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🚨 Perplexity dropped "Computer" and nobody is talking about it. An AI system that runs 19 models at once and builds entire projects by itself. It researches, designs, codes, and deploys live websites in minutes. No subscriptions to 5 different tools. No switching tabs. Here's how to use it:

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33,669 görüntüleme • 3 ay önce •via X (Twitter)

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China released an AI employee that works 24x7 on its own and runs 100% locally It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. 100% Open Source.
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China released an AI employee that works 24x7 on its own and runs 100% locally It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. 100% Open Source.

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🚨 China has released an AI employee that runs 100% locally. It can do research, code, build websites, create slide decks, and generate videos.. all by itself. And it comes with its own computer. 100% Open Source.
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🚨 China has released an AI employee that runs 100% locally. It can do research, code, build websites, create slide decks, and generate videos.. all by itself. And it comes with its own computer. 100% Open Source.

Alvaro Cintas

455,772 görüntüleme • 3 ay önce

🚨BREAKING: China just released an AI employee that runs on your own computer. It can search the web, write code, build websites, make slides, and create videos. All by itself. It even comes with its own built-in computer. 100% Open Source.
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🚨BREAKING: China just released an AI employee that runs on your own computer. It can search the web, write code, build websites, make slides, and create videos. All by itself. It even comes with its own built-in computer. 100% Open Source.

Hasan Toor

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I no longer think you should use 3 different tools to handle routine tasks it’s outdated, fragile, and takes hours to keep working use this instead.. it builds itself and just works. 5 things you can do: 1. personalized cold email campaigns
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I no longer think you should use 3 different tools to handle routine tasks it’s outdated, fragile, and takes hours to keep working use this instead.. it builds itself and just works. 5 things you can do: 1. personalized cold email campaigns

Nelly;

30,201 görüntüleme • 1 yıl önce

🛠️ What if a robot could invent its own tools. And teach itself how to use them? That’s exactly what VLMgineer does: a new framework that lets Vision Language Models (VLMs) design physical tools and the actions to use them, entirely on their own. No templates. No human demonstrations. Just raw, AI-driven creativity. Why it matters ✅ Co-designs tools and actions together using VLMs, ensuring tight coupling between form and function ✅ Uses VLM-guided evolution (not random search) to refine designs intelligently ✅ Outperforms human-designed tools by +64.7% in task success across 12 RoboToolBench challenges ✅ Produces better-than-everyday tools for real manipulation tasks—measured in success rate and elegance It builds on the emerging trend of large-model-guided evolutionary design (like Eureka and AlphaEvolve) and brings it into physical robotics. It opens the door to general-purpose, automated hardware design, no strong priors needed. Code & paper: —- Weekly robotics and AI insights. Subscribe free:
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🛠️ What if a robot could invent its own tools. And teach itself how to use them? That’s exactly what VLMgineer does: a new framework that lets Vision Language Models (VLMs) design physical tools and the actions to use them, entirely on their own. No templates. No human demonstrations. Just raw, AI-driven creativity. Why it matters ✅ Co-designs tools and actions together using VLMs, ensuring tight coupling between form and function ✅ Uses VLM-guided evolution (not random search) to refine designs intelligently ✅ Outperforms human-designed tools by +64.7% in task success across 12 RoboToolBench challenges ✅ Produces better-than-everyday tools for real manipulation tasks—measured in success rate and elegance It builds on the emerging trend of large-model-guided evolutionary design (like Eureka and AlphaEvolve) and brings it into physical robotics. It opens the door to general-purpose, automated hardware design, no strong priors needed. Code & paper: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

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Type what you want. Watch Zapier build it. Debuted live at ZapConnect: an AI copilot that works across Canvas, Tables, Interfaces, Zaps, Chatbots, and Agents. No more stitching tools together by hand. Just describe your idea, and Copilot delivers a production-ready workflow. It knows when to use automation, when to spin up an agent, and how to connect everything end-to-end. This is AI transformation through people. Everyone on your team can now go from idea → system in minutes. Zapier doesn’t just connect apps. Zapier makes your whole team a builder. And it’s here now. Try it:
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Type what you want. Watch Zapier build it. Debuted live at ZapConnect: an AI copilot that works across Canvas, Tables, Interfaces, Zaps, Chatbots, and Agents. No more stitching tools together by hand. Just describe your idea, and Copilot delivers a production-ready workflow. It knows when to use automation, when to spin up an agent, and how to connect everything end-to-end. This is AI transformation through people. Everyone on your team can now go from idea → system in minutes. Zapier doesn’t just connect apps. Zapier makes your whole team a builder. And it’s here now. Try it:

