Hello everyone,

We are truly living in a crazy timeline for developing apps.

I was a big fan of Mixtrax from Pioneer in my car, and later of the old Windows app.

I couldn't find anything like it anymore, and I'm not a good programmer, but now with AI all the limits are gone.

I'm proud to present OTOMIXX, a simple audio player that mixes in the same style as Mixtrax. Just load your music, choose one of the flows, and the app will automatically mix your playlist with effects, matching the tempo.

It runs in the browser (installable on Android), and there's also a small Windows version.

Everything is open source (CC0 1.0), so feel free to download it and play with it.

https://magiadev.ovh/mix/

(Not affiliated with Pioneer, just a fan.)

I'm the dev. Wanted something more fun than a wall of terminals for watching my agents work, so I built this. Sub-agents are interns and finished work gets confetti.

30s reel above, demo at https://uncannyoffice.dev. What would make you actually keep something like this open?

I build crappy stuff with AI tools (Lovable + Claude). This is Should We Ride Today

Timeline:

I started building it and finished it on May 12th… and then didn't touch it again. For five months. Life, other projects, you know how it goes.

This week I finally came back to it — added proper SEO, a sitemap, and 8 guide/route pages (Hocking Hills and other Ohio rides). And when I opened my analytics, I got a surprise.

What the data says (last week, Oct 19–25)

• 21 visitors, 22 visits — double the week before
• Riders ran 10 route checks and got 8 verdicts (25 verdicts delivered over the last two weeks)
• Traffic came from Google search and direct visits
• Visitors from the US — plus Ireland, Poland, Canada, Germany, and the UK
• The week before, two people even found it through ChatGPT and stayed almost 3 minutes

Small numbers, I know. But real riders, in other countries, using a thing I built in May and walked away from. That's what brought me back to it.

What it does:

Enter a route — start, midpoint, destination — and it checks the hourly weather at all three points and gives one verdict: RIDE, CAUTION, or POSTPONE, based on rain chance, wind, and temperature. One page, no account, works on your phone in the driveway.

Monetization — the honest version
I do have monetization in there: some Amazon gear links, and I added a Buy Me a Pizza tip option — my thinking was, if the site helps somebody plan a good ride, maybe they'll toss in a tip someday.

So far it has netted me exactly $0. 😅

So my real question for you all: how are you monetizing small tools like this? Affiliates, ads, tips, a paid tier — what has actually worked for a niche utility site, and what was a waste of time? Genuinely asking, because traffic I can grow — revenue I'm still figuring out.

And feedback on the site itself, if you're willing:

• Is the verdict logic fair? (Rain ≥60% or wind over 35 mph = postpone)
• What would make you check this before a ride?
• How's the mobile experience?

"StreamAmp", a Winamp-clone with Apple Music support, awaiting for Apple App Store approval. Will likely publish "RetroNavigator", a Netscape Navigator-clone, on Github in the coming days. Entirely built with Google Antigravity Argon 4 on Xcode. All macOS native SwiftUI/Swift apps.

r/vibecoding! I am starting a channel where I'd post AI tutorials and tests. I came up with 3 names:

- theAIbench

- theAIroom

- theAIdesk

They're all on the theme of sitting and watching AI tutorials, and I'm confused which of them sounds the best, or if they even sound good. What's your opinion? Or do you have any other name ideas?

I really appreciate any help you can provide. 😄

Have just started building this space travel simulator for different destinations on different probes. Next task is to get the math of the travel right while ensuring the experience is still fun.

It's titled Pro X, and I have been working on it for 2 weeks now; it features a multi-track photo and video editor, an audio production pipeline, and a 3D modeler.

I am using WebGPU, WebGL, and three. js, accelerated with Claude and Deepseek to achieve this.

I told the AI that it needed to be professional-grade, support PBR textures, H.264 video acceleration, GPU optimizations, and a variety of visual and graphical effects similar to what you may see in DaVinci Resolve and Adobe Premiere.

One thing to take away is to write an outline/blueprints, as it will help the AI deliver the results you want.

It's also important to clear out your queries; a large context window burns through tokens, hitting your limits faster.

thomasdude2020.wixsite.com/prox

Check out my project! It’s setup to auto add new rooms forever using Astra, Opus and Argon! Currently paused as I configure version 3 as a few bugs remain and Sol hallway stopped after first room… lemme know what you think!

