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Bypass Framer's 1GB Bandwidth Limit 🤔 Deploy on Vercel or maybe even Cloudflare. Use Framer free forever with mix of Reverse Proxy + Caching :> Github Repo below ;)

Arjun Aditya

2,891 subscribers

22,271 次观看 • 4 个月前 •via X (Twitter)

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no money for chatgpt pro or claude pro? this is for you🫵🏽 someone open-sourced 800M tokens/month of free AI inference on github. – Free LLMs, 2.3k stars on github, MIT licensed – no subscription. no rate-limit panic. no vendor lock – 14 providers stacked: google, groq, cerebras, openrouter, github models + 9 more – one openai-compatible endpoint. drop-in for any SDK – smart router with auto-failover, sticky sessions, encrypted key storage – runs locally on your machine it's a fresh repo, 2300 stars on github already.

no money for chatgpt pro or claude pro? this is for you🫵🏽 someone open-sourced 800M tokens/month of free AI inference on github. – Free LLMs, 2.3k stars on github, MIT licensed – no subscription. no rate-limit panic. no vendor lock – 14 providers stacked: google, groq, cerebras, openrouter, github models + 9 more – one openai-compatible endpoint. drop-in for any SDK – smart router with auto-failover, sticky sessions, encrypted key storage – runs locally on your machine it's a fresh repo, 2300 stars on github already.

m0h

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We are super excited to make Restate Cloud publicly available today. Durable Execution, observability, and production-grade availability for workflows or AI agents. This release makes very smooth to work with serverless compute platforms like Cloudflare, Vercel, or Deno. And of course, your own infra on AWS, GCP, or Kubernetes. Signup is free and a few clicks with your GitHub account. A new built-in tutorial let's you run a first durable agent running in seconds. 👇

We are super excited to make Restate Cloud publicly available today. Durable Execution, observability, and production-grade availability for workflows or AI agents. This release makes very smooth to work with serverless compute platforms like Cloudflare, Vercel, or Deno. And of course, your own infra on AWS, GCP, or Kubernetes. Signup is free and a few clicks with your GitHub account. A new built-in tutorial let's you run a first durable agent running in seconds. 👇

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I just released a beta version of /dev/push. It's basically a (simpler) alternative to Vercel, Render, and the likes. You can log in with GitHub, pick a repo, configure your build and off you go. Whenever you push code to GitHub it will automatically deploy it for you. There's obviously more to it: environments, custom domains, environment variables, custom commands, teams... And I'm working on adding more: custom Docker containers, remote nodes, SQLite database, support for PHP, RoR... It's completely free and open source (MIT license). The online version is for now restricted as I test things up. Links below👇

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18,150 次观看 • 1 年前

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Riley Brown

368,431 次观看 • 1 年前

I vibe-coded an AI agent for making presentations 🤖🖼️ - accessible to everyone and open-source! You can upload both your context files, as well as a style template (a file that captures the style of the presentation you want to create). Then you launch a prompt and watch the agent one-shot your presentation. After the presentation is generated, you can edit the text inline, chat with the agent to add/modify/delete slides, and export to Powerpoint or PDF. Built with Claude Code, powered by Claude Agent SDK + LlamaParse. Hosted on Vercel/Render. To use it, you do need to specify your LlamaCloud API key and Anthropic API key (see below). App: Repo: Sign up to LlamaCloud:

I vibe-coded an AI agent for making presentations 🤖🖼️ - accessible to everyone and open-source! You can upload both your context files, as well as a style template (a file that captures the style of the presentation you want to create). Then you launch a prompt and watch the agent one-shot your presentation. After the presentation is generated, you can edit the text inline, chat with the agent to add/modify/delete slides, and export to Powerpoint or PDF. Built with Claude Code, powered by Claude Agent SDK + LlamaParse. Hosted on Vercel/Render. To use it, you do need to specify your LlamaCloud API key and Anthropic API key (see below). App: Repo: Sign up to LlamaCloud:

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21,073 次观看 • 6 个月前

I’m reverse-engineering the Google AI mouse pointer and making it Open Source! It sees your screen. You can freeform paint anything and ask AI to modify it. It understands the app or window you mean. It can click, type, edit, navigate, and even write + execute code. A tiny cursor becoming a real computer-use agent. Made with the help of Cua which is an AMAZING reference for computer use Sorry Google DeepMind but I had to do this heyclicky Started a revolution and we will be the ones to win Also credits to Omkar Satpute for the help Feel free to modify it , update it and make it your own, we gotta beat them at this. Link to the repo in the comments:

I’m reverse-engineering the Google AI mouse pointer and making it Open Source! It sees your screen. You can freeform paint anything and ask AI to modify it. It understands the app or window you mean. It can click, type, edit, navigate, and even write + execute code. A tiny cursor becoming a real computer-use agent. Made with the help of Cua which is an AMAZING reference for computer use Sorry Google DeepMind but I had to do this heyclicky Started a revolution and we will be the ones to win Also credits to Omkar Satpute for the help Feel free to modify it , update it and make it your own, we gotta beat them at this. Link to the repo in the comments:

Milind S

215,249 次观看 • 3 个月前

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Ronin

58,846 次观看 • 5 个月前

Built something with the goal of not leaving anyone behind. Now need some testers for this soft-launch. Check it out at Build whatever you can think of. Don't have any ideas? Just talk with your new team. Designed to get you away from the screens, not glued to them. Works great on mobile. Full real world capabilities. The free tier is perfect for people looking to get into AI and learn what its all about. The 'Empir3 Bridge' is for more advanced users and can power the whole empir3 team with your AI subscriptions... Grok, Claude, OpenAI, Google, or your local LLM. Everything runs local making it TOS friendly. Make them all work together in that same session. Fully opensource on GitHub You can use it with or without empir3. Full MCP, just point your AI at that repo and it will set it up. MIT license. New features weekly. *limited space and time until providers give me more channels.

Built something with the goal of not leaving anyone behind. Now need some testers for this soft-launch. Check it out at Build whatever you can think of. Don't have any ideas? Just talk with your new team. Designed to get you away from the screens, not glued to them. Works great on mobile. Full real world capabilities. The free tier is perfect for people looking to get into AI and learn what its all about. The 'Empir3 Bridge' is for more advanced users and can power the whole empir3 team with your AI subscriptions... Grok, Claude, OpenAI, Google, or your local LLM. Everything runs local making it TOS friendly. Make them all work together in that same session. Fully opensource on GitHub You can use it with or without empir3. Full MCP, just point your AI at that repo and it will set it up. MIT license. New features weekly. *limited space and time until providers give me more channels.

Z®

23,986 次观看 • 8 天前

ALRIGHT! Introducing SEEDTHREE! A Three.js webgpu procedural plant generator. I'm releasing this fully open source. I built this with Claude Fable and GPT-5.5 Codex + gptimage2 over just the past few days. The best part is: given the code, your agents can add new plants to it all you want! They just need an understanding of the code and an image generator capable of creating material maps. I highly encourage you to do PRs for any extra plants you add! I'll be adding more myself in future versions. The system is fully robust: it provides complete LOD and billboards/imposters generation for the plants and you can adjust the detail levels all you want for different platform targets like mobile and/or use lower LODs as your main for extreme optimization. As this is the first release alpha version, some bugs may have been missed, I encourage you to report any bugs. The repo includes all the assets for the scenery world too, even the ambient sounds of birds and wind! This is targeted at high end laptop and PC use, it requires baking generated geometry, so you won't be using this on a phone (I mean, feel free to try, but I doubt it'll run well, lol). This is fundamentally an asset generation tool for 3d dev. Have fun! Github repo link and live demo (you don't even have to download anything for basic non-editing/contributing use!) below ⤵️

ALRIGHT! Introducing SEEDTHREE! A Three.js webgpu procedural plant generator. I'm releasing this fully open source. I built this with Claude Fable and GPT-5.5 Codex + gptimage2 over just the past few days. The best part is: given the code, your agents can add new plants to it all you want! They just need an understanding of the code and an image generator capable of creating material maps. I highly encourage you to do PRs for any extra plants you add! I'll be adding more myself in future versions. The system is fully robust: it provides complete LOD and billboards/imposters generation for the plants and you can adjust the detail levels all you want for different platform targets like mobile and/or use lower LODs as your main for extreme optimization. As this is the first release alpha version, some bugs may have been missed, I encourage you to report any bugs. The repo includes all the assets for the scenery world too, even the ambient sounds of birds and wind! This is targeted at high end laptop and PC use, it requires baking generated geometry, so you won't be using this on a phone (I mean, feel free to try, but I doubt it'll run well, lol). This is fundamentally an asset generation tool for 3d dev. Have fun! Github repo link and live demo (you don't even have to download anything for basic non-editing/contributing use!) below ⤵️

