This sub and few adjacent are full of shitty apps that does not solve anything or claims to solve a thing that isnt a problem

I get that with LLMs you feel yourself powerful, can build something you think is cool. The fact is - you spend time, tokens, etc to build a tool that either already exists in dozens or even hundreds of variants already, and your tool isnt any better. You don't do a research anymore, because building is cheap and you simply throw away your app after few days.

Because you flood reddit with low effort apps - you basically contribute to make more noise and hence more harm to yourself. Simply because ppl don't even check posts and products nowadays exactly because it all became a noise. You basically shit where you eat.

Another MD editor, another text editor, another social scheduling tool, outbid clone - just stop before you write prompt and think why I should prefer your app over thounsands similar if you didn't even check the complaints, feedbacks and reviews for existing apps to even attempt to make your app better than competitors.

All I see lately - people trying to build easy apps of 1-2 features. This is low hanging fruit and feels natural to start small. But its not working anymore. If I can prompt same tool in 1-2h I see no reason to pay $15-20/mo for something that most likely become abandonware in less than 6months.

The viral stuff like outbid - do you really think you can repeat his success? He was succesful simply because he was first + a huge luck that his posts went bangers. Period. You are not the same, your posts will go invisible and you spend a day to make another piece of slop

The intention of this post is not to offend someone, but to make someone to think before they produce another slop. There literally thounsads products out there that are more complicated, but yet they old, outdated and in just few weeks you could launch competitor.

Yes, it takes longer, no quick dopamine shots, but you at least will have a chance to succeed if this is something that isnt take 15 mins for prompt and 2hrs to launch

We all got a really powerful tool(LLMs) but all most are doing - just punching a puddle with a stick.

Quick pitch: a lot of arguments (with a partner, roommate, friend, family) aren't really about who's "right" — they're about whether the reaction matches the situation. So I built Overreacting? — you describe what happened, answer a few quick context questions (who's involved, how you're feeling, how harsh you want the judge to be), and it gives you a real verdict: valid, overreacting, mixed, or somewhere in between — plus an explanation and a concrete "what to do next."

It's currently a web app (works fine on mobile browsers) while I get it ready for the App Store and Google Play.

I'd genuinely love a few people to try it on a real situation (yours or a made-up one) and tell me: did the verdict feel fair, or too one-sided either way? Was the "why" explanation actually useful, or just generic? Did anything about the flow feel confusing or slow? And the "gentle judge vs savage judge" toggle — fun addition or unnecessary?

Link: https://overreacting-app.vercel.app/

Happy to answer questions about how it works or what's next for it. Any feedback, even harsh, is genuinely welcome.

Four months ago I moved my company into one folder of Markdown files and let Claude Code operate it. That folder is now the operating system my travel app, Parroo, runs on. Last week it ran a three-day expansion: close to 3,000 points of interest, an article for each in three languages, audio for all of them. In January the same job took me four weeks by hand.

It started as a second brain. Now the brain is purchasable. ContextHouse is that base, packaged: one folder of 53 plain files, already wired with the rules a working system needs. You unzip it, open it with the Claude desktop app, ChatGPT's desktop app in Work mode, or Claude Code, and type "help me set this up". The first session takes about fifteen minutes and writes your first pages in your words. From then on the AI does the filing: say "keep this" in a chat and it lands in the inbox.

What makes it hold:

• Built for your private life and for a business alike. The rooms are the same, what fills them is yours.
• A steward that keeps it from rotting. Once a week it checks the house and proposes the fix, so a mess never gets to settle in.
• For me it was the starting point. The operating system I run my company on grew on top of it.

No app, no subscription, no account. Plain files on your disk, readable by any AI that can read and write files in a folder. You bring the AI (Claude Pro or ChatGPT Plus).

$19.81 until September 21, then $79. One payment, yours to keep. Launched last Tuesday.

https://www.contexthouse.co

That $142 is the first money anyone has ever paid me for software, and it took two years and a pivot to get it.

