u/alion94

I’m looking to hire someone with real, hands-on experience growing iOS apps through App Store Optimization.

The product itself has already been validated. It gained traction organically through Reddit, and paid ads are consistently generating downloads, subscriptions, and revenue. At this point, however, nearly all of our ongoing traffic is coming from ads. We know the demand exists, but we have not been able to turn that demand into meaningful organic App Store discovery.

I’m looking for someone who understands keyword research, rankings, title and subtitle strategy, the keyword field, screenshots, product-page conversion, localization, and ongoing testing. More importantly, I want someone who has actually produced measurable results for other iOS apps.

This is a paid opportunity. I’m open to working with an experienced freelancer, consultant, or small team. I’m not looking for a generic automated audit or a list of obvious recommendations.

For anyone who has not seen my previous posts, I have been a cop for 11 years, and software development is my side hobby.

I built an app called LOC8 because of a problem most officers understand. Sometimes you get turned around and need your exact address, nearest cross street, or coordinates immediately.

LOC8 originally launched for iPhone and Apple Watch, but one of the most requested additions has been Garmin support.

The Garmin version is now built and has been submitted to the Garmin Connect IQ Store.

It is a completely separate standalone app. It does not require an iPhone, Apple Watch, or the original iOS version of LOC8. Users can open it directly on a compatible Garmin watch and view their current address, nearest cross street, latitude and longitude, and compass heading from their wrist.

I do want to be completely transparent about one thing.
I have not been able to physically test the app on an actual Garmin watch yet. Development and testing were completed through Garmin’s official simulator, where everything has been working flawlessly. Real hardware can sometimes behave differently, though, so there may be issues I have not encountered yet.

If anyone runs into a problem, please send me an email with the watch model and what happened. I will investigate it and push out an update as soon as I can get to it.

I am a solo developer and handle all of this myself. I am currently managing the iPhone app, Apple Watch app, and Garmin app, with Android becoming the fourth platform.
Please bear with me and stick with me as everything continues growing. I may not catch every issue immediately, but I will always keep working on updates and fixing problems as they are brought to my attention.

The next major push is Android support. That has also been one of the most requested additions, and development on that platform is next.

The original iPhone and Apple Watch versions are still being actively developed as well. LOC8 was built with cops in mind and gives users fast access to their current address, nearest cross street, GPS coordinates, heading, accuracy, elevation, what3words location code, saved locations, Team Rooms, weather, and a red night mode designed around the interior lighting commonly used in patrol vehicles.

I appreciate everyone who has followed the development, tested the app, reported issues, or suggested features. A lot of what LOC8 has become came directly from feedback in communities like this one.

Looking for input from people who’ve managed a winner through fatigue. Here’s the full arc of my main ad, which I’ll call Ad #1.

The setup is a single campaign, single ad set, running to a niche audience that’s small, specific, and high intent, and honestly the niche targeting is a big part of why it works. It’s static image creative and I started it at $30 a day. Week one was rough. CPL sat around $0.50, CTR was about 6 to 7 percent, and it had that classic learning phase feel where delivery was inconsistent and I wasn’t sure it would work at all.

Then weeks two and three happened. Once it exited learning it took off. CPL dropped from $0.50 to $0.30 and eventually to $0.22 on the best days. CTR climbed past 8 percent and peaked over 10 percent, and CPC fell to around $0.12. The single best decision I made was to stop touching it and let it run. My best days were hitting 100 to 140 leads at $0.22 to $0.25 CPL. Over weeks four to six I raised the budget in steps as it held, and I’m now running about $150 a day across the structure, roughly 4,000 leads total at about $0.31 lifetime CPL. Frequency stayed healthy the whole way, in the 1.5 to 2.3 range, so I never saturated the audience.

Now I’m at week eight plus and fatigue is finally showing. The same creative has been running about eight weeks, blended CPL has drifted from $0.31 up to around $0.49, and CTR has eased from those 8 to 10 percent peaks down to about 5.5 percent. Frequency is still fine at around 1.3, so this reads like creative fatigue rather than audience burnout. The ad has just been seen too many times.

So here’s my question. What’s the right move from here? I keep going back and forth. One option is to duplicate the campaign and pause the old one, which gives me a fresh start but throws away all the learning phase optimization I spent weeks building. Another is to duplicate the campaign and add new creative, but then I’ve got duplicates on the same niche audience competing in the same auction. A third is to just leave duplicate campaigns running at the same time, which feels like bidding against myself. And the last is to simply refresh the winning ad with the same layout but new background imagery, which is the lowest effort and keeps the proven concept, and might be enough to reset the fatigue on its own.

