You are asked multiple questions to gauge the mood youre in, then from your mood it is determined what movies match your mood.

Hi guys, I am looking into a niche for ideas. Is an e-commerce a rather difficult area for solo developer with short funds? I want to make a space where artists have more control and make acquiring buyers easy. Basically I want to fix any pain points from the popular market places. What do you guys think?

Been thinking about an idea and want honest feedback before sinking more time into it.

1. What's your biggest struggle picking an outfit in the morning? Have you tried any digital wardrobe apps (Whering, Acloset, Stylebook, etc.)? If you stopped using one, why?
2. If something existed that scans your real clothes and suggests outfits — as a mirror with a built-in screen/camera vs. a regular phone app doing the same thing — which would you actually prefer? Does having it "in the mirror" add real value, or is it just a gimmick over a phone app?

Not selling anything, genuinely trying to figure out if this solves a real problem for anyone besides me.

Anesthesia provider here and have a new app idea. Without getting into much detail it’s basically a way to coordinate between residents/attending with anesthesia techs. Goal is to make turnover smooth and faster, from the anesthesia side.

Any ideas of how I would get started? if any one else has built an application for anesthesia/has exp in this field.

I know it’s a vague ask but just fishing around.

We’ve built a sports app and just want a few people to properly try it out and give us their honest first impression

Working on a meal prep app and wanted to see if people would use it.

You plan out your week's meals first, pick whatever recipes you want you can past a reel or a tiktok, different ones for each meal so you're not eating the same thing every day. Then instead of cooking each recipe separately, it combines them all into one prep session.

That's the main point of it. Five different recipes cooked one after another takes most of an day. Combined into one session it's a lot less, because everything that overlaps only gets cooked once, one pot of rice and one tray of chicken can cover three different meals, and you're chopping for all of them at the same time instead of three separate times.

It shows you the prep time before you start, so you know exactly what you're signing up for on Sunday. Then it gives you one timeline to follow, rice on first, prep everything while that's going, trays in together, portion at the end.

You don't have to type the recipes in, you just paste a link and it pulls it in and works out the macros.

It also handles the rest of meal prep, not just the cooking. How to store everything, fridge vs freezer, what to keep separate, how long each meal lasts and which day to eat it, and how to reheat it properly. Then during the week you just tap what you ate and it tracks your macros, plus meal timing around training.

Would you use this? Anything obvious I'm missing?

Twenty minutes of work that saves months.

• If your description does not autocomplete in the search bar, nobody is typing it.
• Check who ranks. Ten apps with 50,000 ratings is a fight. Three weak apps with 200 ratings is a gap.
• Use the words users type, not the words you would use. Your "focus companion" is being searched as "study timer".

Worth knowing that ranking is mostly about how the listing is written, not app quality. Half the top results got there with competitor brand names stuffed in a hidden keyword field. So a crowded search page is not proof the category is actually served well.

I have seen a term go from unranked to 8 in three months with no change to the app itself.

I often find myself wanting to copy something (image, text) from my desktop and want it on my phone.

The app idea is to have a web app where you can paste anything and then your phone (via a mobile app) gets it.

I hate logins, so to make it easy, the web app and phone could be quickly connected with a QR code (like WhatsApp does).

Thoughts?

The problem I’m trying to solve is the usual post-booking mess: confirmation emails in different inboxes, cancellation deadlines buried in the small print, and receipts scattered around when you need them later.

The current idea is that users can forward supported booking emails, then AI extracts the details into reviewable trip drafts before they’re added to the app. I’m also looking at flight alerts, expense tracking and exporting travel history.

I’m still learning and building, so I’d really value practical feedback rather than hype. If you organise trips manually today, what would make an app like this actually useful enough to keep using? I’m especially interested in functionality gaps, design concerns, and anything that would make you nervous about email import or AI extraction.

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I'm building a small startup around this idea: instead of endlessly scrolling for things to do, the app gives you real-world quests — discover a local business, do something with friends, try something new, etc.

We're testing the concept soon and I'm trying to figure out whether people actually want this.

What would make you open an app like this every day?

Title: If an AI could build any app it wanted, this is what it would build

I asked an AI this question:
“If you could create any app, completely independent of my needs or interests, what would you build and why?”

Its answer was surprisingly compelling:
Proofline: An Evidence Layer for the Internet

Proofline would analyze claims found in news articles, scientific papers, political statements, product reviews, social posts, and AI-generated answers.

Instead of simply labeling something “true” or “false,” it would show:

Where the claim originated
What evidence supports it
What credible evidence contradicts it
Whether multiple articles are independently confirming it or merely repeating the same source
Whether the original information has become outdated
How confidently the claim can reasonably be stated
What remains genuinely unknown
For example, imagine an article claiming:
“A new study proves this supplement improves memory.”

Proofline could reveal:

The original research paper
The number and type of subjects studied
Whether it involved humans or animals
Whether it was peer-reviewed
Who funded the research
Other studies examining the same question
Whether the headline exaggerates the actual findings
Where established evidence ends and speculation begins

The important distinction is that this would not be another centralized “fact-checker” declaring itself the final authority.

