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KP
@thisiskp_
The "Build In Public" Guy. Head of Community at @Netlify. Evangelist for AI startups. Prev: @PaddleHQ @joinODF
2.7K Following    71.6K Followers
I want to see Taj Mahal Iike this
GPT-6 Astra just vibe-coded the Oval Office in 3D. We described the set design > GPT-6 Astra generated the scene code > Higgsfield built the location model in Blender and rendered it with Cycles. The whole pipeline ran end-to-end on Higgsfield Supercomputer.
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Are you kidding me? What an incredible future we are already living in! OpenAI nailed it with this ad The 3D rocket game was too good
This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
Here’s a great recap from @taniacryptid on our recent Render ATL trip We piloted a “live workshop” style experience and it was so fun More details on the full line up of events and users we ran into 👇🏼
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Netlify skipped the booth at @RenderATL this year and ran a builder station on the expo floor instead. People came by with projects they already wanted to ship and left with them live. @taniacryptid wrote up how the week in Atlanta went.
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Colin Wren from @stripe built and deployed a Tic-Tac-Toe app in three minutes. Provisioning it by hand would have taken another 10 to 20. Stripe Projects created the Netlify account and project first, so Codex only had to write the app.
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This is an excellent idea imo Problem: Your AI re reads your company context from scratch over and over again. Which makes things slow and expensive Solution: An independent context graph underneath the models, it is the only logical architectural decision if you want to take back control.
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Today we're launching OM2. Your AI re-reads your entire company from scratch every time you ask it something. It’s why more than 50% of your token bill isn't in the answer, but in the search for it. OM2 gives your AI a permanent memory of your company. 🧠
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“It is a computer that treats agents as first-class citizens” Hell yeah! Great work @0xidanlevin
We just submitted our project to the @OpenAIDevs WebMCP hackathon: The WebMCP Computer. WebMCP Computer is an operating system that lives inside the browser, with WebMCP as its native control layer. It is a computer that treats agents as first-class citizens, where files, processes, applications, windows, and the terminal are exposed directly through WebMCP. You can send anyone one URL that becomes a disposable computer for any agent task. We created a computer instance in ChatGPT Sites, open it with Codex’s in-app browser and try it here: Some examples of what you can do with WebMCP Computer: 1/ Give a coding agent a fresh computer to clone a repository, edit code, run tests, and preview the result. 2/ Let an agent inspect logs, manage processes, change configurations, and repair a broken system. 3/ Give a research agent its own workspace to browse, download files, analyze data, and create a report. 4/ Create reproducible environments for evaluating and comparing different agents. 5/ Let humans and agents work together in the same environment, with the agent using WebMCP and the human using the GUI. The list of applications is endless, with more examples in our GitHub. The project is fully open source under the MIT license. Created by our awesome founding engineer @ilay_alog.
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You don't need to be tied to your laptop while AI is working. @thisiskp_ and Chris Watts from @OpenRouter discuss why cloud-based AI agents are becoming a natural fit for longer-running development tasks.
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Coolest app on X today
Aaaaaaand we're live! A persistent, infinite, point-and-click adventure. Every picture is a fork. Click something in it, decide what happens, and the world grows in that direction.
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Last day before the WebMCP Challenge closes out It takes literally 10 minutes to make your web app or site WebMCP friendly Can even ask Codex to do it or use @Netlify Agent Runners to do it with any model
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Submissions for the @OpenAIDevs WebMCP Challenge close tomorrow at 5 p.m. PT. If you are still deciding what to build, our five demo apps show what WebMCP looks like in practice, including a checkout flow and a reservation system that pushes back when a slot is genuinely full.
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When I first read this, I thought it was over hyped Now I know after a week of using Instinct it is under hyped
I’ve really been enjoying Instinct, a personal AI agent. The simplest description for it is: OpenClaw for normal people. It feels like magic. And contrary to what some people have said, I don’t think the appeal is limited to Silicon Valley types, we are setting my dad up with it too. I’ve exchanged 677 messages with Instinct in the past five days. Here are some of the things it has done for me: 1) I asked who I should see about fixing my flat feet. It recommended starting with a podiatrist, found a well-reviewed one who takes my insurance, and filled out all the paperwork for me. I HATE finding in-network doctors, so this is a great use case for me. 2) It helped decrease my Comcast bill from $100/month to $60/month. It hit a wall on this one but gave me a number to call and an exact script. The call took three minutes. 3) We’re ordering custom merch for my brother’s wedding. It found vendors and is messaging several of them on WhatsApp- asking questions, comparing options, and negotiating prices while I’m asleep because the vendors are in India. 4) I’m planning his bachelor party. Everyone posted their arrival details in a WhatsApp group, so I asked Instinct to organize everything in a spreadsheet. It has access to my WhatsApp, so there was nothing for me to copy and paste. 5) My wife and I are going a wellness retreat (Miraval) in a couple of weeks, where many of the activities need to be booked in advance. After some back-and-forth about what we’d enjoy, Instinct researched the highest-rated activities and booked them for us. Massage slots appeared to be unavailable online, so it emailed the hotel from my account, found times that worked for us, and booked those too. 6) It did something similar for a girls’ trip my wife is taking with a friend, but booked very different activities for the two of them than it did for us. 7) It booked a DMV appointment for my new driver’s license. 