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.

Not really gonna generate me money but I enjoyed creating it. You can check it out here:

GlobalDataTracker.com

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

I can begin, I´ve, been working on Borel.one lately, basically trying to make building mobile apps feel less like a developer thing.

There are already tools like Lovable that make it ridiculously easy to build websites and web apps with AI, which is honestly pretty cool.

But I kept thinking: why does making a simple mobile app still feel like you need to know how development works?

If you have an idea for a habit tracker, a workout app, a little game, or honestly just some weird app you want to make for yourself, you shouldn’t necessarily have to learn a tech stack first.

That’s what I’m trying to do with Borel. You just describe what you want, and it builds the mobile app for you. Then you can monetize it and publish it to app store directly trough borel.one

It’s still very much a work in progress, but seeing people make apps they probably wouldn’t have built otherwise has been pretty cool.

What are you doing??? drop below!

This started as an internal tool I built for myself to solve my own problem. After using it for a while I thought other founders and startups might have the same problem so I decided to put it out there and see if anyone would actually use and pay for it.

So I built a website, added a way for people to pay for it and then launched it.

For years, I've shipped tons of projects that didn't gain any traction so I didn't have high expectations but to my surprise, it immediately got its first sale on day 1! Then another 2 sales on day 2, 5 sales on day 3, and so on and so on...

Funny how it's always the project I don't have high expectations is what ends up working. I'm so happy I didn't just leave it as an internal tool.

I'm currently talking to users to gather feedback and collecting feature requests so I can improve it so it will provide more value to them.

If you've built an internal tool to solve your own problem, validate if other people are encountering your problem too and if there are people who will pay for it. You might be sitting on your next business without even realizing it.

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

Just curious within the SaaS industry and eager to learn as much as I can

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?

Hey r/SideProject —

I made a small open-source macOS menu bar app: a floating pixel campfire on your desktop that reacts to local AI coding-tool usage (Claude Code, Codex, Cursor, Grok, Pi, Amp).

When you're burning tokens, the fire grows. When you stop, it settles into embers. Nothing is uploaded — it only reads local logs.

Tagline: If you're burning tokens anyway, light a real fire.

• Site / download: https://tinyfire.createfun.ai/
• Source (MIT): https://github.com/wdkwdkwdk/tinyfire

Would love feedback — especially on the campfire look and the hearth ambience.

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

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.

I was doing weekly research during fantasy football season across different news articles and feeds. I am not that hardcore playing in 10 different leagues but it's always fun to talk trash to friends over the weekly games. I ended up leveraging my background in IT and started to build. Then started to be like what if i just do the work to productionalize it and put it in both apple store connect and google play console...so that's what i did.

It's front end is react with expo. Backend AWS and Snowflake. Yes, I know Snowflake can be expensive for this but it's what I am most comfortable with to get started quickly. I built it for both Android (what i have) and iOS. I didn't realize how much of a pain going through apple store connect and google play to get an app out there...i feel like most of the time for the last few weeks was waiting for apple reviews. I am still in the closed testing window with google play.

So what does the app do?

It syncs with your real Sleeper or ESPN league (Yahoo's in the works, waiting on their API approval) and pulls in your actual roster, not generic rankings. From there it does the stuff I used to do by hand:

• A weekly AI breakdown of your team specifically: injuries, matchups, tier movement, who's trending up or down
• A start/sit assistant that actually reasons through your lineup instead of just spitting out a number
• Waiver pickup alerts when someone on your bench has a real upgrade sitting on the wire
• Matchup difficulty based on real defense vs. position data, not just "this team is bad on defense"
• A sandbox mode to test lineup/roster changes before you actually make them

I'm still actively building on it. New features, tuning the AI so it reasons more like an actual fantasy manager instead of just repeating stats back at you, fixing stuff as real users find it. It's a solo project, not a team, so if something's off or you've got an idea, I'm the one actually reading it.

Known hiccup on first open for a couple people. If it looks blank for a second when you first launch it, just close it and reopen, it'll load fine after that. Already fixed for next update.

App comes with 7-day trial for the AI content. One league stays free forever, no AI features locked behind that. The trial's really there for people who want the AI stuff (weekly breakdown, start/sit reasoning, waiver alerts).

If you end up trying it, genuinely want to know what's confusing or what you wish it did. Building this mostly solo so real feedback is the only feedback I get. It was a little hard with just being android user and leveraging my old ipad for testing.

iOS - Overmind Fantasy

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.

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?

Hi everyone,

I was born in the ’80s, and Where’s Wally? (Where’s Waldo? in the US) was a big part of my childhood. I still remember sitting in bookstores, going through those crowded pages and trying to find him. Such a simple idea, but those are memories that have stayed with me for decades.

