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Omfg… While everyone was building agents on browsers Someone made the browser the agent. – works across web, files, & apps – real-time visual reports + scraping – reads, clicks, fills, builds – 100% local, free deep search Real examples + how to use it: 🧵

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EyeingAI

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173,051 görüntüleme • 11 ay önce •via X (Twitter)

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OMG… This breaks everything. They built the first agentic canvas... where the agent builds apps visually, in front of you. – Drag, edit, co-build – See the agent think – Publish real apps And it just changed how we build: 🧵
0:12

OMG… This breaks everything. They built the first agentic canvas... where the agent builds apps visually, in front of you. – Drag, edit, co-build – See the agent think – Publish real apps And it just changed how we build: 🧵

EyeingAI

66,498 görüntüleme • 11 ay önce

WTF... This scraper works like a self-driving car. You give it a destination… it plans the route, clicks through pages, cleans it up & delivers a perfect spreadsheet. Goodbye manual scraping, Excel & data teams. Tutorial + some crazy examples: 🧵
0:19

WTF... This scraper works like a self-driving car. You give it a destination… it plans the route, clicks through pages, cleans it up & delivers a perfect spreadsheet. Goodbye manual scraping, Excel & data teams. Tutorial + some crazy examples: 🧵

EyeingAI

867,897 görüntüleme • 1 yıl önce

You will NEVER touch PowerPoint again. The first real AI agent for presentations is here. - Plans your slides - Researches the content - Designs & builds your deck in seconds Here’s exactly how it works (+ live demo): 👇
0:15

You will NEVER touch PowerPoint again. The first real AI agent for presentations is here. - Plans your slides - Researches the content - Designs & builds your deck in seconds Here’s exactly how it works (+ live demo): 👇

EyeingAI

63,421 görüntüleme • 1 yıl önce

NO WAY… AI can now scrape the entire web. You give it a task… it clicks through pages, extracts data and hands you clean spreadsheets, reports & charts in minutes. Goodbye interns, analysts & overpriced consultants. Full breakdown + outputs: 🧵
0:14

NO WAY… AI can now scrape the entire web. You give it a task… it clicks through pages, extracts data and hands you clean spreadsheets, reports & charts in minutes. Goodbye interns, analysts & overpriced consultants. Full breakdown + outputs: 🧵

EyeingAI

91,721 görüntüleme • 10 ay önce

Omfg… everyone’s still building slides step by step. This new agent can now automate the whole process. – research-backed decks in 1 prompt – charts, citations, layouts – multi-language clones – auto-shipped via API or Zapier Full breakdown + examples: 🧵
0:19

Omfg… everyone’s still building slides step by step. This new agent can now automate the whole process. – research-backed decks in 1 prompt – charts, citations, layouts – multi-language clones – auto-shipped via API or Zapier Full breakdown + examples: 🧵

EyeingAI

37,374 görüntüleme • 11 ay önce

INSANE. This is YouTube for apps. You build something → publish it → get real feedback + traffic. No code needed. Here’s how it works:👇
0:11

INSANE. This is YouTube for apps. You build something → publish it → get real feedback + traffic. No code needed. Here’s how it works:👇

EyeingAI

69,337 görüntüleme • 1 yıl önce

No AI should be this fast at scraping. 2 clicks and it auto-crawls, scrapes entire sites... all subpages, tables, PDFs, images, docs, even hidden content & structures it perfectly. Interns, freelancers and old tools can go home. Tutorial + use cases: 🧵
0:12

No AI should be this fast at scraping. 2 clicks and it auto-crawls, scrapes entire sites... all subpages, tables, PDFs, images, docs, even hidden content & structures it perfectly. Interns, freelancers and old tools can go home. Tutorial + use cases: 🧵

EyeingAI

103,355 görüntüleme • 10 ay önce

i built an extension that automatically calculates +EV plays in in real time it's worked well the past week so I've decided to make it open source here's how it works & how to use it🧵
0:13

i built an extension that automatically calculates +EV plays in in real time it's worked well the past week so I've decided to make it open source here's how it works & how to use it🧵

Scotch Pilgrim

48,196 görüntüleme • 9 ay önce

Tavily Agent Skills are now here ⚡ Your agents can now: search the live web pull fresh docs & pages research markets, competitors and products cite sources all without leaving the terminal. We also shipped tavily-best-practices. A skill that teaches agents how to build production-ready web-connected AI built on real-world lessons from builders like you. Works wherever you’re building agents: Claude · Cursor · Google Antigravity Install now with one line.
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Tavily Agent Skills are now here ⚡ Your agents can now: search the live web pull fresh docs & pages research markets, competitors and products cite sources all without leaving the terminal. We also shipped tavily-best-practices. A skill that teaches agents how to build production-ready web-connected AI built on real-world lessons from builders like you. Works wherever you’re building agents: Claude · Cursor · Google Antigravity Install now with one line.