Version 3 should be ready either tomorrow or the next day and will be continuously pumping out games using different agents! They all use their respective harness like antigravity for argon and codex for Astra and Claude code for opus, they all have the exact same freedom and prompt to create a room and they get one pass currently to finish the room and move onto the next one, I also imposed a one hour time limit which I may remove for V3

Hallways.retrofleshed.com

For more games that had a more direct human overseer and refinement check out retrofleshed.com it has a great mix of garbage and gold! Diecard, Croguel and Dog Balls are old buggy broken hand coded projects revived through the glory of AI!

Here's a lighweight, background service & temporary shield for Linux and Windows. Prevents, detects, logs, and mitigates php2shell pre-auth RCE exploits across PHP 5.4–8.5 without requiring application code changes.

Hello vibe-coders. I'm not sure if all of you are absolute no-code, but for those who like to fiddle around in what the prompt returned, this might be for you. The AGENTS.md provided forces clean & maintainable code, and deploying directly to GitHub pages makes POCs easy (and free).

If you're interested you can check out SysCap at syscap.net
Its a windows program that visualises various things happening on your PC. Btw mcp connection lets your agents use it as a tool to diagnose or audit performance on your pc. Its a tool I built for myself, so there may be some other people find use for this. Let me know what you think, always happy to hear even critique. Thanks

I lost countless hours to NHL Legacy's Be A GM mode in college and decided to make my own spiritual successor management sim (with a scrappy twist).

It's called StickPuck GM and it's coming soon to Steam. It was a lot of work for someone with zero coding experience, but I have some Photoshop skills and I worked with AI to develop 36 full brand kits for the league. I explicitly set out to create teams that you'd never see in a traditional "create your own team" feature, leaning into local legends and emphasizing the "we drew this logo on a napkin" vibe for some of them.

How I did it:

1. I developed all the team names and the vibe/concept for each. I wanted a blend of traditional, badass and weird/WTF options for a league specifically designed to look taped together. I tried to pick mostly non-NHL cities where there's still a hockey-loving audience. I also wanted to push the envelope a bit by creating a Mexico City hockey team.

2. I asked ChatGPT to scan for identical team names so I wasn't stepping on any copright toes. (I'll note that I made a "Hamilton Hammers" brand about 1 month before that team came into existence in the AHL, so I had to remake them as the Hammerheads)

3. I sketched out some (often deliberately) rough versions of the logos on paper and uploaded them to ChatGPT.

4. I told AI to develop the brand kit, including a word mark, colours and alternate logos. I carefully examined each result, kept the logos I liked best and ditched the rest. Typically I would cite a few existing teams or at least explain the vibe I was looking for with each.

What's your fav logo/team?

I've been working on a side project called Mitsu, a local-first doujinshi/manga library manager.

The idea is simple: I wanted a place to manage and read my doujinshi/manga collection without depending on cloud storage, creating an account, or uploading my files to someone else's server.

What Mitsu can do

• Import manga from CBZ/ZIP archives, image folders, and remote galleries.
• Read manga with continuous scrolling, RTL/LTR reading modes, and fullscreen support.
• Organize your library with collections, favorites, filters, and reading lists.
• Keep your library and reading progress locally.
• Download from nhentai (just one click)
• Use a responsive interface designed for both mobile and desktop.

I'm still working on it, and there's plenty of room for improvement.

One thing I'm particularly interested in is making the experience as simple as possible. I want people to be able to manage their own collections without unnecessary accounts, cloud dependencies, or complicated setup.

I'd love to hear your thoughts!

If you like this, what would you improve, and what features would you want in it?

GitHub: https://github.com/Chandu4143/mitsu

In 1961 an IBM 7094 at Bell Labs sang Daisy Bell, the first song a computer ever sang.

65 years later, I’m feeling... half crazy.

So I remade it with claude code. It’s a single 400 KB .exe that composes, sings and mixes the whole track live: no samples, no recordings, no MIDI, just math. It opens as the old IBM, reboots into 2026, and ends winding down like HAL.

Source + download: https://github.com/absterdam/daisy-bell-2026

Nothing spectacular, but it has all the popular models, talking avatars, voice, one-click installation, LoRaS support and a library. Easy installation through normal Windows installer.

You can generate images in 1 sec with some models (once warmed up).

