
Ideapz
Find out if people would pay for your project idea
What it does
IdeaPz is a free tool that helps you find out if people would be willing to pay for your project and, if they’re interested, collect their emails so you can have potential customers before your project launches.
Validate your project idea by seeing if people would pay for it, or discover ideas and tools that could solve a problem you have.
Find out if people would actually pay for your project before you build it. Your email will only be shared with the creator so they can contact you about this idea. Featured ideas can collect interested emails, so you can reach out to potential customers when you launch. Take a look at what other people are building — there might already be something out there that solves it for you. "Hi, I'm the creator of IdeaPz. I've created a lot of projects before, and with every idea I always had the same question: would people be ready to pay for this? In the end, I spent a lot of time and energy on projects that nobody was interested in. The goal of IdeaPz is simple: help you see if people would be…from ideapz.vercel.app
Does the same job
all alternatives →More growth this month
the category →
AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com