Claude just turned an iPhone into a wireless mouse, trackpad, and Wii-style controller for Mac.
and it took just 10 minutes to write the code. 🤯
the project uses two apps: one runs in the Mac menu bar, the other runs on your iPhone.
here’s what makes it interesting:
→ point your iPhone at your screen and move the cursor by aiming.
→ tap to click and hold to drag.
→ lay your phone flat on a desk and use it as a trackpad.
→ cursor updates at up to 240 times per second.
→ connects through Bluetooth, with no servers or cloud connection.
→ roughly 2,800 lines of code.
→ a free Apple Developer account is enough to get started.
there’s even a built-in game to practice your aiming accuracy.
the entire project is free and open source.
it’s another example of what happens when you give Claude a creative coding challenge instead of a routine task.
and apparently, the AirPods case was already turned into a mouse. the Apple Watch might be next. 😂
check out the project and repository below ↓
you can reverse-engineer websites, apps, and videos with AI using these 20 free GitHub repositories.
instead of guessing how a product works, give your AI agent the tools to inspect it, map its structure, rebuild it, and compare the result.
the workflow:
link → Grok Bot → REA → Grok Build → verification
here are the 20 repositories:
reverse engineering & analysis
1. REA: 207 reverse-engineering tools in one MCP for AI agents.
https://t.co/MzpoZR1H9h
2. craft-anything: recreate websites, apps, and games, then compare your version with the original.
https://t.co/FxNmUT2W2z
3. Ghidra: the NSA’s free reverse-engineering suite.
https://t.co/w29WaQtamx
4. radare2: command-line reverse engineering your agent can automate.
https://t.co/pLwciQvJfB
5. GhidraMCP: connect AI agents directly to Ghidra.
https://t.co/slV9fxYphi
6. ida-pro-mcp: connect IDA Pro to your AI coding agent.
https://t.co/R3OghzIwD9
app & network inspection
7. jadx: turn Android applications into readable Java source code.
https://t.co/x0Bs79QpnB
8. Apktool: unpack, inspect, and rebuild Android APKs.
https://t.co/yVQTQeuyQi
9. mitmproxy: inspect and analyze application network traffic.
https://t.co/o8PwBSYpko
10. mitmproxy2swagger: convert captured traffic into API documentation.
https://t.co/YSmaqAThne
11. Frida: inspect and instrument running applications.
https://t.co/Fxpg34JiYA
12. HTTP Toolkit: intercept and debug HTTP/HTTPS traffic.
https://t.co/ekfttGFRNM
rebuilding websites & videos
13. screenshot-to-code: turn screenshots into React or HTML interfaces.
https://t.co/9MwJQ28RZC
14. rea-video: analyze videos shot by shot and create a recreation plan.
https://t.co/xs5YtlgTpl
15. Firecrawl: extract clean website data for AI agents.
https://t.co/4aVbyZpEei
16. Katana: crawl websites and map their pages and endpoints.
https://t.co/9ikIXQXqt2
17. Grok Build: use an AI coding agent to build your implementation.
https://t.co/8reAhxYIm7
testing & verification
18. Chrome DevTools MCP: let your agent inspect and debug websites in Chrome.
https://t.co/FlAT4JRXbY
19. Playwright MCP: automate browser interactions and test user flows.
https://t.co/xEQsda1CgD
20. BackstopJS: compare screenshots to identify visual differences.
https://t.co/Kz5P1LguRV
don’t install all 20 at once. start with these 3:
→ REA to inspect and understand the target.
→ Grok Build to create your implementation.
→ BackstopJS to compare screenshots and catch visual differences.
you now have a workflow for analyzing products, understanding their behavior, and building your own implementations.
use these tools on software you own or have permission to inspect.
20 repositories. one serious AI reverse-engineering workflow.
save this list, then read how to run 200+ cloud agents with 6 bots ↓
an uncensored version of Kimi K3.1 Pro just dropped, with refusals removed directly from the model weights.
and the specs are worth looking at.
it’s available on Silk Compute alongside the standard Kimi 3.1 Pro.
here’s what you get:
→ uncensored Kimi K3.1 Pro: $4.00 input / $20.00 output per 1M tokens.
→ standard Kimi 3.1 Pro: $0.50 input / $5.00 output per 1M tokens.
