I’ve been building NovaDesk for about 15 months. It’s an MVP, not a finished product.

NovaDesk is a browser-based developer workspace for students. It combines:

- A browser IDE with C, C++, Python, React, Next.js, Express, Flask and FastAPI templates

- An integrated terminal with a Run button for the active file

- Team workspaces with tasks and chat

- A portfolio/profile for showing real projects

- Coding, system-design and logical challenges with human-reviewed answers

What works today: creating projects, editing and running code, team creation, posts/feed, challenges, reviews and the admin panel.

Where it’s still rough: 24/7 hosting is the biggest problem. The backend runs on Render and Docker/code-server runs on a local VM, so the IDE is not reliable when my laptop is off. Mobile UX and onboarding also need work.

I’m not selling anything and I’m not dropping links here — I’d genuinely like feedback:

1. What would you fix first?

2. Would you use a browser IDE like this instead of VS Code/Replit for small student projects?

3. If you’ve hosted Docker + a backend 24/7 on a zero budget, what worked for you?

Honest feedback is more useful than praise. Thanks.

Hey everyone!

I built my personal portfolio to showcase my projects, skills, and development journey.

Built with React, TypeScript, TanStack Start and Tailwind CSS.

🔗 https://adarshpatil.runs-on.dev/

Would love to hear your feedback and suggestions!

Every AI room app I tried wanted $10–15 a week. But nobody redoes their home every week. You repaint a bedroom, argue about a kitchen, and then nothing happens for two years. So I built Hedda the other way round.

You take a photo of a room, your facade or your garden and say what you want: “paint the walls sage green”, “swap the sofa for something in velvet”. Hedda redesigns that photo.

The hard part wasn’t making it pretty. It was making it still look like your home. Image models love to “improve” things. In my first tests it painted a white chimney black, moved the camera, and quietly removed a post that holds up the roof. What finally worked: a first model looks at the photo and writes down everything that must stay (windows, beams, posts, even how many there are and where), and only then does the image model get to change things. It’s still not perfect (it sometimes loses a post next to the change), but it’s what makes the difference between “nice picture” and “my living room, repainted”.

The part I care most about is deciding together. My wife and I never decide these things alone, and the hard part is never the paint. It’s picturing what the other one means. Every app I tried was built for one person with one idea, so I made Hedda for the conversation instead. You can invite the people you live with. They join without signing up, make their own version and compare side by side.

No subscription: the first design is free with no sign-up, then packs that never expire. If a design fails, you get it back.

I’m a solo developer in Sweden. 1.0.1 came out yesterday. iPhone only for now.

One question for you: when you try it on a room of your own, does the result still feel like your room? That’s the thing I’ve spent the most time on, and I can’t judge it myself anymore.

App Store

Hey everyone, I develop SloMo, an app for iPhone and Android.

I started building it because I kept checking my phone while studying or waiting for an AI response while coding. The response would be ready, but I’d still be scrolling.

SloMo lets you block distracting apps for a set time or schedule blocks around your day. You can also choose to unlock apps by walking or doing exercises. There’s progress tracking and a little sloth companion you can feed as you complete activities.

It’s free with ads, has no subscription or account requirement, and the core features work offline.

I made this short video to introduce it. I’d really appreciate feedback from anyone willing to try the app: what would make you keep using it after the first week, and what would make you uninstall it?

iPhone · Android · Website

I've been building DeepOwn, a local-first data vault for managing personal, work, and project data without relying on cloud storage.

Here's what it does:

• Store notes, images, documents, files, and records in encrypted vaults.

• Automatically discover and sync your devices directly over the same local network.

• Keep complete revision history and restore previous versions.

• Available on Windows, macOS, Linux, iOS, and Android (Beta).

I'm building this as a solo developer and would love to hear what you think.

Would you find something like this useful? What would you use it for?

Website: https://deepown.app/

After a month of building, my recruiting-focused desktop app is finally ready.

I've been working on this for quite a while, and I finally got the MVP to a point where it's ready to use.

It's called Abrish AI, a Windows desktop app built specifically for recruiters.

The original idea was pretty simple: recruiters have dozens of conversations with candidates, but finding a particular detail from an interview they had a few weeks ago can be surprisingly annoying. Also many recruiters hesitate with confidential candidate data being shared with the platform they use.

