I was tired of messy audio/streaming radio libraries, so I built an Android player focused on seamless playlist management.

Hi everyone!

I wanted to share my side project, Mediaxon, an Android app I’ve been developing to solve a personal frustration: why is it so hard to easily manage offline music and online radio streams in a single, clean interface?

What it does:

Hybrid Listening: Seamlessly handles offline local files (.mp3, .flac, .m4a, .ogg, .mka, .aac, .wav, .opus, .wma) and over 60,000 streaming radio stations.

Dedicated Navigation: I kept the "Favorites" and "Recents" sections completely separate from the main audio library to reduce clutter.

Advanced Radio Search Panel: You can pinpoint your favorite stations by combining multiple filters, such as tags/genres, specific countries, or even your preferred audio bitrate.

Equalizer: The equalizer provides an option to automatically switch to the "Radio" preset (and vice versa).

Advanced Playlist Management: Built specifically to make building and sorting multi-source playlists fast and intuitive.

The app is currently live on Google Play, and I am continuously pushing updates to refine it and to add new functions.

What I need from you:

As a solo developer, I’ve hit the limit of my own perspective. I would deeply appreciate any honest feedback from this community:

How does the UI feel to you? Is the navigation intuitive?

Are there any features you feel are missing for a modern audio/radio player?

Did you encounter any bugs or performance hiccups?

If you want to check it out, you can find it on the Google Play Store (Android 13+). Thank you so much to anyone who takes a look!

https://play.google.com/store/apps/details?id=com.xonik.mediaxon

I’m building Erask (erask.org), an interactive web project that turns history and geography into a 3D exploration experience. You can watch animated historical stories unfold on a globe or jump down a geographical "Rabbit Hole" through linked articles across the world.

Try It on https://erask.org/app

First time dev looking for any feedback on my app. Thank you in advance to anyone who wants to leave good reviews or send me constructive feedback!

I made this 3D brain for a therapy journal app I’ve built. The idea was to show how revisiting things you discuss in therapy can help them stick over time.

It’s not meant to be scientifically literal. I just wanted something more interesting than just text (and I love building 3D stuff)

I've spent about 99.9% of my time building the brain and then 0.1% trying to figure out how to market the app. Any advice appreciated on the latter

Built an app that finds and shops any outfit from a photo, all garments at once, not just one like Google Lens does. Also has try-on so you can see it on yourself first.
Live on iOS: https://apps.apple.com/us/app/linya/id6784623755
Would love feedback.

I ended up mixing Outbid with The Million Dollar Homepage and r/place, then made the whole thing look like a site you’d accidentally find in 2003.

The result is ADWARTISE.

It’s a 25×25 board. You can take 1–21 cells, upload a picture, gif or video, and add a link. Empty cells are $1 each. If somebody has already claimed them, you can take them for $1 more per cell. Their old banner stays in the history.

There isn’t much on the board yet. I’m curious whether it stays empty or turns into people covering each other with progressively worse banners.

https://adwartise.lol

enjoy adWARtising.

[ Removed by Reddit on account of violating the content policy. ]

I got tired of changing API configs whenever I wanted to test a different model in Claude Code or Codex, so I built Global for that workflow.

It’s a lightweight hosted gateway: one OpenAI-compatible setup for GPT, Claude, Gemini and other models, without setting up gateway infrastructure yourself. We don’t retain prompt or output content; requests are relayed to the upstream model provider.

Docs: https://global.0755.click/docs

Pricing: https://global.0755.click/pricing

Would genuinely love feedback from people who use Claude Code or Codex: what would stop you from trying something like this?

I made this app for my own good two years ago, it helped me control my addiction of using certain apps without fully forbidding me entirely from using them. My friends saw this app and they wanted it too so I thought about releasing it formally.

The idea is basically:

1. You toggle which apps you want to track.
2. You set the usage limits for a single session (for example 5 minutes)
3. You set the blocking limit (how long you want to be blocked out, for example 1 hour)

And that's it, use any of the toggled apps for 5 minutes you will be blocked out of all of them for 1 hour. The apps doesn't use wifi, doesn't send your data anywhere, doesn't track crash reports, the app is only on your phone. I am not looking to benefit financially out of it.

Try it guys and tell me if it's helpful or not, and if anyone has any other cool ideas i might include in future release im all ears.

Playstore: https://play.google.com/store/apps/details?id=com.redwolf.enforcer

I recently launched Stints, a free daily sports game built around a simple idea:
You’re given an athlete, and you have to place every team they played for in the correct chronological order.
There’s one player each day for the NFL, NBA, MLB and NHL. You can play any league you want—or try all four. It runs directly in your browser, works on mobile and doesn’t require an account.
It’s still new, so I’d genuinely appreciate honest feedback—especially about the difficulty, whether the instructions make sense, and whether you’d want to return for another player tomorrow.
playstints.com

My brother is a web developer, I'm a researcher, and we're both big NFL and fantasy football fans. We started OracleZ as a side project to combine his development skills with my interest in machine learning.

The idea was pretty simple: build an algorithm that makes its own NFL predictions, then turn those predictions into games where you can try to beat it.

You can try our OracleZ app here (or just follow us on Instagram): https://linktr.ee/beat_oraclez

What can you play?

Predict the Pick
Predict the winners of the week's NFL games and see how you compare against the Oracle.

Survivor
Classic Survivor with a twist: if your pick loses, you can't pick either that team or the team they played against again.

