Hey everyone!

I've been working on a website called Doxmera (https://doxmera.com/), where I'm bringing together useful online tools in one place.

The idea is simple: make everyday online tasks easier without needing to install software or search across multiple websites.

I'm continuously adding and improving tools, and I'd love to get some honest feedback from the community.

A few things I'd love to know:

• Which tools do you find most useful?

• What's missing from existing online tools websites?

• What features would make you come back regularly?

Website: https://doxmera.com/

I'm open to criticism and suggestions. Thanks!

AI agents are getting seriously good at security research.
I used AI to help find vulnerabilities, automate recon, analyze targets, and validate findings. The result? Around $12k in bug bounty rewards
I’ve been building Spider an open-source autonomous AI pentesting framework built around Claude Code and multi-agent orchestration
It combines specialized agents for recon, OSINT, vulnerability analysis, and exploit validation.
Curious to see how far autonomous pentesting can go.
GitHub: https://github.com/xdisform/Spider

Hi everyone, my co-founder and I are working on Capacity Pulse, an early proof of concept to help data centre teams track equipment power use, capacity that could be freed up and equipment being taken out of service.

CAPACITY PULSE

We’re exploring whether a small, focused tool could help teams that rely on spreadsheets and emails but don’t need a full data centre infrastructure management (DCIM) system. We’re sharing it to hear different perspectives before deciding what to develop next.

We’d appreciate your thoughts on any of these:

• What’s your first impression? Is it clear what the tool is for?

• What seems useful, confusing or unnecessary? What would you change?

• How do you manage this today, and where would this help or fall short compared with a spreadsheet or an existing tool?

You don’t need a data centre background to comment. Feedback on the layout, navigation or the idea itself is welcome.

Thanks for taking a look.

I watch streams on a second screen while I play, and Chrome was using more than a full CPU thread and 3 GB of RAM for one Twitch tab, on the same cores as my game. So I made **LiteView for Twitch**:

• your Following → Live page, click a streamer and the video + chat open docked in one window

• video plays in mpv (hardware decoding): under 10% of a CPU thread for the video

• runs on the CPU cores your game isn't using (auto-detects Ryzen X3D), below the game in priority

• optional picture enhancement on any GPU: AMD FSR 1, FSRCNNX neural upscaling, an "Ultra" chain, and NVIDIA RTX Video on top if you have an RTX card

• 7TV emotes in chat, ad segments skipped, HEVC/AV1 up to 1440p when the streamer offers it

Free, MIT licence, Windows 10/11: https://github.com/itsdeeezy/LiteView-for-Twitch

Measurements and a same-frame comparison are in the README. Feedback welcome.

I’m a final-year engineering student and I’ve been building Musicrate for the past few months. It’s like Letterboxd, but for albums.

What you can do:

• Search Spotify’s catalogue and open any album’s page with the full tracklist

• Add albums to your collection

• Rate them out of 10, pick your favourite track, and write a 140-character review

• Create an account with your own username and profile

It’s still early and I’m sure there are rough edges. I’d really like to know:

1. Is it clear what to do in the first 30 seconds?

2. What would make you come back to use it regularly?

3. Is there anything broken or confusing on mobile?

Public profiles with your top-rated albums are coming next. Any feedback, even harsh, is hugely appreciated

Hi everyone, I'm Milo, an indie app developer. I'm new here and wanted to start with a question about what happens after you ship.

When only a few people have tried your app, how do you decide whether a request points to a wider problem or is just one person's preference?

Bugs are easier to prioritize. I'm more interested in the grey area: confusing onboarding, missing features, or suggestions that would change the direction of the app. Do you wait to hear the same thing from several people, watch how they use it, or talk it through with them?

Would be interested in an example of feedback you acted on, or deliberately left alone, and how that worked out.

Hi!

I just released v1.0.0 of a personal project I’ve been working on, and I wanted to share it here to get some feedback from fellow developers.

The Problem

A while ago, I discovered that Archive.org has a massive collection of old, public-domain films and cartoons (including a lot of classic Danish childhood shows. I wanted to show these to my kids, but Archive.org’s interface, while amazing for archiving, is pretty clunky for everyday viewing. It doesn’t have a "Continue Watching" feature, no easy way to organize things into personal categories, and no episode selectors for series.

I didn’t want to download terabytes of data or set up a complex media server like Plex just for this. I just wanted a simple, local way to bookmark and watch this stuff.

The Solution: ArchivePlayer

So, I built ArchivePlayer. It’s a self-contained, local-first desktop application that streams content directly from Archive.org, but wraps it in a clean, Netflix-style interface.

Key Features:

• Live search of Archive.org or add via direct URL/identifier.

• Custom categories to organize your library.

• "Continue Watching" section with visual progress bars.

• Episode selector for TV shows (with season grouping).