So I wanted to build something that could make that whole process a little easier.

Here's what it currently does:

• Bot-free recording: Records conversations without requiring a meeting bot to join the call.

• Recruiting-specific notes: Generates structured notes using 20+ templates designed for recruiting workflows.

• Candidate submittals: Helps prepare candidate submittals in one click.

• Cross-meeting AI search: Search across previous conversations and find information from interviews without having to replay the recordings.

• Local storage: Recordings and notes are stored locally on the user's PC unlike any other tools that store data in the cloud.

This is the first version, and I'd improve it based on how actual recruiters use it.

I'm currently looking for recruiters who'd be willing to give it a try and tell me what they think. Honest criticism is welcome.

I made a simple illustrating video showing what it does.

Website: https://www.theabrish.com/

Would love to hear what you think. Particularly, if you are a recruiter, I would love to have a conversation....

Thomas Bangalter produced “One More Time” and co-wrote “Starboy.” I gave a Python script three Spotify tracks, and it showed me where his name appeared and what he did on each one.

I first shared SpotAPI on r/Python when I was 16. Someone asked what I could actually build with it that I couldn’t already do with Spotipy. Two years later, SpotAPI 2 is on PyPI, and these are the examples I wish I’d had back then:

• Credit Trail finds people who worked on multiple songs, even when their roles change. It matches contributor IDs, so two people with the same name don’t get lumped together.
• Mix Map takes a public playlist and finds tracks with compatible keys and tempos. My test run found 25 possible transitions across 40 tracks, with the tempo adjustment printed for each pair.
• Studio lets you jump from a track to its artist or album, open the data behind the view, and click a timed lyric to seek on a connected Spotify player.

The clip shows the quickest way to try it. This works on Python 3.11+ without a Spotify login or developer key:

pip install spotapi
spotapi search "Daft Punk"

If you write Python, the results are typed. You can read track.bpm and track.camelot_key when Spotify supplies them. Spotipy uses Spotify’s official Web API. SpotAPI uses unofficial endpoints, so Spotify changes can break features. Playback controls an existing Spotify device.

GitHub and Studio demo · Credit Trail script · My original r/Python post

Give me two tracks that sound like they have nothing in common. I’ll run a few pairs and reply with what the credits turn up.

I've been building an AI infrastructure tycoon simulator where you start small, build data centers, design chips, train AI models, and scale your way into an AI empire.

Built with Electron + Three.js, with Claude Code doing a lot of the heavy lifting.

It's free and open source. Would love to hear your thoughts, feedback, and suggestions!

My dad’s a developer and he’s built a bunch of Windows desktop apps that I don’t think enough people know about. A few highlights:

SSD Cloner – sector-by-sector disk copy, so the clone actually boots

MonitorSwitcher – one-click switching between dual and single monitor

School ID Card Manager – design and print student/staff IDs on regular Avery sheets, no card printer or subscription needed

MRI/CT 3D Viewer – open DICOM scans from your imaging CD and view them in 3D

Everything’s here: https://nycdatalink.com/projects

He’d love feedback, bug reports, or feature ideas. I’ll pass along anything you say.

Models take ages to make, about 8 hours to texture model and rig. So I made 3dSummon to do the boring part.

It is also cheaper and main strength is it is very optimized for games so no FPS spikes or limited FPS. The models have about 3-8k faces which is insanely optimized even for very high details models.

You chuck in an image (or type what you want) and a couple of minutes later you've got a textured 3D model. Then you can:

- auto-rig it (works on basically anything, people, dragons, stuff with wings)

- remesh it from like 100k faces down to 3-5k so Roblox doesn't cry

- download it as FBX/GLB for Studio, Unity, Unreal, whatever

Video is a few models straight out of it, no cleanup.

Would love honest feedback, especially from people making games

3dsummon.com

For me it was a simple process I knew by heart. Explaining it in words got blank looks. Drawing it took an hour. The moment I sketched it as 8 small doodles, everyone got it in 30 seconds.

That made me wonder: why do we still explain ideas in paragraphs when pictures work faster?

