Загрузка видео...

Не удалось загрузить видео

На главную

Bruh... Stop building skeleton loaders manually 🦴 This open-source web component lets you automatically generate shimmer loading skeletons from your real UI with multiple customization options. → no separate skeleton components → generates loaders from actual DOM layout → customizable shimmer effects & styles → works with React, Vue,...

rammcodes's profile picture

Ram Maheshwari

4,458 subscribers

17,348 просмотров • 3 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 5

Фото профиля Lezvix
Lezvix3 месяцев назад

How is this better than 0xGF/boneyard?

Фото профиля Bla Blu
Bla Blu3 месяцев назад

Claude/any coding agent does it for anything. Why do you need a component library in this day and age when anything can be built following the overall design guidelines.

Фото профиля Ben
Ben3 месяцев назад

Stop building skeleton loaders. There, fixed it.

Фото профиля Bilko - BG Labs
Bilko - BG Labs3 месяцев назад

every hand-built skeleton i've made has drifted from the actual layout within two refactors. reading shape from the real dom fixes it at the source.

Фото профиля Aejkatappaja
Aejkatappaja3 месяцев назад

Thanks for sharing!

Похожие видео

Brooooooooooooo... this feels like a dream come true for every developer & designer. 🦴 Now you don't have to manually design skeleton screens for your UI. Boneyard automatically extracts the layout from your real UI and generates pixel-perfect skeleton loading screens from it. Just wrap your UI components with Boneyard, run the build, and it creates the skeletons for you :) Follow me for more amazing AI, Coding & Web Dev insights 💎
0:32

Brooooooooooooo... this feels like a dream come true for every developer & designer. 🦴 Now you don't have to manually design skeleton screens for your UI. Boneyard automatically extracts the layout from your real UI and generates pixel-perfect skeleton loading screens from it. Just wrap your UI components with Boneyard, run the build, and it creates the skeletons for you :) Follow me for more amazing AI, Coding & Web Dev insights 💎

Ram Maheshwari

53,712 просмотров • 29 дней назад

Bruh… this carousel system is so sleek 🎠 Blossom is an open-source carousel system with tons of beautiful patterns and examples. It also comes with AI agent skills and supports React, Vue, Svelte, and Web Components. Perfect if you're looking for modern, highly customizable carousels without the usual bloat :) Source 🔗: github(DOT)com/jespervos/blossom-carousel Follow Ram Maheshwari for more 💎 #html #ai #javascript #coding #webdevelopment #programming
0:42

Bruh… this carousel system is so sleek 🎠 Blossom is an open-source carousel system with tons of beautiful patterns and examples. It also comes with AI agent skills and supports React, Vue, Svelte, and Web Components. Perfect if you're looking for modern, highly customizable carousels without the usual bloat :) Source 🔗: github(DOT)com/jespervos/blossom-carousel Follow Ram Maheshwari for more 💎 #html #ai #javascript #coding #webdevelopment #programming

Ram Maheshwari

24,109 просмотров • 3 месяцев назад

Bruh… this File-Tree component is ridiculously polished 🌳 Trees is an open-source file tree system for building IDE-style file explorers with search, drag-and-drop, file selection, Git status indicators, and more. Perfect for code editors, developer tools, file managers, and apps that need a modern file explorer UI :) Follow Ram Maheshwari for more 💎 #html #ai #javascript #coding #webdevelopment #programming
0:34

Bruh… this File-Tree component is ridiculously polished 🌳 Trees is an open-source file tree system for building IDE-style file explorers with search, drag-and-drop, file selection, Git status indicators, and more. Perfect for code editors, developer tools, file managers, and apps that need a modern file explorer UI :) Follow Ram Maheshwari for more 💎 #html #ai #javascript #coding #webdevelopment #programming

Ram Maheshwari

15,692 просмотров • 3 месяцев назад

I wish I found this sooner. 🫡 This open-source collection of Agentic UI Skills teaches AI coding agents how to build interfaces that feel polished, not just functional. You'll find specialized skills for things like: → Better User Interface → Better Typography → Better Colors → Better Layout → Better Accessibility ....& more Instead of relying on generic UI patterns, your AI agent can load the right design-engineering skill for the task at hand. If you're building modern frontends with AI coding agents, this is definitely worth bookmarking :) Source 🔗: github(DOT)com/jakubkrehel/skills Follow me for more amazing AI, Coding & Web Dev insights 💎
0:23