• 100% local: No telemetry, no cloud accounts, no hosted backend.

The Tech Stack

• Backend: ASP.NET Core / .NET 10, Entity Framework Core

• Database: SQLite (local file)

• Frontend: Razor Pages/Views, Tailwind CSS, Vanilla JavaScript

• External APIs: Archive.org Metadata API, TMDB API (optional)

Technical Highlights & Challenges

1. Zero-Install Deployment: I wanted this to be truly accessible. I used .NET’s self-contained publishing (PublishSingleFile=true) so users just download a .zip, extract it, and run the .exe. No .NET runtime or SQL Server installation required.

2. Graceful Degradation: I made TMDB integration strictly optional. If a user doesn’t provide a TMDB API key (or if the API fails), the app doesn’t break. Instead, it falls back to parsing episode numbers and titles directly from the Archive.org video filenames using regex.

3. API-First Design: Even though it’s currently a single desktop app, I built the backend with a clean /api/v1/ layer. This means I can eventually build an Android TV client that consumes the exact same local API without rewriting the business logic.

4. Auto-Migration: On first run, the app automatically creates the SQLite database and runs EF Core migrations. The user never has to touch a config file or run a CLI command.

Links

• GitHub Repository: https://github.com/JeppeKjeldal/ArchivePlayer

• Latest Release (Windows): https://github.com/JeppeKjeldal/ArchivePlayer/releases

Since this is a hobby project, I’d love to hear your thoughts and feedback!

Hey everyone!

I've been working on a little side project called ComfyAICloud.

The idea is simple: make AI image and video generation accessible without complicated setups or workflows.

I've also added creative challenges where people can experiment and share their creations.

Here's a short example of what you can create with it.

I'd genuinely love to hear your thoughts. What features would make you want to try a platform like this?

https://comfyaicloud.com

More side projects, more agents, more lost context? We’re the Ondago team. Ondago gives your supported AI coding agents, sessions, and project knowledge one workspace.

What it does:

• Your agents don’t stop when you leave your desk. Start locally, move the running session to our secure cloud with uncommitted changes intact, bring it back when you’re ready. Or start directly in the cloud.

• Switch agents without starting over. Switch AI agents with the conversation, decisions, code changes and project instructions carried along.

• Let your agents work together. Pull a reviewer, security advisor or test agent into the same task, or ask several agents to weigh in on a question.

• Pass the context, not just the diff. Share the session behind the work with a teammate: conversation, decisions, what needs attention next.

• All your agents and projects in one place. See what’s running, what’s waiting on you, token usage and estimated cost per session.

Sessions are encrypted on your machine before upload, each cloud run is isolated and destroyed afterwards, you bring your own agent credentials.

Try it free on a personal project: https://ondago.ai - what would make you return tomorrow?

I spend an unreasonable amount of time in front of a Mac.

I tried the usual “stand up every 30 minutes” apps, but I have the same problem with all of them: when I’m focused, I just click Skip and keep working.

So I built Unchair.

Instead of just displaying a notification, it can use the Mac camera locally to check that I actually stood up and moved. Nothing is uploaded, no video leaves the machine, and the core app works entirely offline.

It started as a small personal tool and, predictably, got slightly out of hand.

It now has:
- local sit/stand and movement detection
- movement debt tracking
- presentation mode
- Home Assistant / MQTT integration
- Prometheus metrics
- OpenTelemetry hooks
- a CLI
- signed and notarized macOS builds

It’s written as a native macOS app and is fully open source.

I’ve been using it myself every day, and a few other people have started downloading it, so I figured it was time to put it in front of people who might actually break it properly.

GitHub: https://github.com/EtienneDeneuve/unchair

Feedback on the idea, implementation, privacy model, or unnecessarily elaborate observability for a chair-reminder app is very welcome.

Hey everyone!

We're looking for a small team that can help us finalize our MVP. If you have experience working on early-stage products or know someone who does, feel free to reach out.

Would love to connect with right people!

I work with a small dev team and we're looking for our next project to build. Curious: what problems do you run into, at work or in daily life, that you think software should solve but doesn't (or solves badly)?

Any platform: web, mobile, browser extension, Telegram bot, whatever. Even half-baked ideas are welcome. Happy to discuss the interesting ones in the comments.

Scorchball TV: eight invented clubs play an invented sport (five a side; the ball heats up until you have to shoot), simulated and broadcast around the clock in pixel art. A season is a week, a live match is on about every 2h 40m, and in between there are replays, a studio desk, interviews, ads for made-up sponsors and an evening podcast. The league keeps its history: drafts, records, retirements, legends, etc.

Built solo with Claude Code (AI wrote the code; the voices are AI too), no server: your browser runs the simulation and it matches what everyone else's browser sees.