→ 1M-token context window.
→ up to 944K max output tokens.
→ supports text, images, and video.
→ zero data retention and encrypted processing, according to the provider.
cached input pricing:
* uncensored: $0.50 per 1M tokens.
* standard: $0.30 per 1M tokens.
monthly plans are also available.
the interesting part is that this gives researchers another option for testing model behavior without the usual refusal layer getting in the way.
use cases include:
* security research
* red-team testing
* evaluating model vulnerabilities
* controlled adversarial testing
if you’re experimenting with AI security, this is worth checking out.
try it here:
https://t.co/FK2gnblnmL
for the cyber frens, bookmark this one.
5 websites and repos every coder should bookmark.
if you build websites with AI or work on frontend projects, these resources can make your workflow much easier.
here’s what you get:
1. Shadcn UI Sounds: 700+ free sounds you can add to your UI projects.
https://t.co/5B3llORlI3
2. AI Mran Library: 814 free animated UI components for your next project.
https://t.co/kWSNid0t0v
3. MotionKit UI: 133 animated React components to make your interfaces feel more alive.
https://t.co/bHveSUNqBn
4. FrontAgent: an open-source AI coding agent built for frontend development.
https://t.co/vmL0VrEwxB
5. Design for B2B: 102 curated B2B website designs to inspire your next landing page.
https://t.co/tQ18rUsQwo
from sounds and animations to AI coding agents and design inspiration, there’s something useful here for almost every frontend builder.
bookmark these before your next project. 📌
Opus 5.5 can now recreate a complete Figma-style design workflow using 8 free GitHub repositories.
sketching. auto layout. colors. icons. vector editing. multiplayer. prototyping. exporting.
you don’t need to pay $16/month for a Figma seat to experiment with these capabilities.
here are the 8 repositories:
1. rough.js: create hand-drawn wireframes and sketch-style interfaces.
https://t.co/RpxIlui2mR
2. Yoga: power auto layout using Facebook’s cross-platform flexbox engine.
https://t.co/j0t18lsUol
3. chroma.js: generate color styles, manipulate colors, and check contrast from hex values.
https://t.co/bWxd1tFsb9
4. Lucide: access 1,600+ clean, open-source icons for your designs.
https://t.co/sjlkQMdVpa
5. paper.js: build vector graphics with path editing and boolean operations like union and subtract.
https://t.co/USQ8VYNB8u
6. Yjs: add real-time collaboration, shared editing, and multiplayer features.
https://t.co/teWbxSCHG9
7. GSAP: create interactive prototypes and smooth transitions with tools like Flip.
https://t.co/POFToZknD9
8. Satori: convert your designs into SVG and PNG exports.
https://t.co/zXDxAlbVlE
how to use them:
→ give Opus 5.5 access to the repositories and documentation.
→ ask it to build a design editor with a canvas, layers, and reusable components.
→ use Yoga for layout, Lucide for icons, and paper.js for vector operations.
→ add collaboration with Yjs and animations with GSAP.
→ export your finished frames with Satori.
you can combine these tools to build a surprisingly capable design workflow with AI.
bookmark these repositories before your next project. 📌
drop the PDF into Opus 5.5 and see what it builds.
read the full motion design guide in the article below ↓
if you build websites with AI, these 10 websites will save you hours of design work.
you don’t need to start every project from a blank screen.
these resources give you ready-made UI sections, website inspiration, animations, images, color palettes, and components you can use in your next build.
here’s what to bookmark:
1. supply sections
70+ ready-made website sections you can copy into your AI coding workflow.
https://t.co/QvvkLNGsVC
2. supply
192+ website design references for finding layouts and design ideas.
https://t.co/Gcvojc5dFk
3. supply videos
AI explainer video kits to help you create better product videos.
https://t.co/KEz5wc9cQg
4. curated design
a collection of beautiful websites for design inspiration.
https://t.co/3k4SL5vYMj
5. uiverse
free UI components you can use to build better interfaces.
https://t.co/SwIWQz3Ndo
6. refero
real-world UI patterns from websites and apps.
https://t.co/kYDhJG7OlV
7. fffuel
backgrounds, gradients, patterns, and SVG generators.
https://t.co/3X0JCFPX5H
8. motion
a powerful library for adding smooth animations to websites.
https://t.co/rnrK0I6rOv
9. lummi
beautiful AI-powered images for websites and creative projects.
https://t.co/KkIh38Uyyj
10. coolors
generate and explore color palettes for your next design.
https://t.co/0nq1x8BmGq
here’s how to use them together:
→ find a design reference on Curated or Refero.