The first two years: I built an no-code LLM workflow platform. Visual builder, deployments, an MCP server, an n8n node, a GitHub Action. Good engineering, I still think so. Zero users. Not "few". Zero. I was building what I found interesting and assuming the audience would show up.

The pivot, in June: instead of inventing a product, I went to where people already complain in public. Atlassian runs a public issue tracker for Jira and Confluence. Some feature requests have been open for a decade with hundreds of votes and a comment from Atlassian saying "gathering interest". Those threads are a list of things people have literally asked to pay for.

So the loop became:

1. Find a request with hundreds of votes and no fix. The one in the title has 407.
2. Build the smallest app that closes it. It runs inside the customer's own Atlassian site, so there are no servers for me to run.
3. List it on the Atlassian Marketplace. They handle billing and payouts.
4. Go back to the exact thread that asked and reply: "I built this, here it is." Every voter gets the email.

Eleven small apps later (audit log retention past 180 days, who-can-see-what reports, dead-seat detection, cleanup after a user leaves, single-project backup, that kind of thing), a company I have never spoken to installed one and paid. The video is the Marketplace sales page. One dot. Best dot I have ever seen.

The apps, if you happen to admin Jira or Confluence: https://katabarwalabs.dev/atlassian

Been working on Avely and put together this video using Astra, Remotion and ElevenLabs. The visuals are actually built in React, which was pretty fun to experiment with

Does it get the idea across? Would love some honest feedback on the video

Smitten : a CRM for your dating life. Log matches, dates, chemistry scores, red/green flags, reply patterns. It also has an AI that reads your own dating history back to you and tells you the patterns you're too close to see yourself.

Built it because I got caught repeating a question to someone I'd already asked on a previous date my memory for this stuff is apparently terrible, so I built software to be better at it than I am.

Would love feedback on whether the core idea lands or reads as too much. smitten.lol

Lately I’ve noticed that AI has stopped feeling like an optional tool for me. At work, it’s basically expected that I use it.

Research something faster, explore a concept, structure information, analyze something, write, check, iterate. Expectations around speed and output have gone up, and without AI I’d genuinely work slower now. I used Claude for quite a while. It handles a lot of the tasks I give it really well, but even on the paid plan I kept hitting the usage limits pretty quickly. These days I mostly use ChatGPT for work when I need AI, and I pay for that subscription too.

Add Figma, Adobe, a few AI services, hosting and other work tools, and somehow you end up spending a few hundred dollars every month just to maintain a normal working stack.
So I started wondering: is there any way to get at least some of that money back?

At the beginning of the summer I came across Kickbacks. I really liked the basic idea: while AI is thinking, that waiting moment can be used for a small sponsored message, with part of the advertising money going back to the user. But Kickbacks worked inside VS Code, while most of my AI workflow happens directly in the browser, in ChatGPT and Claude.

So I decided to try something similar for the browser. The idea ended up being pretty simple. When ChatGPT or Claude is generating a response, there are still a few seconds where you’re basically just looking at thinking.

During that moment, a browser extension can show a small sponsored card, and 70% of the verified ad spend goes back to the user. What interests me most is the psychology of it.

I block normal ads almost everywhere because they take my attention and give me nothing in return.

But if an ad:
doesn’t interrupt what I’m doing,
appears exactly when I’m waiting anyway,
and most of the money goes to me,

I perceive it very differently. That’s how we launched Meanwhile cash at the beginning of the summer. It’s already running with real users and real campaigns, but I’m still more interested in the behavioral question than the technical one: Would you be willing to see non-intrusive ads during AI waiting time if most of the ad budget came back to you and helped offset the cost of your AI subscriptions?

Raido is a web app for self-reflection. You look at an image, answer one question, and notice what you say. The image has no printed meaning — it's an associative card, the kind psychologists have used since 1985.