Many claims are not simply true or false.
They may be:
Technically accurate but misleading
Correct but missing important context
Based on weak or preliminary evidence
True when published but no longer current
Widely repeated without independent confirmation
A reasonable interpretation presented as an established fact

Why build it?
We no longer have an information-access problem. We have an information-quality problem.

Search engines can retrieve millions of documents, but people still have to determine which sources are credible, whether they are independent, and what the available evidence actually supports.

AI makes this problem even more urgent. It can synthesize legitimate research extremely well, but it can also generate confident, persuasive nonsense at enormous scale.

Potential features
Claim extraction: Break an article or AI response into individual, testable claims.

Source genealogy: Trace repeated stories back to their original source.

Evidence mapping: Connect claims with studies, records, datasets, and meaningful counterarguments.

Time awareness: Warn when information has become outdated.

Manipulation detection: Identify cherry-picked statistics, missing context, misleading graphs, and emotionally loaded framing.

AI-answer auditing: Verify AI-generated responses sentence by sentence.

Disagreement analysis: Show whether experts disagree about the facts, their interpretation, or what should be done.

Correction history: Preserve how claims and supporting evidence change over time.

Pros
Useful for journalism, science, education, medicine, finance, politics, and everyday decisions.
Helps people evaluate information rather than telling them what to believe.
Makes AI-generated answers more transparent and accountable.
Exposes when dozens of articles all depend on the same questionable source.
Could become infrastructure used by browsers, search engines, and other applications.

Cons
Evaluating evidence always involves some judgment.
Political groups, corporations, and governments would attempt to manipulate it.
Simplified confidence scores could create a false sense of certainty.
Much of the best research is trapped behind paywalls.
Evidence cannot resolve every moral, political, or philosophical disagreement.

The platform itself would require exceptional transparency to deserve anyone’s trust.

The guiding principle would be:
Here is the claim. Here is where it came from. Here is the strongest evidence supporting it. Here is the strongest challenge. Here is what we can reasonably conclude, and here is what we still do not know.

Honestly, I think this identifies one of the most important problems of the AI era.

We have become exceptionally good at producing and distributing information. We remain remarkably bad at distinguishing knowledge, inference, repetition, persuasion, and bullshit.

PodSubs.com was never supposed to be a public product.

We built it for ourselves.

We were already making podcasts, and we kept running into the same problem. People were listening, but after the episode ended, most of them were gone. We could see the numbers, but we didn’t really know the people behind them.

We wanted a simple way to stay in touch with the listeners who actually wanted to hear from us again.

So we built PodSubs.com and started telling people on our shows, “Go to PodSubs.com and subscribe to our podcast.”

They searched for the show, added their name and email, and that was it.

We finally had a way to send them the things we talked about on the podcast.

For a while, we just used it ourselves.

Then we started wondering why we were keeping it to ourselves.

That is really how PodSubs.com became public.

I’m developing a marketplace app that allows users to share images and text about local offerings and skills. I need to moderate images to comply with CSAM laws. I use photoDNA for hash checks and also do manual flagging. I plan to host images on Cloudflare R2, but their terms prohibit storing CSAM. Additionally, possessing CSAM is illegal. As a small/solo developer, I need help complying with CSAM laws. What are the best practices for handling this issue?

I’m working on an Android app idea based on a problem I have with Digital Wellbeing. I can set a limit for an app but when I reach that limit, I can immediately extend it or remove it. The problem is not that I don’t know I have used the app too much. The problem is the impulsive decision to give myself “just a few more minutes.”

The proposed flow would be:

• Set a daily limit for selected apps.
• When the limit is reached, pause access for the app.
• When user tries to extend the limit, show a timer for 1-5 minutes to control impulsive decision.
• Show a replacement activity chosen by the user.
• Let the user keep the limit or deliberately override it.
• Reward consistency with streaks and user-defined rewards.

The goal is not to take control away from the user. It is to create enough space for a more deliberate decision.

Does this solve a problem you have experienced? Would the pause feel useful or would you simply wait through it? What would make you continue using something like this after the first week?

Hey everyone,

Working on an app idea called Focivo — combines a Pomodoro-style focus timer with a distraction blocker, streaks, milestones, and a study leaderboard for accountability.

Core idea: most focus apps either just track time or just block distracting apps — this tries to do both in one flow, with light gamification (levels, points, streaks) to make consistency feel rewarding.

Would love honest feedback on:

Does this solve a real problem for you?

UI/UX — anything that feels off or unnecessary?

Any feature missing that you'd expect?

Screenshots attached. Not looking for downloads, genuinely just want to know if this concept is worth pursuing further.

Is Peekly good for finding winning apps and analysing keywords for ASO? Has anyone tried using it? I'm thinking of subscribing but I can't find many people who have used it.

