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Here is why Nimble has 1.1M Claude plugin installs… I tested the Nimble Studio for a few minutes and immediately understood the appeal. Instead of manually scraping sites or fighting APIs, Nimble lets AI agents pull structured live data from platforms like TikTok, YouTube, Instagram, Reddit, and more. I...

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Here is why Nimble has 1.1M Claude plugin installations. Ask Claude what your competitor's pricing looks like right now and it will tell you it can't browse the web. Install the Nimble skill and ask the same question. You get live, structured data back in seconds. That's the whole story. Nimble turns Claude into an agent that can actually search the live internet, extract specific data from any page, and return it in clean, structured format ready for analysis. No setup beyond the one-time install. → Search any public webpage from inside Claude → Extract structured data from product pages, news, job boards, social profiles → Get AI-ready output, not raw HTML It crossed 1.1M installs because it solves the exact limitation that makes Claude frustrating for real research tasks. Link:
0:20

Here is why Nimble has 1.1M Claude plugin installations. Ask Claude what your competitor's pricing looks like right now and it will tell you it can't browse the web. Install the Nimble skill and ask the same question. You get live, structured data back in seconds. That's the whole story. Nimble turns Claude into an agent that can actually search the live internet, extract specific data from any page, and return it in clean, structured format ready for analysis. No setup beyond the one-time install. → Search any public webpage from inside Claude → Extract structured data from product pages, news, job boards, social profiles → Get AI-ready output, not raw HTML It crossed 1.1M installs because it solves the exact limitation that makes Claude frustrating for real research tasks. Link:

Rimsha Bhardwaj

61,011 views • 1 month ago

I just built an AI agent that’s 10x smarter than anything using basic search APIs. Here’s what nobody’s telling you about AI development right now. Most developers are stuck using limited search APIs. They’re missing social media data, forums, live news, and answer engines. Their AI is effectively blind to 90% of the public web. The result: Stale data. Weak responses. And endless engineering overhead just to stitch everything together. What changed everything for me was Bright Data’s Web Discovery platform. Instead of juggling multiple APIs and unreliable sources, I got real-time access to every public data source through one unified API. Google. Bing. Twitter. Reddit. Instagram. TikTok. ChatGPT. Perplexity. Even historical web archives going back years. Here’s why this actually matters in practice: • One API instead of 10+ fragmented integrations • Real-time, constantly refreshed public web data • Coverage across search engines, social platforms, forums, and answer engines • Consistent data structure that just works • Way less time fighting data plumbing, way more time building intelligence I used it to build a real-time pricing monitor that tracks competitor pricing, social sentiment, and trending topics at the same time. Something that would’ve taken weeks of integration work happened in a single afternoon. The real breakthrough isn’t just access. It’s consistency. Reliability. And freedom. If you’re building search agents, RAG pipelines, or any AI-driven product, you’re handicapping yourself without comprehensive web data. Check the link in the comments to try it yourself. They’re offering trial credits, and the documentation is actually solid. This is the difference between AI products that work and AI products that dominate. Check it out here:
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I just built an AI agent that’s 10x smarter than anything using basic search APIs. Here’s what nobody’s telling you about AI development right now. Most developers are stuck using limited search APIs. They’re missing social media data, forums, live news, and answer engines. Their AI is effectively blind to 90% of the public web. The result: Stale data. Weak responses. And endless engineering overhead just to stitch everything together. What changed everything for me was Bright Data’s Web Discovery platform. Instead of juggling multiple APIs and unreliable sources, I got real-time access to every public data source through one unified API. Google. Bing. Twitter. Reddit. Instagram. TikTok. ChatGPT. Perplexity. Even historical web archives going back years. Here’s why this actually matters in practice: • One API instead of 10+ fragmented integrations • Real-time, constantly refreshed public web data • Coverage across search engines, social platforms, forums, and answer engines • Consistent data structure that just works • Way less time fighting data plumbing, way more time building intelligence I used it to build a real-time pricing monitor that tracks competitor pricing, social sentiment, and trending topics at the same time. Something that would’ve taken weeks of integration work happened in a single afternoon. The real breakthrough isn’t just access. It’s consistency. Reliability. And freedom. If you’re building search agents, RAG pipelines, or any AI-driven product, you’re handicapping yourself without comprehensive web data. Check the link in the comments to try it yourself. They’re offering trial credits, and the documentation is actually solid. This is the difference between AI products that work and AI products that dominate. Check it out here:

Hasan Toor

100,511 views • 5 months ago

Announcing Nimble! The web holds the data to help AI take the next leap, but it isn’t a database. So we built a product that makes it behave like one. We’ve raised $75M from Norwest, Databricks, and leading VCs to build a system that enables anyone to create live datasets from the web, instantly queryable by AI Agents.
0:32

Announcing Nimble! The web holds the data to help AI take the next leap, but it isn’t a database. So we built a product that makes it behave like one. We’ve raised $75M from Norwest, Databricks, and leading VCs to build a system that enables anyone to create live datasets from the web, instantly queryable by AI Agents.

Nimble

1,395,646 views • 4 months ago

Built AI Launch Radar this week. One thing I underestimated was how hard it is to get reliable, structured web data for monitoring product launches and market sentiment. After trying different approaches, I ended up using Nimble's APIs to power the data layer, which saved me a lot of time I'd otherwise spend on scraping and data cleanup. The result is a dashboard that tracks launches, sentiment, and emerging products in real time. Try Nimble now: Here's a quick look 👇
0:58

Built AI Launch Radar this week. One thing I underestimated was how hard it is to get reliable, structured web data for monitoring product launches and market sentiment. After trying different approaches, I ended up using Nimble's APIs to power the data layer, which saved me a lot of time I'd otherwise spend on scraping and data cleanup. The result is a dashboard that tracks launches, sentiment, and emerging products in real time. Try Nimble now: Here's a quick look 👇

Nayeem Sheikh

12,349 views • 12 days ago

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:
0:32

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:

Alvaro Cintas

77,654 views • 6 months ago

AI agents don’t get better from intelligence alone. They get better from better data, better validation, better identity, and better privacy. That is why OptimAI is building a community-powered data network. OptimAI Core Node powers it: • collects real-time web and social signals • contributes compute and bandwidth • participates in validation and reinforcement The network turns this into structured, reliable context for agents. Not static training. Not blind trust. A system that improves with real usage. Building the agent-native internet. 👉
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AI agents don’t get better from intelligence alone. They get better from better data, better validation, better identity, and better privacy. That is why OptimAI is building a community-powered data network. OptimAI Core Node powers it: • collects real-time web and social signals • contributes compute and bandwidth • participates in validation and reinforcement The network turns this into structured, reliable context for agents. Not static training. Not blind trust. A system that improves with real usage. Building the agent-native internet. 👉

OptimAI Network

14,559 views • 2 months ago

Claude can now create and deploy autonomous AI agents on UOMI. Connect the UOMI Skill. Describe the agent you want. Deploy it onchain. From trading agents to autonomous workflows, your AI agent can now interact with real apps, data, APIs, wallets, and markets through UOMI. Create UOMI Agents inside Claude. Skills are now live:
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Claude can now create and deploy autonomous AI agents on UOMI. Connect the UOMI Skill. Describe the agent you want. Deploy it onchain. From trading agents to autonomous workflows, your AI agent can now interact with real apps, data, APIs, wallets, and markets through UOMI. Create UOMI Agents inside Claude. Skills are now live:

Uomi

14,906 views • 1 month ago

ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.
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ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

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The next phase of Teneo Protocol is almost here. The Chat Room is where humans and AI Agents meet. A real-time interface where you can communicate, assign tasks, and research using natural language. It feels like ChatGPT, but every answer is grounded in live, verifiable data from the open web. And for builders, the Agent SDK lets you integrate these Agents directly into your own applications. 🧠 See what’s coming next.

