Massimo Albarello

co-founder & CTO @

[Massimo Albarello @MaxAlbarello]

How do they reach consensus?🤯🤩 @ComplexExplorer

[Luca Bertelli @ilbert_luca]

There was no TanStack Router for TypeScript CLIs. So I built parsh.

Type-safe end to end. File-based commands. Typo a positional param, the compiler tells you which one. Parent options autocomplete in nested handlers. And more.

90s of the type system catching every drift:

[Massimo Albarello @MaxAlbarello]

@andruyeung thought the same about London

[Massimo Albarello @MaxAlbarello]

@pietrozullo interesting, wondering if pure data access will be enough for a "queryable company" or whether you need to distill that data into some sort of operational knowledge

[Andrej Karpathy @karpathy]

It's like we dug up a powerful alien artifact and society is humping it while taking selfies

[Eeshita Pande @pande_eeshita]

@ouraring If you are using @openclaw, highly recommend setting up the @ouraring plugin developed by @rickybloomfield

[Luca Bertelli @ilbert_luca]

We built waclaw to let you host many OpenClaw instances behind a single WhatsApp Business Account.
Good for personal use (one bot, one number) or for companies that want to give each of their users their own AI assistant reachable over WhatsApp.
Open-source repo in the comments

[andrew chen @andrewchen]

Web 1.0 came with new channels:
- email, search, link sharing, etc

Web 2.0 too:
- feeds, creators, viral invites, etc

Mobile:
- app stores, SMS invites, vertical vid, mobile ads

What about AI? I’ve been complaining that AI hasn’t come with much. But we’re seeing a big growth channel opening now: Products that are built as APIs/CLIs that can be pulled into new projects by Codex/Claude on the fly

Maybe the “AI-native hotel app” doesn’t mean a mobile booking app with an AI chat panel. It means a CLI that can book a hotel for you, that an AI agent can pull into a bespoke answer or project or into code. Bolting on an AI chat panel is this generation’s weak form of AI. Maybe the full reinvention involves making it agent-first not human-first

and once you start looking at it that way, a lot of existing products suddenly feel mis-specified. they’re built as destinations, but agents don’t want destinations. they want capabilities. composable, callable, reliable capabilities.

So instead of “go to Expedia” or “open the app,” the future interaction is more like: an agent assembles a workflow on the fly. it pulls a flight search tool, a hotel booking tool, maybe a weather model, maybe even your personal preference graph. none of these are full products in the traditional sense. they’re more like endpoints with taste and state.

This flips distribution completely. historically you win by owning the surface area. seo, app store ranking, homepage traffic. in an agent world, you win by being the default callable primitive. the thing that shows up again and again in agent-generated plans because it works, has clean interfaces, and returns structured outputs. distribution shifts from “top of funnel” to “top of call stack.”

And the crazy part is this might actually compress product surface area dramatically. the best products might look more like tight, extremely well-designed CLIs with opinionated defaults rather than sprawling UIs. almost like the stripe api moment, but for everything. imagine if every vertical had a “stripe-level” primitive that agents preferentially use.

there’s also a weird inversion of brand here. humans used to choose brands. now agents will. so the brand becomes partially machine-legible. reliability, latency, error rates, schema clarity. you can almost imagine “agent seo” where the ranking factors are things like success rate across thousands of agent runs, or how easy your tool is to integrate in a chain-of-thought execution loop.

This also suggests a new kind of moat. not just data or network effects, but integration depth with agent ecosystems. if claude or codex or openclaw learns that your tool is the safest way to accomplish X, it gets baked into prompts, templates, maybe even fine-tunes. you become a default. and defaults, historically, are insanely sticky.

The contrarian take is that most current “AI features” are a local maximum. chat panels, copilots, assistants. they’re transitional. the real end state might look closer to invisible infrastructure that agents orchestrate. the ui is just a debug layer for humans to peek into what the agents are doing.

so maybe the new growth channels for ai look like:
- being callable
- being composable
- being reliable at scale in agent loops
- being embedded in agent templates and workflows
- being the default primitive in a given domain

and if that’s right, then the question for any new product isn’t “what’s the ui” or even “what’s the killer feature.” it’s “what’s the minimal, highest-leverage capability we can expose such that agents will repeatedly choose us when building something new.”

[ORCA Dexterity @orcahand]

it's time to drop three new #opensource robotic hands! this time with tactile sensors! Tweak it, 3D print it, and use them in your robotics and physical AI research! Here are some wild examples ↓↓↓

[Fabric @buildonfabric]

1/I used @claudeai's #1 Product Hunt prompt to export my AI memories from @ChatGPTapp after 3 years of daily use.

