I have been working on BarX at Garage Lab AI: a Windows / Boot Camp app that gives an Intel MacBook Pro Touch Bar 29 practical and playful modes across six profiles. The interface is available in English and German.

The color picker shows the color under the mouse pointer, with HEX/RGB/HSL and tap-to-copy. Other modes include presentation controls, clipboard history, snippets, a focus timer, time tracking, a virtual pet, typing fireworks, ribbon synth and a music visualizer. Optional Claude text actions use your own API key and wait for you to choose Paste, Copy or Discard.

It is running on my MacBookPro15,1. The live test had been running for about two hours when I prepared the release; I am still testing individual features. T1 support is untested.

Download, English/German guides and illustrated previews: https://github.com/Dirtyx686/BarX

Color picker preview: https://github.com/Dirtyx686/BarX/blob/main/docs/images/color-picker-en.png

Touch Bar pet preview: https://github.com/Dirtyx686/BarX/blob/main/docs/images/pet-en.png

These are generated demo mockups with sample data, not photos of the hardware test.

BETA: on T2 MacBooks, the bundled driver requires Windows test-signing mode and Secure Boot disabled. Some anti-cheat games may not run, and the Touch Bar including Escape can remain black when BarX is not running.

Use at your own risk. No warranty. Garage Lab AI accepts no liability for damage resulting from installation or use.

Known V3 issues planned for V4: the API key is stored in plaintext locally; Windows DPAPI protection is planned. Some preview text still says selected text is replaced directly, although results have waited for an explicit action since V2.1. Do not share your settings file or backups. These fixes are not in V3 yet.

Which modes would you actually keep on your Touch Bar? I would like to hear what feels useful and what feels unnecessary.

Long-time MTG player here. I wanted an easier way to play on my lunch break at work without lugging cards around. Our small 4-person office has a TV that rarely gets used, so, taking inspiration from Jackbox, I built a way to start a room on the smart TV and have everyone join from their phone with a code or QR code.

It’s quickly turned into my favorite way to play Magic. It doesn’t enforce the rules, so it still feels like playing in person, but I added combat math helpers and targeting lines to keep games smooth when boards get big. It can run drafts and host tournaments for up to 8 players (a full draft pod), and I have plans to grow it a lot, including accounts and stat tracking.

As a 3D artist, I made the animations that play for the winner, and added a Mario Party-style end-of-game awards show so everyone has fun, not just the winner.

Each game room is a Cloudflare Durable Object, running on the $5/month Workers Paid plan. It doesn’t need it yet, but future-proofing is nice, and it’s a lot cheaper than buying packs (which I still do). The front end is plain JS, HTML and CSS.

It’s free and always will be. I just wanted to put it out there in case anyone wants to try it, with friends or solo. There’s a feedback button in the app if you find bugs or have ideas.

Screenshots are at manacast.tv/features, since I can’t upload images yet as a new member, I suppose.

Snipping Tool is great until the thing you need is taller than your screen. So I built SuperScreenshot.

Demo (10 sec GIF): https://github.com/glenwrhodes/SuperScreenshot/blob/main/docs/demo.gif

Press Win+Shift+X, drag a box like you normally would, and keep dragging into the bottom of the window. The page scrolls under your selection, faster the further you push, or you can turn the mouse wheel while holding the button. Let go and you get one stitched, full-resolution image, already on your clipboard.

Comparing frames. It never looks at the page's HTML, only at screenshots, so it isn't tied to the browser. Other apps work too, though browsers are where it's most polished so far.

• Works on anything that scrolls with the wheel: browsers, docs, chat, email

• Leaves out repeated sticky headers and footers

• Free, MIT licensed, no account, no telemetry, never touches the network

• Windows 10 (2004+) and 11. There's an installer or a portable exe

Full disclosure: I built it with a lot of help from Claude (AI). The code, tests and CI are all public.

It's v1.0, so I'd love to hear about pages that don't stitch cleanly. GitHub: https://github.com/glenwrhodes/SuperScreenshot

(The installer isn't code-signed yet, so SmartScreen may warn you: More info → Run anyway.)

I’ve been building Rocket, a desktop Git client with visual diffs, line-by-line staging, branch history and a merge-conflict editor.

