Twitter is not a task it's a documented story of your life so others can consider your point of view ...and choose whether to engage or not

Meet Palantir for marketing. Just enter your website URL. Pixero learns your brand, finds competitor ads and organic content, then recreates them for your product and deploys your ads. From URL to live campaign in minutes, for free. This is actually insane

Muse is INSANE for Meta ads. Meta built an agent. I pointed it at my Meta ad account. Two weeks old. Most-downloaded app on the App Store. Runs on its own VM in Meta's cloud. Lives in WhatsApp. And nobody's noticed the obvious thing: Meta's agent can read Meta's ad platform through Meta's own MCP. One message to connect. One OAuth tap. Then it just... reports to you. On WhatsApp. Like a media buyer who never sleeps and texts you before you've woken up. Here's what mine does: → 7am WhatsApp — spend, CPA, CTR, every delta vs yesterday, in a message I read in bed → Sweeps the Ad Library — it has its own browser, so it opens competitors' ads and tells me what launched and what died → Catches fatigue — frequency past 3, CTR sliding, flagged a week before ROAS drops → Finds the leak — every ad set past target with no way back, and what it's cost so far → Checks pacing — MTD vs plan, pings only if it's 15% off → Asks before it kills — it's built around approvals, so pausing a loser is one tap on my phone → Remembers the goal — I told it once what CPA I'm chasing. It brings it up unprompted when we drift. The part that's actually different from every other agent: it's proactive. Grok Bot runs when you schedule it. Muse checks in when it thinks you need to know. Free for most of what this needs. Comment "muse" for the connection prompt and the setup.

we’re excited to share that we’ve raised $20M (from Accel, Index, & Emergence) to build the 'ai-native Slack' you've all been craving TLDR; ando is a team messaging platform built fresh, from the ground, up for a world where agents act as real collaborators alongside us. we have teams using us across 15 countries, and spanning industries like software, financial services, real estate, & more request access if any of this resonates 💌

Heyo! After 8 years of R&D and learnings from 100,000+ scans in Europe, @Neko is finally live in the US! Our clinic in NYC features our new scan room, fitted out with the latest generation of our medical devices (FDA cleared) ✌️ The Neko Lab can now analyze 50+ blood biomarkers with every scan, with results delivered within the same 1 hour visit. 25,000+ people are already on the waitlist and we just started inviting our earliest supporters to book.

With a little coaxing, Meta’s AI will reveal all its secrets. theverge.com/ai-artificial-i…

Muse is by far the most open agent out there. You can just ask it how it works and it actually tells you. I asked it about its memory pipeline, its scheduler, its token usage, and it walked me through everything: the nightly dream files, the feed jobs, the heartbeat cron, the exact prompt it uses to generate my feed etc etc. You can inspect the Muse DB and basically everything. It feels like you own the thing.

Meta Muse is an UNBELIEVABLE AI agent You can literally have it go through all of your credit card bills, find your subscriptions, and autonomously negotiate them all down Craziest part? It's free In this video I cover how Muse works and how to master it:

We’re building the first turbine designed from scratch specifically for AI compute. We’re using materials with a global supply five orders of magnitude higher than what's in current turbine blades and have decreased part count in the core by three orders. (4/5)

Gas turbines are the answer. They are incredibly power dense, proven technology and the US has a LOT of natural gas. Problem is, no turbines are purpose built for scaling this fast. Delivery times from existing OEMs are slipping into the 2030s. (3/5)

There will be an 65GW+ delta between compute committed and power available from the grid by the end of the decade. If we want to keep scaling AI this needs to close. (2/5)

Today we’re launching Parallax, the AI energy company with a $117m fundraise led by Founders Fund, Eclipse, Lux, Diffusion, Greylock and General Catalyst. (1/5)

20 years ago, I was here in New York, pitching a small startup from Europe. This week, I'm back here, once again in pitch mode, talking to friends old and new about democratizing preventive health with @Neko. I've always been obsessed with building the most amazing product possible. And with Neko, the end goal is to truly change consumer behaviour. We want as many people as possible to have access to quality preventive healthcare - not for the 1%, but for the 99%. Thank you to my co-founder Hjalmar (@HNilsonne) and to the amazing team that made our first New York clinic opening possible today.