I wish I found this sooner. 🫡 This open-source collection of Agentic UI Skills teaches AI coding agents how to build interfaces that feel polished, not just functional. You'll find specialized skills for things like: → Better User Interface → Better Typography → Better Colors → Better Layout → Better Accessibility ....& more Instead of relying on generic UI patterns, your AI agent can load the right design-engineering skill for the task at hand. If you're building modern frontends with AI coding agents, this is definitely worth bookmarking :) Source 🔗: github(DOT)com/jakubkrehel/skills Follow me for more amazing AI, Coding & Web Dev insights 💎

Ram Maheshwari

14,955 просмотров • 1 месяц назад

Bruh... someone recreated the UI of Claude Code, Codex & Grok as reusable ShadCN components. 🤯 This open-source library lets you drop beautifully recreated AI interface components straight into your own apps or CLI projects. You'll find components for: → prompts & chat messages → tool calls → code diffs → permission dialogs → todo lists → slash commands → and much more... Perfect if you're building AI apps, terminal UIs (TUIs), or CLI-based developer tools and don't want to build everything from scratch :) Source 🔗: github(DOT)com/theswerd/brainless Follow me for more amazing AI, Coding & Web Dev insights 💎
0:39

Bruh... someone recreated the UI of Claude Code, Codex & Grok as reusable ShadCN components. 🤯 This open-source library lets you drop beautifully recreated AI interface components straight into your own apps or CLI projects. You'll find components for: → prompts & chat messages → tool calls → code diffs → permission dialogs → todo lists → slash commands → and much more... Perfect if you're building AI apps, terminal UIs (TUIs), or CLI-based developer tools and don't want to build everything from scratch :) Source 🔗: github(DOT)com/theswerd/brainless Follow me for more amazing AI, Coding & Web Dev insights 💎

Ram Maheshwari

55,857 просмотров • 1 месяц назад

Broooooooooo.... this is sooo damn coooool to add Glass Effects in any UI. 😍 This free tool lets you generate stunning glassmorphism effects with plenty of customization options. It even supports liquid-glass and neumorphic designs. Once you're done, simply copy the code and start using it in your vibe coded or custom coded projects :) Follow me for more amazing AI, Coding & Web Dev insights 💎
0:27

Broooooooooo.... this is sooo damn coooool to add Glass Effects in any UI. 😍 This free tool lets you generate stunning glassmorphism effects with plenty of customization options. It even supports liquid-glass and neumorphic designs. Once you're done, simply copy the code and start using it in your vibe coded or custom coded projects :) Follow me for more amazing AI, Coding & Web Dev insights 💎

Ram Maheshwari

31,736 просмотров • 1 месяц назад

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!
0:53

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Akshay 🚀

87,048 просмотров • 4 месяцев назад

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.
0:23

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Avi Chawla

460,618 просмотров • 3 месяцев назад

My New Market Dashboard Inspired by Jeff Jeff Sun, CFTe and Clement Ang , I originally used Excel to design my own market dashboard for tracking sectors, industries, and country ETFs. However, with recent advancements in AI-assisted coding, I’ve found that an HTML-based version is not only more aesthetic but also far more powerful. It allows for advanced features like calculating ATR multiple extensions from the 50D SMA and Volatility Adjusted Relative Strength. I’ve also integrated TradingView charts and a section for tracking macro events directly on the page. I’m now sharing this dashboard with FinTwit community. If you aren’t interested in the code, you can simply view the static page after 16:30 ET, as it is automatically updated via GitHub. If you’d like to customize it, the source code is open-source and available for you to modify. Thanks for your support! Features: • Indices, sectors, industries, country ETFs • ATR%, ATR multiple extension from 50SMA, 1M-VARS (volatility-adjusted relative strength) • Macro events calendar • TradingView charts • Auto-refresh Mon–Fri 16:30 ET via GitHub Actions • Data: Yahoo Finance + investpy Live site (no setup): Source code:
0:41

