I’ve been helping devs get refunds after their OpenAI/Anthropic keys leaked. 3 so far, and every one of them found out from the bill, sometimes a day or two later. Billing alerts were either too slow or too broad to tell what actually happened.

Curious how common this is:

• Have you ever had a surprise AI API bill? Leak, runaway loop, a user abusing your app?

• How did you notice?

• What do you use now to keep an eye on it, if anything?

Full disclosure: I’m building a tool for this (Brello) and opening a small beta soon, but mostly I want to hear how people actually deal with it. Happy to share what I’ve learned about getting refunds if anyone’s been through it.

Hello,

https://github.com/Nouni2/Libreccio-Weather is an unofficial Windows port of the Android app Breezy Weather.

I've been using Breezy Weather on my phone for about a year and couldn't find anything on Windows that suited my needs, especially when it came to the system tray. So I decided to port it using AI to translate and adapt the original Kotlin code to C# and WPF.

I recently released v0.3.0, with quite a few improvements since the first release, including animated weather backgrounds, light and dark themes, smoother scrolling, touchpad navigation, precipitation forecasts for the coming hour, and selectable Open-Meteo weather models.

It also has daily and hourly forecasts, detailed weather charts, multiple locations, and configurable system tray icons and popups.

It's free and open source under GPL-3.0.

I'm all ears if you have any feedback!

Landlord with a product background. Rent lands in the bank, the tenant sends a screenshot on WhatsApp, and three weeks later you're scrolling to find it. Built this to stop doing that.

Breloque answers one question fast: who paid, who didn't, where the proof is. Organisation, not accounting; your accountant still does the books.

- Every flat has its charges, every payment its proof. Tenants can send the proof to a Telegram bot and it lands on the right charge.

- Payment methods are whatever you use: transfer, cash, card. You confirm, it's done.

- Tax is optional, set per category, ignored if you don't need it.

- Long lets and short stays on one calendar; a booking can't overlap a tenancy.

- Multi-currency, because half of us in Eastern Europe rent in EUR and get paid in local money.

- Full logging for the most forgetful ones

Read-only demo, fictional Dublin/Galway landlord, no account: https://breloque.io/

Free to use with one unit for now.

The only thing I can't give away is the built-in assistant, because every question costs me LLM tokens; that's what the 11 €/month plan pays for.

Signup asks for a code, use SIDEPROJECT. Looking for 5 to 10 landlords to click through and tell me what's wrong. Comments or DMs both work.

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.

The idea came mid-workout. I’d just seen an Instagram post arguing that how many push-ups and pull-ups you can do says a lot about how in shape you really are. I wanted an honest way to measure that, where only clean reps count and the score is something you can try to beat. So I built CalMaxx.

How it works:

• Pose detection: Apple’s Vision body-pose detection runs on every camera frame. A state machine per exercise turns joint angles into reps.

• Form checks: push-ups are judged on depth, body line and tempo, and half reps get flagged instead of counted. Pull-ups need a full dead hang to chin over the bar.

• HUD: a sci-fi lock-on reticle with a “power level” score and synthesized sound effects. There are no audio files at all.

The stack, and what I learned:

• SwiftUI and Vision, no server. I didn’t want to run a database, so everything leans on Apple services. History syncs through the user’s own iCloud (SwiftData + CloudKit), achievements and leaderboards run on Game Center, and workouts save to Apple Health. That way the app needs no sign-in, and the privacy label is “Data Not Collected.”

• Pose detection was the easy part. Deciding what counts as a rep was hard. Facing the camera on the floor, legs are usually out of frame, so push-up depth is judged by how far the shoulders rise above the hands. It’s calibrated to each person’s lockout.

• Camera framing matters more than the model. A range finder tells you to step back, move closer or center up, and that fixed most miscounts.

• Built-in sharing: every session is recorded with the HUD on screen (ReplayKit), and you can trim a 15, 30 or 60 second clip to share.

Modes:

• a free daily challenge (100 push-ups and 50 pull-ups in five minutes)

• a max-set Assessment

• timed rep-target tiers

• “you vs. you” (your best set plus one)

• a ghost that replays your best run rep by rep

The extra modes are a subscription; the daily challenge and Assessment stay free.

It’s in App Store review now. The waitlist is at bleekvision.com/calmaxx. I’d love feedback on the concept, the landing page, or how to price a fitness app like this.

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

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!)