8) It canceled all my Amazon Subscribe & Save subscriptions. 9) It activated all the free offers on my credit cards, just in case. I can't be bothered with those but if it's no work on my end there is no harm 10) It price-shopped my car insurance and concluded that I already have the best rate through Tesla. 11) My wife and I are traveling on the same United flight but booked on separate tickets. Instinct contacted United and linked our itineraries, a task that requires chatting with the airline and can’t be done through self-service. 12) It found and booked a factory tour at an Amazon fulfillment center that I'd been meaning to do, at a time that fit my calendar. 13) It suggested topics for a podcast I was appearing on. I didn’t end up using all of them, but they were pretty good. 14) It reminded me about a bunch of unused gift cards I had forgotten about. 15) I sent it a photo of a toll notice. It paid the toll, discovered another outstanding one, and paid that too. None of these things is individually life-changing. Some of these things can be done via their own apps... But together, they represent hours of annoying life admin I didn’t have to do, and I have one easy place (imessage!) to do them. There’s an obvious question: why doesn’t ChatGPT, or, Meta or Google already do all of this? The underlying technology clearly exists- to use tools and complete multi-step tasks. But they haven't packaged it as a persistent personal operator with this level of access to your accounts and communications. The other AI's are also more cautious about purchases, cancellations, messages, and other external actions, so they will often stop for confirmation, which kills the vibe tbh! Note: I haven't been playing with Grok Bot yet, which I think does a lot of this. A year ago I thought memory was the killer feature and it was awesome that ChatGPT had it, but Meta and Google had even more context / a natural advantage that they could ride on to be your personal AI agent. Meta's data with WhatsApp, etc...; Google with Gmail, Calendar, Chrome, and Android. But I've found the data that Instinct gets from being connected to your email to be pretty sufficient to get started and it can fill in the gaps. And the amount of context Google/Meta have that could make their assistants incredibly useful would also create enormous privacy, compliance, and trust problems for them. Plenty of people are uncomfortable giving those companies this much visibility into their lives, lawyers and lawmakers would come after them like crazy... not to mention there are probably all sorts of T&C's that Instinct is breaking. It is a bit scary how much information Instinct has and what it can do. We're going to start to see a new excuse: "I didn't send that email, it was my AI assistant" Anyway, good opening for Instinct. Much less about having a uniquely capable model and more about the product harness around it: integrations, permissions, context, persistence, willingness to keep working until the task is finished. Something like: ChatGPT/Claude still feel like assistants that you operate, but Instinct is an assistant you employ. Very cool product. It has the potential to make life easier for a lot of people. Excited to see more develop here. And if you want to sign up go here: currently on waitlist. I don't have any more invites. I gave out 100+ invites on here and they were taken in 2 mins. If I get more I'll post them!
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You and your agent collaborating? This is cool WebMCP unlocks so many use cases like this
I'm very excited about WebMCP Here's Paper in an iframe, being controlled by an external agent that wraps it, all in the browser WebMCP opens up cool embedded flows
I hate when AI agents just tell me what can be done or when they stay passive This is the year of agentic actions Doing > talking Excited to see more and more attempts like Catch come to play
Big NEWS: Today we're launching Catch AI, an admin-assistant for busy executives. We started Catch with a simple idea: AI should actually do the administrative work executives hate doing themselves. Not suggest. Not summarize. Do. >>
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Today at noon ET, an idea that currently exists only in someone's head becomes a deployed app in under an hour. @JJEnglert and @thisiskp_ are doing it live with Claude and Netlify, with nothing prepared beforehand.
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Check out
Aaaaaand, WE’RE LIVE ON PRODUCT HUNT!! 😼 come hunt us, everyone! Thanks an amazing @thisiskp_ for hunting us! 🫶
Breaking news: Claude’s latest model Fable 5.1 is now available inside @Netlify for AI gateway and agent runs (Made this video using Fable 5.1)
75% cheaper cache reads? Did we read that right? Fable 5.1 is here and ready on Netlify.
Excuse me wait what?
Fable 5.1 is a beast at many things but one thing in particular I have been having a ton of fun with is generating videos through code. For this one I gave it a picture of a property lot. It designed a house for the lot, rendered it, and produced a cinematic walkthrough.
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Here’s the thing: Non-technical users might be surprised by this: ChatGPT can’t actually see your website the way you do. It hits your page like a tourist who doesn’t speak the language. Sounds dumb but it takes a screenshot. Guesses which button means “checkout.” Clicks, waits, screenshots again. Rename a button and the whole thing breaks, because it was never reading your site, it was reverse-engineering it. That’s a real problem now, not a hypothetical one. Why? Because ChatGPT passed 1 billion weekly active users (WAU) in August 2026, up from 400 million in early 2025. A third of consumers already start searches with an AI tool instead of Google. WebMCP fixes this underlying broken mechanism. A WebMCP-enabled site is designed to explicitly tell the browser what it can do (searchProducts, bookFlight) and what inputs each tool needs. No screenshots, no guessing. Same difference as scraping a bank’s site versus calling its API. This is why we’re excited at @Netlify to team up with @OpenAIDevs on the WebMCP Challenge. Our take on AX is simple: Agents should be first-class citizens on the web, not something sites barely tolerate. We’d love to see more products built or transformed to be agent-native. If you’re curious to explore WebMCP, this challenge is a great head start.
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