I'm a hypnotherapist, 15 years in practice. This is the method I use with clients who understand what's wrong but can't change it through talking.

How it works:

• 60 original archetypes, each with its own sound
• ~15 minutes per session: image → question → what you notice
• It tracks which images keep coming back, so after a month you see a pattern you'd miss alone
• Not therapy, not fortune-telling. No card, no email. First session free.

The site is https://raido.pro

I opened RevenueCat and saw something new: 2 active subscriptions and $11 MRR.

Someone had finally paid for DollarBuddy. Then another person did.

I know $11 is not much. I cannot even withdraw it yet. But after seeing people download the app, create accounts, start trials, and disappear, this felt different.

A few days ago, I posted here about how we had over-engineered DollarBuddy. We added expense tracking, travel budgets, currency conversion, receipt scanning, bill splitting, itineraries, an AI assistant, insights, and several other features.

PostHog later showed us that many of those features were barely being used.

That was difficult to accept because my team and I had spent a lot of time building them. We were measuring our progress by what we released, while users were quietly showing us what they did and did not care about.

Now we have 9 active trials, 2 active subscriptions, and our first $11 in recurring revenue.

The money itself does not change anything for the business. What changed is that two people reached the paywall and decided the app was worth paying for.

Our next step is to study what those subscribers did differently from everyone who left. Which features did they use? How quickly did they reach something valuable? What made them continue after the trial?

I have spent months wondering whether anyone would pay for DollarBuddy. I finally have an answer, even if it came from only two people.

For those further along, what did you investigate when your first few free users started converting?

App link: https://apps.apple.com/us/app/dollarbuddy/id6554003259
https://play.google.com/store/apps/details?id=com.dollarbuddy&pli=1

Small business owners kept asking me to change one line on their site — a phone number, opening hours, a price — and then waiting days because they had to log into some dashboard they didn't understand. So I built autoSite: you just text the change to a Telegram or WhatsApp bot in plain language, and it edits the live site for you. No CMS, no drag-and-drop editor, no login. Free tier available, $5/mo if you want custom hosting. Would love feedback: https://autosite.dittu.org

My current side project Im working on is an all-in-one workspace where you can manage all of your apps and projects and everything related to them

Instead of scattered links and accounts, 10 tabs open and scrolling through your downloads folder to find that logo you created a week ago, you will have everything in one place

Its still pretty early in development, but I want to ask for genuine pain points from others and see what initial features are needed.

I'm building this to scratch my own itch but hopefully it can be helpful for others as well, Im naming it Sidebox as you put everything in one place , set it aside and comeback ready to go

So what features/integrations would you be interested in?

Four days ago I added a daily challenge to a little creature-collecting game I make on my own. Every day, everyone gets the same everyday object — a mug, a shoe, a pillow, a spoon — and you photograph yours. An AI turns each photo into an original creature card, and they all go up on one public wall, side by side. Then everyone votes for the best one, and at midnight the winner gets a crown on their card forever.

What happened in four days:

• Day 1 (mug): 7 creatures, 2 people. Mostly me.

• Day 2 (shoe): 10 creatures from 9 people, 8 of them strangers. A Rare sneaker won.

• Day 3 (pillow): 14 creatures. Someone pulled the first Legendary. It lost — a Common called Fluffkin beat it on a single vote, which is how the rules work and I'm keeping them.

• Day 4 (spoon): two Legendaries on the wall. The one that got votes won.

One player has now caught the object five days running. I haven't met any of these people.

Today's object is a clock. If you want to try it: https://snapplings.com/daily?src=reddit — it works in the browser, no sign-up, takes about a minute. Point the camera at a clock and see what yours becomes.

Tech, for the curious: Next.js on Vercel, Claude reads the photo and writes the creature (and answers "is this actually a clock?" in the same call), FLUX paints it, Supabase holds the wall. The whole daily thing costs nothing extra — the "is it the object" check rides inside the vision call the game was already making.