My New Market Dashboard Inspired by Jeff Jeff Sun, CFTe and Clement Ang , I originally used Excel to design my own market dashboard for tracking sectors, industries, and country ETFs. However, with recent advancements in AI-assisted coding, I’ve found that an HTML-based version is not only more aesthetic but also far more powerful. It allows for advanced features like calculating ATR multiple extensions from the 50D SMA and Volatility Adjusted Relative Strength. I’ve also integrated TradingView charts and a section for tracking macro events directly on the page. I’m now sharing this dashboard with FinTwit community. If you aren’t interested in the code, you can simply view the static page after 16:30 ET, as it is automatically updated via GitHub. If you’d like to customize it, the source code is open-source and available for you to modify. Thanks for your support! Features: • Indices, sectors, industries, country ETFs • ATR%, ATR multiple extension from 50SMA, 1M-VARS (volatility-adjusted relative strength) • Macro events calendar • TradingView charts • Auto-refresh Mon–Fri 16:30 ET via GitHub Actions • Data: Yahoo Finance + investpy Live site (no setup): Source code:

Will Hu

152,108 просмотров • 6 месяцев назад

Today we're excited to launch `create-llama` - a single CLI command that allows you to scaffold a full stack LLM app over your data, powered by LlamaIndex 🦙 🔥 It’s the equivalent of `create-react-app` for AI engineers. Choose from 3 different backends: ✅ FastAPI (w/ LlamaIndex 🦙 Python) ✅ ExpressJS (w/ LlamaIndex 🦙 TS) ✅ Next.js (w/ LlamaIndex 🦙 TS) The frontend is a Next.js template using initial chat components from the Vercel AI SDK - with full streaming support, + shadcn UI or vanilla HTML/CSS for styling. This is a full-stack starting point, from which you can customize any component to build the LLM app of your liking, whether it’s simple extensions (change data source) or complete revamps (upgraded chat UX)! Next steps 🔮: - We’re going to be coming out with more examples in the next few weeks showing what you can build. - We’re going to be upgrading `create-llama` with a variety of different templates Check out the video (also attached) to see how it works 🎥: Repo directory: Full blog post detailing the usage here:
3:22

Today we're excited to launch `create-llama` - a single CLI command that allows you to scaffold a full stack LLM app over your data, powered by LlamaIndex 🦙 🔥 It’s the equivalent of `create-react-app` for AI engineers. Choose from 3 different backends: ✅ FastAPI (w/ LlamaIndex 🦙 Python) ✅ ExpressJS (w/ LlamaIndex 🦙 TS) ✅ Next.js (w/ LlamaIndex 🦙 TS) The frontend is a Next.js template using initial chat components from the Vercel AI SDK - with full streaming support, + shadcn UI or vanilla HTML/CSS for styling. This is a full-stack starting point, from which you can customize any component to build the LLM app of your liking, whether it’s simple extensions (change data source) or complete revamps (upgraded chat UX)! Next steps 🔮: - We’re going to be coming out with more examples in the next few weeks showing what you can build. - We’re going to be upgrading `create-llama` with a variety of different templates Check out the video (also attached) to see how it works 🎥: Repo directory: Full blog post detailing the usage here:

Jerry Liu

259,026 просмотров • 2 лет назад

-> someone cloned claude -> design interface and -> made it completely free -> it's work on YouTube -> and also suitable for kids -> it’s called open design -> and it’s live on github -> same clean split-screen ui -> you get in claude artifacts -> prompt on the left, live -> design/code preview on -> the right, type what you -> want to build and it -> generates the ui in real -> time, but here’s the twist -> you pick the ai model -> not locked into one -> company, want to use -> gemini, mistral, llama, -> deepseek any model -> with an api work -> if you’re running local -> models with ollama -> that works too -> no subscription walls -> the big difference -> vs claude artifacts -> works with any free -> ai model you’re not -> paying $20/mo just to -> design, use free tiers -> local models, or whatever -> you already have access to -> fully local, your prompts -> and code never leave -> your machine unless -> you want them to -> no data training -> no cloud storage -> privacy by default -> no usage limits -> claude cuts you off -> after a few designs -> here you can generate, -> iterate, break things -> and rebuild all day -> the only limit is your -> don’t like how a button -> works, change it -> want to add your own -> components, go ahead -> you own the tool -> so if you’ve been gatekept -> by paywalls or worried -> about sensitive prompts -> going to some company’s -> servers, this fixes that. -> same workflow, more -> control, zero monthly fee
0:20