Utah teapot 🫖

29,458 次观看 • 1 个月前

introducing OpenBench v1, an open framework for measuring AI performance and efficiency for your codebase and use case. Companies are realizing that you can't simply tokenmaxx, and are frantically looking for better ways to use and measure AI use and efficiency. One approach is evidenced by the rise in model routers: OpenRouter, Cloudflare, Databricks, Vercel, and now Ramp to name a few. But they'll also need the ability to evaluate how agents are performing in their actual use cases and codebase. A good example is DoorDash's recent evals on their codebase and prs. This will become even more important as companies explore different model + harness combinations. OpenBench will be built to this direction, focusing on the cross between correctness vs efficiency in both token use and latency. Starting off, OpenBench makes it easy for anyone to add to the task set, and run a variety of harness + models. The framework also makes it easy to add any custom harness variant, for example I've been testing codex variants with ablations against the stock codex harness. OpenBench will also have tooling to help with discovering/adding reliable tasks from your repo. Today I have integrated harnesses: codex, claude, cursor, devin, grok build, pi, and eval'ed them for different models like gpt 5.6-sol, GLM 5.2, Kimi K3, Grok 4.5, etc. measuring correctness %, token use (in/out/cache), and latency.

introducing OpenBench v1, an open framework for measuring AI performance and efficiency for your codebase and use case. Companies are realizing that you can't simply tokenmaxx, and are frantically looking for better ways to use and measure AI use and efficiency. One approach is evidenced by the rise in model routers: OpenRouter, Cloudflare, Databricks, Vercel, and now Ramp to name a few. But they'll also need the ability to evaluate how agents are performing in their actual use cases and codebase. A good example is DoorDash's recent evals on their codebase and prs. This will become even more important as companies explore different model + harness combinations. OpenBench will be built to this direction, focusing on the cross between correctness vs efficiency in both token use and latency. Starting off, OpenBench makes it easy for anyone to add to the task set, and run a variety of harness + models. The framework also makes it easy to add any custom harness variant, for example I've been testing codex variants with ablations against the stock codex harness. OpenBench will also have tooling to help with discovering/adding reliable tasks from your repo. Today I have integrated harnesses: codex, claude, cursor, devin, grok build, pi, and eval'ed them for different models like gpt 5.6-sol, GLM 5.2, Kimi K3, Grok 4.5, etc. measuring correctness %, token use (in/out/cache), and latency.

Matthew Lam

121,718 次观看 • 25 天前

The number one question I get in the Claude Code / Cowork Community: "how do I share my Cowork skills with my team?" Here's the problem. You build a great skill. You zip it up. You drop it in Slack. Your teammate downloads it, uploads it, and maybe it works. Maybe they upload it wrong. Maybe you update the skill next week and nobody gets the new version. You're now maintaining skills through chat messages and hoping for the best. That doesn't scale. I just put out a video breaking down the three methods I've tested for sharing skills and plugins across a team. From dead simple to fully synced. Method 1: Shared drive (Google Drive, SharePoint, etc). You put your skill files in a shared folder. Teammates download and upload them into Cowork. It works, but updates are manual and there's no version control. Method 2: Built-in sharing on Team and Enterprise plans. You can share any skill directly with a colleague or publish it to your org directory. When you update the skill, everyone gets the update automatically. This is the easiest path if you're on a paid plan. The catch: there's no approval workflow for org-wide sharing, so set a clear owner. Method 3: GitHub repo. This is what I use. Your entire Cowork workspace -- skills, plugins, claude.md, folder structure, project files -- lives in a private repo. Teammates clone it. When you push an update, they pull it. Everyone stays in sync. You get version history, access control, and a single source of truth. The GitHub method sounds technical, but it's really just two steps: clone the repo, point Cowork at the folder. I walk through the whole thing in the video, including how to use .gitignore to keep personal files (like your morning briefing) out of the shared repo. This works for Cowork, Claude Code, and Open Codex. The infrastructure is the same. Full video linked below. If you've found a different approach that works for your team, I want to hear about it. Comment or reply and let's figure out the best practices together.

