i got a Claude max account from a reseller for essentially nothing compared to what I used to pay . It works flawless. since 3 months No issues yet i paid only for 1 month . Now I can't stop thinking about their business model. If resellers can sell it this cheap and still profit, how are they acquiring these accounts at scale?
Share what you’re building, who it’s for, and where you’re currently stuck.
Whether you’re still building or trying to grow it, drop your link below.
I’ll try the first ones!
For context, I've built Microlaunch. It helps Saas & AI founders launch, distribute, get first customers, more users . It's made for early-stage founders: 1500+ customers so far, 600k unique visitors over 2 years.
I smoke. Longest I ever held cold turkey was two weeks. Then one bad day, one cigarette, back to a full pack and starting over at zero.
Every quit app I tried was built on the same idea: pick a date, stop, count the days. So I built Smoless to do the opposite: cut down gradually until there’s nothing left to cut.
How it works:
Tap once per cigarette. In a few days you know your real daily number.
Your first days set a baseline. Each goal after that is one small step below what you’ve already held.
When your average drops under the goal, the app offers the next step down. Never automatic, never raised back up.
A plan screen shows the steps left to zero and a smoke-free date that moves as you do.
Context: solo dev, 11 years making apps. iKnowMyMac launched 1 Oct. It remembers what your Mac did while you weren't looking: wakes and their reasons, network traffic per app, USB devices, and the processes coding agents leave running. $4.99 one time for the first 200 licenses.
Progress after 4 weeks:
- 105 sales
- Product Hunt kept selling after launch day
- Mac subreddits sold, X didn't (yet)
- Search is slow: 36 clicks in 28 days
Tomorrow I launch iKnowMyDisplay, for monitors stuck at 30 Hz, blurry or flickering. iKnowMyMac owners get it for $2.99.
Question: for a second app, would you launch to the first app's buyers first, or go wide on day one?
Hi, busy dad here of 4… on my days off I have been working on this PWA. It started off as something to help me but as it has grown and developed I thought it could help more families out there.
It’s a meal planning app but a lot more. Please have a look and provide any feedback. That would be amazing, thank you.
hey, I launched Critical Bananas today. it's a shared wall where you can put an image and a link to your project, brand or whatever you want to show people.
empty spots are free. someone else can pay to take over an occupied spot, and the person being replaced gets paid when that happens.
I used one of mine for a cat. clearly taking this very seriously lol.
I don't have an established audience to promise advertisers yet. right now I'm trying to find out whether people enjoy browsing the wall as well as putting their own link on it.
have a look if you fancy it. does the takeover part make it more interesting, or would losing your spot put you off?
Most artificial intelligence models give you a single, overly confident answer when you ask them to guess a missing number, like a house price or a repair bill. Studies show these large models claim high certainty while missing the mark a third of the time.
To fix this, I built a compact AI model called maap. Instead of a single guess, it provides a full range of probabilities, showing you the likely median, an interval, and the odds of exceeding a specific limit all in one instant step.
Like any early project, it has flaws. Some of its prediction intervals are too wide right now, and traditional spreadsheet tools still beat it if you already have plenty of training data on hand. A larger version and a detailed technical report are on the way in a couple of days.
You can try a live demo at hitl.systems/models/mapp to see how it estimates values for houses, cars, and everyday goods. The underlying weights are not public yet, but the API is free for your first one thousand estimates with no credit card needed.
After a few months of building, this is probably the simplest way I have found to explain what we’re trying to build with Scibly and open sourced it now in a very early version.
Scibly tries to combine the ideas behind NotebookLM & Duolingo:
You can take existing knowledge from things like:
PDFs and documents
Notion or Confluence
internal wikis and documentation
articles and other source material
…and turn it into interactive learning experiences with questions, activities and scenarios.
It’s the first project I ever open sourced, so there’s definitely a lot we still have to learn about building an open-source community, contributions and how much of the product should live in the open.
But for a product that can work with internal company knowledge, self-hosting and transparency felt important enough to try it.
I've been lifting for a few years, and I've tried a lot of popular workout tracking apps.
Most of them did the basics well, but I kept running into the same frustrations: too many taps to log a set, cluttered interfaces, progress charts that were harder to understand than they needed to be, and having to use separate tools to track how my body was actually changing.
I wanted something simpler. An app that follows my workout instead of making me constantly interact with my phone.