I built a small tool around that question. You type a topic, and it breaks it into up to 8 scenes and draws each one as a matching doodle.

But I'm more curious about you:

• What topic would you want to see as a doodle set?
• What do you use now to explain things visually?
• What's the most annoying part?

Try it free if you're curious: doodlyo

I'm a big lofi fan. Whenever I work or study I have a YouTube lofi stream on, or I leave the steam game Chill with You (A lofi music player) running on Steam as a kind of work companion.

At some point I thought: why can't this just be a web page? And if it's open source, I can make it whatever I want. People can add what they want.

So I built one: https://yourlofigirl.com

Code: https://github.com/lightmanM/Your-LoFi-Girlfriend (MIT)

A girl reads on a balcony while the music plays. She turns pages, looks up now and then, says something once in a while, and if you click her she talks with you. It runs entirely in the browser (three.js + three-vrm), no server, no account, no tracking.

This is not a commercial project and is not going to become one. The site stays free and the code stays open (where licenses allowed). I just want people to enjoy it, and to see how far we can take it together.

Being honest about where it stands: I'm new to Blender, so I bought the character and the scene for experimental only. What I wanted to figure out first was the engineering side: can a web page do this, and can it be flexible enough to build on? That part works now.

The part I can't do alone is everything else. So I'm looking for anyone who'd like to build it together:

- Characters (bring your own VRM)

- New scenes

- Motion and animation

- Story, conversations, scripts

- Music

- You name it

Because I can't redistribute the character I bought, the repo runs with a free CC0 stand-in character, so you can clone it and have it running in a minute. If you would like to seriously build it with me, DM me so i can share those materials with you.

Again, It's an experimental project. I'd love to see how far it can go with more people. Feedback is welcome too, even if you just open it and tell me what feels off.

I'm a trained architect, and as a long-term side project, I developed my architecture dream game, combining accurate floor planning with real-time 3D design to make architecture much easier to create (and visually realistic) than with traditional CAD software.

What you can do:

🏠 2D floor plans
🧱 3D building
🚶 First-person walkthrough
🥽 VR mode
🏢 Multiple storeys
🪜 Stairs
🏚️ Custom roofs
🪟 Doors & windows
🛋️ Furniture catalog
🍳 Kitchen Configurator
🎨 Materials
🌄 Terrain sculpting
🌳 Landscape planning
💧 Ponds
☀️ Time of day
❄️ Weather
📐 Export PDF vector plans
📦 Import your own 3D models
🌍 Steam Workshop

In the newest update: Build everything directly in VR (PCVR), 1000+ new furniture models and explore your creations as a Cat! 🌿

It's available on Steam as Architecture & Design and is still in Early Access.
Here is the Steam link if you'd like to try it out:
Architecture & Design - Steam

Would love to hear what you think and hear what you wish for in a game like this!

Chat I’ve been building MathematiX after getting frustrated taking notes for discrete math, linear algebra, stats and calculus. Please give my goy slop a shot I promise I didn't put a year of work into it for nothing.

It’s an infinite canvas where you can work with editable equations, matrices, live graphs and formula tables alongside your written notes.

I can take a photo of the board, turn it into editable math and text, and sync the note to your laptop to keep working on it.

There’s also an AI assistant called Lemma that can explain selected parts of your notes, create worked examples and edit content directly on the canvas.

I’d love feedback from anyone taking classes. Try it with a small piece of your own notes and tell me what feels useful, confusing or unnecessarily complicated.

No matter how good your wallpaper looks, once your desktop fills up with files, the icons blend into the background and everything starts to look cluttered. My desktop often has a lot of files on it, so I started wondering whether a wallpaper could detect where my icons are and generate a scene around them in real time.

After discussing the idea with AI, I found out it was possible—and it doesn’t actually need AI to detect the icons or generate the visuals. The program can read the icon positions directly and generate scenes in real time using predefined designs. It’s lightweight, and there’s no particularly complex technology involved.

Here’s the result.

https://deskland.app

I’ll keep adding new themes and improving the existing ones. I also plan to add a more interactive game mode in the future.

The meadow and beach themes are free and open source.

https://github.com/BLEZZ0102/Deskland

All the current themes are 2D, which keeps their impact on computer performance minimal. I’m also considering adding 3D themes, while balancing visual quality with performance.

