If you hand your laptop to someone for a few minutes, they can still open Messages, Photos, Notes, Mail, WhatsApp, browsers, password managers, and other personal apps. I wanted a way to protect specific applications without constantly locking my entire Mac.

I looked around for solutions, but most were outdated, paid, abandoned, or didn't feel native to macOS.

So I built FaceGate.

FaceGate is a native macOS app that lets you lock individual applications and unlock them using Face Unlock, Touch ID, or a password.

A few things I focused on from day one:

• Everything runs locally on your Mac
• No cloud processing
• No accounts
• No telemetry
• No subscriptions
• Fully open source

Features:

• Face Unlock powered entirely on-device using Apple's Neural Engine - little impact on cpu and gpu resources.
• Fast authentication with very low memory and CPU usage
• Liveness detection to prevent photo and video spoofing attacks
• Touch ID and password fallback
• Per-app unlock timers
• Automatic re-lock on sleep, wake, or screen lock
• Custom schedules for automatic lock/unlock periods
• Tamper protection that prevents FaceGate from being quit, disabled, or uninstalled without authentication
• Runs quietly from the menu bar with minimal system impact.

The entire project is written in Swift and designed specifically for macOS.

This is still actively being developed, and I'd genuinely love feedback from Mac users.

Some questions:

• Is app-level locking something you've wanted on macOS?
• Which apps would you personally lock?
• What security or privacy features would you like to see added?

Website: https://facegate-applocker.vercel.app/

GitHub: https://github.com/dweep-desai/FaceGate-Mac

If you think I did a good job, please feel free to leave a star on my github repo - means a lot to me.

Feedback, feature requests, bug reports, and contributions are all welcome. I'd love to hear what you think.

I've been working on CoinCurrently for almost 6 years at this point. After 4 years I felt really stuck and kind of realized that I won't get much further alone so I made a post on Reddit that I was looking for a designer. I found a guy and once we started revamping the app, we realized that there's so much more we want to do and that requires a better backend. Doing both the iOS and Android app, I figured we need a dedicated guy for backend. The team grew to 3 people. After almost a year and a half, we finally finished revamping the entire app. It's now better looking, easier to use and is faster than ever. Free, no ads, no tracking. It's all on your device. I'm really proud to show the new CoinCurrently to the world.

A: In my opinion, the problem CoinCurrently solves is ease of use. The bigger crypto trackers are so crammed with things and the UI looks very cluttered. We've spent a ton of time to make it as easy to use as possible, everything stored on device, no tracking, no ads, no account

B: I know there's a ton of crypto trackers out there but in my opinion, crypto should be privacy focused. A lot of the bigger apps and websites requires you to sign in to use certain features and they obviously use it for targeted ads. Nothing like that in CoinCurrently.

C: CoinCurrently is freemium. All features are available for free, but you can do more of it with premium. Monthly for $3.99 or annually for $29.99

I would appreciate your feedback so we can continue to make it a better app

iOS: CoinCurrently iOS

I know this is an iOS forum but I'll just throw in the Android and Web link too if anyone prefers those platforms, I hope that's okay.

Android: CoinCurrently Android

Web: CoinCurrently Web

It's been a little over six months since I launched and it has been quite a journey. No exponential growth or huge user spikes but rather slow and steady growth. But in my opinion that is the best for building something actually valuable because you can react to user feedback along the way and constantly keep improving the app.

It's so crazy, just two weeks ago I was celebrating 2,000 users here and now I have hit another unreal milestone of 2,400! I can't thank everyone enough. I really mean it, so many people were offering their help along the way.

Of course I will not stop here and I am already working on the next big update for the platform which will benefit all the community. More is coming soon.

I've built IndieAppCircle, a platform where small app developers can upload their apps and other people can give them feedback in exchange for credits. I grew it by posting about it here on Reddit. It didn't explode or something but I managed to get some slow but steady growth.

For those of you who never heard about IndieAppCircle, it works like this:

• You can earn credits by testing indie apps (fun + you help other makers)
• You can use credits to get your own app tested by real people
• No fake accounts -> all testers are real users
• Test more apps -> earn more credits -> your app will rank higher -> you get more visibility and more testers/users

Since many people suggested it to me in the comments, I have also created a community for IndieAppCircle: r/IndieAppCircle (you can ask questions or just post relevant stuff there).