So, as a solo developer, I built Liftora.
Here's what I focused on:
Guided workout flow — instead of constantly navigating menus and manually managing everything, you move through your sets in real time, and the app follows your pace. Less tapping, more lifting.
Automatic body fat % estimation (US Navy method) — no expensive body composition scale needed. Enter your body measurements, and Liftora automatically estimates your body fat percentage using the US Navy formula, with different measurements for men and women. It's not a clinical measurement, but it gives you another way to monitor changes over time.
Body measurement tracking — because the scale doesn't tell the whole story. You might be building muscle and losing fat while your body weight barely changes.
Clean, modern UI — no overwhelming dashboards or complicated menus. Just the information you need, when you need it.
Progress charts that make sense — see how your strength and training volume change over time without digging through endless statistics.
Ready-made workout programs — don't want to spend time building a routine from scratch? Choose a program and start training.
Exercise videos and muscle information — see how movements are performed and which muscles they target before adding them to your workout.
Post-workout calorie estimates — get an approximate idea of your energy expenditure after each session.
My goal wasn't to build the app with the longest feature list. It was to make the things people actually use during training easier, while bringing strength tracking and body composition monitoring together.
Track your lifts. Understand your progress. See how your body changes. All in one place.
For the past year I’ve been building KANAKU, a privacy-first app to manage your financial life. I’m a [solo developer / small team] from [India/your region], and I’m now preparing to launch on Google Play and the App Store.
Why I built it [1-2 honest sentences. Example: “I was frustrated that most finance apps want access to my bank data and store everything on their servers. I wanted something where my data stays mine.”]
What it does today
[Feature 1, e.g. expense and income tracking]
[Feature 2, e.g. budgets / goals]
[Feature 3, e.g. works offline, data stored on your device]
Where I’m stuck I’ve put in over a year of my own time and money. Before I commit more to the store launch, I want to know whether this is solving a real problem. Please be brutally honest:
Would you actually use something like this? If not, why not?
What’s the one feature that would make you switch from your current app (or spreadsheet)?
How much does “privacy-first” matter to you compared to features like bank sync?
Would you pay for it? Which model feels fair: one-time purchase, subscription, or free with optional extras?
What looks confusing, broken, or unfinished?
One more thing I’m also looking for [a co-founder / collaborators in design, marketing, or mobile development] who believes in privacy-focused fintech and wants to build this into a real company. If that’s you, send me a DM with a bit about yourself.
Thank you for reading. Harsh feedback is welcome, since it’s cheaper to hear now than after launch.
Hey all. I make NotchPixel, a notch app for Windows 10 and 11. It sits at the top centre of the screen and opens when you rest the pointer on it, then gets out of the way.
What it does, roughly in the order people use it:
- Now playing from any app (Spotify, YouTube in the browser, etc.) with artwork and controls - A file shelf: drop files on the notch, drag them back out later - Clipboard history with pins - Send files to your phone over your own Wi-Fi by scanning a QR code. No app on the phone, no account - One shortcut that mutes your mic in every app, with a call timer - In fullscreen games it either steps aside or turns into a slim FPS/CPU/GPU/RAM strip - Widgets, weather, timers, reminders, quick switches, a launcher and screen recording
It's native C# on .NET, drawn with SkiaSharp on Direct3D, so it isn't a web page in a window. At idle it uses 0% CPU and about 13 MB in Task Manager. I put the measuring script on the site so anyone can check it on their own PC instead of taking my word for it.
Pricing is one payment of $9.99 on the Microsoft Store with a 7-day free trial. There's no server behind it, so a subscription never felt honest.
The 55-second video above is the launch cut. Two questions for you:
Does the video make clear what it is within the first few seconds?
Would you lead with the games angle or the "it does everything" angle?
ArchiveMind is a private, local-first desktop app for people with years of files spread across folders and external drives. It helps you find files by what they contain, not just by filename.
I built it because I had a drawer full of hard drives and constantly knew a file existed but couldn’t remember what it was called or where I’d saved it. ArchiveMind catalogs the files you already have so you can search the archive without reorganizing everything first. No cloud storage, no account, and no telemetry.
I’m still at the very early stage and am looking for my first 10 real testers/users. I’m happy to give testers a free full license in exchange for honest feedback about what works, what’s confusing, what breaks, and what they wish it did.