-> someone cloned claude -> design interface and -> made it completely free -> it's work on YouTube -> and also suitable for kids -> it’s called open design -> and it’s live on github -> same clean split-screen ui -> you get in claude artifacts -> prompt on the left, live -> design/code preview on -> the right, type what you -> want to build and it -> generates the ui in real -> time, but here’s the twist -> you pick the ai model -> not locked into one -> company, want to use -> gemini, mistral, llama, -> deepseek any model -> with an api work -> if you’re running local -> models with ollama -> that works too -> no subscription walls -> the big difference -> vs claude artifacts -> works with any free -> ai model you’re not -> paying $20/mo just to -> design, use free tiers -> local models, or whatever -> you already have access to -> fully local, your prompts -> and code never leave -> your machine unless -> you want them to -> no data training -> no cloud storage -> privacy by default -> no usage limits -> claude cuts you off -> after a few designs -> here you can generate, -> iterate, break things -> and rebuild all day -> the only limit is your -> don’t like how a button -> works, change it -> want to add your own -> components, go ahead -> you own the tool -> so if you’ve been gatekept -> by paywalls or worried -> about sensitive prompts -> going to some company’s -> servers, this fixes that. -> same workflow, more -> control, zero monthly fee

BeingInvested

12,134 просмотров • 3 месяцев назад

10 GitHub repos with 560k+ ⭐ combined stars that could save vibe coders $15,000+/year in SaaS bills 1. shadcn/ui ⭐121k - copy-paste components, not a package. What every AI-generated frontend is actually built on now. 2. supabase ⭐108k - Firebase alternative that's actually free to start. Auth, DB, storage in one Claude Code prompt. 3.open-design ⭐84.5k - open-source Claude Design alternative. Your coding agent becomes the design engine. 4. awesome-ai-agents ⭐29k - every agent framework and no-code builder in one list, ranked by what people actually ship. 5. awesome-generative-ai-apps ⭐3k - 50+ open-source AI apps you can clone, deploy, and monetize instead of paying $30-50/mo for the SaaS version. 6. medusa ⭐35k - full ecommerce backend, open source. Skip Shopify Plus fees entirely on your next vibe-coded store. 7. appwrite ⭐57k - complete backend-as-a-service, self-hosted. Auth, DB, functions, storage, one prompt away from Firebase money. 8. chatwoot ⭐35k - customer support platform, self-hosted. Replaces Intercom/Zendesk seats running $100+/agent/month. 9. nocodb ⭐64k - turns any database into an Airtable-style interface. 10. activepieces ⭐23k - open-source Zapier alternative built for AI workflows. Automate without the per-task pricing. Save this before you pay for another tool this repo already replaces for free 👇
1:03

10 GitHub repos with 560k+ ⭐ combined stars that could save vibe coders $15,000+/year in SaaS bills 1. shadcn/ui ⭐121k - copy-paste components, not a package. What every AI-generated frontend is actually built on now. 2. supabase ⭐108k - Firebase alternative that's actually free to start. Auth, DB, storage in one Claude Code prompt. 3.open-design ⭐84.5k - open-source Claude Design alternative. Your coding agent becomes the design engine. 4. awesome-ai-agents ⭐29k - every agent framework and no-code builder in one list, ranked by what people actually ship. 5. awesome-generative-ai-apps ⭐3k - 50+ open-source AI apps you can clone, deploy, and monetize instead of paying $30-50/mo for the SaaS version. 6. medusa ⭐35k - full ecommerce backend, open source. Skip Shopify Plus fees entirely on your next vibe-coded store. 7. appwrite ⭐57k - complete backend-as-a-service, self-hosted. Auth, DB, functions, storage, one prompt away from Firebase money. 8. chatwoot ⭐35k - customer support platform, self-hosted. Replaces Intercom/Zendesk seats running $100+/agent/month. 9. nocodb ⭐64k - turns any database into an Airtable-style interface. 10. activepieces ⭐23k - open-source Zapier alternative built for AI workflows. Automate without the per-task pricing. Save this before you pay for another tool this repo already replaces for free 👇

unicode

47,548 просмотров • 1 месяц назад

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞
3:53

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞

Brandon M. Crenshaw

128,041 просмотров • 6 месяцев назад

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 просмотров • 10 месяцев назад