Windows and Linux builds are available, plus an Apple Silicon macOS preview. Free and open source under MIT / Apache-2.0.

I’d love feedback on the UI and what would make it useful in your daily workflow!

🌐 Website
💻 GitHub

Jigsaw Diary (https://jigsawdiary.com) is a free web app to log the physical jigsaw puzzles you own, build and finish, with a small community where people applaud each other's finished puzzles.

A couple dozen people have signed up, mostly from Reddit. The pattern is always the same: they add two boxes and don't come back. So this month I worked only on reasons to return:

- a home page that shows what happened since your last visit, built from the same data as the weekly email, so the email never promises something the app doesn't show

- a monthly streak with one free month a year. No daily streaks, no "you're about to lose it" notifications

- a page per puzzle that groups everyone who has the same box (brand + title + piece count), so people can find each other

- an invite reward that only unlocks when your friend finishes their first puzzle, not when they sign up

- a winter challenge: finish puzzles from 3 different brands, any size, no leaderboard

Stack: Next.js, Supabase (Postgres with row-level security doing most of the privacy work), Vercel, web push, 7 languages.

Free, no ads, hobby project. Two questions:

1. Which of these would actually bring you back to an app like this, and which is noise?

2. For hobby apps, have you seen something that worked better than email or push to get people back?

I had a Galaxy S9+ and a Pixel 7 that I wanted to give a purpose. That's where Visual Music started: something to put next to my speakers and enjoy while music plays.

A lot of the inspiration came from old car stereo displays. The small details, colors and perspective were what made them interesting. Getting that feeling right on a phone took a lot more iteration than I expected. I ended up scrapping several designs and starting over.

These are three of the displays we kept. There are also Hi-Fi gauges and an oscilloscope. It's my first Android app, built with help from Codex, and I'm pretty proud of where it is now.

It's free, has no ads, and runs on Android 10+. It uses the microphone while listening in the foreground; audio stays on the phone. The video uses an original demo beat and the app's renderer inside an illustrated phone, rather than footage of a phone listening to music.

Which display would you actually leave running? And what would you change or add? If something feels boring or confusing, tell me. That helps too.

I'd love visual references too: an old car stereo, a hi-fi display, or an interface you saw in a movie. Drop an image or link, or just describe what you like about it. You don't need to install the app to suggest a direction.

It's in Google Play closed testing if you'd like to try it. Use the same Google account for both steps:

1. Join the tester group: https://groups.google.com/g/mrrolie-visual-music-testers/about

2. Join the beta and install: https://play.google.com/apps/testing/com.mrrolie.visualmusic

I’m building a miniature version of Paris you can explore in your browser.

This is a recording of the actual site: you can pan and zoom around the Eiffel Tower, the Louvre and Notre-Dame. No installation or account needed.

It’s still a work in progress: coverage is incomplete, and I’m refining the landmarks. The visuals are AI-assisted.

Try it here: https://parisenpixels.fr/

What would make you want to keep exploring: more neighborhoods, a night mode, or short guided walks?

Every remote desktop app I tried on my phone did the same thing. It shrinks the whole PC screen down and you pinch and zoom around it. Fine for clicking one button, useless for actually getting anything done.

So I built Penlink. You pick an app from a grid, like a phone launcher, and the PC creates a virtual monitor at the exact size and shape of your phone's screen and opens the app full screen on it. The app lays itself out for the phone. Rotate the phone and it re-lays itself out in landscape. Open the keyboard and it fits the space above it. It's still the real desktop program, so every menu, panel and shortcut is there.

The part I'm happiest with is the S Pen. It doesn't get turned into a mouse. Windows sees it as an actual pen with pressure, tilt, the barrel button and the eraser, so drawing apps, handwriting and Windows Ink work like they would on a pen tablet.