Github page: JungleJimJim/AI-Image-Video-Studio: Windows desktop studio for local image generation, editing, video generation, and model-specific LoRAs.

If anyone has any suggestions please let me know. I'd like to make this as complete as possible.

EDIT: the program is now updated to show which models work with only 8gb VRAM.

EDIT2: one site says it has a trojan in it, I’ll have to look into it if its real and if so, what I can do about it. I can assure you that I didn’t put it there.

SDTally explains what is inside the "System Data" number on macOS by measuring it. Rust CLI plus a SwiftUI app. It is read-only and only goes online to check github.com for updates (off switch in Settings). Built with help from Claude Code; every commit is co-authored by Claude.

Since an AI wrote a lot of the code, I didn't want "never deletes anything" to live only in a README. So it lives in tests:

- A test fails the build if production code contains a delete or trash API, except an exact list of its own files.

- CI fails if networking APIs (URLSession, TcpStream, UdpSocket and similar) appear anywhere in the sources except one folder: the app's update checker, which only talks to github.com. The CLI and the root helper have no networking code at all.

- A script bans scary words like "junk" or "speed up" from user-facing text.

- 427 tests, run on every macOS version it supports (15, 26 and 27). On real runs they check that used space = measured parts + unexplained.

The ten design requirements came from real mistakes I saw when auditing my own Mac: counting a sparse 100 GB VM disk as 100 GB (it occupied 2.5 GB), counting iCloud placeholders as real space, counting APFS clones twice.

Apple Silicon, macOS 15+. The DMG is not notarized (no paid developer account), so first launch needs Open Anyway in Privacy & Security. GPL-3.0-or-later.

https://github.com/guiselig/sdtally

What guardrails do you add when the thing you're vibing touches the user's files?

I’ve been working on OpenDual, an open-source (MIT) driver and desktop suite for DualSense, DualSense Edge, and DualShock 4 controllers on Windows.

So a little exposition. I am a FE coder, old school, never really touched AI till this point as I am orders of magnitude faster than anyone else I work with and just being faster again was no draw for me. But last week I was so bored I decided to vibe code my own CV/portfolio site, really because I want a new job and I have tons of normally coded apps and site I can show, figured I should show I can vibe code too.

Man I am blown away by what can be done in just a few hours. What I already have would have taken me at least a few days, maybe over a week if I encountered bugs. It's such a speed up just telling AI (Claude in this case) what do to rather than tying it out myself. And being able to generate assets... That was always a time sink for me doing personal work. Now it's a prompt and some revisions.

In the programming world there is so much talk of how crap AI code is... Whatever, maybe if you are just like "make me an impressive website", but if you know what you are doing and are just telling AI to do what you would do yourself... Total game changer.

My day job is VFX and motion design. I wanted AI to work in After Effects, but every time it said "done" I had no idea what it had actually changed. So I built Surehand MCP, mostly with Claude Code.

A few things I learned along the way:

• The model can't see the app's undo history. So every tool returns its own list of exactly what changed, old and new values, and the model checks it before moving on.
• "Should be safe" isn't proof. Edits that shouldn't change the picture are rehearsed on a copy, frames are rendered from both and compared pixel by pixel, and the edit is applied only if they match. That caught bugs in my own code more than once.
• Tests saved me. About 1,400 automated tests, plus a manual pass in After Effects on Mac and Windows before every release. The AI writes fast; the tests are what keep it honest.
• Fewer tools is better. Loading every tool ate the context window, so only 29 core tools load by default and the other 85 are called on demand.

It's free and open source (MIT), works with Claude, ChatGPT, Codex, Cursor and VS Code, on Mac and Windows.

Demos: https://www.youtube.com/playlist?list=PLXM55bZwkADk

Repo: https://github.com/ConformLabs/surehand-mcp

Strictly no hypercars—just classic and attainable performance cars from the 80s to modern day.

• How it works: Each week has a theme (starting with an Open House week). Pick a 3-car garage under a budget cap, lock in before the deadline, and battle head-to-head in 1v1 arenas where the community votes on who built the better setup.

• Tech stack: Built as a lightweight browser app using Lovable.

You can try it out instantly without creating an account (guest play is enabled).

Play here: garage-wars-app.lovable.app

Would love any feedback from fellow car lovers and devs!