GeoLibre v1.5.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release lands 90+ merged pull requests and resolves 90+ issues, adding a dashboard of chart widgets, customizable UI profiles, a saved library of web services, and an in-browser Whitebox raster engine. What's new in v1.5.0 - Dashboard panel: Build a collapsible panel of chart widgets (histogram, scatter, bar, line, box) next to the map. - Customizable UI profiles: Tailor the menus and filter the data sources you see, so the workspace matches your workflow. - Saved service library: Save and reuse your favorite web-service layers (XYZ, WMS, WFS) instead of re-entering URLs. - Whitebox in the browser: Run Whitebox raster tools fully client-side through a WASM runtime, no Python sidecar required. - View menu and viewport history: Step backward and forward through your recent map views from a new View menu. - A more beautiful globe: Add a spinning globe, customize the atmosphere halo and deep-space colors, and reset pitch and bearing with a rotation indicator. - More basemaps: New Protomaps basemaps and support for stacking multiple raster basemaps. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python
1:18

GeoLibre v1.5.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release lands 90+ merged pull requests and resolves 90+ issues, adding a dashboard of chart widgets, customizable UI profiles, a saved library of web services, and an in-browser Whitebox raster engine. What's new in v1.5.0 - Dashboard panel: Build a collapsible panel of chart widgets (histogram, scatter, bar, line, box) next to the map. - Customizable UI profiles: Tailor the menus and filter the data sources you see, so the workspace matches your workflow. - Saved service library: Save and reuse your favorite web-service layers (XYZ, WMS, WFS) instead of re-entering URLs. - Whitebox in the browser: Run Whitebox raster tools fully client-side through a WASM runtime, no Python sidecar required. - View menu and viewport history: Step backward and forward through your recent map views from a new View menu. - A more beautiful globe: Add a spinning globe, customize the atmosphere halo and deep-space colors, and reset pitch and bearing with a rotation indicator. - More basemaps: New Protomaps basemaps and support for stacking multiple raster basemaps. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

Qiusheng Wu

41,782 просмотров • 2 месяцев назад

𝐘𝐨𝐮𝐫 𝐏𝐨𝐥𝐲𝐦𝐚𝐫𝐤𝐞𝐭 𝐏𝐧𝐋 𝐢𝐬 𝐛𝐚𝐝 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐲𝐨𝐮 𝐝𝐨𝐧'𝐭 𝐡𝐚𝐯𝐞 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐭𝐨𝐨𝐥𝐬. 𝐇𝐞𝐫𝐞'𝐬 𝐩𝐫𝐨𝐨𝐟. Introducing PolyTech – a Telegram trading bot for Polymarket that lets you buy/sell instantly, copy profitable wallets, and manage your portfolio without ever leaving Telegram. --- • Why PolyTech? Speed + automation + intelligent copy trading = better PnL. --- • 📊 Features Browse Markets Search, filter, and discover Polymarket opportunities directly from Telegram. • Instant Buy & Sell Execute orders in seconds. No web UI. No delays. Never miss a move. • Copy Trading Auto mirror top profitable wallets in real time. Let the best traders work for you. --- • ⚙️ How It Works • Buy & Sell – Instantly When markets move, you move faster. Pure speed from Telegram. • Copy Top Traders – Automatically · Auto mirror profitable wallets · Customizable trade limits · Real time position sync • Generate PnL Cards Create beautiful, shareable cards with your trades, profits, and performance. Flex on your community. --- • FAQ ~ Do I control my funds? Yes. Your wallet stays yours. Export anytime. ~ Is there a fee? Yes, a small fee per transaction to keep the bot fast and reliable. --- Get Started in 10 Seconds 1. Open PolyTech on Telegram → type /start ( 2. Follow PolyTech & Maestro 𓃵 3. Auto-generated wallet ready 4. Deposit funds → start trading or copy winning wallets instantly
0:34