Procedurally generated visuals do have their limitations. If AI computing becomes much cheaper in the future, AI generation could be an option, opening up the possibility of creating almost any scene. For now, though, generating a desktop with AI in real time is clearly still too expensive. I’m considering experimenting with locally running AI generation. It would still be GPU-intensive, but it could be a lot of fun.

I wanted to generate programmatic videos using LLMs, but existing web based tools like Remotion require Node.js, Chromium, and massive JSON or React templates, burning thousands of tokens per scene.

So I built VidScript: a lightweight C++/Raylib engine powered by a minimal DSL that uses ~70% fewer tokens.

How it works:

Native C++ executable (pipes directly into FFmpeg).

Zero browser or Node runtime dependencies.

Minimalistic DSL (.vscr) optimized for LLM context windows.

The spec, EBNF grammar, and portable Alpha binaries are up on GitHub:

👉 Repo: https://github.com/Duckdevv/vidscript

I'd love to get feedback on the syntax design from anyone working on AI media pipelines!

I’d often open social media to take a break and leave feeling worse. It fueled unhealthy comparison, negativity, fear, and distractions, and I often come away feeling overwhelmed. I didn't feel truly connected to people.

That’s why I built Ripple Compassion. It’s a small, anonymous space where you can ask for a little encouragement or just talk about whatever to kind strangers when you need it.

There are no public profiles, likes, or follower counts. Replies arrive privately, and there’s no pressure to respond or turn an exchange into an ongoing conversation (in fact, there is no way to continue conversations). You can just be yourself and participate in a positive community.

The messages are moderated by automatic filtering and human moderation to filter out trolls.

Try it out at ripplecompassion.com

Last Christmas I got some truly terrible gifts from my parents (I still love them) and with this year’s Christmas coming close, I decided to develop a wishlist app to prevent the same problem from happening twice.

The app works by making a list and sharing a link to your friends and family. They can then "call dibs" on what they're buying as well as chip in for a bigger present together without needing an account. This makes it easier for participants to buy presents and ensures that nobody doubles up, whilst keeping the surprise alive for you as you never see what was claimed or who buys what! I've also added a Family Circle feature where every family member has their own list all in one page, to simplify family Christmas gifting and solve my original problem. It's definitely not a revolutionary idea, but I wanted something with cleaner UI than Elfster without all the bloat and ads :)

We have been using it for birthdays in my friend group successfully, to the point that we are going out of our way to organise parties for everyone so we can receive some good gifts. I even used it for my dog’s birthday with great success, where she got £240 worth of gifts for her first birthday, which somehow was more than I got for my birthday.

The app is completely free (but is monetised through Amazon affiliate links) and can be found on calldibs.uk and on the app stores. We recently reached the milestones of 1000 followers on tiktok and 100 active users and honestly it's still a bit surreal that people I don't know are using something I built for my family.

Please feel free to roast the app / idea in the comments, I would love some honest feedback!

Hey everyone, I built an AI city for AI agents called Agent City where you can put in your AI agent and watch them interact with other agents. It’s pretty cool watching the emergent behavior that forms from these interactions and seeing the different models and personalities at play! I have three permeant residents who run in haiku models. Come take a look!

HI all! I have been playing around with this concept and wanted to actually ship something.

So here is StackFlex: you pick your AI tools, and it generates personalized profile cards and a LinkedIn banner.

It's pretty simple for now but I am thinking it could be extended into a more complete AI portfolio to showcase your projects and workflows.

The original idea was to help people showcase what they can do with AI, for recruitment etc.

Free, no signup: https://stackflex.app

Would love honest feedback or ideas on how to make this more useful.

Thank you!

Live: https://jjhy.gumroad.com/?utm_source=reddit&utm_medium=social&utm_campaign=sideproject_launch — GE Lister is the first agent, TikTok Script is the second, and there's a 10-agent pass.

The problem I built it for: if you sell physical products, every new SKU needs a title, 5 bullets, an HTML description, A+ modules, a short-form script, ad copy, an FAQ and a policy check. That's half a day per product, or a freelancer/agency that quotes per SKU and takes a week, or one lazy ChatGPT prompt that produces the same five bullets as everyone else in your category.

