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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,... show more

Ram Maheshwari

4,458 subscribers

17,348 次观看 • 3 个月前 •via X (Twitter)

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5 条评论

Lezvix 的头像

Lezvix3 个月前

How is this better than 0xGF/boneyard?

Bla Blu 的头像

Bla Blu3 个月前

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.

Ben 的头像

Ben3 个月前

Stop building skeleton loaders. There, fixed it.

Bilko - BG Labs 的头像

Bilko - BG Labs3 个月前

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.

Aejkatappaja 的头像

Aejkatappaja3 个月前

Thanks for sharing!

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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 💎

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 💎

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15,692 次观看 • 3 个月前

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152,108 次观看 • 6 个月前

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Jerry Liu

259,026 次观看 • 2 年前

-> 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

-> 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 次观看 • 3 个月前

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47,548 次观看 • 1 个月前

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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 🦞

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128,041 次观看 • 6 个月前

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Akshay 🚀

65,672 次观看 • 10 个月前

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

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 次观看 • 2 个月前

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

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 次观看 • 5 个月前

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.

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 次观看 • 4 个月前