𝐘𝐨𝐮𝐫 𝐏𝐨𝐥𝐲𝐦𝐚𝐫𝐤𝐞𝐭 𝐏𝐧𝐋 𝐢𝐬 𝐛𝐚𝐝 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐲𝐨𝐮 𝐝𝐨𝐧'𝐭 𝐡𝐚𝐯𝐞 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐭𝐨𝐨𝐥𝐬. 𝐇𝐞𝐫𝐞'𝐬 𝐩𝐫𝐨𝐨𝐟. Introducing PolyTech – a Telegram trading bot for Polymarket that lets you buy/sell instantly, copy profitable wallets, and manage your portfolio without ever leaving Telegram. --- • Why PolyTech? Speed + automation + intelligent copy trading = better PnL. --- • 📊 Features Browse Markets Search, filter, and discover Polymarket opportunities directly from Telegram. • Instant Buy & Sell Execute orders in seconds. No web UI. No delays. Never miss a move. • Copy Trading Auto mirror top profitable wallets in real time. Let the best traders work for you. --- • ⚙️ How It Works • Buy & Sell – Instantly When markets move, you move faster. Pure speed from Telegram. • Copy Top Traders – Automatically · Auto mirror profitable wallets · Customizable trade limits · Real time position sync • Generate PnL Cards Create beautiful, shareable cards with your trades, profits, and performance. Flex on your community. --- • FAQ ~ Do I control my funds? Yes. Your wallet stays yours. Export anytime. ~ Is there a fee? Yes, a small fee per transaction to keep the bot fast and reliable. --- Get Started in 10 Seconds 1. Open PolyTech on Telegram → type /start ( 2. Follow PolyTech & Maestro 𓃵 3. Auto-generated wallet ready 4. Deposit funds → start trading or copy winning wallets instantly

Maestro 𓃵

10,953 просмотров • 5 месяцев назад

HERMES JUST GOT A CHATGPT INTERFACE AND IT IS COMPLETELY FREE. No terminal. No command line. No technical setup that takes half a day to figure out. Here is what just became possible. You can now run Hermes, DeepSeek, Ollama, and OpenClaw from a single clean chat interface. Switch between them in one click. Upload files directly. Attach knowledge bases and notes. Preview code without touching the terminal once. Use it on mobile. Make voice and video calls. All of it. Free. Open source. The setup took one conversation with Hermes itself. Pasted the GitHub link in. Hermes installed Open Web UI in Docker on its own. Connected the API server and gateway automatically. A clean ChatGPT-level interface running entirely on local hardware was live in minutes. No subscription. No data leaving your machine. No API bill at the end of the month. The people who set this up this weekend will have a local AI stack that rivals what most companies are paying $2,000 a month for in cloud infrastructure. The people who wait will keep paying for tools that send their data somewhere they cannot see. Both tools are free. Both are open source. The only thing between you and this setup is the next 30 minutes. Follow CyrilXBT for the exact config, setup steps, and local AI workflows I use to run a full stack without spending a dollar on cloud inference.
9:10

HERMES JUST GOT A CHATGPT INTERFACE AND IT IS COMPLETELY FREE. No terminal. No command line. No technical setup that takes half a day to figure out. Here is what just became possible. You can now run Hermes, DeepSeek, Ollama, and OpenClaw from a single clean chat interface. Switch between them in one click. Upload files directly. Attach knowledge bases and notes. Preview code without touching the terminal once. Use it on mobile. Make voice and video calls. All of it. Free. Open source. The setup took one conversation with Hermes itself. Pasted the GitHub link in. Hermes installed Open Web UI in Docker on its own. Connected the API server and gateway automatically. A clean ChatGPT-level interface running entirely on local hardware was live in minutes. No subscription. No data leaving your machine. No API bill at the end of the month. The people who set this up this weekend will have a local AI stack that rivals what most companies are paying $2,000 a month for in cloud infrastructure. The people who wait will keep paying for tools that send their data somewhere they cannot see. Both tools are free. Both are open source. The only thing between you and this setup is the next 30 minutes. Follow CyrilXBT for the exact config, setup steps, and local AI workflows I use to run a full stack without spending a dollar on cloud inference.

CyrilXBT

37,120 просмотров • 4 месяцев назад