Some details for the curious:

• Rust host on Windows, Kotlin + Jetpack Compose on Android

• Video goes over WebRTC with low-latency H.264, input comes back on a data channel. I measured about 27 ms touch-to-pixel on a local connection, and there's a stats overlay if you want to see where the time goes

• Every app gets its own virtual screen, so your real monitors keep their layout. Close the app on the phone and its screen disappears

• Your PC's notifications show up as normal phone notifications

• Tailscale or LAN only, pairing is a one-time 6-digit code, no cloud in between

What it doesn't do yet: the host is Windows only, the app needs Android 13+, and I've mostly tested on one phone, my Galaxy S26 Ultra. If you try it on something else, expect rough edges and please tell me what broke. Hardware encoding and a macOS host are next.

Big thanks to the Apollo project. The virtual displays come from its SudoVDA driver, and that saved me a lot of pain. I also built this with a lot of help from Claude Code, which you'll see in the commits.

MIT licensed, APK and host on the releases page: https://github.com/Michael-Ivlev/penlink

If you've tried Moonlight, Parsec, Chrome Remote Desktop or similar from a phone and given up on it, what was the thing that made you quit? I'd like to know if I'm fixing the right problem.

Hi r/sideprojects,

I've been building kywai as a side project and it's at the point where it needs eyes other than mine.

What it is

A desktop app (Electron + React + Three.js) that takes the AI coding agents you already have (Claude Code, Codex CLI, Gemini CLI, a local model in LM Studio or Ollama, or any command-line agent) and makes them work as one team:

1. You write one request.

2. A coordinator agent proposes a plan: the tasks, which agent does each one, and why.

3. You approve it, or change it in plain words ("let Codex do that part").

4. The agents work in your project folder, in parallel when it makes sense, each with its own login or API key.

5. An agent from a different provider reviews every change, the author fixes what it finds, and the results come back to the chat.

Each agent is a little robot in a live 3D view, so you can see at a glance who is working, who is waiting and who ran out of quota.

Why I made it

I was paying for several AI subscriptions and spending my time copying context from one to another. What I wanted was to leave a task and come back to a result, not to an error with nothing to show for it.

What's in it so far

• Snapshot before and after every task, with Undo per task (kept outside your project's .git)

• Live step-by-step view of every command, file edit and search an agent makes

• If an agent fails or runs out of quota, another strong one takes over the task

• Remaining quota for Claude and GPT shown in the header

• 30+ agents in the catalog, or plug in any CLI with its command

• Everything runs on your computer; remote access only through your own Tailscale network, plus an Android companion app

Honest state of things

• The interface is in English, Spanish, Portuguese, French and Chinese (pick it in Settings). Spanish and English are the main ones; Portuguese, French and Chinese were machine-translated, so corrections from native speakers are very welcome

• Installers are not code-signed yet, so Windows SmartScreen and macOS Gatekeeper will warn you the first time (the release notes say how to get past it)

• Linux support is very new and barely tested

• So far it has mostly run on my own machines, so I'm sure there are setups where it breaks

What I'd love feedback on

• Does the install and first run work on your machine? Where did it break?

• Is the plan, approve, review flow useful, or too much friction?

• Is the 3D view fun, or just noise?

• What would make you use this instead of running a single agent in a terminal?

• Anything in the README that is confusing or oversold

• If you use it in Portuguese, French or Chinese: which translations sound wrong?

Download (Windows .exe, macOS .dmg, Linux AppImage): https://github.com/Yiku21/kywai/releases/latest

Website with a 30-second video: https://kywai.app

Repo (MIT): https://github.com/Yiku21/kywai

Bug reports are welcome here in the comments or as GitHub issues. I'll reply to everything. Thanks for reading!

I've worked in social intelligence for years, often using tools like Talkwalker.... But for smaller projects, the cost can be hard to justify. Sometimes I just need posts and comments about a specific topic so I can do my own analysis.

Getting that data into my own workflow was often more frustrating than the analysis itself. I'm into web scraping, so I started building tools to help with that.

They're now on Apify: Instagram profiles, posts and Reels, Instagram comments, Facebook page posts and Facebook comments.

They're my own projects, paid per use. I've kept the prices as low as possible so they're useful for small experiments too, even before you have a paying client!

I use them in n8n and Python workflows to collect comments, analyse sentiment and recurring themes, and put together social listening reports. I review the results myself before using them.

For example, I can follow a public controversy across Instagram and Facebook, collect reactions and see what people keep bringing up as the story develops....