The number one question I get in the Claude Code / Cowork Community: "how do I share my Cowork skills with my team?" Here's the problem. You build a great skill. You zip it up. You drop it in Slack. Your teammate downloads it, uploads it, and maybe it works. Maybe they upload it wrong. Maybe you update the skill next week and nobody gets the new version. You're now maintaining skills through chat messages and hoping for the best. That doesn't scale. I just put out a video breaking down the three methods I've tested for sharing skills and plugins across a team. From dead simple to fully synced. Method 1: Shared drive (Google Drive, SharePoint, etc). You put your skill files in a shared folder. Teammates download and upload them into Cowork. It works, but updates are manual and there's no version control. Method 2: Built-in sharing on Team and Enterprise plans. You can share any skill directly with a colleague or publish it to your org directory. When you update the skill, everyone gets the update automatically. This is the easiest path if you're on a paid plan. The catch: there's no approval workflow for org-wide sharing, so set a clear owner. Method 3: GitHub repo. This is what I use. Your entire Cowork workspace -- skills, plugins, claude.md, folder structure, project files -- lives in a private repo. Teammates clone it. When you push an update, they pull it. Everyone stays in sync. You get version history, access control, and a single source of truth. The GitHub method sounds technical, but it's really just two steps: clone the repo, point Cowork at the folder. I walk through the whole thing in the video, including how to use .gitignore to keep personal files (like your morning briefing) out of the shared repo. This works for Cowork, Claude Code, and Open Codex. The infrastructure is the same. Full video linked below. If you've found a different approach that works for your team, I want to hear about it. Comment or reply and let's figure out the best practices together.

JJ Englert

16,176 次观看 • 4 个月前

🚨 THIS 100% FREE GITHUB REPO JUST MADE EVERY AI NOTE-TAKING APP POINTLESS. Drop any source in article, PDF, YouTube transcript, or Journal entry. Claude reads it, links it to everything in your vault, and files it into a connected knowledge graph on your own machine. Most tools save your notes. This one connects them. Every source gets linked to everything you already know. Karpathy described the idea - 15 skills. Four vault methods. Works with Claude Code, Codex, and Gemini. Most people have years of knowledge buried in folders they open twice a year. This turns all of it into a second brain that works while you sleep. MY ARTICLE COVERS THE EXACT METHOD I BUILT TO DO THE SAME THING. Guide below!

🚨 THIS 100% FREE GITHUB REPO JUST MADE EVERY AI NOTE-TAKING APP POINTLESS. Drop any source in article, PDF, YouTube transcript, or Journal entry. Claude reads it, links it to everything in your vault, and files it into a connected knowledge graph on your own machine. Most tools save your notes. This one connects them. Every source gets linked to everything you already know. Karpathy described the idea - 15 skills. Four vault methods. Works with Claude Code, Codex, and Gemini. Most people have years of knowledge buried in folders they open twice a year. This turns all of it into a second brain that works while you sleep. MY ARTICLE COVERS THE EXACT METHOD I BUILT TO DO THE SAME THING. Guide below!

Kanika

38,795 次观看 • 11 天前

I built a mobile app to check Paddle revenue (because they don't have one): 👉 - Use your Paddle API key (read-only and scoped) - Live data with beautiful and useful graphs built with native Swift UI. - Multi-account supported, unified revenue metrics. - Data stay on device, no server (api requests are sent directly from your phone) - Home widgets - I made it free to download on App Store (once it's approved) - Buy the source code for $19 and customize it however you want (save 5hrs of prompting if you try to do it yourself). Some interesting facts about this side project: - I vibe coded with 100% claude code remotely on my Mac Mini (with my AI assistant setup) in less than 24 hours. - I have read 0 line of code in this project and never opened Xcode myself. - My AI assistant designed the app with GPT Image 2, built the app with Swift UI, test it on simulator (via screenshots), send the test build to TestFlight for me to test, and invited me to the app store connect account so I can test on my phone, then the AI submitted the app to App Store and currently waiting for approval. - For the website, I ask it to come up with a domain name, I bought it via manually and give it access via Cloudflare API, the AI design and create a static website with GitHub, test it with lighthouse CLI, deploy via GitHub pages, config the domain DNS, deploy the website. - Then I sign up an account with Polar payment, create an API key and ask the AI to setup a store, add payment, link with the account, and add the payment to the website. The entire process happened in the last 24 hours with me only talking to the AI via Telegram. This is such a fun side project not only to create an app that I wish exists, but also to push the limit of what I can use AI for, and so far I'm very impressed. I'll create so much more apps! It feels like I have unlocked a super power.

