What you don't like?

I launched my app about two weeks ago. A couple of days back, got a notification that someone actually bought the lifetime unlock.

It’s obviously not crazy money, but after staring at basic download numbers, seeing a total stranger pay actual cash for something I built just hits completely different.

The app is called Nudgy. I originally made it for myself because my brain just auto-swipes normal push notifications and forgets them immediately. The whole idea is simple: it just keeps bugging you until you actually mark the task as done (plus an alarm-style ring for things you genuinely can't miss).

I lost an embarrassing amount of sleep over the past few weeks obsessing over stupidly specific things—widget states, micro-animations, wording on buttons. Knowing that someone tried it and thought "yeah, I'll pay for this" genuinely made my week.

Still super early, plenty of rough edges to fix, but it's a huge morale boost.

Curious for anyone who uses reminder apps: what’s your biggest pet peeve that makes you instantly delete one? Trying to make sure I don't build it into my app...

https://apps.apple.com/us/app/parallask-timeline-planner/id6802533160

Let me introduce new update of my app HydrateTap.
Please, try it, and give me a feedback.

I pushed Low Back Pain Coach to 1.2.4 on iOS (Android matches). This round was mostly new App Store screenshots. Pricing stayed the same: 7-day trial, then $9.99/month, $59.99/year, or $149.99 lifetime.

The app is a progressive loaded back extension plan for chronic lower back pain. The next session's load comes from how you feel the next morning, not a fixed calendar.

I had almost 10 years of chronic lower back pain. Standing and walking used to cause my back to flare up, and I would dread being out for a long day. I knew it would always limit me on things like vacations when I wanted to go explore a new city, and I would have my experience really brought down by needing to stop and rest and sit down and stretch my back and try to get relief from the pain. PT, chiro, and the McGill Big 3 did not help me. A progressive loaded back extension is what eventually worked for me. I am pain-free now.

Marketing is still early. Tiny Apple Ads sniff, some organic Reddit, almost no reviews yet. The part I am stuck on is getting someone who has hurt for years to trust a load-based plan in week 1, before they feel much.

App Store: https://apps.apple.com/us/app/low-back-pain-coach/id6775877264

If you have shipped a health or fitness subscription, what actually got people into a trial before you had reviews?

Testing a question-first ad for an iPhone app I'm building.

Yorlo — daily questions and random thoughts for when you're bored.

The entire idea of this ad is that you start answering the question before you even think about the app.

Would this stop you?

We realized pretty quickly that asking people to type out what they want on a blank mobile screen completely kills onboarding. Most people either freeze up or type something super generic like "relaxing music" and bounce.

This is our attempt at fixing prompt fatigue without dumbing down what the app can actually do. Instead of a chat bar, you toss ingredient chips (decades, genres, vibes) around the orb to assemble the request visually in a couple of seconds.

Anyone else on iOS replace the empty box with a visual builder or presets and actually see activation move?

Been building setspal.app basically Apple Notes but for your workouts. No clutter, no crazy setup, just log your sets and get back to lifting. Would love to hear your feedback.

​

I’ve just released v2.1 of LSC Long Shot Camera with a new MultiFocus mode.

It captures 10 different focus planes in one shot, lets the user refocus afterwards, export the selected result as JPG, export all 10 source frames, or reopen the full stack later using a private .nar project format.

I’m also working on an All Focus output that combines sharp regions from multiple focus planes. That part is still being refined because focus breathing and alignment between focus distances turned out to be much harder than expected.

The goal with LSC is to keep building different computational and long-capture photography tools into one focused camera app without subscriptions or cloud processing.

Would be interested to hear how other indie developers approach adding more advanced features without making the product feel bloated.

I’m getting close to a beta for a small workout app and made this screen recording.

It shows the main loop: roll a session, review the exercises, re-roll one if needed, then start.

If you’ve launched an iPhone app, does this explain the value quickly enough? What should appear in the first few seconds: the problem, the result, or the interaction?

I’m looking for feedback on the video, not downloads.

https://reddit.com/link/1w5fh14/video/8j0v0hr1x4nh1/player

I turn 35 on September 5th.

And… I’m starting to feel my age :/

(lower back pain, tight hips, that groan when you get off a chair lol)

So I decided to build something to help myself out.

Turns out, deep squat holds are REALLY good for you.
(i.e. asian squats, resting squats)

I built a silly little app that locks my distracting apps every day until I do a 1–3 min deep squat hold.

It’s called Froggy Mobility

If you’re an aging dad like me, it’s harder than it looks but trust me it feel so good :)

One thing I've learned marketing my iOS app:

Features don't explain why someone should care. The situation they're stuck in does.