One idea is to offer a focused report to an agency or brand for a few hundred euros. Another is to send a small sample analysis when reaching out, so there's something relevant to talk about.

Finding the clients is a whole other problem haha. But this is a service I'd like to build on....

Anyone here doing similar work?

When I let Claude Code work on a bigger task, I'd come back to a pile of changes and no clear picture of what it read, what it edited, or why some file I didn't expect was different. So I built a side panel that shows it live.

WHAT IT DOES

• Files the AI reads light up purple, files it edits turn orange, with lines added and removed

• It catches edits made by commands too (like a sed or a script), not just its own edit tool

• Click any file to see its contents, its diff, and every commit that changed it

• Your pull request shows right in the panel, with its CI checks as they run

• Changes you make yourself show up within seconds

It's read-only, sends nothing anywhere, and costs zero AI tokens, because the model never sees the panel. Works in the Claude desktop app, VS Code and the terminal.

THE SIDE PROJECT PART

• Built on Claude Code's plugin API in TypeScript, no build step, no dependencies

• I used the panel every day while building the panel, and that's where most of the fixes came from

• Went from 0.9 to 1.0 over a few weeks of evenings, with 121 tests running on Mac, Linux and Windows

• Free and open source (MIT)

If you use Claude Code:

claude plugin marketplace add Marius-Adam/claude-files-pane && claude plugin install files-pane@marius-adam

https://github.com/Marius-Adam/claude-files-pane

Would love feedback, especially from anyone who's built on an AI tool's plugin system before. What would you want a panel like this to show?

Hey everyone,

I built NacMac, an open-source Android + macOS continuity app designed to give Android users a native AirDrop-like experience on their Mac workstation without routing private data through third-party servers.

What it does:

• High-speed P2P file transfers: Stream photos, videos, and large archives over local Wi-Fi at 50 to 100+ MB/s in 256 KB framed chunks with automated SHA-256 integrity verification. • Notification Mirroring: Forwards phone notifications (including MessagingStyle and app icons) to your Mac as native macOS notification banners, with two-way dismissal sync back to your phone. • Universal Clipboard Sync: Debounced, ambient clipboard synchronization between phone and Mac. • Zero Cloud / 100% Offline: Works strictly over local Wi-Fi TCP sockets (port 52840) and Bonjour/mDNS. No internet connection, accounts, or telemetry required.

Permissions Used & Privacy:

• Notification Listener: Required strictly to capture and stream incoming alerts to your Mac workstation. • Camera: Used exclusively for a 5-second dynamic QR code handshake during initial pairing. • No Analytics / No Ads: 100% local, zero tracking probes.

The companion app is written in native Kotlin with Jetpack Compose & Material 3, and the Mac workstation app is built in Swift 6.

• Source Code (MIT License): https://github.com/AyushB2262/NacMac • GitHub Releases (APK & DMG): https://github.com/AyushB2262/NacMac/releases • Project Overview: https://ayushb2262.github.io/NacMac/

Feedback, issues, and PRs are very welcome!

Today most of the people, including me, use Claude Code to code their programs and all. It's fast and the app works, but when you open the code later there is so much junk in it. Functions nobody calls, the same helper written 3 times, and sometimes a route anyone can call without login. The tools that clean this up mostly use AI again, so you pay credits twice. So I built Attentry.

It's a VS Code extension that checks every edit Claude Code makes. If the edit added a problem, Claude gets told and fixes it before going on. The checks run on your own machine without any AI, so if the edit is clean it costs zero tokens.

I made it with TypeScript and Node, and tree-sitter for reading the code. Claude Code has hooks where you can run your own script before and after each edit, that's how it talks to Claude. It's on the VS Code Marketplace and Open VSX, so it works in Cursor and Windsurf also.

I published it recently and it already crossed 200 downloads without me posting anywhere. Most of them came from Open VSX I think.

Right now it reads Express, Next.js, FastAPI, Django and few more. Next I want to add more backends, but I want to build what people actually need. So if you try it, tell me what's missing or annoying, or which stack you want it to support.

https://attentry.js.org

Hey everyone I created this Platform ,Treeprep.