I built a mobile app to check Paddle revenue (because they don't have one): 👉 - Use your Paddle API key (read-only and scoped) - Live data with beautiful and useful graphs built with native Swift UI. - Multi-account supported, unified revenue metrics. - Data stay on device, no server (api requests are sent directly from your phone) - Home widgets - I made it free to download on App Store (once it's approved) - Buy the source code for $19 and customize it however you want (save 5hrs of prompting if you try to do it yourself). Some interesting facts about this side project: - I vibe coded with 100% claude code remotely on my Mac Mini (with my AI assistant setup) in less than 24 hours. - I have read 0 line of code in this project and never opened Xcode myself. - My AI assistant designed the app with GPT Image 2, built the app with Swift UI, test it on simulator (via screenshots), send the test build to TestFlight for me to test, and invited me to the app store connect account so I can test on my phone, then the AI submitted the app to App Store and currently waiting for approval. - For the website, I ask it to come up with a domain name, I bought it via manually and give it access via Cloudflare API, the AI design and create a static website with GitHub, test it with lighthouse CLI, deploy via GitHub pages, config the domain DNS, deploy the website. - Then I sign up an account with Polar payment, create an API key and ask the AI to setup a store, add payment, link with the account, and add the payment to the website. The entire process happened in the last 24 hours with me only talking to the AI via Telegram. This is such a fun side project not only to create an app that I wish exists, but also to push the limit of what I can use AI for, and so far I'm very impressed. I'll create so much more apps! It feels like I have unlocked a super power.

Tony Dinh

43,922 次观看 • 2 个月前

CLAUDE + THIS GITHUB IS FUCK*NG DANGEROUS. Threw in $10. This bot turned it into $33,000. I didn’t do anything just dropped this GitHub repo into Claude. This open source project is completely free (link below). Spent a couple of hours in Claude Code cleaning it up, understanding how it works, and making a few tweaks. Ran it. Thought it was just another scam, but decided to try anyway since it’s free. After two months of tweaking, I got it working. My bot made over $30,000. Here’s proof [ Now I just leave the logs open on my second monitor and watch it execute trade after trade. The key is in the timing. The bot waits until the last two minutes of every 5-minute BTC round. By that point, Bitcoin has already made most of its move, and the direction is usually pretty clearly defined. At that moment, it enters with the trend, buying contracts priced from $0.80 to $0.99. A few minutes later, if the move continues, the position gets liquidated at $1. The logic is strangely simple: → Wait until about 2 minutes are left before the round closes → Check that BTC has already moved $70–100 during this interval → Always operate with the move, never against it → Hedge only a small portion of the position if the market is too unbalanced (e.g., 95/5) It’s like buying a lottery ticket when the result is already practically announced. The code is public, and anyone can use it on their PC GitHub below 👇🏼

CLAUDE + THIS GITHUB IS FUCK*NG DANGEROUS. Threw in $10. This bot turned it into $33,000. I didn’t do anything just dropped this GitHub repo into Claude. This open source project is completely free (link below). Spent a couple of hours in Claude Code cleaning it up, understanding how it works, and making a few tweaks. Ran it. Thought it was just another scam, but decided to try anyway since it’s free. After two months of tweaking, I got it working. My bot made over $30,000. Here’s proof [ Now I just leave the logs open on my second monitor and watch it execute trade after trade. The key is in the timing. The bot waits until the last two minutes of every 5-minute BTC round. By that point, Bitcoin has already made most of its move, and the direction is usually pretty clearly defined. At that moment, it enters with the trend, buying contracts priced from $0.80 to $0.99. A few minutes later, if the move continues, the position gets liquidated at $1. The logic is strangely simple: → Wait until about 2 minutes are left before the round closes → Check that BTC has already moved $70–100 during this interval → Always operate with the move, never against it → Hedge only a small portion of the position if the market is too unbalanced (e.g., 95/5) It’s like buying a lottery ticket when the result is already practically announced. The code is public, and anyone can use it on their PC GitHub below 👇🏼