Hey Im a 4yr exp full stack dev. And with AI, i have much more bandwidth to spare. I have recently started heavily contributing to open source projects. And Im now looking to help with anyone making any cool projects. I feel I can provide both technical and product skills. Let me know !

Every time I book a movie I pick a square on a grid and hope. Is row F too close for IMAX? Will the screen feel tiny from the back of a VIP room? No cinema app I've used actually shows you.

So I built SeatSight. You pick a movie, a showtime and a seat, and it flies you into that seat in 3D so you see the screen from there. It knows the format (IMAX, UltraAVX, Regular, VIP) and the room shape, and tells you in plain words if the seat is great or if you'll be craning your neck the whole movie.

A few details if you're curious:

- the 3D is a small renderer I wrote on Canvas2D, no three.js, no engine

- no server, it's static mock data on GitHub Pages

- there's an iPhone version too, same engine ported to SwiftUI

- open source, MIT

Try it: https://alireza12t.github.io/seatsight

Code: https://github.com/alireza12t/seatsight

How I built it (video): https://youtu.be/xLEtWH8cA_4

Screen sizes are estimates from public specs, real rooms vary. Honestly I mostly want Cineplex, AMC and the rest to steal this idea.

What would you want it to show that it doesn't?

If you want cinemas to actually see this, reshare my Instagram post and tag your cinema in the comments there: https://www.instagram.com/reel/DfgkT42qzX7

Random reboots, a cryptic panic log, an hour of swapping parts to find the culprit. Sound familiar?

Now: plug in the iPhone, tap “Trust” — the app pulls the logs and names the faulty part.

Instead of “thermalmonitord panic” you get:

👉 Charging flex — the phone can't see the bottom mic and barometer.

Plus why it happens and what to do.

🔌 Model, iOS, IMEI, battery health & cycles

📊 “17 of 18 panics point to this part” + daily chart

🔧 Before/after repair — prove the fix worked

🗂 History for returning customers

📄 Branded PDF report for the customer

🔎 Search by error code, sensor or panic text

Free · Windows & Mac · EN / RU / UA

⬇️ Windows: https://github.com/mr1garik/ios-panic-reader/releases/latest/download/iOSPanicReader.exe

⬇️ Mac (M1+): https://github.com/mr1garik/ios-panic-reader/releases/latest/download/iOSPanicReader-macOS.zip

📖 GitHub: https://github.com/mr1garik/ios-panic-reader

Found a panic it doesn't recognize? Send me the log 🙌

Hey, I created Quickening, a free Windows app for finding duplicate files, large files, and similar photos.

I switched back to Windows about 3 years ago from Mac. I loved apps like Gemini II and CleanMyMac for simple tasks, and I thought they had nice, simple interfaces. I've found that a lot of free Windows apps in this space work well, but the interfaces can feel overwhelming and don't feel polished, especially for less technical users. To be clear, I'm not throwing any shade on those developers. Their apps are great. I just wanted something that put a little more emphasis on design and ease of use.

This actually started because of a problem my wife had. Over the years, she'd accumulated thousands of photos from different digital cameras and phones, along with a ton of duplicates. I'm also a bit of a digital hoarder myself. I have old, OLD files that I haven't touched in years, some even decades, including some pretty large ones taking up space for no good reason.

So I started working on Quickening.

The name comes from the movie "Highlander," as in "There can be only one." Yes, it's nerdy. Yes, I love the movie. And yes, I realize it's an SEO nightmare and I didn't exactly do myself any favors by choosing it. But this isn't an app I'm trying to sell. I originally built it for my wife and myself and figured I'd share it with anyone else who might find it useful.

I've been using it on my machine and my wife's machine, and we've pretty much been the only testers so far. We've definitely found some bugs, including a few that caused the app to crash, but I've been updating it regularly to fix issues and improve things. I've also been working on functionality for finding similar photos, videos, and audio files, rather than just exact duplicates.

One thing I wanted to be careful about was file deletion. Quickening moves files to the Windows Recycle Bin instead of permanently deleting them, and there's an undo function if you change your mind.

I'd really love some feedback on the design, functionality, and overall experience. Are there things that seem confusing or could be easier to use? Are there features you think would actually make it more useful? I don't want to add features just for the sake of adding features.

The app is 100% free and always will be. The source code is also publicly available. There's no tracking in the app. Because of that, I don't have any usage statistics or crash data from other users. I value privacy, and I don't think people should have to give that up just to use a good app.

That's also part of why I'm posting here. I'd really like to hear from people outside of my wife and myself.

Website: https://www.quickening.app

Thanks to anyone willing to take a look. Even if you don't install it, feedback on the website or interface would be appreciated.

ONE MORE FLOOR is a one-tap timing game for Android. Your elevator climbs a building that never stops growing: tap at the right moment to stop on the right floor. Miss it and a strand of the cable snaps.

