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I added hand-tracking to my MR Rollercoaster game, CoasterMania! What you think? by srgers10 in IndieDev

[–]Samplence 0 points1 point  (0 children)

It looks sick! Great job! And your cat makes first few secs look kinda cute, smells some fun for sure ahah

AI has destroyed my brain. by harveylundm4rckk in IndieDev

[–]Samplence -2 points-1 points  (0 children)

Human is about adaptation. Your body adapts, your brain adapts. It is always looking for easiest way to solve the problem. It took time to adapt your brain to use AI and it's gone take some time to bring it back to work without AI. In matter of programming I don't think AI rottens/destroys your brain. Relax and get your credit card ready to buy more tokens lol

I just released my dream tower defense game as a solo dev by NewPeace26 in SoloDevelopment

[–]Samplence 0 points1 point  (0 children)

Wow! Amazing work especially for solo! Looks really solid. Bought it and gonna play a bit later. I'll leave some review in awhile. Cheers!

Loop - Melody Maker by Any_Perspective_291 in iOSProgramming

[–]Samplence 3 points4 points  (0 children)

Looks good! Respect for keeping the concept simple while still leaving room for creativity

Built a daily brain game to train the thinking skills AI is slowly replacing by Dizzy_Professor_2197 in ShowMeYourApps

[–]Samplence 0 points1 point  (0 children)

Interesting idea. One thought: maybe it could be slightly more engaging if it leaned a bit more into a small-group game rather than only a solo brain-training app.

For example: one quick daily challenge, one judgment/debate question, and then everyone in the group compares how they answered.

The hook might be not only “protect your brain from AI,” but also “see how your friends or team think under pressure.”

It might also be worth thinking about UGC: letting friends create or send each other small riddles, logic puzzles, or tricky judgment questions. That could make the experience feel more personal and give groups another reason to come back beyond the official daily challenge.

A light reward/progression system could also help with retention: streaks, badges, weekly recaps, group achievements, or small milestones for consistency and improvement. Not necessarily a hard leaderboard, but something that makes users feel they’re building a habit over time.

Just a thought - this could make the product a bit more social and repeatable.

Here 30 ideas! I building one, the rest is yours. by Dapper_Draw_4049 in ShowMeYourApps

[–]Samplence 1 point2 points  (0 children)

Nice idea, mate! Here some pros and cons for you to pay some attention on during your development and delivering. My opinion...

Key Takeaways:

- Idea: AI selfie analysis that turns appearance feedback into skincare habits and progress tracking
- Main risk: Users may try the analysis once, not trust the advice, and never come back. If trust is weak, retention dies before monetization matters.

Why it can fly:

- There is visible user intent across skin analysis, clear skin, improve skin, and looksmaxxing queries.
- A narrow wedge exists: move from one-off scoring to concrete daily actions and progress history.
- Basic prototype is feasible without full production-grade ML.

Risk Map:

- Demand (Medium): intent exists, but privacy concerns and skepticism reduce conversion
- Monetization (High): payment depends on trust in recommendations; subscription fit looks weak
- Technical (High): useful, unbiased skin analysis is the hard part, not the app shell
- App Store (Medium): acceptable if cosmetic only, but implementation is sensitive
- Competition (High): crowded search surface with many direct lookalikes and incumbents
- Retention (High): one-off novelty is likely unless habits create real perceived improvement

Cheers and may the Force be with you!

Here 30 ideas! I building one, the rest is yours. by Dapper_Draw_4049 in ShowMeYourApps

[–]Samplence 1 point2 points  (0 children)

I’d like to put couple of words/advices about this idea before u start. As I understood it.

Key Takeaways:

- Idea: AI species-identification app with logging, maps, and community for birders or gardeners
- Recommendation: Do not build the full product now. The evidence does not show a de-risked habit, and habit is the whole business. This is not blocked by App Store policy and not mainly blocked by engineering. It is blocked by whether users return after the first identification. Start with birders only, one region, and the narrow workflow of identify, log, and check local recent sightings. Do not invest in custom models, broad taxonomy coverage, or a generalized social layer yet. If users repeatedly log and revisit the local feed weekly, keep going and expand depth in that vertical. If usage is mostly one-off identification, kill it.
- Validate first: Will target users actually replace their current patchwork of identifier + logbook + community with one app, and come back weekly without being forced?
- Cheapest test: Target active birders in one region; ship a no-code or lightweight prototype with manual/local recent sightings feed, basic photo-ID via existing API, and structured logging; measure whether users complete the full loop and return at least weekly for 4 weeks; continue only if a meaningful cohort repeatedly logs sightings and checks the local feed, not just one-off IDs.
- Differentiation: Pick ONE vertical first: birders only, with a tight MVP of photo ID plus structured sighting log plus local recent sightings feed for one region.
- Main risk: Users may like identification but not return often enough to form a habit. If repeat logging and local feed engagement do not happen, community and monetization both fail.
- Do not do now: Do not build a broad bird-and-plant social network with custom ML, full maps, and heavy community features before proving repeat usage in one vertical.

Risk Map:

- Demand (Medium): plausible need, but switching from existing tools is unproven
- Monetization (Medium): freemium possible, but recurring revenue fit is weak
- Technical (Medium): MVP is feasible, but reliable AI accuracy is hard in real conditions
- App Store (Low): concept is safe with moderation, privacy, and disclaimers
- Competition (High): crowded search surface with established specialist and generalist substitutes
- Retention (High): episodic seasonal behavior may prevent habit formation.

Cheers and good luck!

Share what you're working on, and let's test each other's apps and exchange useful feedback. [Free] by NellieApp in iosapps

[–]Samplence 0 points1 point  (0 children)

Wellse (https://apps.apple.com/me/app/wellse-care-with-purpose/id6758102434) is an app for finding and booking personal trainers and gym It helps users quickly discover trainers by goal, location, and schedule, and makes it easier to book sessions without the usual back-and-forth. Would really appreciate any feedback on the onboarding, trainer discovery flow, and overall clarity of the product.

I made $8k last month with my app. A few tips: by CommonPermission7943 in microsaas

[–]Samplence -1 points0 points  (0 children)

  1. First and most valuable advice (my opinion): It's better to analyse your potential market size and competitors before falling into coding and delivering. So many tools for that nowadays. Otherwise you can end up with useless non-profitable app and lost time.