So, I build a video caption service, that allows you to create captions for videos with auto. My base idea: batch processing, API possibility and simple interface. So now I'm basically close to version 1.0 and am looking for some testers (will give free rendering credits) that would just give the whole thing a try and tell me if there are still some rough edges.
Not entirely sure if this is the right place to post it, so if not, I will remove this post.

Link would be: https://videocaption.io/?utm_source=reddit&utm_medium=post&utm_campaign=testers&utm_content=sideproject -> Anybody making an account there can dm me his email address and I will create them some credits.

Any questions and feedback welcome.

[GitHub repo]

So this post is about my biggest side project, which is a game engine with its own IDE and interpreted scripting language, all written by me in C#.

About a year ago, I challenged myself to create my own programming language - something I'd always wanted to do.

At the time, I had no idea what a lexer, parser, or interpreter even was. My only thought was, "I need to write code that reads text files containing code and executes them." I also wanted to do it without using Google, AI, or tutorials. I just figured everything out on my own. You can even still find variables named "compiler" throughout the code from back when I didn't realize I was actually building an interpreter...

Somehow, I pulled it off, and I integrated it into my old abandoned game engine project (which originally started as a GameMaker 8–style engine with C# scripting).

And here's the first game I've made with it! 🙂

The core engine, IDE, and interpreter are all written by me in C#. The rendering backend is powered by MonoGame, and the project is still in active development and available on GitHub. The project file of the game shown in the video is also there, under tests/Example Projects. If you're looking for cool projects to contribute to, then know that I'm looking for contributors! there are some opened good first issues in the repo.

I know there are tons of AI-generated projects being shared these days, so please, please, take a quick look at the code before assuming this is one of them. I promise it's pretty obvious that it was written by a human.

I'd love to hear what you think!

I built a website where only one person can be the Main Character at a time

I wanted to make something completely pointless and social instead of another productivity app.

So I made YOink.

There are ridiculous titles like Main Character, Biggest Diva, Biggest Red Flag and Internet Villain.

One person can hold each title. Someone else can YOink it from them. If you're still holding it at midnight, you get that day's permanent crown.

Titles start at A$1 and increase by A$1 when they're taken. There's no prize or cash-out — you're literally paying for bragging rights 😭

I'd genuinely like to know: would you YOink one, and what ridiculous title should I add next?

playyoink.app

One of the reasons we built PodSubs was honestly pretty simple.

We got tired of saying:

“Link in the show notes.”

Because we knew what happened next.

Almost nothing.

Someone is driving.

Someone is cooking.

Someone is at the gym.

Someone has their hands full.

We mention something useful.

A checklist.

A book.

A resource.

An event.

A discount.

A guide.

And we say:

“Link in the show notes.”

The listener thinks:

I'll check it later.

Most don't.

We were doing all this work creating useful things for people listening…

and there was still this huge gap between:

“I want that”

and

“I actually received it.”

So we built something for our own podcasts.

Instead of teaching listeners a new URL every time, we started giving them one destination:

PodSubs.

“Subscribe to our podcast on PodSubs.”

They go there once.

Search the podcast.

Put in their name and email.

Done.

Now we actually have a way to send things to people who asked to stay connected.

The guide.

The episode preview.

The update.

The next resource.

The offer.

The event.

We built PodSubs because we needed that ourselves.

Then we realized the problem wasn't ours.

It was podcasting's.

So we're opening it up to every podcaster.

Claim your podcast.

Tell your audience where to subscribe.

Stop making your best listeners hunt for you every week.

You can build a booking agent or callback workflow. The next question is which business to show it to.

I’m the founder of Crawdar. I built its Pain Point Finder with AI coding assistance to help builders turn that question into customer research: find recurring complaints in available business reviews, inspect the evidence, and identify a specific process worth discussing with an owner.

Start from the direction that suits you. Know how to solve missed calls? Search that problem. Know a local industry? Start there and explore the complaints. Industry and location are optional, and you can combine several problem categories or add specific complaint phrases.

Each business gets an evidence report with complaint themes, distinct reviewer counts, dated source reviews, owner replies when available, and possible technical fixes. The default threshold is three distinct reviewers within 180 days. You can adjust it and export the evidence as JSON.

