
AKARI House
The growth house for founders, creators and investors
What it does
AKARI House is a curated Web3 growth and relationship platform where founders, creators, investors and strategic partners connect around real opportunities. Founders can join X Spaces, project spotlights and networking for free, while teams that need deeper support can access GTM strategy, creator/KOL campaigns, community growth, paid marketing and permission-based investor introductions. One ecosystem for visibility, relationships and execution.
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Growth Hacking Framework for Notion2021 · ▲184A free template to organize all your growth initiatives

- MSMakers.so – A website builder inside Figma2022 · ▲180
Founder here. Makers.so is a Figma Plugin to build and publish sites without ever leaving Figma. Here’s a demo [0]. As a front-end developer I constantly go from Figma to code / site, but it’s tedious… I decided to automate the process with this plugin. It works great for simple projects like: - Landing Pages - Portfolio / Personal sites - Resume sites - Careers / Wiki sites So, not a Webflow / Framer competitor (yet). Webflow and Framer are amazing tools, but if you are in the Figma ecosystem, it's boring to duplicate your work on a different tool. I'm trying to make…
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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