Launch day! 🗽🇺🇸

Update on founding a company in Germany: The VAT ID arrived. 203 days after I started, almost €12k later. Then my tax firm asked for my trade registration. First time anyone mentioned it. Legally due the day I started. Filed it 3 weeks ago. Still waiting. Probably gonna get fined 1000€ for doing business before it. paolino.me/founding-a-compan…

Seriously, what's the point of doing business in Europe?

Today Higgsfield crossed $1B in annualized revenue. We've grown 20x since September 2025. There’s a popular argument that foundation models will capture all the value in AI, leaving little for the application layer. Higgsfield is proving the opposite thesis, as better models expand what enterprises can achieve and increase the value of applications embedded in their workflows. That thesis is reflected in our business: 300% net revenue retention. 115% MoM growth in enterprise adoption since June. Positive gross margin since the beginning of this year. Thank you to our incredible team and everyone building it with us.

Today, 18 months after launch, our annualized revenue crossed $1 billion. The platform now powers organizations across the Fortune 500. Enterprise adoption has grown 10x since June. More than 30 million people worldwide now use Higgsfield. Thank you to the creators and teams building with us.

Muse AI Connectors COULD be the App Store moment for AI, and I think BILLIONS of dollars are up for grabs. piped.video/watch?v=84q4WA3k… When Apple opened the App Store in 2008, it gave developers access to millions of iPhone users, and less than two years later Apple had paid them $1 billion. Muse could create a similar opening, except instead of building apps people have to find and open, founders can build services a personal agent calls while completing a task. In today's episode of @startupideaspod, I explain how Muse Connectors work, how to build one with Codex or Claude Code, how people could discover them and 4 startup ideas I’d investigate right now. Who knows whether Muse reaches 10 million, 100 million or one billion users, but whether Muse wins or not, personal agents are becoming a new place where demand gets routed and money changes hands. So, needless to say, it's a really good time to be experimenting with Muse AI connectors. Nobody knew which iPhone apps would win in 2008, but the developers who started experimenting early learned what the rest of the market wouldn’t understand for years. This feels like another one of those moments.

those aren't secrets you dummies those are the files on the user's VM, this is intended behavior

I’ve seen a couple of posts about this so wanted to demystify. Today, every Muse user gets a free computer in the cloud. It's a real computer, and we’ve designed the security architecture of the Muse Secure VM carefully so you and your Muse can do almost anything you could with a computer sitting under your desk while keeping you and the system safe from threats like prompt injection. We wrote about this at length in our security blog post – security.muse.ai. Activity in the “runtime cell”, which you share with your Muse is unfettered, but sensitive actions are all overseen by the Sentinel, which runs outside of that cell. Similarly, all sensitive secrets - like the passwords you enter into Muse’s secure credential storage - are also stored outside the runtime cell. The runtime cell gets its own root filesystem (including a full Ubuntu linux image) separate from the host filesystem where your other more sensitive data lives. Because it is isolated from the sensitive stuff that runs on the same box, this means that we can, and do, offer users full visibility and control over the files in the runtime cell. Just as you can when you install Linux on your home computer, you can poke around and see all the files that make the system work - both debian system files and the binaries and data files that implement the parts of Muse which run in the runtime cell. This was a very deliberate choice - your Muse Secure VM truly is your own computer in the cloud. You can install software in it, write and compile code, use the browser to surf the web: it is your own Linux box that you can operate as you choose with your Muse. Poking around in this computer doesn't give you any privileged access to Meta infrastructure, or to other people's data If I may geek out a little here for a second… As a kid I loved to take things apart to see how they worked. As a teenager I got into computers and soon found myself drawn to C:\WINDOWS\SYSTEM and the system registry, later Slackware’s /dev/, /proc/ etc – I could see how the system was laid out and as I explored what DLL files and .so files actually did, I gradually became able to meld the computer to my own will. We’re really proud to be able to put a real computer in millions of people’s hands with a similar level of transparency. We built a file explorer right into the Library tab of the UI. We want you to be able to see the markdown files Muse writes while it thinks about how to serve you better, and explore the internals of the system if you’d like to. So, when you ask your Muse to show you its entire filesystem, and receive gigabytes of files you’re seeing the full contents of the runtime cell. It’s yours to explore and enjoy! If you’re not a geek like me, or simply want to download the data that you personally have created directly with your Muse, we added a feature for that too in Settings > Data controls > Download your agent data.