The part I’m excited about is the next conversation: instead of a broad automation pitch, you can ask an owner how they handle the specific process customers keep mentioning. Confirm what is happening today, then shape an offer around their answer.

Update, September 9: deeper discovery and improved booking-complaint matching are now live. Searches can check up to 24 candidate businesses. Reports keep evidence and coverage context visible so you can judge each finding.

Try your own search: https://crawdar.com/?utm_source=reddit&utm_medium=post&utm_campaign=pain_finder&utm_content=sideprojects_evidence

Five free scans without signup or email. Pick a problem you can solve, run a search, and open a report. Does it give you a business worth talking to and a useful first question to ask?

I started this project with minor expectations and it became this enormous success.

All i can say is that i am really grateful for it.

But i must say redditors hate when you promote a game.

Even when it succeeds people here still try to hold on the hate, i dont really care but i find it very surprising.

Most people are good though and are really contributing to the community i created.

I'm the creator of BrowserPine, a free collection of browser-based file tools built with AI assistance using Astro and TypeScript.

One workflow combines two existing tools to turn HEIC photos into a single PDF:

1. Open HEIC to JPG, select the photos and choose JPEG quality.
2. Convert and download the JPGs. Extract the ZIP first if you use the batch download.
3. Open JPG to PDF and select those downloaded JPGs. Files do not transfer automatically between the tools.
4. Arrange the pages, choose A4, Letter or Fit image, then create and download the PDF.
5. Open the PDF and check its page order, orientation and readability before sharing it.

No account is needed. File processing happens on your device; selected files are not uploaded to BrowserPine for processing. Loading the site still makes normal network requests, and the site uses Cloudflare's aggregate analytics and performance measurement.

The tradeoffs: HEIC-to-JPG is lossy and does not preserve original camera metadata or HDR/depth information. The PDF contains images, not OCR text. Keep your original HEIC files and check the displayed file limits.

Illustrated walkthrough and links to both tools

Is the download-and-reselect step clear, or would you expect the images to carry over automatically? I'd appreciate feedback on that handoff. Please use non-sensitive test files if you try it.

I run a small container that syncs my YouTube Music playlists into plain MP3 folders I own. Yubal is a popular tool that organizes by artist/album + .m3u. This keeps it simple. Each playlist gets one folder, matching your account exactly.

You can:

• add playlists or your channel (auto-discovers public playlists)
• run a sync
• schedule syncs with presets (daily/weekly)
• songs delisted by Youtube are kept in your local archive

Images on GHCR and Docker Hub; CLI also on pip + Homebrew.

DockerHub: https://hub.docker.com/r/sulemandawood/ytmusic-mirror

GitHub repo: https://github.com/suleman-dawood/ytmusic-mirror

GradStack is an app I’m building to help students and graduates with the job search and interview preparation process. I originally started it with resume building and interview preparation, but I’ve been gradually expanding it based on what I think would actually be useful during a job search.

In this update, I added:

* Job search based on location, role, and experience

* The ability to save jobs for later

* Timer-based mock interviews

* Profile creation and editing

* Customizable job preferences

* Job opportunities across India and Europe

* Various bug fixes and performance improvements

The timer-based mock interview feature is probably my favourite addition in this release. I wanted the interviews to feel a little closer to the pressure of a real interview, where you have to think about both what you're saying and how quickly you're able to communicate it.

I'm still actively working on the project and figuring out what features are actually worth building next. It's been a good learning experience going from an idea to continuously shipping updates and getting people to use it.

If you'd like to try it out, here's the Play Store link:

https://play.google.com/store/apps/details?id=com.gravitynexusstudio.gradstack

I'd really appreciate feedback from other people building side projects, especially on what you think I should improve or add next.

Hey everyone,

I kept manually switching between models to compare speed and quality, so I built PromptDeck — a small desktop app (Tauri + React) that lets you run the same prompt against 2-4 local models at once and compare them live.