For a small niche audience specifically, what actually works here? Is a background swap enough to reset creative fatigue, or does the algorithm really need a genuinely new ad? And is duplicating ever worth losing the learning you’ve built?

Looking for input from people who’ve managed a winner through fatigue. Here’s the full arc of my main ad, which I’ll call Ad #1.

The setup is a single campaign, single ad set, running to a niche audience that’s small, specific, and high intent, and honestly the niche targeting is a big part of why it works. It’s static image creative and I started it at $30 a day. Week one was rough. CPL sat around $0.50, CTR was about 6 to 7 percent, and it had that classic learning phase feel where delivery was inconsistent and I wasn’t sure it would work at all.

Then weeks two and three happened. Once it exited learning it took off. CPL dropped from $0.50 to $0.30 and eventually to $0.22 on the best days. CTR climbed past 8 percent and peaked over 10 percent, and CPC fell to around $0.12. The single best decision I made was to stop touching it and let it run. My best days were hitting 100 to 140 leads at $0.22 to $0.25 CPL. Over weeks four to six I raised the budget in steps as it held, and I’m now running about $150 a day across the structure, roughly 4,000 leads total at about $0.31 lifetime CPL. Frequency stayed healthy the whole way, in the 1.5 to 2.3 range, so I never saturated the audience.

Now I’m at week eight plus and fatigue is finally showing. The same creative has been running about eight weeks, blended CPL has drifted from $0.31 up to around $0.49, and CTR has eased from those 8 to 10 percent peaks down to about 5.5 percent. Frequency is still fine at around 1.3, so this reads like creative fatigue rather than audience burnout. The ad has just been seen too many times.

So here’s my question. What’s the right move from here? I keep going back and forth. One option is to duplicate the campaign and pause the old one, which gives me a fresh start but throws away all the learning phase optimization I spent weeks building. Another is to duplicate the campaign and add new creative, but then I’ve got duplicates on the same niche audience competing in the same auction. A third is to just leave duplicate campaigns running at the same time, which feels like bidding against myself. And the last is to simply refresh the winning ad with the same layout but new background imagery, which is the lowest effort and keeps the proven concept, and might be enough to reset the fatigue on its own.

For a small niche audience specifically, what actually works here? Is a background swap enough to reset creative fatigue, or does the algorithm really need a genuinely new ad? And is duplicating ever worth losing the learning you’ve built?

Looking for input from people who’ve managed a winner through fatigue. Here’s the full arc of my main ad, which I’ll call Ad #1.

The setup is a single campaign, single ad set, running to a niche audience that’s small, specific, and high intent, and honestly the niche targeting is a big part of why it works. It’s static image creative and I started it at $30 a day. Week one was rough. CPL sat around $0.50, CTR was about 6 to 7 percent, and it had that classic learning phase feel where delivery was inconsistent and I wasn’t sure it would work at all.

Then weeks two and three happened. Once it exited learning it took off. CPL dropped from $0.50 to $0.30 and eventually to $0.22 on the best days. CTR climbed past 8 percent and peaked over 10 percent, and CPC fell to around $0.12. The single best decision I made was to stop touching it and let it run. My best days were hitting 100 to 140 leads at $0.22 to $0.25 CPL. Over weeks four to six I raised the budget in steps as it held, and I’m now running about $150 a day across the structure, roughly 4,000 leads total at about $0.31 lifetime CPL. Frequency stayed healthy the whole way, in the 1.5 to 2.3 range, so I never saturated the audience.

Now I’m at week eight plus and fatigue is finally showing. The same creative has been running about eight weeks, blended CPL has drifted from $0.31 up to around $0.49, and CTR has eased from those 8 to 10 percent peaks down to about 5.5 percent. Frequency is still fine at around 1.3, so this reads like creative fatigue rather than audience burnout. The ad has just been seen too many times.

So here’s my question. What’s the right move from here? I keep going back and forth. One option is to duplicate the campaign and pause the old one, which gives me a fresh start but throws away all the learning phase optimization I spent weeks building. Another is to duplicate the campaign and add new creative, but then I’ve got duplicates on the same niche audience competing in the same auction. A third is to just leave duplicate campaigns running at the same time, which feels like bidding against myself. And the last is to simply refresh the winning ad with the same layout but new background imagery, which is the lowest effort and keeps the proven concept, and might be enough to reset the fatigue on its own.