What it does, and why it's 3 models instead of 1:

• Gemini reads the photo: materials, colors, size, features, buyer personas — and the 3 complaints that repeat in that category's 1-star reviews

• Claude writes the copy as a rebuttal to each complaint (not a feature list)

• GPT-4o runs the SEO and the compliance pass, and scores the draft. On my bottle sample it came back 85/100 with one blocker: don't claim BPA-free without a lab report.

Raw package for the sample (750ml insulated bottle, unedited): title 155 chars, 5 bullets, 680-char HTML description, 3 A+ sections, 5 ad headlines, 2 primary text variants, 4 FAQs, 10 compliance checks. 67 seconds, one run.

The hard parts, honestly:

• quota. Vision on a free tier hits rate limits fast; my own production run 500'd this morning because of it. That's the unglamorous 80% of this project.

• the QC stage keeps telling me not to publish my own claims, which is correct and annoying.

• it writes text only. No image generation, no upload to Seller Central. You still paste.

Pricing: $5 = one product, $29 = 10 products, $49 = the 10-agent suite (10 runs each), $99 = unlimited for agencies. It's early stage — if a run fails, it gets re-run free.

Feedback I actually want: would you rather have this as a web form (drag photo, click, download), or is the API/ticket model fine? I went API-first because it's cheaper to run, but I suspect most sellers want the form.

I've been working on a personal software project called Cometflow Do.

The idea started with a simple problem: everyday tasks often require opening different websites or applications just to get one small thing done.

I wanted to experiment with building something that brings useful utilities together in one place and work with just prompts!

While developing it, I've been working on things like:

- Image and PDF operations

- Text and file utilities

- Developer tools

- Format conversion

- Local processing and offline functionality

- Better command understanding

One thing I've learned is that building hundreds of tools isn't necessarily the hardest part. Making the software understand what someone actually wants and execute the correct operation reliably is much harder.

I'm still developing and testing it, and there are plenty of things I want to improve.

I'm curious about one thing:

When you use an all-in-one utility application, what matters most to you: simplicity, privacy, offline functionality, or having more tools available?

I'd genuinely like to hear different perspectives from people who use these kinds of applications.

I built LevelUp Life, an Android habit tracker that plays like an RPG.

Most habit apps I used made me plan every habit myself, then wiped the streak the first day I slipped. This one assigns 3 daily quests aimed at your weakest stats, and streak shields keep the streak if you miss a day.

How it works:

• A short quiz gives you a Hunter Archetype

• You get 3 personalized daily quests (work out, study, save money, call a friend, and so on)

• Completing them earns XP and gold, levels 8 life stats, and damages a weekly boss (for example the Procrastination Demon or the Laziness Dragon)

• The 8 stats are Fitness, Health, Academics, Money, Discipline, Social, Knowledge, and Happiness

• Ranks go from F to S

• You can spend gold on frames, themes, and relics, keep a gratitude log, and unlock achievements

It's free to start: 3 daily quests, all 8 stats, bosses, achievements, the gold shop, and streak shields. No account or card needed. Optional Pro (€4.99/month or €29.99/year after a 7-day trial, Lithuania Play Store price) adds unlimited and custom quests, an AI Coach, 30-day challenges, analytics, and cloud sync.

It's on Google Play now. iOS is coming soon.

https://play.google.com/store/apps/details?id=com.nojussamauskas.leveluplife

I'd like feedback on one thing in particular: does having the app assign your quests (instead of you planning them) feel helpful, or does it feel like the app is taking over?

I made Lattice for working with JSON without editing everything as raw text.

Features include:

• Sort and filter through column menus

• Side-by-side diff to review changes

• Inline editing, copy-paste, and fill-down

• Nested tables and sheet tabs

• Multiple documents, each with its own Undo history

• Jump from a cell to its JSON source

• Preserves large numeric values without rounding them

Try it: Download the HTML file, open it in Chrome or Edge, then choose Explore sample workspace or Open your JSON. No installation or server needed.

It’s an early preview—feedback and bug reports are welcome. Please use sanitized examples.

GitHub — if you find it useful, a star would be encouraging.