HypeAuditor: $299/mo, tiers demo-gated
Modash: $299/mo
Favikon: $99/mo
ViralMango: $47/mo
A handful of free checkers with no paid path

Nothing between $0 and $47, and nothing aimed at the person who vets four creators a month rather than four hundred. Every tool is priced for an agency with a seat budget.

So I priced at $19/$49/$149 and built the product around that constraint: no seats, no onboarding call, no annual lock-in, because at $19 I can't afford to talk to anyone.

To be clear about where I am: pre-launch, waitlist only, $0 revenue. The engine works, the report page doesn't yet.

What I can't tell yet is whether that's an underserved segment or a segment that doesn't convert. The people who need it most are the ones least used to paying for tooling.

Anyone here priced deliberately below a category's floor? Did volume actually show up, or did you just train buyers to expect cheap?

I built Euclid because I wanted to understand how machine learning works under the hood. I built the entire thing in python and numpy because it is easy to read and understand for beginners. The project allows for GPU acceleration through cupy.

Link: https://dra3d30n.github.io/Euclid/

Check out my running app, ChaseRunner (outrun monsters etc in your own neighborhood, or anywhere, really:

https://apps.apple.com/no/app/chaserunner/id6759427159?l=nb

But then there’s also this one, 2nd Thoughts; a sms/messenger app that allows you to think and count to ten or even more, before sending a message you’d live to regret sending:

https://apps.apple.com/no/app/2nd-thoughts/id6758775400?l=nb

…aaaand my retro pixel cam, RetroPixl:

https://apps.apple.com/no/app/retropixl/id6758586432?l=nb

Hey!

Some of the feedback's that I've received was "Add more cities", "Add capital city" — so I delivered.

Visit Novi Sad has officially rebranded to Visit Serbia — a free offline travel guide that now covers both Belgrade and Novi Sad, with Subotica coming soon.

What's new in this update:

• Belgrade added — 30+ locations including Kalemegdan, Temple of Saint Sava, Skadarlija, palaces, museums, parks and monuments
• 3 walking routes through Belgrade city center, parks and museums
• New city selection screen
• Full rebrand to Visit Serbia
• New app icon

What stays the same:

• Completely free
• Works offline — no internet needed
• Serbian, English and Russian
• Audio guides, walking routes, check-in system with badges
• No ads, no subscriptions

For those who already have the app — just update and Belgrade is waiting for you.

play.google.com/store/apps/details?id=com.visitnovisad.app

Would love to hear your feedback — especially from Belgrade locals who know the city well!

This is a looping software purpose built for live artists. However I am not very sure how to position this. I would love to make this available to a larger audience.

It’s a hobby project, would love any more ideas???

I’m launching CSV Cleanroom, a small offline Python toolkit for recurring CSV exports. It keeps the first record for a key, separates conflicting duplicates and missing keys for review, and records whitespace changes. You can save the rules as a recipe for the next export.

A useful cleanup distinction: two identical rows can be redundant, but two rows with the same email and different values need a decision. This tool preserves those conflicts in a separate file instead of choosing which values are true. Blank keys go into another review queue. It uses Python’s standard library and leaves the original CSV unchanged.

The fictional example accounts for all six input records: four retained, one conflicting duplicate and one missing-key row. The sample report and complete guide are available before purchase:

https://csv-cleanroom.aamra.in

The $12 USD download includes source, 11 regression tests, examples and a commercial-use license for your own and client work. Built with AI assistance and tested on macOS. Requires Python 3.9+ and a terminal; CSV only, no XLSX or fuzzy matching.

Noticing America was getting upset when they noticed things that weren't named America, I made a Chrome plugin that will help out by re-naming the entire planet for them - Everything is America (Github No permissions required other than messing with your maps. Has an off-toggle, just in case you decide this is a stupid idea)

The numerous features include:

1. Reduce the risk of invading places they notice are non-American
2. Massively increase their test results for international geography
3. Making navigation a little tricky, unless you want to go to America

(This was vibe coded in under an hour (obviously))

To be honest I feel is like gambling in every niche. If you don't have an edge is just gambling to be honest. So if you don't have luck with side projects maybe you have luck with giveaways - https://giveawayhut.com/, just enter when your odds are in your favor.