Currently, there are 2402 users, 1969 tests done and 587 apps uploaded!

You can check it out here (it's totally free): https://www.indieappcircle.com/

I'm glad for any feedback/suggestions/roasts in the comments.

Problem

Windows Search has always felt too limited to me.

It can open apps and sometimes find files, but when I actually want to search my PC properly, it usually falls apart.

I want to search and use features like:

- Text inside files, code, and images

- Browser bookmarks and history

- Clipboard history

- Git commits

- Windows settings

- Local commands

- Local agents for Windows

Windows Search is not powerful enough for this workflow.

So I Built OmniSearch

OmniSearch is a fast, lightweight, local-first Windows launcher that opens with:

"Alt + Space"

You can also set your own custom hotkey.

It gives you one search box for your PC.

Instead of only searching apps or basic file names, OmniSearch can search across:

- Apps

- Files and folders

- Content inside files, supporting 50+ extensions

- Image OCR text

- Browser bookmarks and history

- Clipboard history

- Git commits

- Windows settings and Control Panel pages

It also features an AI agent powered by Hermes and includes a powerful clipboard manager that gives you features no other Windows clipboard manager provides.

The goal is simple: Find everything on your PC from one shortcut.

Why is OmniSearch better than Windows Search and other popular launchers?

- Free and open source

- Local-first

- Lightweight

- Designed to run easily on low-end Windows PCs

- Image OCR text search

- Blazing-fast search of content inside files, supporting 50+ extensions

- Blazing-fast search over centralized PC history, including browser history, Git commit history, clipboard history, and file history

- Hermes agents for local Windows tasks and long autonomous tasks

Links

Free and open source.

GitHub: https://github.com/PranshulSoni/omnisearch

Website: https://omnisearch-windows.vercel.app/

Feedback

I am currently maintaining OmniSearch, and honestly, I cannot find and fix every bug alone because building a launcher like this on Windows is genuinely hard.

I would love feedback from people who use Windows every day.

If OmniSearch solves a problem for you too, please consider leaving a star on GitHub.

If you have ideas, find bugs, or want to improve something, feel free to open an issue or contribute to the project.

Your feedback is always appreciated.

I'm one of the people building Swooni, a relationship app for couples.

We built it because most relationship apps feel either too clinical, too generic, or like homework. Swooni is meant to make relationship growth feel more practical and easier to stick with.

What makes it different:

- Based around the Gottman Magic Ratio and therapy-inspired principles.

- Small daily challenges that help couples stay connected without making it feel heavy.

- Progress, rewards, and a couples community layer that shows in-app actions without exposing private relationship details.

It's not therapy or a magic fix, but it's designed to help couples notice connection patterns and stay more intentional over time.

iOS: https://apps.apple.com/us/app/swooni-relationship-tracker/id6557063166

Android: https://play.google.com/store/apps/details?id=io.honeyroots.app

Would love honest feedback from anyone who tries it.

Hey everyone,

I just launched my first Android app on Google Play and would love honest feedback from other builders.

The app is called Alea. It’s a small calisthenics dice app: one die chooses the exercise, another chooses the reps. The idea is simple: when you don’t know what to train, you roll and start moving.

What it currently has:

- Random bodyweight exercise + reps

- 100-rep workout mode

- Streaks

- Basic stats

- Workout history

- No ads

- No account

- No subscription

I’d love feedback on:

- Is the concept clear?

- Is the Play Store listing convincing?

- Does the app feel too simple, or is that the point?

- What would you add without making it bloated?

- Any UX/UI issues?

Google Play:

https://play.google.com/store/apps/details?id=com.alealabs.alea

Thanks !
This is my first released app, so honest feedback would help a lot.

Hey everyone

After intense developing Simple Stepper Version 1.0.0 is finally here!

... introduced the new feature "vertical distance measurement" to you.

The story behind this feature goes like this: Some of you and from other subreddits asked, if it was possible to include a way, of measuring the vertical distance or something like "elevation steps". My first thought was "Why would somebody even consider using it" ... well after some research and more feedback of runners, walkers and bikers, it turned out, that quite a lot people are interested in such data.

Long story short, I added the feature to the "workout mode" of Simple Stepper, meaning, the user can start a specific workout including GPS and or barometer measurement, if his device offers those. Firstly I integrated the feature in the Android version and now it is finally fully working the iOS version as well.