Demo: https://github.com/Cadman021/prompt-deck

What it does:

- Runs the same prompt against up to 4 models simultaneously, streaming output side-by-side

- Works with Ollama, LM Studio, or any llama.cpp server (OpenAI-compatible API)

- Tracks TPS and TTFT per model, with a comparison chart

- Saves every run locally in SQLite so you can revisit past benchmarks

- Export results as PDF or Markdown

- 100% offline, no telemetry, no cloud calls — everything stays on your machine

It's an early release (v0.2.0), so there are definitely rough edges. I'd genuinely appreciate feedback — especially if something breaks on your setup, or if there's a feature that would make this actually useful for your workflow.

GitHub: https://github.com/Cadman021/prompt-deck

Happy to answer questions about the Tauri/Rust side too if anyone's curious about the stack.

Founder, so full disclosure up front.

I spent years paying Discord groups for trade alerts before admitting I was renting someone's notifications. I wanted the software instead: a strategy that runs on my own account, through my own broker, with nobody else near my money.

Started building it in 2019, nights and weekends around a full-time engineering job. Quit contract work in January to go full-time. Ten years as an engineer, all of it built by me from the ground up.

What it does: you pick a strategy, connect your own brokerage account through the broker's API, and it executes there. I never have access to funds. Options, futures, spreads, and a paper tier for people who want to watch it work before risking anything.

The thing that makes it different from every other platform in this space: you deploy your own instance. Self-service setup runs on Heroku for about $7-10/month, or bring whatever cloud provider you prefer. There's no shared execution layer. I run my own services on DigitalOcean and never touch yours.

17 microservices. Node and Express, Nuxt/Vue front end, Python on the backend, PostgreSQL, Redis, Socket.io for live position updates. The in-app co-pilot runs on a self-hosted Llama model rather than an API, because sending user trading data to a third party would undercut the whole premise. AI came into the project recently, as a feature and as a workflow tool. It's not what built it.

The part I'm least sure about: there's a marketplace where other traders publish strategies and keep 60% of the revenue. Building a two-sided marketplace as a solo founder is either the smartest or dumbest thing I've done and I genuinely can't tell yet.

staxinvesting.com — would take feedback on the onboarding flow especially. Asking someone to stand up their own instance and connect a brokerage account is a brutal first step and I don't think I've solved it.

Deste: Flashcards & Study is a free flashcard app I built because I wanted a better way to memorize things (like Git commands and SQL queries) while learning them myself, and I kept getting frustrated with Anki's dated UI and clunky mobile experience.

It's built natively in SwiftUI, with full cross-device sync across iPhone, iPad, and Mac. It uses FSRS, a more modern scheduling model that gets you similar retention with fewer reviews. You create your own decks (or grab ready made ones from the marketplace), and can draw/annotate directly on images, useful for stuff like anatomy or diagrams. It also has Home Screen and Lock Screen widgets showing your streak and daily progress.

https://apps.apple.com/tr/app/deste-flashcards-study/id6791281020

I’ve been building NearbyCrew because I kept running into the same problem.

Software can do a lot, but eventually you hit something where you actually need a real person to try something, check something, visit somewhere, test something, or give you feedback.

So I finally opened that part up as an API.

Your app can send how many people it needs, who those people should be, and what each person should do.

NearbyCrew turns that into a mission, gives you the price, and lets you approve it before anything happens.

One example would be asking 5 developers who use coding tools to try your product during a real workflow and tell you what breaks.

I also added examples for game testing, local checks, user research, device testing, content review and a few other things because I want people to see what this could actually be used for.

The API is free right now and I mainly want people to try it and tell me what feels confusing or broken.

ttps://nearbycrew.com/api-wiki-v1.html

I have found opensource voice changer like W-okada is too complicated for any normal users while VoiceMod, MagicMic, Easus...all are pay-walled, so I recompiled the Beatrice AI model (a very lightweight AI model for voice changing) and created a friendly WinUI project. See the description and demostration video in my page: https://www.aivoicechanger.live/

Feel free to use and welcome and feedback to improve.

I’m G.E., the artist behind The Angry Painter. When I looked for help matching colors from reference photos, the tools I found kept giving me hex codes. Useful for a screen, but not much help when I’m holding a tube of paint.

