r/SideProject

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Developing an app is hard. But there is something harder: Promotion. There are ways to promote. But it takes time to learn. It will take time to learn... 

Here is my app:

https://play.google.com/store/apps/details?id=com.mindjournal.app

This is our first app.

It took two months for us to develop.

We used Cursor AI.

It's a journaling app with AI support.

We had to buy MacBook Air and iPhone 16e for developing the app for App Store side. It was the biggest expense. 

Hope it turns out well. Thank you. 

Edit: After several tests, it has become clear that the app is available in the USA and the page does not open in the EU. However, you can search for and download the app from the list in the EU, but you cannot click on it. Thanks to everyone.

Hi everyone,

I’m hoping someone here has experienced this before.

I recently launched my very first iOS app. The app was approved by Apple and the status in App Store Connect is currently “Ready for Distribution”.
For the first few hours after release, everything worked perfectly:
The App Store page loaded normally.
Users could open the product page.
The app could be downloaded.
However, a few hours later, the App Store page suddenly stopped working on all iPhones.
When users tap the app in the App Store, they either get:

“This app is currently not available in your country or region”

or

“The page could not be loaded. Please try again.”

Things I’ve already verified:
App status is “Ready for Distribution”.
Distribution method is Public.
The app is available in 175 countries, including Belgium.
No pre-order is enabled.
No changes were made after release.
The App Store URL exists.
“View on App Store” from App Store Connect opens correctly.

Example App Store link:
https://apps.apple.com/us/app/elsy-shared-collections/id6773616091

I’ve already contacted Apple Developer Support, but haven’t received a response yet.
Has anyone experienced something similar? Could this be an App Store propagation issue or some hidden regional/storefront problem?

Thanks a lot!

Every Sudoku app I tried had ads, popups, or some streak thing nagging me to come back. So I made my own.

It's called Calm Sudoku. Free daily puzzle plus 30 to start, and if you like it there's a one-time unlock for the full set (300 puzzles, three difficulties). No subscription, no ads, no accounts, works offline.

All the normal stuff (notes, undo, check, reveal, history) is free. I'm not paywalling how you play, just how many puzzles you get.

Made it mostly for myself, but figured some of you might want the same thing. Would love to hear what you think! 🙂

Calm Sudoku on the iOS App Store

I've been trying to learn Japanese for ~2 years or so, primarily on Duolingo (streak of 500+ days!). I realized that I honestly wasn't learning anything. Every time I tried to write something from scratch instead of just tapping tiles, I couldn't.

So I built Shinme! It's a from-zero course which focuses on developing actual Japanese writing skills. Each lesson comes with its own vocab and grammar content. In order to completing each lesson, users need to complete a set number of translation exercises which are graded.

Shinme fully supports custom deck/card management too, so learners can import what they already know. Exercises are generated dynamically, so that exercises are tailored to what the user already knows.

The first six lessons are out right now!

It's in beta right now and the costs are on me, so there are some usage limits while I keep the AI costs sane. I would love feedback: what is confusing, what broke.

https://shinme.app/

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 Murmur, a local text-to-speech app for Apple Silicon Macs.

The new feature I’m building is called Projects / Story Studio, and it solves a problem I kept running into:

TTS tools are fine for one-off clips, but messy for actual audio projects.

If you’re making a podcast segment, audiobook chapter, course lesson, ad, or game dialogue, you usually need multiple speakers, multiple takes, pauses, reactions, music, edits, exports, and a way to come back to the project later.

So I built a project-based workflow:

Write a script → assign voices → generate dialogue → edit clips on a timeline → add music/SFX → export final audio.

It supports things like:

• multiple scripts inside one project
• Host / Guest / Narrator / Character speakers
• inline tags like [pause], [laugh], [chuckle]
• per-block regeneration
• timeline editing with waveforms
• media lane for music and SFX
• ripple editing and gap tools
• WAV/M4A export
• transcript and stem export

Everything runs locally on Mac, so long scripts and voice samples do not need to be uploaded to a cloud service.

I’m still polishing the workflow and would love feedback from Mac users, especially people who make podcasts, audiobooks, courses, YouTube narration, or game dialogue.

Check it out here - no sign-up needed: https://typocalypse.florianrudaj.com/

It's a little project I've had fun working on this weekend. If it sparks any interest I will continue working on it. Feedback is very welcome :)

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.

