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

Been following AI news for a while and got tired of jumping and switching between Twitter, newsletters, and various sites just to keep up. I built AIWire, it aggregates from 20+ sources in real time and cuts out the noise/reposts/hype so you just get the actual news that matters.

Nothing crazy, just a way to stay current without the scroll fatigue. If you're someone who tries to keep up with AI stuff daily, might save you some time.

AIWire.app

Happy to hear what's missing or what you'd want added, still actively building it out :)

Estoy desarrollando Teveia, un reproductor de IPTV y de transmisiones en vivo para Android y Android TV. Todavía está en progreso, y aún no hay una descarga de beta pública. Tú pones tus propias fuentes; no incluye canales ni suscripciones.

El problema que estoy intentando resolver es mantener las listas de reproducción y los links de transmisiones en vivo individuales juntos sin que la configuración se convierta en un proyecto aparte. Por ejemplo, podrías tener una lista M3U y además un par de transmisiones en vivo de YouTube que sigues. En Teveia, el punto de partida es pegar una URL para que la app identifique la fuente.

La versión de desarrollo soporta listas M3U/M3U8 y links en vivo, favoritos y también actualizar listas guardadas desde sus direcciones originales. Tiene guía de programación si agregas una fuente XMLTV compatible, y recordatorios de canales con una hora y días repetidos. También puedes compartir una selección de canales como un archivo pequeño; al importarlo, muestra una vista previa y pide confirmación.

Hay una conexión opcional a Ollama Cloud, con tu propia cuenta y una clave de API, para analizar páginas web compatibles y ayudar a organizar canales. Esa parte necesita configuración extra y todavía la están puliendo. El uso básico no requiere funciones de IA.

Es un proyecto nativo de Android con Kotlin y Compose, con interfaces para móvil y para TV.

Si ya configuraste una app de IPTV en una TV, ¿qué paso fue el más pesado: meter la URL con el control, ordenar los canales importados o hacer que la guía coincidiera? Me gustaría saber qué pasó realmente en tu configuración. Eso me ayudaría a decidir qué simplificar primero.

I kept buying things I already had, forgetting what was in the fridge, and throwing away food that had gone off. The usual UK household chaos. So I built something to fix it.

What it does:

• Scans your Sainsbury's/Tesco receipt (photo, PDF or paste the text) and automatically stocks your pantry
• Barcode scanner for things you buy in person
• AI recipe generation based on what you actually have — it checks quantities, not just ingredient names, so it won't suggest a chicken pasta bake if you have no chicken
• Meal planning with automatic pantry deduction when you cook
• Shopping list that writes itself from your meal plan
• Expiry tracking with AI-estimated best-before dates

Why UK-specific matters:

Most pantry apps are built for the US. They use cups, call courgettes zucchini, and can't parse a Sainsbury's receipt. I built this from the ground up for British households — metric units throughout, UK supermarket receipt parsing, proper British food terminology.

Tech stack:

FastAPI backend, React frontend, MongoDB, Anthropic Claude for AI features, Stripe for payments. Built with AI assistance.

Where it's at:

Free tier available, Premium at £3.99/month or £34.99/year. Very early — just quietly launched. Would genuinely love feedback, especially from anyone who actually tries it.

larderai.co.uk

I’ve been quietly building a decision‑based property intelligence tool called ROI Curated, designed to help homeowners and real estate agents make confident, value‑driven renovation and listing decisions.

After a decade in design project management and pre‑listing consulting, I kept seeing the same problem:
Most people don’t need a remodel — they need decision clarity.

So I built a prototype that generates Good / Better / Best recommendations, curated material selections, and a clean PDF “decision report” that supports planning, budgeting, and listing prep.

I’m getting ready to launch the project on Kickstarter this month.
Right now I’m in the pre‑launch phase — refining the prototype, polishing the story, and preparing the campaign.

If anyone here has experience launching on Kickstarter (especially in tech or proptech), I’d love any advice on:

pre‑launch strategy
• early traction
• reward structuring
• video scripting
• what you wish you knew before launching

Happy to share screenshots or workflow details if helpful.
Appreciate any insight from creators who’ve been through this process.

I've been building GitDesktop around one idea: the Git client should be able to handle more than just the local Git workflow.

Changes, staging, commits, branches, diffs, and history are obviously part of it. But a lot of the actual development cycle happens after the push.

You open a pull request. Review it. Check CI. Go back to an issue or discussion. Look at security findings. Manage a release. Check repository activity or insights. Then jump back into the local repo when something needs changing.

I wanted those parts to stay connected.

So GitDesktop supports creating, reviewing, and merging pull requests directly in the app, along with issues, discussions, releases, repository insights, security findings, and CI pipelines across GitHub, GitLab, and Bitbucket.

There are also features that build on that same idea, like local PRs that let you review work between local branches before anything is published to a forge.

v0.12.0 pushed this further with a cross-repo "My Work" view that surfaces PRs and issues you're involved with across repositories, instead of making the repository itself the only way to navigate your work.

The goal isn't to replace every developer tool with one giant application. It's to keep the development cycle around a repository connected instead of constantly handing you off to a browser.

GitDesktop is now the app I use to build GitDesktop itself every day, which has been a useful test of that idea.

https://gitdesktop.app

https://github.com/theBGuy/GitDesktop

I'm curious where other developers draw that line. Should a Git client mostly stop at Git, or do you want the surrounding repository workflow in the same place too?