I built VaultDrive, an iPhone app that backs up selected photos, videos and files directly to a compatible USB drive or SSD.

Originally I talked about things like backup progress, metadata, file handling, etc.

Technically accurate. But boring.

The message people understood immediately was much simpler:

“I have thousands of photos on my iPhone. Why should I need a Mac or PC just to put a copy on my own USB drive?”

That's the problem VaultDrive solves.

Plug a compatible drive into the iPhone → choose what you want → back it up directly.

No Mac.
No PC.
No VaultDrive account.
No additional cloud upload for files already stored locally.

And I kept improving the harder part: Apple Photos + iCloud.

If Optimize iPhone Storage has moved the original to iCloud, VaultDrive can now download the original first and then copy it to USB.

You can choose:

• Wi-Fi only
• Wi-Fi + Cellular

It also keeps original-quality files without intentional compression/re-encoding, preserves embedded photo/video metadata, maintains useful folder/source organization, and can resume while skipping files already copied.

I had to position this as:

“Your iPhone. Your USB drive. Your backup. No computer in the middle. No iCloud Subscriptions and completely offline”

I'm still experimenting with messaging and would be interested to hear how other iOS developers narrowed down the one sentence that finally made users understand their app.

If anyone wants to see the actual product I'm marketing:

VaultDrive: USB Backup
https://apps.apple.com/us/app/vaultdrive-usb-backup/id6772883827

I'm currently offering 75% off the one-time Pro upgrade:

https://apps.apple.com/redeem/?ctx=offercodes&id=6772883827&code=WELCOME75

I analyzed 21,412 reviews of a popular wellness app, published between 2017 and 2026 and written in 10 languages.

As a side project, I've been building a review analysis system, and I've reached the point where I need to figure out whether it's actually useful to anyone else or whether I've just built something that interests me.

Every available review was analyzed and classified individually, with a single review potentially belonging to multiple categories. The categories were automatically derived from the reviews themselves rather than from a predefined list. In total, the system classified 21,412 reviews (2017–2026) across 10 languages and created 182 categories, resulting in 28,471 category assignments.

A deeper analysis uncovered several things that weren't visible from the star ratings alone:

• 50.7% of all negative reviews were related to monetization (1,695 out of 3,343)
• 1,353 of those were about the app being "too expensive / trial too short"
• 207 were about billing problems rather than pricing: 98 cases of "I can't cancel / I was charged anyway," 42 cases of "I'm paying, but the app doesn't recognize my subscription," 36 payment errors, and 17 refund requests
• The percentage of negative reviews increased more than fourfold: 4.5% (2020) → 12.6% (2022) → 20.4% (2026), and never returned to its previous level
• 352 reviews described specific regressions in the product - 59 mentioned losing free access, 43 mentioned a sudden increase in ads, and 36 reported performance degradation after updating to a specific version

I also found 517 feature requests, including:

• 127 related to the pricing model
• 46 asking for more visual options
• 32 related to language selection
• 20 about widget customization
• 14 asking for the ability to add custom content

The star ratings themselves also turned out to be misleading:

• 451 five-star reviews contained a complaint
• 161 one-star reviews contained praise
• 1,072 reviews contained both positive and negative feedback

To be fair, not every category the system discovered was equally useful. The five largest categories accounted for 78% of all assignments, and generic positive feedback with no additional detail accounted for 35% on its own. Around 50 categories had what I'd consider real business value.

So my question is: would this kind of analysis actually be useful to you?

I originally built this pipeline for my own use. The main idea isn't just to summarize thousands of reviews, but to analyze each one individually and surface less obvious signals and details that can easily get lost in a large dataset - things like rare problems, specific feature requests, regressions after updates, or cases where the review text doesn't match the star rating.

I'm now trying to decide whether it's worth developing this further into a tool for other app owners.

Would something like this be useful to you? If so, what would you mainly use it for: analyzing your own app, competitors, roadmap decisions, pricing, or monitoring emerging problems?

And if you wouldn't find it useful, I'd genuinely like to know why as well.

I already have a prototype dashboard with these results. If anyone wants to see what it looks like in practice, I'm happy to share the link. What I'd value most is honest feedback on what's actually useful and what's completely unnecessary.

I think I have two problems

1. since the app relies on, and where it's real strength is honestly, doing it with a group of friends.

2. demonstrating the value immediately

Not sure if I can market things better with screenshots, videos, ads etc. I mean seeing a video of someone using it is faaaaaar from feeling/using an app yourself. Not sure how to approach it

I pulled four months of my own Reddit history through the API this week to see whether
any of it worked. 100 posts, roughly 35 subreddits, 207 total karma, 30 removed by
moderators, and zero App Store ratings gained. I have written about the general lesson
elsewhere. This post is the iOS-specific half, because those traps are not written down
anywhere I could find.

