed will. Hook, retention, product focus, caption, visual, 0 to 100.
Act: keep the winners, cut the flops, run it across 500 at once with your agent.

See what sells before you spend.

[eComrads @eComrads]

Most ad spend is a guess. The winners only become clear after the budget is already gone.

Introducing eComrads Ad Recreate.

Start with an ad that already works, in any niche, from anyone. Give it to eComrads with your product, and we rebuild that winning ad around what you sell, your product kept accurate instead of reinvented, every output checked before it ships.

Before we rebuild anything, we score the original on what makes people buy. Then we score your version. Your version comes back higher, because AdDNA builds toward what converts, not what looks good.

Run it from the AI tools you already use. One prompt turns a single winning ad into a month of content, all built around your product.

Find the winner. Rebuild it with your product. Know it converts before you spend.

[dani @userd999n]

RT @jeffrey_hawke: World models were largely an unknown topic when @olivercameron and I started @odysseyml started about 2.5 years ago. Thr…

[Oliver Cameron @olivercameron]

When @jeffrey_hawke and I started @odysseyml in 2023, we believed general world models would become a new class of foundation model.

Three years later, it now feels true. And today, we're announcing a $310M Series B.

AI can now understand and simulate the world!

[Odyssey @odysseyml]

We’ve raised a $310M Series B to accelerate world models!

We believe AI that can understand and simulate the world will be one of the most important technologies of our time.

We're excited to partner with Natural Capital, Amazon, GV, AMD, IQT, and others to bring this to life.

[Factory @FactoryAI]

Today, we're announcing Factory 2.0: from coding agents to software factories.

[dani @userd999n]

@akoratana @fin_ai 3.6 BILLION?

[Animesh Koratana @akoratana]

Salesforce paid about $3.6 billion to get out of the filing business and into the business of doing the work. That tells you which one is worth anything now.

What it bought is @fin_ai (formerly Intercom), a company that answers customer support tickets.

I wrote a while back that Salesforce had turned into a filing cabinet in a world that had stopped needing filing cabinets, and that the only way out was to become the thing that does the work (https://t.co/kzd3fCpWUa).

This deal is that argument paid out in cash. The unit of value moved from the data to the outcome.

Salesforce knows this, because they ran the experiment on themselves first. Benioff cut around 4,000 of his own support people last fall. He read this faster than almost anyone running a company his size. The question is whether you can buy the work one category at a time, or whether buying is already a step behind building.

Fin gets the work done in one domain: customer support. There are many more categories where the same transition is still coming. Every dollar Salesforce earns still comes from selling seats and this will change soon.

This will play out in many more domains, and we will see a lot more offers like this one.

[dani @userd999n]

Okay this is wild ���� A way smaller clinical model basically tied Sonnet 4.6 on blinded clinician preference 50.3% vs 49.7%.

Doctors couldn’t tell which was which.

[Tom Kelly @TomkeyKong]

There’s been debate in the last couple days about whether general models beat specialized medical AI. It's the wrong question. This is an argument about how to measure.

You don't need frontier scale to reach frontier quality. Six weeks ago we matched the best frontier model in Heidi Evidence with a model of our own, a fraction of the size.

Here's how. 🧵

[Tom Kelly @TomkeyKong]

There’s been debate in the last couple days about whether general models beat specialized medical AI. It's the wrong question. This is an argument about how to measure.

You don't need frontier scale to reach frontier quality. Six weeks ago we matched the best frontier model in Heidi Evidence with a model of our own, a fraction of the size.

Here's how. 🧵