ArtifactGeeks
Building Future-Ready Software & Digital Experiences
What it does
Artifact Geeks is a leading software development and digital marketing company specializing in web development, mobile app development, AI solutions, QA automation, cloud & DevOps, UI/UX design, SEO, and performance marketing to help businesses grow.
Delivering cutting-edge solutions tailored to your unique business needs. This Web Designing Company in Jaipur provides you a new height to your Startup or Running Well established Business in online world. To make your dreams in the real world this website Development Company offering best choice in web development. Robust, scalable, and secure server-side architectures to power your complex business logic and databases. According to customer need here we are also work on different Software development on different Platforms. For customer requirement we develop highly competent and technically advanced Mobile Android application. To reach your business in the front of I-Phone Users we are…from artifactgeeks.com
Does the same job
all alternatives →
- E6Explore 6048 YC companies as an interactive galaxyJul 2026 · artifacta.io · ▲36

Artifacts by DataboxJul 2026 · databox.com · ▲412Ask your AI Analyst and get back a ready-to-share report


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 · 17d ago · simedw.com