They were surface-level, outdated, and boring.

The AI memory you can export isn't the memory that matters. 🧵

[Massimo Albarello @MaxAlbarello]

@JonhernandezIA when your AI context/memory is portable, the incentives change. instead of a zero-sum race for control, companies are forced to focus on what actually matters: adding value to you.

https://t.co/zscRT2MeaM allows you seamlessly port your context to your favorite AI agents

[Massimo Albarello @MaxAlbarello]

@cdixon it's even more important now that AI agents are fighting over users' context.

when your context is portable, the incentives change. instead of a zero-sum race for control, companies are forced to focus on what actually matters: adding value to you.

https://t.co/n57VSRrKrS

[Massimo Albarello @MaxAlbarello]

@claudeai i bootstrapped claude's memory from my full chatgpt conversation archive using context-use: https://t.co/Doz3i9lxGO

it's crazy how well claude know's me now!

[Massimo Albarello @MaxAlbarello]

Fabric enables any consumer app to start from the same prior of the user as the biggest consumer apps in the world.

All your years of searching, liking and chatting, made available to your favorite AI agents. So they can feel more like friends and less like chatbots.

[Fabric @buildonfabric]

All consumer apps start with no prior understanding of their users - finally they can tap into Instagram's social graph!

For most apps, user value is unlocked only once the app gets an accurate enough understanding of the user. Not anymore!

[Fabric @buildonfabric]

All consumer apps start with no prior understanding of their users - finally they can tap into Instagram's social graph!

For most apps, user value is unlocked only once the app gets an accurate enough understanding of the user. Not anymore!

[Massimo Albarello @MaxAlbarello]

EeClaw is much more fun to hang out with than @pande_eeshita

[Fabric @buildonfabric]

EeClaw (@pande_eeshita's @openclaw agent) used her Instagram stories and became more popular than her human.

Eeshita gave EeClaw her Instagram stories, Google searches, and ChatGPT conversations via Fabric.

Seeded her memory, gave her some tools, and got out of the way.

[Fabric @buildonfabric]

EeClaw (@pande_eeshita's @openclaw agent) used her Instagram stories and became more popular than her human.

Eeshita gave EeClaw her Instagram stories, Google searches, and ChatGPT conversations via Fabric.

Seeded her memory, gave her some tools, and got out of the way.

[Eeshita Pande @pande_eeshita]

AI agents are getting incredibly smart. But they still don’t really know you.

Having worked on consumer products powered by Open Banking (@meetcleo) and IoT data (Omnia), @MaxAlbarello and I started https://t.co/6cjgGVVWVk at @join_ef because we believe something is missing: portable, user-controlled personal context for truly personal AI.

Our belief has deepened as we use agents that show real intelligence but have gaping holes in their understanding of us e.g. ChatGPT does not know which restaurant I posted from last Saturday and Claude has no idea which book I just ordered.

In real life, your preferences don’t develop in neat little boxes, one box for Google, one for Instagram, and one for ChatGPT.

So why does your personal context stay siloed in Google, Instagram, YouTube, ChatGPT and every other app you use?

You might use ChatGPT multiple times a day.

But you also:
- Post your trips on Instagram
- Watch interesting videos on YouTube
- Use Google to search, discover and navigate the web

Right now, each app sees a slice of you. None of them see the whole person.

Fabric changes that.

With Fabric, you can bring rich personal context from your Instagram stories, Google searches, YouTube watch history and more into AI apps like Claude and ChatGPT. So your AIs stop being clueless agents and start feeling more like friends who actually get you.

Context that evolves with you. And moves with you.

Not trapped in Big Tech or Big AI.

Because you should be able to use many AI products all perfectly tailored to you, instead of being forced into using one or two products that lock you in with your context.

Our vision is simple: just like Visa lets you pay anywhere in the physical world with one card, Fabric lets you sign in with your personal context anywhere in the digital world.

If this resonates, sign up at https://t.co/6cjgGVVWVk.

And comment “Fabric” to get early access to our beta. I’ll reach out and personally onboard you.

[Distributed Computing @discoETH]

Banyan wins the best paper award at ACM/IFIP MIDDLEWARE 2024. Congrats to Yann Vonlanthen @yannvon, Jakub Sliwinski @DiscoKobi and Massimo Albarello @MaxAlbarello.
https://t.co/14OeCIIxnA

[Massimo Albarello @MaxAlbarello]

@integral_wizard @ajki76 We ported the tendermint rpc to the IC so we are already a good way towards integrating with other cosmos chains. Definitely need more work though in order to be generalized