→ grab ready-made sections from Supply.
→ customize components with Uiverse.
→ generate your colors with Coolors.
→ add visual assets with Lummi and FFFUEL.
→ bring the interface to life with Motion.
you can turn a blank project into a polished website much faster.
10 useful resources. save this list before your next build. 📌
these 19 GitHub repos let Opus 5.5 create 3D animations, motion graphics, voiceovers, and complete videos without After Effects.
send them to Opus 5.5 and turn your agent into a motion design studio.
here are the 19 repositories:
motion design & video creation
1. claude-motion: gives your agent creative direction and helps it generate motion graphics with sound.
https://t.co/mgZIFAWh9f
2. claude-motion-design: create motion design videos using code.
https://t.co/lOQFXVOyH7
3. Animate: plans the story before animating it in different styles.
https://t.co/wbCVYrRz8G
4. Motion Design Skill: teaches your agent animation timing and motion principles.
https://t.co/cmvo1P3Twl
5. Remotion: create real videos using React components.
https://t.co/WDhe2UHXTZ
6. Remotion Skills: gives your coding agent specialized knowledge for creating Remotion videos.
https://t.co/DSMFZ651bN
7. HyperFrames: build videos using HTML without a traditional editing timeline.
https://t.co/ksj1ACiE3Z
animation & 3D
8. GSAP: create smooth, professional web animations.
https://t.co/POFToZknD9
9. GSAP Skills: helps your agent work with GSAP animation workflows.
https://t.co/DLujMgSyhS
10. Three.js: bring interactive 3D graphics and scenes into your videos.
https://t.co/RRemMmHw9t
11. Blender: create 3D environments, characters, and complex animations.
https://t.co/GVrSWcBMB6
12. Blender MCP: control Blender through an AI assistant.
https://t.co/YZyzgDku7z
AI assets, voice & audio
13. ComfyUI: build AI image and video generation workflows.
https://t.co/55B0B0O4ZJ
14. Chatterbox: generate realistic AI voiceovers.
https://t.co/oLh1c0OAyT
15. faster-whisper: transcribe audio and generate text for captions.
https://t.co/bSMdu4P1sJ
design & quality control
16. Hallmark: improve AI-generated interfaces and eliminate generic design patterns.
https://t.co/vSyoN0o9Rk
17. Impeccable: give your designs a more polished and consistent finish.
https://t.co/ENAP0pTUnc
18. Chrome DevTools MCP: let your agent inspect and debug its browser output.
https://t.co/FlAT4JRXbY
final video rendering
19. FFmpeg: process, combine, encode, and export your final videos as MP4 files.
https://t.co/gGht2NpzCu
how to use them:
1. clone the repositories you need.
2. give Opus 5.5 access to the relevant documentation and skills.
3. ask it to plan your video production workflow.
4. let it combine animation, 3D scenes, graphics, voiceovers, and captions.
5. review the output and give feedback until you’re happy with the result.
the real advantage is that you can combine these tools into one AI-powered production pipeline instead of handling every stage manually.
19 repositories. one AI-powered motion design workflow.
save this list before you start your next video project. 🔖
full setup and workflow in the article below ↓
this free AI assistant runs directly on your device and helps you manage your files without paying for Claude or ChatGPT.
it’s called Hob.
it’s an open-source AI assistant designed to work locally on your computer and help you interact with and manage your files.
here’s why it’s worth checking out:
→ local-first: runs on your device rather than relying entirely on cloud-based AI services.
→ file management: helps you work with and organize files.
→ AI assistance: use natural language to interact with your files and get things done.
→ free and open source: explore the project without a paid subscription.
why i find it interesting:
not everyone wants another monthly AI subscription.
tools like Hob offer an alternative for people who want an AI assistant integrated into their local computer workflow.
if you’re looking for ways to use AI without constantly paying for subscriptions, this is worth exploring.
save this and add Hob to your list of useful AI tools. 🔖
61 companies were charging his bank card every month. Claude helped him discover where the money was going.
here’s what it uncovered:
→ 14 forgotten subscriptions: still charging him even after he deleted the apps.