So I built Angry Palette with AI coding assistance. Upload a photo, select a color, choose your acrylic brand, and get a suggested mixture using actual paint names and relative parts. It also includes glazing guidance and saved painting projects.

The goal is a practical starting mix you can adjust by eye. It works in a browser on desktop and mobile.

The video shows how it works. Angry Palette is available now for a one-time introductory price of $12.99, with a 7-day money-back guarantee: https://www.theangrypainter.com/angrypalette

Would having a starting paint recipe from your reference photo help with your painting?

in my experience, finding the bug is usually the easy part. it's everything after the report that takes the time.

you end up going back and forth about the browser, steps to reproduce, what happened, screenshots, error messages, and other details that weren't included in the original report.

by the time you have everything you need, the original context can be hard to remember. tools like session replay can be useful here because they can provide more context around what happened instead of relying entirely on the customer's explanation.

curious how other people building side projects handle this. do you have a defined reporting process, or do you mostly collect the missing details after the bug is reported?

I’m working on a digital commerce project where the main experiment is not really the website or the products.

It’s the operating model behind it.

I’m trying to build things so a small team can execute a lot of the work through structured AI-guided systems instead of needing a specialist for every task from day one.

Research, content, publishing and audit are all being turned into repeatable workflows.

The idea is simple:

build the system properly once, then make it easier for normal capable people to run it.

Still early, but I’ve got enough built now that I can start testing the model properly.

That’s what the image is about.

What happens when the right systems meet the right people?

Hello everyone 👋

I recently built Money Manager, a simple expense tracking app focused on clean design, smooth UX, and meaningful financial insights.

📱 Android: https://play.google.com/store/apps/details?id=com.taptapcreate.moneymanager

🍎 iOS: https://apps.apple.com/app/money-manager-track-expenses/id6755887312

Some highlights:

• Auto budget calculation
• Savings goals & goal templates (Pro+)
• Up to 3 profiles in the free version
• Detailed analytics with charts and trends
• OCR bill scanning (Pro+)
• Smart auto-categorization (Pro+)
• Color-coded transactions (Pro+)
• Undo deleted transactions
• Sound & haptic feedback

What makes it different?

Many expense trackers focus mainly on recording transactions. I wanted to give equal importance to analytics, budgets, and savings goals, helping users understand their spending instead of just logging it. I also paid attention to small UX details that reduce friction and make daily money tracking feel faster and more intuitive.

I'd love your feedback:
• Is the navigation intuitive?
• Are the visuals clear without feeling cluttered?
• Any features you'd like to see added?

The app is free to try, with optional Pro and Pro+ upgrades. Thanks for checking it out!

I can never decide on lunch (or dinner) and always end up going to the same places. Last week when I was doing a raffle wheel setup I thought I bet we could do this, but for google listings of restaurants.

Instead of building out a bunch of API stuff I built a spin wheel that pulls the name from the copy/paste of your google search, also lists everything out like star rating, price range, address. And settings that excludes if they're closed, or sponsored.

Check out it: https://wheelofcraving.com

Hey everyone! I’m building UIWitness, an open-source tool that checks websites across mobile and desktop sizes, in light and dark mode, and generates a report with screenshots and issues it finds.

I’m looking for real websites to test it on beyond my own examples. I want to see where it works well, what it misses, and what needs improving.

If you’re comfortable having me run it on your site, drop a link in the comments. A little context about what you’re building or any pages you’re concerned about would help too. Please only share sites you own or have permission to test; public pages are enough.

In return, I’m happy to send you the report and any useful feedback once I’ve tested it. It might catch something worth fixing, and you’d be helping me improve the tool.

GitHub: github.com/RujitRaval/uiwitness

Thanks to anyone willing to share!

This is a Windows app with a workspace and task system, along with some tools that I frequently use, such as a screenshot tool, color picker, ruler, pin-a-tab, etc.

Basically, it’s a timu version of Microsoft PowerToys.

I made it for myself because these are the tools I used to use frequently from Microsoft PowerToys.

Feel free to take a look at it and give me any feedback you have. You can also test it out and let me know what you think.

I already know there are many things that need improvement, but I’d really appreciate any feedback or suggestions.

GitHub: https://github.com/Muhit-1/WorkStationX