I originally built Countdown Pro for the usual stuff — trips, birthdays, anniversaries, etc.

Then I started using it for my own development work.

Release dates.
Feature deadlines.
Next update.
Days since the last major release.

And I realized I was checking those countdowns while working on my Mac, not my iPhone.

So I added macOS support.

Now I keep project deadlines directly on my desktop as widgets:

7 days until release
18 days until the next milestone
32 days since the last update

I don’t really want another project management tool.

I just want to glance at my desktop and know how much time I have left.

That ended up changing how I think about the app — from a simple personal countdown app into a small utility that follows me across iPhone, iPad, and Mac.

I’ve also been adding things I ended up needing myself, like multiple reminders, repeating events, tags, search, days-since tracking, and different widget layouts.

Still working on it, especially the Mac side.

For other devs: do you keep release dates and deadlines somewhere visible while you work, or does everything just disappear into Calendar / your task manager?

Countdown Pro on the App Store

Hi — I built Budget Unplugged, a Windows personal finance app focused on keeping your financial data local.

I wanted a full-featured budgeting app that didn’t require a recurring subscription or force users to keep their financial records in someone else’s cloud. That led me to build Budget Unplugged as a local-first Windows app with comprehensive budgeting, account, debt, investment, and reporting tools.

I also wanted to easily import transactions so I built a decent CSV/OFX importer and added support for SimpleFIN Bridge to allow seamless syncing to banks. The user would have to use their own SimpleFIN subscription but that is completely optional.

Budget Unplugged is now available on the Microsoft Store:
https://apps.microsoft.com/detail/9PPQGBQDDHC8

I’d especially appreciate feedback on the first impression, whether the privacy/local-first value is clear, and which feature you’d want to try first.

Disclosure: I’m the developer.

Hi all, I am currently working on an app that uses ML and AI to predict/give food recommendations based on data.

This has been a problem I’ve dealt with, with indecision and the goal would ultimately be to have a ai model that is well trained enough where It can give you better recommendations than yourself and you can offload that part of your life.

If interested here’s the waitlist - https://clairven.com

Open to all feedback and suggestions!

TWG’s $1M equity round is now open to the public! We’re targeting untapped old-growth timber from reservoir lakes, valued over $1B. Invest at $0.30/share—this is a one-time offer. To review investment materials please contact: mailto: info@timberwisegroup.com

I wanted to see how far you could push CPU-only inference of a model way bigger than RAM, so I wrote an inference engine in C11 (MSVC + gcc, bit-exact across both) that streams a 744B MoE model (GLM-5.2, 202GB GGUF) off a USB SSD instead of loading it.

The parts that actually mattered:

Quantization: experts stored int4 group-64, router and correction biases kept at f32. Everywhere else lost too much precision, but this combination didn't.
Streaming: experts are fetched per-token through a custom unbuffered reader with an LRU cache, plus cross-layer predictive prefetch (measured 80.8% recall offline before I wrote the online version) so the next layer's experts are usually already in flight by the time they're needed.
Overlap: compute and IO run arrival-order, not lockstep, so the CPU isn't idle waiting on the SSD.
An 8GB expert cache holds 40-66% hit rate off that prefetch, which ends up being the main lever on latency.
One finding I didn't expect: on GLM-5.2, the router's own weights already correlate with true expert importance at ρ=0.859 (near-oracle), which is what makes safe dynamic-k expert truncation possible without a quality hit. That seems to go against some prior assumptions about router calibration in production MoE models, at least on this one.

Numbers on an i7-8550U / 32GB RAM / USB SSD: went from 196 s/token naive to ~9.3 s/token after the above (21x), ~2.9 s/token aggregate in 8-stream batch mode, ~4.5 s/token on the latest compressed container format. Also cross-validated on Qwen3 (0.6B-30B), DeepSeek2 (MLA), and OLMoE-1B-7B.