→ 9 expired free trials: quietly turned into paid subscriptions.
→ hidden price increases: one streaming service raised its price 4 times in 12 months.
→ unwanted bank fees: $1,140 charged without him realizing.
→ total annual waste: nearly $7,980 going toward services he barely used or never opened.
and apparently, he’s not alone.
C+R Research found that people estimated they spent $86 monthly on subscriptions, while their actual average was $219.
that’s roughly $2,600 a year disappearing into recurring payments.
here’s how to audit your own spending with AI:
1. export your bank statements
download your last 12 months of transactions.
2. give Claude Code the data
remove sensitive account details before uploading, then ask it to analyze your transactions.
3. identify recurring charges
have it list every subscription, repeated payment, hidden fee, and price increase.
4. cancel and negotiate
cancel services you no longer use and contact the remaining providers to request better rates.
5. protect yourself from future charges
use virtual cards with spending limits for new free trials and subscriptions.
the interesting part?
you don’t need to manually inspect hundreds of transactions.
Claude can help organize the data, identify recurring patterns, and show you exactly where to investigate.
you might be losing money every month without even noticing.
run your own audit. your bank statements might surprise you.
save this before another subscription renews. 🔖
this creator found a YouTube channel with just 5 videos and over 1.6 million views.
instead of guessing what made it successful, he used Claude to reverse-engineer its entire content strategy.
and then turned those findings into a repeatable system for growing his own channel.
here’s how the workflow works:
→ analyze successful channels: use Claude to study channels already getting massive views.
→ find winning topics: identify the subjects attracting the most attention.
→ decode title formulas: break down how successful creators structure their video titles.
→ study thumbnails: identify visual patterns, designs, and elements that make people click.
→ generate fresh ideas: use the research to discover content opportunities worth exploring.
→ create content briefs: turn the findings into detailed briefs his team can use to produce videos.
the results?
he applied the same strategy to his own channel and claims it’s now generating nearly $5,000 per month.
but the real goldmine isn’t just the revenue.
it’s using Claude to study what’s already working, extract the patterns, and turn them into a content production system.
you don’t have to guess what to create next.
you can use AI to research successful channels and build your strategy around actual content patterns.
watch the breakdown and study the workflow.
save this if you’re serious about growing a YouTube channel with AI. 🔖
zero to first dollar, nothing skipped, nothing inflated. the numbers, the costs, and the one policy mistake that gets ai channels demonetized https://t.co/LX3lK5zVeW
you can run an entire AI engineering team with Grok and let multiple agents build, test, and review code while you focus on approving the work.
this workflow turns Grok into the team lead and deploys three AI agents to handle different parts of a project in parallel.
here’s how to set it up:
1. create an AGENTS.md file
give your agents the rules they must follow:
→ your tech stack.
→ project structure and important folders.
→ testing commands.
→ files they must never modify.
every agent reads these instructions before working.
2. connect your tools through MCP
give your agents access to tools like Linear, Sentry, and Grafana so they can retrieve project tasks, errors, and monitoring data.
3. use plan mode for big tasks
give Grok a complex task and let it create an implementation plan.
review the steps, identify weak points, and approve the plan before any edits begin.
4. deploy three subagents
Grok breaks the work into separate responsibilities:
→ research: investigates the problem and gathers context.
→ build: implements the required changes.
→ review: checks the implementation and identifies issues.
they can work in parallel with separate contexts.
5. give each agent its own Git worktree
this allows multiple agents to modify different working copies without interfering with your main branch.
6. supervise the agents
when an agent gets stuck or needs clarification, answer its question and let it continue.
7. run everything through CI
combine the worktrees into one diff, then use headless mode to run your automated checks.
once the checks pass, the changes are ready for a pull request.
the video demonstrates the workflow across three real engineering scenarios:
→ handling rate limits.
→ fixing a flaky test.
→ completing an authentication migration.
the interesting part is that you’re no longer doing every engineering task yourself.
you’re coordinating agents, reviewing their decisions, and approving the final changes.
save this if you’re serious about building with AI agents. 🔖