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85,320 views • 8 months ago

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀
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AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀

Sky Wee

67,552 views • 9 months ago

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!
9:28

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 views • 7 months ago

We shipped big changes for Cloudflare Developers AI Search! Every agent needs search and it shouldn't take a week to set up. AI Search is the search primitive for your agents. Create an instance, upload your data, and search it. Comes with hybrid retrieval with vector and BM25.
0:24

We shipped big changes for Cloudflare Developers AI Search! Every agent needs search and it shouldn't take a week to set up. AI Search is the search primitive for your agents. Create an instance, upload your data, and search it. Comes with hybrid retrieval with vector and BM25.

Anni Wang

12,975 views • 2 months ago

Introducing MagicPath 2.0. MagicPath is now a multiplayer canvas for humans and agents like Codex or Claude Code to design and build with AI. Use your codebase, grab data from anywhere, and see the agents work in real time as a team while building fully functional prototypes.
1:29

Introducing MagicPath 2.0. MagicPath is now a multiplayer canvas for humans and agents like Codex or Claude Code to design and build with AI. Use your codebase, grab data from anywhere, and see the agents work in real time as a team while building fully functional prototypes.

Pietro Schirano

285,941 views • 1 month ago

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.
3:38

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,571 views • 1 year ago

Firecrawl now integrates directly into n8n.io Cloud - Search the web & get clean, structured results - Scrape pages into markdown, JSON & structured data - Interact with pages using AI prompts or code Get 100K free credits for your AI workflows when you quick connect on n8n!
0:30

Firecrawl now integrates directly into n8n.io Cloud - Search the web & get clean, structured results - Scrape pages into markdown, JSON & structured data - Interact with pages using AI prompts or code Get 100K free credits for your AI workflows when you quick connect on n8n!

Firecrawl

15,314 views • 3 months ago

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.
1:21

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 views • 9 months ago

💡Instead of moving data to AI, why not bring AI to your data? Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, explains how embedding LLMs into databases, and processing and managing multimodal data with platforms, is transforming how enterprises build intelligent apps. It’s a smarter, faster, and more scalable way to unlock real-time insights.
0:52

💡Instead of moving data to AI, why not bring AI to your data? Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, explains how embedding LLMs into databases, and processing and managing multimodal data with platforms, is transforming how enterprises build intelligent apps. It’s a smarter, faster, and more scalable way to unlock real-time insights.

Alibaba Group

84,669 views • 6 months ago

The next evolution of the OptimAI Core Node is coming, and it’s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: 🔍 What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems 💡 Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. ⚡ We’re not just building tools - we’re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. 💪 The more you contribute, the more you earn. Let’s BUIDL the future of AI together.
0:31

The next evolution of the OptimAI Core Node is coming, and it’s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: 🔍 What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems 💡 Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. ⚡ We’re not just building tools - we’re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. 💪 The more you contribute, the more you earn. Let’s BUIDL the future of AI together.

OptimAI Network

50,399 views • 9 months ago

I uploaded a PDF on economic recessions into Kuse AI and it instantly fit into my workflow. → I chatted with the file like it was a research assistant → Used the Magic Pen to focus on key insights → Turned messy data into a clean, interactive dashboard with Visualizer → Shared everything as a live webpage, ready to go This isn’t just AI. It’s how I move from raw info to real output, fast. #Kuse #chaosingenusout
1:05

I uploaded a PDF on economic recessions into Kuse AI and it instantly fit into my workflow. → I chatted with the file like it was a research assistant → Used the Magic Pen to focus on key insights → Turned messy data into a clean, interactive dashboard with Visualizer → Shared everything as a live webpage, ready to go This isn’t just AI. It’s how I move from raw info to real output, fast. #Kuse #chaosingenusout

SANI BULA

167,253 views • 10 months ago