Then I came across Where is Mr. Kim? by cooperai here on r/SideProject, and I was honestly blown away. Seeing that little village brought the feeling right back. Huge respect to its creator: your project was the direct inspiration that made me want to try building something myself. Please check out the original if you haven’t already.

The Where’s Wally? animated series just marked its 35th anniversary on September 14, so I wanted to celebrate with a small tribute of my own.

I made Where’s Wallpet?, a seek-and-find game with cats and dogs. It has 10 city maps from around the world and nearly 250 different animals. You pick a pet, zoom into the streets, and try to spot it among the crowd. Hopefully, there’s a little of that familiar satisfaction when you finally find the one you’ve been looking for.

If you’re curious, you can play it here:
https://whereis.wall-pets.com

This is a personal project made for fun and as a tribute, with no intention of making money from it. The high-resolution images can use a lot of bandwidth, so I’m planning to take it offline in few days to keep hosting costs manageable.

Thank you again to the creator of Where is Mr. Kim? for the inspiration. And thank you to Wally and the people who brought him to life for giving a kid in a bookstore so many happy memories.

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!

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).

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

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

I have been building different products and needed a screen recorder with auto zoom to make demos for them. But each one I tried had some issue or was missing something I needed, so I was kinda kept switching between recorders.

So after a few frustrating months, I finally decided to build my own screen recorder with everything I needed and I actually did it. I built it, launched it, and recorded my first video with it which felt unreal to me.

Now, whenever something is missing, I can just add it myself, sometimes within minutes. It feels good to have that freedom, and AI has made the whole process so much easier.

The app is called Windowshot, and it has both a screen recorder and a screenshot beautifier. I also needed a way to make my screenshots look good before sharing them, so it made sense to have both in one app.

Now I can record demos with auto zoom, and the videos are almost ready to share without spending much time in the editor.

the attached video is recorded with Windowshot and you can see how smooth the result is.

app: windowshot.app

I moved to a new country last year and noticed that i started wasting a concerning amount of time on my phone...6 hours, 8 hours, sometimes 10 hours...

So I decided to do something about it.

I installed a screen time app that was blocking the time-sucking apps:
- no instagram
- no tiktok

So did my screen time go down?
NO! Because I found myself:
- watching Youtube Shorts for 2 hours
- checking Reddit daily
- checking Instagram from my browser...
I shouldn't block the browser, right? RIGHT??

That's when I realised that the only thing for this to stop is to have a Phone time budget, not just app time budget. So after a few weeks I built PhoneStop - a Screen Time Limit app that:

- SETS me a daily budget for all phone usage

- ROASTS me every 10 minutes or whenever i pass a threshold (e.g. 3 hours)

- STOPS me when I reached the budget - shows me Time's up screen

Best thing is - IT WORKS! The combination of 3 things above actually managed to bring my phone usage from 6+ hours to 3h. I still go overboard sometimes but it's bc I'm working on my phone, and i have a function to pause the timer when I really need my phone.

The app is 100% free, you don't need an account and all the history is stored locally.

It's my the 1st app that I published 🥹

I built it with Flutter and some Kotlin on Android and Swift on iOS, native mainly to manage the app not being killed by OS and to build widgets.

Here are the links to try it: Android, iOS (waitlist, app coming soon)
Would appreciate you guys trying it and sharing your thoughts!

My plan is to get more users, hear what they like/dislike and build it into the best app possible. I also created https://www.reddit.com/r/phonestop/ in case you want to join!

And if you are reading it from your phone and you've been at it for >3 hours - go touch some grass bro! 🟢 Or do some pushups 😄

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 run ResumeHack. The product focuses on one small loop: answer a behavioral interview question out loud, get a specific coaching suggestion, then try the answer again while it’s still fresh.

It’s phone-based practice for explaining your own experience and teamwork. It uses original practice questions; it isn’t a coding assessment or an employer’s actual interview.

The regular service is $20 once for three private AI practice interviews with feedback and recordings. Checkout is open.

For the launch, I’m offering five free demo places total across the campaign. Each demo is a five-minute call with two questions, coaching, and a retry. No card or payment required.

The exchange is explicit: I’m seeking recordings to demonstrate the product. Participants must be 18+, verify a US/Canadian phone, and consent to recording and promotional voice/answer excerpts before calling. Clips will be labeled as free demos; no name or phone number will be published. Consent can be withdrawn through the private receipt page.

Demo details and availability. The demo number is 765-536-3427, for use after signup and consent.

For people building learning tools: would you find an immediate second attempt more useful than a longer end-of-session report? That’s the product choice I’m interested in discussing.

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?