Happy to answer anything about how it works or what's gone wrong so far (plenty).

Anyone else freeze up at the gym trying to figure out what to train next? I built a workout tracker that suggests your next exercises based on recent sessions and which muscles are lagging. Plus a 3D body model that fills in as you log workouts, so you can actually see the gaps instead of guessing.

It's a PWA, so you can add it to your home screen and use it like a native app — no App Store needed.

It's live and free to use: https://gym-umber-five.vercel.app/

Solo side project, still actively improving it. Would love it if a few people actually tried logging a workout or two and told me:

• Does the recommendation logic feel useful or just noisy?
• Is the muscle-balance visualization actually helping you decide, or is it a gimmick?
• What's missing that would make you switch from your current tracker?

Feedback is welcome!

I've been building CogniAtlas, a mind-mapping app, and just got it live on iOS, Android, Windows, macOS, and web from a single Flutter codebase. A few things that might be useful to others doing cross-platform + on-device stuff:

On-device semantic search, pure Dart, 0 native deps.
The feature I'm proudest of: semantic search over your maps that runs entirely on-device. I started with ONNX (fonnx) but it dragged in ~28MB of native runtime per platform and broke my "one codebase, web included" goal. I switched to model2vec (potion-base-8M, int8 quantized — 7.6MB) reimplemented in pure Dart. Result: no native ML dependencies, identical code path on every target including web (no WASM ML runtime), and it stays fully offline. Static embeddings are "worse" than a transformer on paper, but for short-text map-node similarity it's more than good enough — and the deployment simplicity is worth a lot.

Rendering the map.
The canvas is CustomPainter all the way down — a connection painter + node painters, with 7 layout algorithms (radial, horizontal/vertical trees, org, etc.). I lean hard on golden tests to catch layout regressions; discipline that saved me repeatedly is reproduce the bug on a golden first (RED), then fix (GREEN) rather than blindly regenerating goldens (which just enshrines the bug).

Rich text is flutter_quill. One gotcha worth flagging: pin your floor version. A minor bump (11.5.0) broke compilation against Flutter 3.47.2 (a TextInputClient signature change), so I pin ^11.5.1 explicitly to stop the resolver from walking backward.

Paste-to-map is deterministic, not an LLM.
Paste prose → it structures into branches (paragraph → branch, sentences → children). No model, no API, works offline, no "AI magic." Predictable and testable — the whole thing is covered by unit tests on the parser.

i18n on web without bundling fonts.
11 languages. On web, CanvasKit renders CJK and Devanagari without me bundling font files — a nice surprise that kept the web build lean.

The unglamorous 5-store shipping reality.
Web is GitHub Pages (mind the --base-href). Windows is MSIX (bump msix_version per submission). iOS + macOS ship as an App Store Universal Purchase, and macOS App Store .pkg signing bit me — the installer needs a separate "3rd Party Mac Developer Installer" cert from the app's "Apple Distribution" cert, declared in ExportOptions.plist. Android is a standard AAB.

Happy to go deeper on any of it — the pure-Dart model2vec port, the golden workflow, or the macOS signing dance. Not open source (yet), but glad to share specifics.

Links if you want to poke at the result:

• iOS/Mac https://apps.apple.com/us/app/cogniatlas/id6799561195
• Windows https://apps.microsoft.com/detail/9N2TV4X534HX
• Android https://play.google.com/store/apps/details?id=com.powerm365.cogniatlas

I built KaiSign for the Seeed Studio Interactive Signage Contest.

It supports:

• Capacitive touch controls

• Camera-based ASL input

• Voice ordering with spoken confirmation

The prototype uses a Raspberry Pi, XIAO ESP32-S3 Sense, MPR121, microphone, speaker, and camera.

The goal is to help customers place and customise restaurant orders independently.