I went down a rabbit hole reading SEO threads where founders were panicking that their React/Lovable/Vite sites weren't ranking. The usual advice is "JavaScript sites are invisible to Google, you need SSR." So I started pulling the raw HTML (what a crawler sees before any JavaScript runs) for a bunch of real sites people posted.

Here's what actually surprised me: almost none of them had the "empty page" problem everyone fears. Lovable prerenders now. Next.js sites render server-side. The old "Google can't see my React app" panic is mostly solved. Their content was right there in the HTML.

But there was a different problem hiding underneath, and almost nobody was talking about it: none of them were set up to be seen or cited by AI search. No idea whether GPTBot, ClaudeBot, PerplexityBot or Gemini were even crawling them. No structured data for an AI to quote cleanly. No comparison/answer content for the questions people now type straight into ChatGPT. Their Google SEO was fine — and they were completely invisible in the place buyers are increasingly starting.

That's the gap I think most founders are quietly losing right now. Everyone's still optimizing for the ten blue links while a chunk of their buyers ask an AI "what's the best tool for X" and get handed three competitors — never them.

So I built RenderlySEO to make that visible. It replays exactly what each crawler (Google and the AI engines) received for every URL, shows which AI bots actually fetched your pages, tracks who they cite for your topics, and gives you a prioritized fix list instead of 200 generic warnings. Built specifically for JS stacks — Lovable, React, Next, Vite, Bolt, Replit.

The core idea: stop guessing what Google and AI "probably" see, and just look at what they actually received.

Would love feedback from people building JS-heavy or AI-generated sites — especially: is AI visibility something you're thinking about yet, or still 100% focused on Google?

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Classic Outlook is entering its long sunset phase, while Thunderbird is becoming much more relevant again for organizations looking for open, sovereign alternatives.

For the Nextcloud ecosystem, this is a strategic opportunity.

Many organizations will not just ask:

“Which mail client replaces Outlook?”

They will ask:

“How do we keep file sharing, meetings, attachments and daily collaboration workflows under our own control?”

That is exactly where Nextcloud + Thunderbird can become a strong open-source stack.

With NC Connector, ( https://addons.thunderbird.net/de/thunderbird/addon/nc4tb ) I’m trying to close one of the practical gaps:

Nextcloud Talk meetings, secure file shares, attachment automation and centrally managed email signatures directly inside Thunderbird.

Not as a separate browser workflow, but where users actually work: in mail and calendar.

I think there is a bigger story here:

“Nextcloud + Thunderbird: the sovereign open-source mail stack.”

What does Thunderbird’s renewed momentum mean for Nextcloud users?

And how can the ecosystem make the move away from Outlook Classic easier for organizations that want control over their data?

ran the numbers on my two reolinks after filtering everything for about 3 months.

20,829 motion events total across both cameras.

front door: person 2,256 · animal 676 · vehicle 757 · nothing 7,112

back door: person 721 · animal 646 · vehicle 0 · nothing 8,661

so out of ~20,800 events, around 5,050 actually contained something worth knowing about.

the other 76% was wind, shadows, light changes, insects, the usual.

alarm delay and detection zones help trim some of it — someone pointed that out on my last post and they're right.

but they never touched the volume the way filtering on the snapshot level did.

the wild part isn't the person/vehicle counts.

it's the "nothing" pile.

most of every alert my cameras ever sent was basically a tree moving, a cloud passing, changing light, or something flying close to the lens.

i ended up building a filter that does this automatically — it checks the snapshot before anything hits my phone and only forwards alerts that actually contain a person, vehicle, or animal.

it's my own project, guardian.camera, if anyone else is dealing with the same thing.

Hi everyone,

I'm a 19-year-old engineering student and over the last year I've been building Revast.

Most AI study tools focus on generating notes, flashcards, or summaries.

After talking to students, I realized the bigger problem was that students often don't know:

• Which topics they're weak at
• Whether they're improving
• If they're actually ready for an exam

So I rebuilt Revast into a learning workspace.

Students upload their course material and get:

• Topic-by-topic notes

• Flashcards

• Practice quizzes

• Mock exams

• An AI tutor

• Progress tracking across the entire course

The goal is to help students learn, test themselves, and track mastery in one place rather than jumping between multiple apps.

I'd love feedback on the product, onboarding, or overall concept.

https://revast.xyz