The screenshots show the overall look and feel of Simple Stepper: MainScreen with active history ring, live-workout with GPS- and barometer tracking, HistoryScreen with workout protocols view, detailed workout view with map, height-profile and splits, HistoryScreen with daily protocols view, ShareScreen and ProfileScreen.

Some might notice in the Screenshot with the height-profile a slight drift in the barometer. This seems to be normal, as the air pressure changes over time. But the results are still closer to actual height changes than measured by GPS. However I could improve the drift a little due to calibration measures.

The main goal behind Simple Stepper:

Track your daily activity

Simple Stepper automatically keeps track of:

• Steps
• Distance
• Calories
• Active Time

Everything is presented in a clean interface with visual progress rings, customizable goals and an optional 24-day history ring to quickly see how consistent you've been.

GPS / Barometer Workout Tracking

Whether you're walking, hiking or running, you can record workouts with detailed GPS and or barometer tracking.

Features include:

• Live route tracking
• Background tracking
• Full workout history
• Detailed maps
• Automatic performance statistics

If you don't need GPS (for example on a treadmill), you can simply disable it and still record your workout.

You now get:

• Detailed workout statistics
• Elevation profile using GPS + barometer data
• Split analysis for every kilometer
• Pace, speed and elevation changes for each split
• Improved performance overview
• Cleaner workout detail screens with smoother navigation

The goal was to provide useful insights without overwhelming the interface.

Long-term progress

Besides individual workouts, Simple Stepper helps you monitor your overall activity over time.

You can view your:

• Daily history
• Workout history
• Personal statistics
• Goal completion
• Activity consistency

Built for everyday use

• Apple Health integration
• Background tracking
• Backup & Restore
• Light & Dark Mode
• Available in English, German, French, Italian, Spanish, Portuguese, Russian, Ukrainian and Chinese

Free to use

Simple Stepper is completely free to use.

An optional subscription removes advertisements if you'd like to support further development.

I'd love your feedback!

I'm continuously improving the app and this subreddit is where I share updates and collect ideas.

I'd especially like to hear your thoughts about:

• the new workout analysis
• GPS accuracy
• the overall UI/UX
• features you'd like to see next

Thanks to everyone who has been testing the app and providing feedback so far!

Simple Stepper on Apple App Store

Hello everyone!

I created this app because I wanted to follow the World Cup in a beautiful interface. I wanted an app that gives you match schedules, live scores, live match events, live stats, insights, group standings, pre-match and live predictions, knockout bracket, widgets, favorite teams and players & more.

I managed to get my app approved by Apple just 1 day before the start of the World Cup, since then I already released 2 updates, so the app now works flawlessly. 

Many functions are free, for the predictions, advanced insights, stats, lineups, advanced notifications there is a one-time IAP for this tournament. 

All the schedules, live scores, group standings, match overview are completely free.

I'd love to know if you like it, suggest improvements or tell me about any other feature you would like to have in the app.

Thanks!

https://apps.apple.com/app/world-football-cup-2026/id6775471221

Builders-welcome post with the substance up front (disclosure: I'm the maintainer). OmniRoute is a free, MIT, self-hosted AI gateway — one OpenAI-compatible endpoint over 237 providers — built around two problems: runs dying on a provider 429, and tokens bleeding on tool/log output.

One endpoint, 237 providers — 90+ of them free. You point any tool or agent at a single OpenAI-compatible endpoint (localhost:20128/v1) and it can reach 237 LLM providers without you rewriting anything. 90+ have free tiers and 11 are free forever (no card), which aggregates to ~1.6B documented free tokens/month — and that's honest, pool-deduped math (we count each shared pool once instead of inflating it; the methodology is public in the repo). There's a one-command setup-* for 13+ coding tools (Claude Code, Codex, Cursor, Cline, Roo, Kilo, Gemini CLI…), so switching your existing setup over takes seconds.

Fallback combos — so it never stops mid-task. A "combo" is a ladder of models the router walks automatically: your subscription first, then API keys, then cheap models, then free ones. When a provider returns a 500 or you hit a rate limit, it slides to the next target in milliseconds, mid-request, and your tool never even sees the error. There are 17 routing strategies (priority, weighted, round-robin, cost-optimized, auto/coding:fast…) plus three resilience layers — a per-provider circuit breaker, a per-key cooldown, and a per-model lockout — so one dead key can't take down a whole provider.