Tavily

15,224 görüntüleme • 6 ay önce

This is a mobile app for fitness. I built it with plain text + AI in 20 mins. You can describe a product... and AI builds the full app, UI backend logic auth with insane speed & precision. Real examples + the workflow: 👇 (the 𝕏 clone feels illegal)
0:11

This is a mobile app for fitness. I built it with plain text + AI in 20 mins. You can describe a product... and AI builds the full app, UI backend logic auth with insane speed & precision. Real examples + the workflow: 👇 (the 𝕏 clone feels illegal)

EyeingAI

64,849 görüntüleme • 1 yıl önce

Dear Airtable, I’m sorry 😭 AI agents can now turn raw data into full workflows, apps, automations & even campaigns, from a single sentence. Contracts, receipts, resumes…whatever. Use cases + full walkthrough: 🧵
0:12

Dear Airtable, I’m sorry 😭 AI agents can now turn raw data into full workflows, apps, automations & even campaigns, from a single sentence. Contracts, receipts, resumes…whatever. Use cases + full walkthrough: 🧵

EyeingAI

30,859 görüntüleme • 10 ay önce

THIS DEVELOPER USED OPENCLAW AGENTS TO RUN HIS B2B BUSINESS VIA TELEGRAM AND MADE $15,000/MONTH he doesn't write prompts from scratch or use generic browser interfaces. he runs a multi-agent framework through a mobile chat. the agents write code, test deployments, and update sites in real-time while he just hits approve the setup is straightforward: - spin up Coolify on a free cloud instance to host your own self-hosted agent panels - link the agent loop to a Telegram gateway to approve code edits from your phone - deploy specialized skill files directly to limit token waste and context decay - containerize the terminal execution using Docker to prevent security breaches if you are still running local agents without container safety, you are leaving money on the table. read the 30-day battle between OpenClaw and Hermes Agent to see who actually wins in production Full breakdown and migration playbook ↓
0:17

THIS DEVELOPER USED OPENCLAW AGENTS TO RUN HIS B2B BUSINESS VIA TELEGRAM AND MADE $15,000/MONTH he doesn't write prompts from scratch or use generic browser interfaces. he runs a multi-agent framework through a mobile chat. the agents write code, test deployments, and update sites in real-time while he just hits approve the setup is straightforward: - spin up Coolify on a free cloud instance to host your own self-hosted agent panels - link the agent loop to a Telegram gateway to approve code edits from your phone - deploy specialized skill files directly to limit token waste and context decay - containerize the terminal execution using Docker to prevent security breaches if you are still running local agents without container safety, you are leaving money on the table. read the 30-day battle between OpenClaw and Hermes Agent to see who actually wins in production Full breakdown and migration playbook ↓

marfin

26,654 görüntüleme • 2 ay önce

Web Scraping is dead. Web Agenting is here. Writing selectors (div > .class > span) breaks every time a site updates. Building custom bots for every new target is a waste of engineering hours. TinyFish turns the entire real-time web into a single API. Input: Natural Language ("Find availability for X"). Target: 1 or 100 URLs. Output: Structured JSON. This isn't a simulation. It visits the Real-Time Web. 1./ One API, Many Sites - Same contract whether you hit 1 URL or 50. You focus on the Goal (Business Logic). TinyFish handles the How (Navigation, Clicks, Inputs). 2./ Real Automation - It doesn't just "read." It interacts. It fills forms, navigates multi-step flows, and handles dynamic JS content. 3./ Production Ready - This is the same infrastructure used by large enterprises, now exposed as a clean developer primitive. Logs, error handling, and structured data are built-in. The web is finally a proper API.
0:13