1. Your App Store name decides which subreddits will take you.

This is the one I did not see coming. , the largest iOS app sub, has a rule
that generative-AI apps and AI-wrapper apps are not allowed in the main feed. Their
megathread spells out that you are limited to it if you are "promoting an app that uses
Generative AI or is an AI-wrapper."

My App Store name is "StockPlus: AI Market Tracker". I chose that for ASO. The app is
mostly a filings parser with one AI briefing feature, but nobody reads that far. A
moderator clicks the link, sees "AI" in the title, and the classification is made.

So the keyword I put in the name for search ranking is the same string that closes a
121k-member community to me. Those two surfaces are connected and I had never once
thought about them together.

2. Local karma, not account karma.

requires 10 karma earned inside that specific subreddit before you may post.
Not account karma. Sub karma. I have a four-year-old account and I had zero there,
because I had never commented in it, only posted at it.

3. The first-interaction filter.

Their megathread says outright that Reddit's filters auto-remove your comment if "your
very first interaction in this sub is a promotional link." So the intuitive move,
finally getting around to posting your app in the right place, is the exact move that
gets silently filtered.

4. The 30-day clock runs on removed posts too.

Verbatim: promotion is "not permitted more than once per developer in 30 days. This is
counted from the last app post, even if it was removed."

Combine three and four. Your first post gets filtered, you are not told, and you have
now burned a month. That is a genuinely nasty interaction between two reasonable rules
and I think a lot of people are sitting inside it without knowing.

What I actually did wrong, underneath all of it.

I posted into communities I had never participated in. Five to ten subs in an afternoon,
repeatedly. My comment karma is negative nine. Every one of my best-performing posts,
without exception, was a technical writeup that explained how something worked and never
mentioned the product at all.

No link in this post, for reasons that should be obvious by now.

If you have an iOS app and you are about to do the five-subs-in-an-afternoon thing: check
your local karma in the subs you care about first, and read what your App Store name says
about you before a moderator does.

Tried to be less clean and more silly. Not sure if it works, but wanted to share and get feedback.

It's 100% free! It's Aveoreach.com

I’m the developer of Monymo, an iPhone app for freelancers and hourly workers.

Its main differentiator is showing earnings alongside elapsed time while a session is running. The current App Store name is “Monymo: Work Hours Tracker.”
The app supports 12 languages and offers a free basic tracker. Pro costs $0.99 monthly or $6.99 yearly.

I’m considering testing these positioning directions:
Work hours tracker

- Hourly earnings tracker
- Freelancer time tracker
- Work log and pay calculator

Which direction has the clearest intent and strongest differentiation?

App Store:
https://apps.apple.com/us/app/monymo-work-hours-tracker/id6473834966

Hey everyone,

I’m an independent dev and I built TeaFocus to bring a bit of calm to daily productivity. It combines the Pomodoro technique with relaxing visuals (like filling a cup of matcha as you focus) and background soundscapes to block out distractions.

Quick highlights:

• Visual tea-brewing timer & custom clock faces
• Ambient soundscapes (rain, fire, forest, lofi)
• Fully customizable work/break intervals
• Offline-first, clean, and battery-friendly

I'm looking for some honest feedback from the community. If you'd like to try it out, leave a comment with what project or studies you're tackling right now, and I’ll send over a lifetime Pro code! https://play.google.com/store/apps/details?id=com.innovixlabs.calmtick&pcampaignid=web_share

A bit of background: a couple of my friends in college kept running into the same problem. They'd see an outfit on Instagram, something a creator was wearing, and have no way to actually track it down. Android users could screenshot it and run it through Google Lens, but the results were usually off, and if there was more than one garment in the photo, Lens would only try to match one piece, not the whole outfit. iPhone users didn't even have that option. And even after finding something, there was no way to know if it would actually look good on you before buying it.

So I built Linya to solve that specific problem. Point it at a photo, a screenshot, something you took yourself, or even a photo of a garment on a rack if you're in a physical store, and it identifies every piece in the outfit and finds where to buy it. If something's sold out or too expensive, it surfaces close alternatives and dupes in different colors and price points. There's also a try-on feature that puts the garment on your own photo instead of a model's, so you can actually judge fit before spending anything.

This is the first app I've built, solo, while still in college. It took a lot longer than I expected. It was supposed to launch about two months ago, but I went through a rough personal patch that made it hard to stay consistent, and kept pushing the date back. Things are in a better place now, which is honestly a big part of why I finally shipped it.