AdiiX

68,770 次观看 • 27 天前

Just received the first SMT PCB of the Raspberry Pi RTL-SDR/LoRa/GPS/RTC Hat from JLCPCB, and everything works like a charm. I even implemented the GPS PPS indicator as Jeff Geerling suggested. I can think of some fun use cases with it, like using an RTL-SDR to listen in on emergency broadcasts, converting the audio to text, and broadcasting it over LoRa to a public Meshtastic or Meshcore channel. If you have better ideas, drop a comment and let me know! Maybe a perfect hat for the #DragonOs when using with Raspberry Pi. Dustin (BusySignal-KE2EFX) cemaxecuter If you want to be notified when we go live or join our beta testing program, just fill out the form below.

Just received the first SMT PCB of the Raspberry Pi RTL-SDR/LoRa/GPS/RTC Hat from JLCPCB, and everything works like a charm. I even implemented the GPS PPS indicator as Jeff Geerling suggested. I can think of some fun use cases with it, like using an RTL-SDR to listen in on emergency broadcasts, converting the audio to text, and broadcasting it over LoRa to a public Meshtastic or Meshcore channel. If you have better ideas, drop a comment and let me know! Maybe a perfect hat for the #DragonOs when using with Raspberry Pi. Dustin (BusySignal-KE2EFX) cemaxecuter If you want to be notified when we go live or join our beta testing program, just fill out the form below.

Vileer

63,794 次观看 • 4 个月前

Security Bulletin: WebKit's handling of passkeys can cause iCloud Private Relay to leak your device's real IP address. The same behaviour affects all iOS browsers that rely on proxy connections to hide the device's IP, including Psylo, Onion Browser, and other proxy or Tor browsers on iOS. The IP address is exposed as soon as you open a website that supports passkeys, even if you never try to sign in with one. For example, simply opening facebook[.]com in Safari is enough to expose your real IP address to Facebook. We also found two more WebKit issues: • DNS prefetching bypasses the proxy tunnel and leaks DNS queries. • WebTransport ignores the established proxy connection and exposes the device's real IP address. These behaviours affect Safari and all proxy browsers on iOS, since Apple requires all iOS browsers to use WebKit. Note that VPNs are not affected by these issues, since they tunnel the device's entire network traffic at the system level. We've updated Psylo to disable passkeys and WebTransport by default in all silos, and you can re-enable them per silo. We also disabled DNS prefetching entirely. Please update to version 1.3.1. We built a website that detects these leaks. The video below shows them in action. The full blog post is linked in the replies.

Security Bulletin: WebKit's handling of passkeys can cause iCloud Private Relay to leak your device's real IP address. The same behaviour affects all iOS browsers that rely on proxy connections to hide the device's IP, including Psylo, Onion Browser, and other proxy or Tor browsers on iOS. The IP address is exposed as soon as you open a website that supports passkeys, even if you never try to sign in with one. For example, simply opening facebook[.]com in Safari is enough to expose your real IP address to Facebook. We also found two more WebKit issues: • DNS prefetching bypasses the proxy tunnel and leaks DNS queries. • WebTransport ignores the established proxy connection and exposes the device's real IP address. These behaviours affect Safari and all proxy browsers on iOS, since Apple requires all iOS browsers to use WebKit. Note that VPNs are not affected by these issues, since they tunnel the device's entire network traffic at the system level. We've updated Psylo to disable passkeys and WebTransport by default in all silos, and you can re-enable them per silo. We also disabled DNS prefetching entirely. Please update to version 1.3.1. We built a website that detects these leaks. The video below shows them in action. The full blog post is linked in the replies.

Psylo: Privacy Browser & Proxy

55,577 次观看 • 11 天前