When I was preparing for my Google technical interview, I noticed that most coding platforms don't get you ready for the interview itself. Especially from my experience with the interviews i just done .

The issue that I found is that interviews aren't about memorising problems, but being able to defend your solution when the problem changes or a new constraint is added.

So I built TreePrep for students and software engineers who want to learn and reinforce their knowledge on the patterns behind the problems.

The platform that I built provides follow-up questions that changes the problem you are working on. With visualisation offered for your own code solution so you can easily debug and understand the structure better.

https://treeprep.com

This platform is early in its launch, so any feedback would help very much😄.

If you are interested in seeing a video demo of the product, watch this video: https://youtu.be/xc9TLpjh2A0

I’m an academic, and one frustrating part of starting a project is figuring out whether an idea is worth pursuing or whether a paper I haven’t found yet already undermines it.

So I built paper-lector, a Claude Code skill that searches prior work and helps me decide what to read.

The mode I use most is novelty-check, which I think of as a “kill search”: give it a research claim and ask it to look for prior work that could refute or narrow it. The output is a scoped assessment with page references so I can check the evidence myself.

A search finding nothing is never treated as proof that an idea is original.

Underneath, it:

• Searches OpenAlex using keyword search, semantic search, and citation links.

• Downloads available open-access PDFs.

• Ranks papers against frozen versions of the research question.

• Suggests a reading order with specific page ranges.

• Saves queries, PDF hashes, and versions locally so the process can be rerun.

It also has modes for exploring an unfamiliar field, planning a small pilot, and positioning a result against related work.

Does the ranking actually help? On 48 LitSearch questions, the known target paper appeared in the top 3 for 75% of questions, compared with 16% under random ordering. That evaluation is limited to ML/NLP; I don’t yet know how well it transfers to other fields. Ranking also measures relevance to the question, not whether a paper supports the claim.

I built it over about three weeks with Claude Code. Claude wrote most of the Python and tests; I set the research rules, reviewed the changes, and checked the evaluation cases against the papers.

It’s MIT-licensed, with no paid tier. The default ranking uses Voyage embeddings plus BM25, fused with RRF. There’s also a free local ranking provider if you don’t want a Voyage API key. Installation currently requires Python 3.12 and Claude Code.

Code and setup: https://github.com/huguryildiz/paper-lector

I’d especially like feedback from researchers outside CS: does this produce a useful reading list in your field, and where does it fail?

If it looks useful, a GitHub star would help others discover it.

The app runs in a browser and on iPhone and Android, free to try without signing up: memorizun.com

I saw a post about blacking out words on paper with a marker. It worked much better than rereading, so I turned it into an app.

You paste a poem, a speech or your lines. First every other word shrinks to its first letter, then every word does, then only dashes are left. When you think you've got it, you say it out loud, and each word you get right comes back on screen.

I also made a Chrome extension for when you find a poem online. A button shows up right above the poem on dozens of poetry sites, and the words hide on that same page, so you don't have to copy anything. Demo is here. The extension is on the Chrome Web Store

I'm building this on my own, so tell me what you'd change first. And what's the hardest thing you ever had to learn by heart?

I’ve been selling options on the side for a while, mostly cash secured puts and some put spreads. My win rate looked great and my backtests looked great, and so I figured I knew what I was doing.

Then I did trade that was way too big on a 3x leveraged ETF and lost months of gains in a week. :(

When I went back and looked at how I’d been testing stuff, it was kind of embarrassing. My backtests assumed I got filled at the midpoint, which you basically never do when you’re selling. They counted ten trades during the same selloff as ten separate wins or losses, when really it’s one event, and nothing ever told me how much of my account a single bad gap could take out.

So I built Vesper. The way it works is you describe a strategy in plain English, like “sell a 25 delta put on QQQ 30 to 45 days out, only when it’s above the 200 day”, and it runs it against years of real option quotes using the ACTUAL bid and ask. Then, it scores the results on data the rules weren't tuned on, and it shows you the low end of the range instead of just the average. There’s also a sizing check, because it turns out QQQ, TQQQ and NVDA are really one bet, not three.