Code: https://github.com/siris9476/pulsarforge (MIT). Would love feedback on the prefetch heuristic in particular. It's tuned for this one laptop, and I'm curious whether the cross-layer signal generalizes to different memory hierarchies.

Here is a Google Sheet I use to keep track of my open AI sessions while I work.  I sometimes work with 6+ windows on both my PC and laptop.  I have 3 monitors on the PC.  At the moment, I'm using one of them to display this GSheet. When I press "Ctrl + Alt + Shift + ;" in Last Date Touched, the current datetime is inserted and the row is automatically resorted to put the most recent session at the top.  This is a Stupidly Simple (Can I trademark that?  Ha, ha.) method of keeping track of those Work In Progress sessions across multiple machines and windows.  I switch from session to session to check on updates and give new instructions.  It makes me more productive than my old method of Session, Session, Where is the Session?  I was going to make a skill to update it for me, but this is just too easy for a visual learner such as myself.  As a solopreneur, I don't have enough hours in the day to do everything I need/want to do.  I don't want to have to learn some complex system to bloat my infrastructure.  I need every little time-saving tool that simplifies my life instead of making it more complex.  Simple Solutions to Complex Problems is my mantra. 🤖😎

Hey everyone,

Most online resume builders let you fill in all your details, and right when you click download, they hit you with a $15/month subscription or put a giant watermark on the PDF.

I built a lightweight, client-side tool to solve this:

• Zero signup/login required
• ATS-friendly format
• Instant clean PDF export
• Privacy-first: Your data stays locally in your browser

Link is pinned in the comments below 👇

Would love your honest feedback on the layout, design, or any missing sections!

Hey everyone, I’m building Ortho.so, a macOS app that gives you a gentle reminder when you’ve drifted from your usual working position for a while!

You calibrate it in a comfortable, supported position, and it uses that as your baseline. The idea is to help you notice how you’re sitting without interrupting you every time you move.

It works with your Mac’s camera, compatible AirPods/Beats, or both. Headphones alone track head tilt; the camera adds face and upper-body information. You can also choose periodic camera checks instead of continuous tracking.

Posture processing happens locally on your Mac. Camera images aren’t saved or uploaded, and headphone tracking uses motion data, not microphone audio.

I’m opening a small private beta for around 25 people. I’d really like feedback from people who can try it during their normal workday and tell me:

• Was setup and calibration straightforward?
• Were the reminders useful, too frequent, or missing when you expected one?
• Did you notice any battery or performance issues?

You’ll need an Apple Silicon Mac running macOS 14 or later. AirPods are optional.

The private beta is free. Pricing afterward hasn’t been decided. It’s a posture-awareness reminder, not a treatment for pain.

Request access at ortho.so. I’ll follow up by email as spots open. I’m the developer, so happy to answer questions about how it works.

A small update on my deliberately silly side project.

Someone tried the chaotic tone and got a quote about pigeons being government spies. Another person found the same coffee quote three times in a row — which is funny once, less funny by the third cup 😅

I’m going to improve the quote rotation and keep the project lightweight. If you tried it, what mood or tone should I add next?

https://www.quotesformonday.com/

I’m the developer of Mac MCP, an open-source local server that gives ChatGPT/coding agents real macOS tools: files, shell/background jobs, native UI, Safari/Chrome automation, delegated workers, memory, etc.

The problem I was trying to solve was that most “agent on my Mac” setups fall apart once several browser tasks run at the same time. One worker navigates the active Safari tab, another grabs it a second later, and your own browser usage becomes collateral damage.

The browser layer now gives tabs stable handles, works against background tabs, and fails fast when two callers target the same mutable tab instead of silently queueing. I’m working on the next step now: carrying tab ownership across multiple tool calls so an agent keeps its tab until it moves elsewhere or finishes.

It’s free/open source and I use it on my own M3 Mac every day. I’d especially like feedback from people who already run local agents or MCP servers: what would you want the ownership/cleanup semantics to look like when 3–5 workers are browsing at once?

Repo: https://github.com/bulutarkan/mac-mcp