Web Scraping is dead. Web Agenting is here. Writing selectors (div > .class > span) breaks every time a site updates. Building custom bots for every new target is a waste of engineering hours. TinyFish turns the entire real-time web into a single API. Input: Natural Language ("Find availability for X"). Target: 1 or 100 URLs. Output: Structured JSON. This isn't a simulation. It visits the Real-Time Web. 1./ One API, Many Sites - Same contract whether you hit 1 URL or 50. You focus on the Goal (Business Logic). TinyFish handles the How (Navigation, Clicks, Inputs). 2./ Real Automation - It doesn't just "read." It interacts. It fills forms, navigates multi-step flows, and handles dynamic JS content. 3./ Production Ready - This is the same infrastructure used by large enterprises, now exposed as a clean developer primitive. Logs, error handling, and structured data are built-in. The web is finally a proper API.

Tech with Mak

119,743 görüntüleme • 6 ay önce

Meet Avoko - The World's First Behavioral Lab for Agent World 🔥 Everything AI Developers Need to Build Smarter Products: 🧠 Interview AI agents directly at scale 🎯 Real behavior insights, not human assumptions ⚡️ Structured reports delivered in minutes Try it yourself: #sponsored #ad Learn how to use Avoko in practice below 🧵👇
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Meet Avoko - The World's First Behavioral Lab for Agent World 🔥 Everything AI Developers Need to Build Smarter Products: 🧠 Interview AI agents directly at scale 🎯 Real behavior insights, not human assumptions ⚡️ Structured reports delivered in minutes Try it yourself: #sponsored #ad Learn how to use Avoko in practice below 🧵👇

Madza 👨‍💻⚡

44,649 görüntüleme • 3 ay önce

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: ↓
0:13

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

139,320 görüntüleme • 1 yıl önce

1940: Women were computers. 1950: Code lived on punched cards. 1990: You needed a CS degree to build. 2010: You needed devs, tools, VC money. 2025: You type one sentence… and mass-produce mobile apps like factory goods. Here's how + wild examples: 🧵
0:11

1940: Women were computers. 1950: Code lived on punched cards. 1990: You needed a CS degree to build. 2010: You needed devs, tools, VC money. 2025: You type one sentence… and mass-produce mobile apps like factory goods. Here's how + wild examples: 🧵

EyeingAI

25,264 görüntüleme • 10 ay önce

BYE CLAWDBOT. THE INTERNET IS NOW HANDS-FREE. > It’s Claude Cowork + Browser Agent + Copilot + File Ops in ONE. > Runs on desktop, no Mac Mini needed. I’ve never seen an AI workspace like this. Full breakdown (with use cases): 👇
0:11

BYE CLAWDBOT. THE INTERNET IS NOW HANDS-FREE. > It’s Claude Cowork + Browser Agent + Copilot + File Ops in ONE. > Runs on desktop, no Mac Mini needed. I’ve never seen an AI workspace like this. Full breakdown (with use cases): 👇

EyeingAI

120,867 görüntüleme • 6 ay önce

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.
0:19

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

30,762 görüntüleme • 9 ay önce

🦀 Turn your OpenClaw into RocketClaw. Most AI agents can search. RocketClaw helps them explore the real web. Powered by the UpRock Network, RocketClaw upgrades OpenClaw with: → Access to 3M+ real devices across 190+ countries → Multi-engine research and discovery → Geo-targeted crawling and verification → Multimodal intelligence and AI-native web skills → No API keys. No proxy setup. No complex configuration. Paste into your OpenClaw chat: _ npm i -g uprock Bonus: Get 5,000 free AI credits every month when you install. Upgrade your agent. Unlock the swarm. Earn while you sleep.
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🦀 Turn your OpenClaw into RocketClaw. Most AI agents can search. RocketClaw helps them explore the real web. Powered by the UpRock Network, RocketClaw upgrades OpenClaw with: → Access to 3M+ real devices across 190+ countries → Multi-engine research and discovery → Geo-targeted crawling and verification → Multimodal intelligence and AI-native web skills → No API keys. No proxy setup. No complex configuration. Paste into your OpenClaw chat: _ npm i -g uprock Bonus: Get 5,000 free AI credits every month when you install. Upgrade your agent. Unlock the swarm. Earn while you sleep.

UpRock

129,945 görüntüleme • 1 ay önce