Fusion — an ensemble mode for the hard steps. Beyond simple routing, there's a fusion strategy that fans a single prompt out to a panel of different models in parallel and then has a judge model synthesize one best answer (mixture-of-agents, built in). It's cost-aware, so easy turns stay on one fast model and it only fuses when the step is worth it.

A 10-engine compression pipeline — the part most routers don't have. Every request flows through a transparent compression pass you can toggle/stack per combo. Instead of one trick, it stacks the best of the open-source ecosystem: RTK filters command/tool output (git diffs, test logs, builds) at 60–90%, Microsoft's LLMLingua-2 does ML semantic pruning, Caveman handles prose, session-dedup strips repeats across turns. Critically, code, URLs and JSON are preserved byte-perfect, and a default-on inflation guard throws the compressed version away and sends the original if compressing would actually grow the prompt — it never makes things worse. On tool-heavy sessions that's ~89% average input-token reduction (an 8k-token git diff becomes a few hundred). Full credit to every upstream project (RTK, Caveman, LLMLingua-2, Troglodita) is in the README.

Agent-native — the agent can drive the router itself. There's a built-in MCP server (95 tools across 30 audited scopes, over stdio / SSE / streamable-HTTP), plus A2A (v0.3, JSON-RPC 2.0) support. That means an agent can query providers, switch combos, read its own remaining quota and manage memory through the gateway — not just consume tokens through it.

It's 100% local (zero telemetry, AES-256-GCM at rest), MIT-licensed, has a prompt-injection guard on every LLM route, opt-in memory, and runs on npm, Docker, desktop or your phone via Termux.

For context on whether it's worth your time: it's grown to ~9.8K GitHub stars, 1,490+ forks and 280+ contributors in ~4.5 months, with 21,000+ automated tests and 1,830+ issues closed — so it's a battle-tested project, not a brand-new experiment.

npm install -g omniroute

GitHub: https://github.com/diegosouzapw/OmniRoute · Site: https://omniroute.online

Would value a critique of the routing/compression architecture from this crowd.

Hello guys!

I am the developer of an app called Pixee (https://play.google.com/store/apps/details?id=com.pixee.tv)

Pixee is a slideshow/photo frame app optimized for Android TV, but it works just as fine on your tablet and smartphone. The focus of the app is the look and feel + customizability. You can use local photos, onedrive, dropbox, DLNA, SMB and WebDAV.

I am looking for honest, constructive feedback of people, so I can make this app even better. In exchange, I can give you a free premium license (which is around 8 USD normally).

Drop a comment or send me a chat if you are actually intrested and willing to give feedback 🙏.

Cheers!

Hi, some while ago I created Everlume for the Swift Student Challenge, an app where you can store memories of loved ones. Now, I'm trying to get it to the App Store, but no public launch without carefully testing. You can help me with that, just leave your details on https://tally.so/r/Pdg2XQ (or send me a DM) and I'll add you to the TestFlight group. If you want, you can add a TestFlight link of your own app to the comments field which I will test in return. Thanks!

Hey everyone,

I recently finished MVP 1 of a mobile app I’ve been building called Rooted Bible Trainer. The goal is to help people study and remember the structure, themes, and teachings of the New Testament through simple repetition-based practice.

This first version is intentionally simple. It is mostly focused on proving the core product experience before adding more advanced features.

Right now, the app includes:

• New Testament chapter memory practice
• Review modes for weak/missed areas
• Teachings of Jesus study content
• Parables and attributes study sections
• Simple training flows for recall and repetition
• Saved items, search, and audio content

For MVP 1, I wanted to establish the baseline:
Is this useful? Is the navigation clear? Does the practice flow make sense? Does it feel like something someone would return to?

Future MVPs may include more Duolingo-like elements, such as tasteful animations, streaks, progress loops, sound effects, haptics, and eventually cloud/community features if the product proves useful enough.

I’d really appreciate feedback from other mobile developers on:

1. Usability and navigation
2. Whether the core training loop is clear
3. What feels missing from an MVP standpoint
4. What would make the app feel more polished
5. Any red flags in the product direction

I’m not trying to overbuild too early, so I’m especially interested in what you think should stay simple versus what deserves more investment.

Thanks in advance for any feedback.

App Store link: Rooted | Bible Trainer