For a small niche audience specifically, what actually works here? Is a background swap enough to reset creative fatigue, or does the algorithm really need a genuinely new ad? And is duplicating ever worth losing the learning you’ve built?

Looking for input from people who’ve managed a winner through fatigue. Here’s the full arc of my main ad, which I’ll call Ad #1.

The setup is a single campaign, single ad set, running to a niche audience that’s small, specific, and high intent, and honestly the niche targeting is a big part of why it works. It’s static image creative and I started it at $30 a day. Week one was rough. CPL sat around $0.50, CTR was about 6 to 7 percent, and it had that classic learning phase feel where delivery was inconsistent and I wasn’t sure it would work at all.

Then weeks two and three happened. Once it exited learning it took off. CPL dropped from $0.50 to $0.30 and eventually to $0.22 on the best days. CTR climbed past 8 percent and peaked over 10 percent, and CPC fell to around $0.12. The single best decision I made was to stop touching it and let it run. My best days were hitting 100 to 140 leads at $0.22 to $0.25 CPL. Over weeks four to six I raised the budget in steps as it held, and I’m now running about $150 a day across the structure, roughly 4,000 leads total at about $0.31 lifetime CPL. Frequency stayed healthy the whole way, in the 1.5 to 2.3 range, so I never saturated the audience.

Now I’m at week eight plus and fatigue is finally showing. The same creative has been running about eight weeks, blended CPL has drifted from $0.31 up to around $0.49, and CTR has eased from those 8 to 10 percent peaks down to about 5.5 percent. Frequency is still fine at around 1.3, so this reads like creative fatigue rather than audience burnout. The ad has just been seen too many times.

So here’s my question. What’s the right move from here? I keep going back and forth. One option is to duplicate the campaign and pause the old one, which gives me a fresh start but throws away all the learning phase optimization I spent weeks building. Another is to duplicate the campaign and add new creative, but then I’ve got duplicates on the same niche audience competing in the same auction. A third is to just leave duplicate campaigns running at the same time, which feels like bidding against myself. And the last is to simply refresh the winning ad with the same layout but new background imagery, which is the lowest effort and keeps the proven concept, and might be enough to reset the fatigue on its own.

For a small niche audience specifically, what actually works here? Is a background swap enough to reset creative fatigue, or does the algorithm really need a genuinely new ad? And is duplicating ever worth losing the learning you’ve built?

I keep hearing two completely different opinions: duplicate a winning ad/campaign to scale it, or do not touch it?

I have a leads campaign that is working. I also have automated rules that pause and restart it at certain times because the timing matters for my results. I know that setup means Meta is not getting the chance to spend the full daily budget, and I am okay with that.

I am mainly trying to figure out the best direction from here. Would you duplicate the winning campaign exactly as-is, duplicate it but test new creatives, or just keep the original running and build new creative tests separately?

Curious what has actually worked for people scaling lead campaigns.

I am an indie iOS developer with a law enforcement background, and I built LOC8, a GPS location tool for police, security, and first responders. It shows your exact address, nearest cross street, coordinates, heading, elevation, and what3words code on iPhone and Apple Watch. I built it because I lived the problem.

It is working, and here are the real numbers, all verifiable in App Store Connect and RevenueCat:

Traction

• Around 1,670 first time downloads, plus 2,300 redownloads
• 14.9K impressions and 5.57K product page views
• 48.2% store conversion rate (page views to downloads), well above the typical store average
• Around 1,150 in app purchases

Revenue

• Around $6,100 in gross sales since launch in March 2026
• Around $4,630 in Apple proceeds, after Apple's 15% Small Business commission
• Around $4,778 of that came in the last 28 days, driven by an organic post in a law enforcement community
• 214 active subscription plans

Funnel and retention

• Day 7 download to paid of 13.6%
• Refund rate of 0.22%
• Most revenue is one time lifetime purchases, so churn risk on that portion is effectively zero

Almost all of this growth has been organic, with no paid acquisition wired in. One community post drove the recent spike, which tells me demand is real and the channels are wide open.

What I am looking for is someone who can help me turn LOC8 from a profitable solo project into a real business. The levers I have not pulled yet are direct agency and department outreach, expansion into fire, EMS, and search and rescue, paid acquisition, ASO, and deeper Apple Watch and widget features. My edge is domain credibility and distribution inside the first responder world that most developers cannot reach. My constraint is capital and reach.