Zapier

15,413 görüntüleme • 9 ay önce

wow this is literally ChatGPT + PowerPoint + McKinsey in one tab it researches, analyzes, and builds full decks in minutes 8 wild use cases + link to access: 1. cloud to edge deck
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wow this is literally ChatGPT + PowerPoint + McKinsey in one tab it researches, analyzes, and builds full decks in minutes 8 wild use cases + link to access: 1. cloud to edge deck

Nelly;

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THIS APP IS CRAZY. Coursiv is generating $200K/month by teaching how to use AI. It turns learning complex AI tools into an income-generating journey. It uses deep personalization, interactive learning, and smart monetization. Breaking it down 👇🧵 (1/19)
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THIS APP IS CRAZY. Coursiv is generating $200K/month by teaching how to use AI. It turns learning complex AI tools into an income-generating journey. It uses deep personalization, interactive learning, and smart monetization. Breaking it down 👇🧵 (1/19)

Siro

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THIS FREE CHINESE AI MODEL RUNS LOCALLY FOREVER AND BUILDS ANYTHING YOU CAN IMAGINE - INCLUDING FULL OPEN WORLD GAMES GLM 5.2 - open, local, free forever - no bills, no limits, no subscription want an open world game with multiplayer - describe it, it builds - want business automation - builds that too - literally anything running 24/7 same as Claude and GPT at $200/month - on your own machine, forever free - saves $2,400/year in subscriptions responds in 2-3 seconds - your computer, your speed, nobody in the queue ahead of you whoever finds out about this today saves thousands and ships a real product before everyone still waiting for the perfect tool
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THIS FREE CHINESE AI MODEL RUNS LOCALLY FOREVER AND BUILDS ANYTHING YOU CAN IMAGINE - INCLUDING FULL OPEN WORLD GAMES GLM 5.2 - open, local, free forever - no bills, no limits, no subscription want an open world game with multiplayer - describe it, it builds - want business automation - builds that too - literally anything running 24/7 same as Claude and GPT at $200/month - on your own machine, forever free - saves $2,400/year in subscriptions responds in 2-3 seconds - your computer, your speed, nobody in the queue ahead of you whoever finds out about this today saves thousands and ships a real product before everyone still waiting for the perfect tool

Noisy

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Fixing plastic AI generated skin is a $100k/month problem. Apps like Enhancor AI use open-source models and ComfyUI workflows as a backend. How do I know this? I built a workflow that clones their core feature and I'm dropping it below for FREE. Same results, no subscriptions. Use it yourself OR build your own app around it. Why pay for open-source tools? 🧵
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Fixing plastic AI generated skin is a $100k/month problem. Apps like Enhancor AI use open-source models and ComfyUI workflows as a backend. How do I know this? I built a workflow that clones their core feature and I'm dropping it below for FREE. Same results, no subscriptions. Use it yourself OR build your own app around it. Why pay for open-source tools? 🧵

rob - comfyui

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How it feels using the latest AI tools to summarize earnings transcripts and create excel models from scratch in minutes (your fund is down 26% YTD tho)
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How it feels using the latest AI tools to summarize earnings transcripts and create excel models from scratch in minutes (your fund is down 26% YTD tho)

litquidity

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JUST DROPPED⚡: An open-source AI that makes entire movies from one sentence. It creates full scenes, adds voice, syncs lips, does VFX and even builds the soundtrack. Here are some examples + How to do it yourself: ↓
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JUST DROPPED⚡: An open-source AI that makes entire movies from one sentence. It creates full scenes, adds voice, syncs lips, does VFX and even builds the soundtrack. Here are some examples + How to do it yourself: ↓

EyeingAI

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ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.
0:17

ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.