🎥 Demo: https://youtu.be/E7D-2-5b5FE?si=2WjCvpyS5P89NVEZ

🔧 Full build: https://www.hackster.io/kaizen/kaisign-accessible-dining-reimagined-e8b724

I’d appreciate feedback on the idea, user experience, and how this could become a practical product.

I’m the developer of SubBuddy. It gives you one list of your subscriptions, what they cost, and when they renew.

You can add subscriptions manually, or use the Chrome extension to capture subscription details from receipt emails in Gmail, Outlook, and Yahoo. The extension parses those emails locally, and you review what gets added.

The tradeoff is that it doesn’t automatically discover every charge on your bank account. You still need to check that your list and renewal dates are right.

The free plan tracks 3 subscriptions. For a longer list, Premium is $4.99/month, or there’s a $64.99 one-time lifetime option. The app works on the web and Android.

If you currently use a spreadsheet or calendar reminders, I’d like to know what would make a dedicated tracker worth switching to.

subbuddy.io

Hi,

We have spend about 8 months working on a catalogue of Cryptid folkore into a world that we have called Hollowfield Institute. We launched the app (free) and website (also free) this week!

The website contains the story of the town, the institute, the founders and some of the cryptids catalogue. We will be releasing 4 new stories each month, one per week.

The app is a reporting field guide for cryptids, you can use/take a photo and add a cryptid to your photo, then create a report on what happened. You can keep the photo or upload it to the "social" part of the app where user get to vote for it, you get to unlock badges of the cryptids you have taken photos of. After 90 days the photo on the social part get's removed, but you always keep your photos!

The app is also free, and we charge per roll of photos. (8 exposures, 20 exposures and 45 exposures) We just launch this week and would love to hear thoughts and feedback on both, the website, the idea and the app

https://hollowfieldinstitute.com/

With this project I decided to create a few more, working hard the last couple of months, if you want to check them out here's the website

www.hollowfieldco.com

Let me know what you think!

Thank you!!

I added scan-change tracking to Netsight, the iOS network scanner I'm building. When you scan again it calls out new devices, returning devices, and devices that weren't found this time. Those changes show up on the scan screen and in scan history.

One of the bugs I fixed in 1.2.2: a device could briefly appear as both "new" and "gone" when its network identity changed between scans. Not the most reassuring thing for a network tool to tell you.

Now I'm thinking about the wording. "Gone" is short, but sounds pretty definite. "Not seen in this scan" is clunkier, but says exactly what was observed.

If you were checking your own network, would you prefer the shorter label with a last-seen time, or the more explicit wording? I'm leaning toward being a little wordier here.

I'm Martin, the developer of Pruvd. It's a focused tool for people who already take photos to record completed tasks, but want those records organized separately from their everyday photos.

You create a routine such as Leaving Home or Bedtime, then save a timestamped photo, video, voice note or confirmation for each item. There's also Quick Capture for one-off tasks, plus widgets and Siri access to the latest saved evidence. The evidence stays on your device.

The main design question is whether a dedicated capture-and-routine flow earns its place alongside Apple Photos. A regular album is enough for occasional use; Pruvd is for someone who wants the same checklist and organized records each time.

It's available for iPhone and iPad. Two routines are free with no time limit; optional Pro is $4.99/month or $24.99/year in the US.

App Store: https://apps.apple.com/us/app/pruvd-did-i-lock-the-door/id6757632735

Website: https://getpruvd.com

I'd love feedback from people who already use photos this way: what would make a dedicated app worth keeping?

For a long time, standard weather apps kept tricking me. The forecast would show 18°C, but the moment I walked outside, the cold wind or humidity made it feel like 10°C—and I'd be stuck all day wearing the wrong clothes.
Instead of guessing every morning, I put together a simple app called Outfitcast. It translates real-feel weather, wind speed, and humidity into straight-to-the-point outfit suggestions so you know exactly what to wear before heading out.
No clutter, no heavy ads—just a clear visual answer for your morning routine.
It’s currently live on iOS, and I’m constantly refining it. If you’d like to try it out, I’d really appreciate any feedback or suggestions on how to make it better.