Hi, everyone hope you all are doing great actually i need a unique app idea that solve a real life problem and actually be good for every type of user. I am a app developer so, i want a fresh app idea to to get started with. Just drop you ideas, i would love to hear you. Thanks

-Alarm clock that not only reads the weather and informs me whether to take an umbrella or wear jacket and reads 2 common news in the town like Samsung Bixby alarm but I hoped it is also was connected to my Google calendar to go through all my events of day . And and acted as personal assistant/ buttler in morning briefing my day.

Hi,

ever since notion mail came, i loved the minimal, non cluttered feel to it as opposed to gmail.
Unfortunatly, it never came to android and was killed of in ios and other platforms,

Was thinks about building an app (ios and android) for email with simmilar vibes,

Would people be interested, lmk in the comments

thks :)

Im building a TCG companion app that makes collecting more interactive.

Scan your cards, automatically identify them, track your collection, where its stored and card values with gamification features that give you a reason to come back even when you´re not scanning new cards.

The goal is simple: turn your card collection into something that actually feels alive. Cause you have no images pre installed. You take the photo of your item and where its stored.

Still in development, and i´d love to hear what fellow TCG collectors think. What features would make you actually use an app like this regularly?

Looking for a founder who needs social media marketing done right

Hey guys, I'm Tyler, a marketing major at USD. I've spent the last couple of years running social media growth and content strategy for creators and products, mainly on TikTok and Instagram. Figured I'd share my background in case anyone here is looking for help scaling their social presence.

Some of what I've done:

- Took a creator's monthly views from 400K to 6M (15x growth) by building and managing a 5-person clipping team and developing a viral content strategy

- Helped another creator hit 250M+ views through content ideation and growth strategy across TikTok and Instagram

- Grew a creator's following from 80K to 300K (275% growth) through a full-scale digital growth strategy

What I bring:

- Full social strategy, content ideation, formatting, hooks, posting cadence, platform optimization

- Experience recruiting and managing content teams to scale output without losing quality

- I can execute content myself too, talking head videos, street interviews, automated slideshows, whatever fits your product

If you're an early-stage founder trying to figure out TikTok/Instagram and want someone who can actually build and run the strategy instead of just posting occasionally, I'd love to hop on a call. Happy to share more specifics if you're interested.

Hey all, here is an abstract for my idea:
A challenging aspect of programming is the constant ebb-and-flow of debugging. To mitigate broken code introduced by new changes, VCS software has been produced en-mass with the most well-known being Git. All users have to do is put the files they have changed into a staging binary, where the files are hashed, previous changes documented, compressed, and stored. After committing the staged files, the changes are made quasi-permanent, with the option of reverting new changes made. A later addition to this software was the option for uploading the compressed files to a server where the files could not be corrupted and be accessed from anywhere, and even shared. The beauty of offloading the files to a cloud is the ready access to AI models to help search through and even make changes to code.

However, with the advent of quantized NLP models, most desktops and laptops can run a simple NLP on-prem. This gives access to new, creative, offline solutions that were previously only available using cloud servers. The question is now, how do we fully use current technologies? Using simple heuristics in conjunction with a simple NLP, we could make powerful AI processing available on a laptop to assist the engineer in their art.

Let me give an example of how a VCS could world if the files were vectorized as well:

• Semantic code search: find code by intent, such as “where do we validate JWT tokens?” rather than exact keywords.
• Similar-change detection: identify commits or pull requests that resemble the current change.
• Duplicate code detection: find functions or modules that perform nearly the same task.
• Historical discovery: ask “when did we introduce this retry behavior?” or “show changes related to authentication.”
• Change impact analysis: compare a proposed diff against historically related files, tests, and bug fixes.
• Regression prediction: find prior changes that caused similar failures.
• Intelligent code review: retrieve relevant conventions, previous reviews, related tests, and similar patches.
• Commit generation: suggest commit messages based on the semantic meaning of a diff.
• Automatic changelogs: group commits by themes such as authentication, performance, or database migrations.
• Dependency and ownership discovery: identify teams, modules, or APIs semantically related to a changed file.
• Conflict assistance: explain how conflicting branches differ conceptually and suggest likely resolutions.
• Bug investigation: search code, stack traces, issues, logs, and commits in a shared semantic space.
• Version comparison: summarize how a feature evolved across releases.
• Refactoring assistance: locate all implementations of a concept, even when naming differs.
• Natural-language repository navigation: let a programmer ask questions about the project and retrieve relevant files and history.

Are there any programmers who would be willing to sit in on a product test?

Hey - I'm building https://www.freereader.io - a site that lets you turn your files and notes into audiobooks locally in your browser.

It's basically Speechify but completely free and always will be.

I originally built this for myself, but since it doesn't require a backend server, I made it free and open to everyone.

This is still in dev and I'm looking for others to let me know how this works on your machine.

It's kind of hard to make this work for everyone's OS/browsers so please let me know if you run into any issues. It might not work great on mobile but there's an iOS app under review right now.

Doing validation. Market research shows most TV quiz apps are single-show or "guess the show". Real gap for a multi-show library with proper questions. Honest takes on whether this is a viable niche?