Rohan Paul

50,097 görüntüleme • 4 ay önce

Adobe for Creativity + Claude 🤯 just dropped! Photoshop. Lightroom. Illustrator. Firefly. Premiere. Express. InDesign. Stock. Firefly Boards (my favorite). All inside Claude. No app switching. Just plain English. Here's an example how to connect it and use with Boards:
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Adobe for Creativity + Claude 🤯 just dropped! Photoshop. Lightroom. Illustrator. Firefly. Premiere. Express. InDesign. Stock. Firefly Boards (my favorite). All inside Claude. No app switching. Just plain English. Here's an example how to connect it and use with Boards:

Kris Kashtanova

35,591 görüntüleme • 2 ay önce

In 2025, the smartest thing you can do is this: → Pick a painful problem → Train an AI agent to solve it → Charge people for using it Here's what I'd use to start and scale it to $5k/month, with no team, no funding, no code 👇
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In 2025, the smartest thing you can do is this: → Pick a painful problem → Train an AI agent to solve it → Charge people for using it Here's what I'd use to start and scale it to $5k/month, with no team, no funding, no code 👇

EyeingAI

51,466 görüntüleme • 1 yıl önce

19-year-old from china makes $9,000/month designing product sites and ships each one in an afternoon. here's his exact setup the whole thing runs on two tools that each do one job: > brief written by hand: 5 min > Moonchild builds the design system, then every screen from it: 20 min > MCP hands the design to Claude as real structure, not a screenshot: instant > Claude Code reads those exact tokens and builds the live app: 20 min > second Claude session reviews the build for drift: 10 min total: about an hour. screen five still matches screen one. no agency, no dev, no design team the trick is MCP. the design tool passes Claude the actual colors, components and layout, so it builds from the source instead of guessing from a picture. full pipeline, every prompt, in the article above.
0:12

19-year-old from china makes $9,000/month designing product sites and ships each one in an afternoon. here's his exact setup the whole thing runs on two tools that each do one job: > brief written by hand: 5 min > Moonchild builds the design system, then every screen from it: 20 min > MCP hands the design to Claude as real structure, not a screenshot: instant > Claude Code reads those exact tokens and builds the live app: 20 min > second Claude session reviews the build for drift: 10 min total: about an hour. screen five still matches screen one. no agency, no dev, no design team the trick is MCP. the design tool passes Claude the actual colors, components and layout, so it builds from the source instead of guessing from a picture. full pipeline, every prompt, in the article above.

Ridark

19,477 görüntüleme • 1 ay önce

🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.
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🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.

Kanika

737,110 görüntüleme • 3 ay önce

🚨 Adaptive just dropped an AI tool that builds full apps in minutes. You can even replicate existing ones and add new features, like this Instagram clone with image editing via GPT-4o. 5 powerful examples (and how to try free):
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🚨 Adaptive just dropped an AI tool that builds full apps in minutes. You can even replicate existing ones and add new features, like this Instagram clone with image editing via GPT-4o. 5 powerful examples (and how to try free):

Alvaro Cintas

51,443 görüntüleme • 1 yıl önce

I explored a further possibility with local models: Qwen3.6 35B A3B + NVIDIA LocateAnything-3B as a local Computer Use agent (proof of concept). In the demo, I asked it to switch my Mac to light mode. It did. Then back to dark. Did that too — finding the right toggle in System Settings, clicking it, and verifying the change itself. It's fully screenshot-based, so no Accessibility API needed. If it's on screen, the agent can see it and act on it. This runs entirely on your own hardware — private, local, built from two small open models.
0:16

I explored a further possibility with local models: Qwen3.6 35B A3B + NVIDIA LocateAnything-3B as a local Computer Use agent (proof of concept). In the demo, I asked it to switch my Mac to light mode. It did. Then back to dark. Did that too — finding the right toggle in System Settings, clicking it, and verifying the change itself. It's fully screenshot-based, so no Accessibility API needed. If it's on screen, the agent can see it and act on it. This runs entirely on your own hardware — private, local, built from two small open models.

stevibe

43,979 görüntüleme • 1 ay önce