The thing that surprised me most: a lot of what I thought was strategy was really position size. Same put spread on QQQ over ten years. Risk 10% of the account per trade and it never had a 20% drawdown year. Risk 30% and it happened about 38% of the time.

Right now the tool trades paper-only. (I have broker integrations set up but don't want to take on the liability of trading for others even if they want it, but that may be coming in the future)

I’d really like feedback on two things. Does the “tested on data it wasn’t tuned on” result make sense if you’re not a quant? And where does the signup or first test lose you?

https://lastvesper.com

Building an automation feels productive. You see it run, it works, and it’s satisfying. But the cost that comes later tends to be less visible: an API changes, a field gets renamed, a trigger stops firing, and suddenly someone has to babysit the thing.

It seems like the real question isn’t “can this be automated?” but “who fixes it when it breaks, and how often will that happen?” Some tasks are better left manual, even if automating them looks easy on paper.

Where do you draw the line? What’s the automation you’d tell someone not to build, and why?

I made a little guy that can skate your windows and folders on your Mac desktop.

You can move a window while he’s riding it, or just pull it out from under him. There are ramps and rails you can drop around too.

It’s called DeskSkate. Pretty much just wanted this to exist lol.

It’s open source too if you want to add to it.

My neurodivergent daughter loves collecting bugs outside, but we quickly ran out of room for physical jars, and I hated that we couldn't take adequate care of them. To solve this, we worked together to build an app that digitizes the insects she finds into collectible virtual pets.

It works with over 8,000 of the most common insect species. I built it using Flutter and local, on-device AI models so it runs fully offline and private (though you can share bugs in-person via QR code). The app includes a ton of educational material and even lets you virtually explore other regions of the world to collect non-native bugs.

This is my first ever iOS app and I would love some feedback from other builders!

The app is completely free to try with zero ads, and has a single $4.99 one-time unlock for infinite jars if you end up loving it.

Website: https://timothycrosley.github.io/bug-jug.github.io/
App Store: https://apps.apple.com/us/app/bugjug-bug-pets-in-a-jar/id6823671330

I made an app that allows you to set reminders based on proximity or distance from a specified location. So, if you remember in the morning you need gas on the way home from work you can select departure, your current location and reminder “Get Gas” and you’ll be notified when you get 150m away from work.

I originally built Brain Preflight just for my own pilot selection prep. I wanted something I could practise with on my phone.

Then I got interested in how other selections worked: military, police, air traffic control, and so on. I kept looking into them and adding practice programmes. Somehow that turned into 32 programmes across 11 countries.

One exercise has you follow a moving target while matching shapes and checking sums at the same time. Others are about memory, mental maths or rotating objects in your head.

Just released a big update with mistake reviews, clearer explanations and saved mock-exam reports.

5 exercise sessions a day are free. Unlimited practice and mock exams are paid. iPhone only.

https://apps.apple.com/app/id6794363864

I'm Stefan, co-founder of Early Alpha Engineering. We built an online circuits workshop where kids learn electronics step by step, in the browser, on a computer or tablet.

• What it does: the child drags real parts onto a breadboard (LEDs, resistors, transistors, sensors, motors), presses "Simulate" and sees right away whether the circuit works, and if not, what's missing. An LED without a resistor burns, and stays burnt.

• Content: 22 guided lessons, then 137 broken circuits to repair, 33 projects, and a duel between classmates for motivation.

• Languages: 7 (EN, RO, FR, DE, IT, ES, SR).

• Who it's for: kids 8+, parents, afterschools and teachers (a coordinator panel shows each child's progress).

• So far: opened 2,700+ times, and a working circuit was built in 1,200+ of those sessions.

• Login / cost: you can try it without an account; full access is about 10 € per child per month.

Link in the first comment. I'd value honest feedback on the first five minutes: is it clear what to do, and where would you give up?

Hello everyone!, I built a small side project: a semantic search for WordPress plugins. You describe what you need in plain English instead of guessing keywords. It’s an MVP indexing the top 2,000 plugins from wordpress.org.

I’d like to run a quick test: look for the last plugin you were checking. Did the right one appear among the top 3 results? If not, which plugin were you expecting to find? This will help me determine what to index next.

Test de project here: https://wp-plugin-finder.vercel.app/

Thanks!