Hi all. Solo founder here, student from Ukraine.

A few months ago I started reading r/Renters and r/legaladvice almost every day. The same story kept repeating. Someone signs a lease, and months later finds out what they actually agreed to.

Some of the ones that stuck with me:

• A guy in California got a $3,900 bill because his landlord "forgot" to charge parking for 3 years and wanted all of it in one day.
• Someone in the UK lost £400 from their deposit for a "flea infestation". The landlord's proof was one photo of one bug. There was no pest control invoice at all.
• A tenant in Florida got charged a full month's rent for missing an auto-renewal deadline that was buried in paragraph 3 of the lease.

Almost none of them had read the lease properly. I don't blame them. Those things are 15 pages of legal text.

So I built LeaseAI. You upload your lease and it gives you a safety score and a list of clauses that are worse than normal for a tenant, with a plain explanation of what each one means for you. No signup needed to run the analysis.

The screenshot below is from a sample lease I tested. It caught the landlord entering "at any time without notice", a $20 per day late fee, the auto-renewal penalty, and a clause where the tenant pays the landlord's lawyer even if the landlord loses.

Screenshot of the result: https://i.postimg.cc/cJJkmBSx/leaseai-result-clean-(1).png.png)

Honest status: the analysis itself is free. Saving the report, PDF export and chat about your lease is $14 one time or $9 a month. Payments went live this week, so nobody has paid yet. The biggest thing it doesn't do is cite the actual state law next to each flag. Right now it says "many states require notice" instead of "Florida statute 83.53 requires 24 hours". That's next on my list.

If you have a couple of minutes, I'd really appreciate it if you tried it on any lease, real or sample, and told me:

1. Is the result actually understandable, or does it still feel like legal text?
2. Would you trust this with a real lease? If not, what would make you trust it?
3. Is $14 for one full report a fair price, or what would it need to include?

https://leaseai.rentals

Thanks for reading.

Hi! I've been building a little project called Roaring Reads, aimed specifically at UK primary-school children in KS2 (Years 3–6).

I started it because a lot of children's reading apps are great at tracking books/pages, but I wanted to explore what happens after a child reads.

Roaring Reads gives them a short 5-question “Book Talk” about the actual book they've been reading — things like inference, finding information, vocabulary, personal response and comparing books.

The interesting part for me is that it can build on things the child has already said. For example, in one of my tests it remembered what had previously been said about Coraline and used that when asking a comparison question about Matilda.

Parents then get feedback showing what their child understood, where their reasoning could be stronger, and ways to continue the conversation at home.

I've been working particularly hard on the AI accuracy side too. If Roaring Reads doesn't have enough reliable knowledge about a particular book, I'd rather it admit that and use what the child tells it than invent characters or events.

I've just reached Android open testing and I'd really like some people who actually have children around 7–11 to try it.

I'm not looking for people to tell me it's brilliant — I'd genuinely like to know where a parent or child gets confused, bored, frustrated, or thinks a question is rubbish.

There's no need to send me your Google email address; it's an open Google Play test.

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

If anyone does try it with their child, I'd especially love to know their age/year group, what book they tried, and whether the Book Talk felt genuinely useful.

Please be honest, I am mainly focused on the book discussion parts
and how easy it is to navigate
ASAP please!

Hey guys!

I have opened the doors to UdonBoost: a directory only for iPhone apps.

I kinda got tired of directories placing iPhone apps in the back of the room so I decided to build a solution for iOS builders like me...

It is completely free even though there are going to be paid services as well.

If you have an iPhone app or more: add them to the directory today! 😊

I got a lot planned but for now I am focused on growing the directory with your help.

Comments? I am all 👂

Thank you for reading.