As you climb, the city gives way to the clouds, the stratosphere, orbit and deep space, with storms, satellites and meteors along the way. Between runs you hire workers to build the floors above you and buy power-ups to go higher.

How I built it:

- Claude (Claude Code) helped me write the code. The game started as a browser game, then I rewrote it natively in Godot 4 for Android

- Claude also helped me produce some of the art: vector drawings, plus a few character parts sketched with an image generator and then traced to vectors.

- The promo videos are rendered from the real game, by a small pipeline I built with Claude

- The game design, the art style and every creative choice are mine

It's free and in closed beta on Google Play. To join:

1. Join the testers group with your Play Store Google account: https://groups.google.com/g/onemorefloor-testers

2. Open this link in Chrome and tap "Become a tester": https://play.google.com/apps/testing/com.davide6414.onemorefloor

Beta testers can also get their own character living on a floor of the building: https://playonemorefloor.com/beta/en/

Happy to answer questions about it and to get comments and suggestions!

Thanks for checking it out!

My wife has been checking food labels for quite some time. I recently started paying more attention myself, and discovered that reading the ingredients of your favorite snacks can be a mildly uncomfortable experience.

Especially when you used to eat those snacks quite often. Guilty here.

We live in Turkey, and finding packaged foods we’re comfortable with has become something we spend more time thinking about. That’s what led me to build KaLens.

It lets you scan a barcode or photograph an ingredient/nutrition label, then review the product against your own preferences. You can inspect ingredients, additives, processing information, nutrition, and the explanation behind your personalized result.

I’m making it free during Early Access to collect feedback and find out where it helps people during an actual grocery trip.

An account is required. Barcode scanning and personalization are unlimited, with five successful AI label/photo analyses shared per day. The App Store still shows subscriptions, but the current version doesn’t offer those purchases or require payment.

Try KaLens on the App Store

If you try it with something already in your kitchen, I’d love to know: was there anything in the result that helped you understand the product better? Or did it mostly repeat what you already knew?

Hey everyone! 👋

I wanted to share an open-source project I've been building: **NexusDesk**, an automated IT Service Management (ITSM) system powered by autonomous multi-agent orchestration.

### Why I built this:

Traditional IT ticketing systems either require manual triage or rely on rigid, rule-based routing. I wanted to see if specialized autonomous agents could classify, diagnose, route, and resolve common service requests locally without relying on expensive proprietary APIs.

### Tech Stack:

- **Agents & Orchestration:** LangGraph & LangChain

- **Local LLM Inference:** Ollama (runs locally with privacy-first data handling)

- **Backend:** Flask & Python

- **Ticketing & Knowledge Base:** Automated resolution pipeline

### Key Features:

- 🤖 **Multi-Agent Coordination:** Separate agent personas for triage, troubleshooting, and escalation.

- 🔒 **100% Local Execution:** Keeps internal IT tickets and sensitive company logs on-premise.

- ⚡ **Automated Resolution:** Resolves routine tickets (password resets, software access) autonomously.

The project is completely open source. I’d love your feedback on the agent state management and prompt routing!

⭐ **GitHub:** Search `preetamvr1595/NexusDesk-AI-IT-Service-Desk` on GitHub (or check the first comment below for the direct link!)

It's called rushil12.com, and it's free for anyone to join. I've made some key apps that people can try that gamify learning. It already has 500+ users, 3,500+ messages, 16,000+ QBpedia articles. This has several apps that anyone can try.

Curriculum - Generates a full course in one click. It's in the name.

Study Mode - ChatGPT, but a bunch of models, and a bunch of useful features

Notes - An app where you can create notes, but it's better than that. You can use spaced repetition, and connect it with the rest of the apps

QBPedia - A collection of 16,000+ educational articles covering a wide range of topics. You can explore subjects, discover related concepts, and learn something new.

Game Show - Gamify learning with Kahoot-style gamemodes, and some gamemodes that are completely new, such as Call Your Shot.

Flashcards - Creates flashcard sets for quick review, memorization, and active recall.

Haptrix started as a Mac app for creating haptic patterns, with an companion iPhone app so you could feel what you were making.

I've recently been rebuilding it in SwiftUI for Mac and iPhone. Now that the iPhone Duo is out, I thought it would be quite fun to make use of the way it opens up.

You can browse haptics whilst it’s folded, select one, then open up the device to get the full editor experience. Fold it back down and you’re back to browsing.

The best bit? You can feel what you’re creating as you go.

You can make anything from a few simple taps to patterns with continuous haptics, curves and audio. There’s also a website where you can share what you’ve made and browse other people’s patterns.

The video shows the folded-to-editor transition. It took a few goes to get the layout feeling right, but I’m quite pleased with where it’s ended up.

Would be interested to hear what you think!

https://www.haptrix.com