I am open to discussing what an investment or partnership could look like. Happy to share full dashboards, screen share the numbers, and walk through the roadmap.

We went to California Closets to get an idea of pricing for a built-in wall with shelving, cabinets/storage, and a Murphy bed style unit. The pricing was a bit more than we were looking to spend for this project.

Before moving forward, I wanted to see if anyone has recommendations for someone local who custom builds this type of setup, or a company/shop that does good work with built-ins and Murphy beds.

Looking for something clean and built-in looking, not just a standalone Murphy bed. Would also love to hear from anyone who has had something similar done and whether you used a closet company, cabinet maker, carpenter, or another route.

Any recommendations, photos, or advice would be appreciated.

Hey everyone,

I’m looking to sell my iOS app, LOC8.

LOC8 is an iPhone and Apple Watch location utility built for law enforcement, security, first responders, and field use. It gives users a fast way to see their current address, nearest cross street, GPS coordinates, compass heading, accuracy, elevation, and what3words location code.

The app is live, monetized, and fully operational. It has generated more than $6,100 in gross sales since monetizing in March 2026, including $4,778 in the last 28 days alone. Revenue is primarily driven by one-time lifetime purchases, with a yearly subscription option as well.

Over the last 28 days, LOC8 has had approximately 1,418 active users, 1,287 new users, 205 active subscriptions, and 9 active trials. Trial-to-paid conversion is approximately 26%, and the refund rate is approximately 0.22%.

The original use case was law enforcement. It was built around the “I need to know exactly where I am right now” moment: foot pursuits, perimeters, alleys, backyards, rural calls, parking lots, unfamiliar areas, or any situation where someone needs to quickly relay an address, cross street, or coordinates.

The app has also gained interest from security, fire/EMS, search and rescue, outdoor users, delivery, rideshare, and general emergency-preparedness users.

Growth has come almost entirely through organic promotion, particularly a post in a law-enforcement community. That single channel drove a major spike and pushed June beyond every prior full month.

Paid acquisition has only been lightly tested, with early Meta results showing positive signal.

There is still meaningful upside through agency and department outreach, expansion into private security and fire/EMS, Apple Watch improvements, widgets and complications, ASO, creator partnerships, paid acquisition, and eventual Android or Garmin expansion.

The app is built with React Native / Expo for iOS, native watchOS support for Apple Watch, RevenueCat for subscriptions, Supabase Edge Functions, and a custom secured geocoding and cross-street backend.

I built LOC8 around a real issue I kept running into on the job. It has gained legitimate traction, but I believe it could grow much further with someone who has more capital, an existing audience, stronger marketing reach, or experience selling into public safety and field-service markets.

Asking price: $18,000 OBO

I can share the App Store link, RevenueCat screenshots, App Store Connect analytics, revenue proof, and a walkthrough with serious buyers.

I am looking for very accurate geolocation based open source projects. This is mainly for individual house numbers. I am currently using both nomination and Overpass. Is there anything else you guys recommend?

I am looking for recommendations for both a kids dentist and a dentist for my wife and I.

I got a 3.3k check from Sedgwick after getting my impairment rating. Am I supposed to cash this? Or if I do, will this do anything to my final settlement?

Defense just filed a pitches motion after a recent prelim. The prelim was a motion to suppress for a gun that the judge held the defendant to answer.

There requesting records related to:

•	Dishonesty      
•	Fabrication      
•	Bias      
•	Prejudice      
•	False Arrest      
•	Illegal Search and Seizure      
•	Improper Tactics Relevant to the Charge or Defense

I have nothing in my file.

Is this a typical thing after a suppression prelim and before trial?

I wanted to share a project I built with Claude Code and also explain the why behind it for anyone trying to build something similar.

The app is called LOC8. It started from a real problem I noticed in law enforcement. During foot pursuits, perimeter setups, large apartment complexes, alleys, backyards, or unfamiliar areas, it is easy to get turned around and need to quickly relay your exact location.

The idea was not to build another map app. The idea was to remove friction. Maps can give you a blue dot, but when you need the actual address, nearest cross street, GPS coordinates, heading, and accuracy fast, there are still extra steps. LOC8 puts that information on one screen for iPhone and Apple Watch.