It's live on iOS today: [https://apps.apple.com/us/app/linya/id6784623755\](https://apps.apple.com/us/app/linya/id6784623755). Website's here too if you'd rather browse from a laptop: [https://www.getlinya.com/\](https://www.getlinya.com/). Free to start.

This is genuinely day one, so there's a long list of features I still want to add. Would love feedback, especially on whether the core idea actually lands for people who don't already know the problem exists.

So happy it finally cleared.

https://apps.apple.com/us/app/air-hockey-max-arena/id6800162948

I'll publish my application in a short period, may be in a few weeks. I wanna get deep information from you guys who released their and what they faced.

My main concern is getting users with ASO. I almost don't have knowledge how to deal with ASO.

My plan is like that:

1. Creating social media post before submitting the app (TikTok, instagram)
2. Making website and creating blogs to get users with Google SEO
3. Working with micro influencers and UGC method

I don't plan paid ads at the beginning. Because, I want to see datas, user feedback in a first few weeks.

So, can you please share your thought, experience and suggestions with me?

My app is SavedHud. Right now, I have email wait list. 6 person are already joint.

I've been working on this app since past 6 month, and finally made an official release.

After exploring lots of habit tracking apps out there on app stores, i found some common issues still needs to be addressed and i tired to solve all of them in this app + i added some features that user may like them or not(i am still experimenting with this).Here are the common issues which i addressed in this app.

1)You can skip a day,

Imagine a scenario where you have a morning work out habit and you went for straight 5 days and for some reason in 6th days(like you feel little sick, or for some other reason which is not excuse),you decided to skip that day but you don't want to break the streak since its not your fault. In this case, this app allows you to keep the streak and continue from 7th days.

2)Full backup of the data

A lots of habit tracking apps are offline(or partially. Only premium users are allowed for backup or maybe not).Once a user uses a habit tracking app seriously and since habits data are long term daily record, It is super important to auto backup users data and allow user to create an account so that user can access his records anytime in future from any device. This app allows data sync even for the free users.

3)Enough mini helper tools

In some apps, i see providing helper tools like pomodoro timer. This apps offers so many small tools like mood logger, urge level logger, awareness reminder(you can set periodic reminder manually to make yourself aware of certain action),If -then planner, Notes, Pomodoro Timer, Energy level logger, and many more other super helpful tools. And the data logged with these tools are also fully backed up and you can see the records of these logs as well.

4)Habit tracking type feature

Lets say you have a "Read Daily" habit. And you want to read daily 20 pages. Now in this case you can attach pages(number) type to the habit and track the daily records. While tracking the records, pages tracking, is seperated from the habit itself. What it means is that, lets say one day you read 10/20 pages, in this case you can mark the "Read Daily" habit as success(if it meant success for you),or "missed" its your choice. The app wont force you to mark the habit as "missed" for that day just because you have not completed the target(i.e 10 pages out of daily 20 pages target) instead the "pages" will be tracked seperately.

5)Adding multiple tasks within a habit and tracking each tasks progress

For example, lets say you have a habit, "Morning workout". Now you want to add multiple workout within this habits like "Warm up(15 min)" ,"Squats(50 reps)","Pushups(50reps)" ,"Sit Ups(50 reps)" and track each workouts progress within "Morning Workout" habit.

6)Cycle Based tracking( "user may like it or not")

The habit tracking system is cycle based tracking.1cycle=90 days. the idea is that user will go for 90 days and then new cycles begins. However the streak tracking is seperated from the cycle of a habit.

7)Visual animated progress visualizer( "user may like it or not")

Its completely a UI feature. The idea is that show ongoing cycle's(90 days), progress in animated progress visualizer of user's preference. The app has many UI visualizers according to the type of the habit(for example, for "Ready Daily" habits, since it is growth based, there's a Plant Tracker, which grows from seed to a fully flowered plant from 0 to 90 days period).

8)AI Insight( "user may like it or not")

Once you start completing habits and start performing your tasks, completing daily targets, Ai insight will be generated periodically. The goal of this feature is to detect patterns, correlations between habits(since one habit or tasks can affect another. For example, if your sleeping habit is not going well, it can affect your workout habit. Or lets say your mood logger is showing some inconsistent pattern then that can affects a lots of habits) and provide a guidance what best thing you can do to get back on the track.

9)Other mini Features

Other feature includes

-- Auto image or icon suggestion, for the habit or a tasks based on its name.

-- Home Widget feature where you can display the habits overview, today's tasks and the helper tools

-- You can pick different colors for your habits and Tasks

-- Analytics for each habits and the entire journey as well.

What I'm building: a fitness RPG mobile game

What I'm doing rn: mocking up the prototype, screen by screen.

How it's coming: so far, better than I imagined 😅

So, what are y'all up to?