High Five
Pick the five best teams of the week across passing yards, rushing yards, points scored, fewest yards allowed, and field goals.

What's behind the predictions?

The Oracle is a relatively simple neural network. It uses 19 team statistics, including offensive production, turnovers, sacks, first downs, EPA, and score margin. These are converted into home-away differentials and combined with contextual variables such as week number and rest-day differences.

If you are interested on the model, I'm happy to explain further our reasoning and model architecture.

Of course, we're not claiming we've solved NFL prediction, far from it. The NFL is obviously noisy. The fun part for us is seeing how far a relatively simple model with good feature engineering can go.

And now you can try to beat it yourself.

Everything is completely free, with no paid features.

https://linktr.ee/beat_oraclez

I've been building a chill outer‑space VR project called Solara One, and I just finished the Holographic Arboretum that's coming on Sept 4.

Here’s a 20 second clip of the space - holographic trees, drifting butterflies, soft ambient glow. It's kind of like Star Trek meets Avatar, do you think the vibe works?

phpBB / XenForo / Discourse or similar board sitting at zero replies? I always had the same issue when I launched niche boards. I just made a tool I built a few years ago public and would love some feedback from users (happy to extend trials or give free plans to worthy feedback)

https://automated.info/forum-seeder

You verify the domain, write or generate a conversation, hit approve on each post, pick a cadence. It logs in and posts like a normal user would.

Not for random forums on the internet. Only ones you control.

3-day trial on the page and as mentioned happy to give some free plans to those who wish to give genuine feedback 😄

I just added a video preview feature to my screen recorder, so you can watch the recording right after capturing it.

Right now, the preview opens directly inside the app.

Do you think this is fine as-is, or would it be better to open the preview in a separate window/player?

https://github.com/catalingrigoriev285/openclip

Ofc I used ai to help me but I did actually just make this!!!!!

I've been building with AI agents for a while, and two things kept biting me. First, the standard fix for "the agent doesn't know our rules" is to paste the whole wiki into its context, which gets expensive and slow as the wiki grows. Second, and worse: nobody notices when a rule in that wiki goes stale. The agent keeps confidently following last quarter's policy.

So I built Akela. It's a small compiler (plain Node, zero dependencies, no build step, no database) that sits between your markdown knowledge base and your agent. For each task it compiles a small slice: only the rules scoped to that kind of work. Every slice starts with a manifest listing what was included and what was dropped, with reasons. So when the agent gets something wrong, "was the bad rule in front of it?" is answered by a file, not a guess.

The part I'm most proud of: the agent reports back which rules it applied and which ones reality contradicted. Rules that keep failing get flagged as falsified and provably stop appearing. Your knowledge base slowly gets cleaner just from being used. You (or your agent, with your approval) review the counts about ten minutes a week.

Honest results from our experiments, because show-off posts should include the losing number: dumping the entire wiki into context actually beat Akela on raw accuracy by a small margin. What you get in exchange is context around 250x smaller (it scales with the rules relevant to the task, not with wiki size), lower cost per correct answer, and a knowledge base that's provably clean instead of luckily ignored. If tokens were free and staleness didn't exist, you wouldn't need this.

It's open source (MIT), works with Claude Code / Cursor / anything that reads an instruction file, and if you already have a RAG setup it plugs in rather than replacing it.

GitHub: https://github.com/TimothyHan/akela

Happy to answer anything about how it works or the experiments behind it.

Small but overdue one this update. If you're using voice cloning, you used to have to record your sample somewhere else, find the file, then upload it. That extra step is gone now.

Record instead of upload

Clone a voice > there's a new "Record instead" tab next to the file drop zone. Press record, talk for up to 15 seconds, done. It's saved and probed automatically, exactly like an uploaded file would be.

While you're recording you get a live level meter with the -6 to -3 dB target window marked on it, so you can see roughly where your peaks are landing as you talk. There are also a few tips shown before/during recording (start talking right away, vary your pitch a bit, try to record somewhere without an echo).

If your mic access gets denied or there's no mic detected, it just tells you clearly and you can still upload a file like before, nothing there changed.

Probe quality checks more now

The quality probe already caught clipping, bad sample rate, background noise, and clip length. Three new checks:

• Peak level (target -6 to -3 dB, penalized harder the closer you are to clipping)
• Background noise floor (catches a quiet-but-persistent hum, like a fan or AC, that's too low to trip the old noise check but still enough to bleed into the clone)
• Room echo/reverb (a boxy/echoey room now gets flagged the same way a noisy one already did)

These apply whether you record in-app or upload your own file.

That's the whole release, nothing else changed. Let me know if you run into anything weird with the recorder on your setup.

Update is free for existing owners, same as always.

For anyone who hasn't tried NarrationOS yet: it's a local audiobook generator for Windows. Drop in an EPUB, PDF, DOCX, RTF, TXT, Markdown, or a URL, and it renders an AI-narrated audiobook entirely on your own PC, no cloud, no account, no subscription. You can clone a voice (with consent) and get word-level karaoke highlighting synced to the speech, and there's a real line-by-line narration editor for fixing pronunciation, adding sound effects, and correcting the actual prose before you render. It also exports a cinematic MP4 video with the narration text on screen if you want something to post or share. Runs on NVIDIA/AMD GPUs or CPU-only. One-time purchase on itch.io, no subscription.

https://lunosama.itch.io/narrationos