Claude Code helped me build basically everything: the iPhone app, Apple Watch app, location logic, UI iterations, bug fixes, edge cases, and landing page. I used it heavily for React Native, watchOS, location handling, design cleanup, and keeping the product consistent.

The hardest part was not showing GPS data. The hard part was making it feel fast and useful under stress. I had to think through things like location accuracy, Apple Watch responsiveness, speed gating, driving versus walking, address refresh behavior, cached location data, and how much information is actually useful at a glance.

So far the app has grown to 1,500+ users, made a little over $1.5k in under 2 months, and has been around a 25% App Store product page conversion rate. Most growth has come from Reddit posts and manual outreach.

The biggest lesson for me is that Claude Code works best when you bring a real problem to it. It did not invent the use case. I understood the pain point first, then used Claude Code to help turn it into a working product.

For anyone one or two steps behind me, my advice would be: do not start with “what app can AI build for me?” Start with “what annoying problem do I understand better than most people?” Then use AI to help you move faster, test more ideas, and ship.

Would love feedback on the concept, the Apple Watch side, or how you would improve the product from here.

Hey everyone, I’m looking to hire someone to create and post daily TikTok carousel content for my iPhone and Apple Watch app. The content would be simple carousel posts built around app screenshots, hooks, use cases, pain points, and short captions. I can provide the app details, screenshots, examples, and general direction, but I’m looking for someone who can turn that into clean daily posts.

The task would be creating one TikTok carousel per day and posting it to the account. The content does not need to be overly complicated, but it should look clean, be easy to read, and test different hooks to see what gets traction. This is mainly for someone who understands short form content, basic carousel formatting, and how to make people stop scrolling.

Budget is $50/month to start.

Please message me with any examples of TikTok carousels, Instagram carousel posts, or similar content you’ve made. Experience with app content is a plus.

https://preview.redd.it/xxq8fqwrmjzg1.png?width=2294&format=png&auto=webp&s=ce434697f3d7f5fcf77e1ba64c584dd8a2ee32c7

Overview

I’m listing an iOS utility app called Address Finder: LOC8.

App Store: https://apps.apple.com/us/app/address-finder-loc8/id6759589628

LOC8 is a direct-to-consumer iPhone and Apple Watch app built to instantly show a user’s exact location details in one place. It displays current address, nearest cross street, GPS coordinates, compass heading, elevation, location accuracy, and a location code.

The app was originally built around law enforcement and field-use situations where someone needs to quickly know or share exactly where they are without digging through Maps. Since launch, it has also found broader use cases around travel, roadside situations, rural areas, hiking, emergency preparedness, and general location awareness.

Founding date: March 2026
Business model: Direct-to-consumer app with in-app purchases/subscriptions.

Reason for Selling

No urgent reason for selling. I’m mostly testing the waters to see if there is interest from someone who could take the app further.

The app has traction, active users, and revenue, but growth has mostly come from manual promotion. I think there is still a lot of upside for someone with stronger ASO, paid acquisition, influencer marketing, or consumer app growth experience.

I’m open to keeping it, but would consider selling if the right buyer sees the opportunity and wants to scale it.

Financial Info

Last month proceeds: $891
Last month in-app purchases: 303
Paying users: 3 daily average
First-time downloads: 925
Redownloads: 1.02K
Impressions: 12.4K
Product page views: 5.28K
Conversion rate: 25.6% daily average

Last 12 months revenue/profit: The app is new, so full 12-month history is limited. Revenue is currently based on recent launch/growth performance.

Asking Price

Open to offers.

Key Assets

The sale would include the iOS app, Apple Watch app, App Store listing, existing user base, app concept, current branding, and the location utility feature set.

Current features include:

• Instant address lookup
• Nearest cross street
• GPS coordinates
• Compass heading
• Elevation
• Location accuracy
• Apple Watch app
• Location code system
• Pinned locations
• Saved locations
• Map-based location tracking
• Routing back to saved/pinned locations

Tech Stack

The app is built with React Native for iPhone and Apple Watch support. It uses an external location API for location calls, which tested more accurately for this use case than relying only on Apple’s internal location tools. Development was assisted using Cursor and Claude Code.

Additional Notes

The app has validated demand, over 1,000 users, and real revenue, but discoverability is still the biggest issue. Most traffic has come from manual Reddit promotion, so there is likely upside for someone who understands ASO, influencer marketing, paid acquisition, or App Store growth.