# MiladiCode/3D-startup-app

Repository: https://github.com/MiladiCode/3D-startup-app
Canonical: https://ross.abutalabs.com/products/3d-startup-app
License Family: other
Last push: 2025-04-22T01:27:42+00:00

## Health v2 (maintenance only)
Score: 28/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 17, release rhythm 35, longevity 39
- inputs: {"age_days": 548, "days_push": 499, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1004, forks 37 (observed 2026-09-03T02:15:06.692051+00:00)

## What it is
A tutorial repository accompanying a YouTube video series on building modern, interactive 3D websites with HTML, CSS, and Spline. It covers creating and embedding 3D models, adding animations, and building responsive 3D landing pages.

## Use cases
- embed a 3D model into a website with html and css
- learn spline 3d design for web projects
- build an interactive 3d landing page
- add smooth animations to a 3d website
- optimize performance of 3d web content
- follow a beginner tutorial on 3d web design

## When to choose
- you want a guided, video-based walkthrough for adding Spline 3D models to a website
- you are a beginner learning HTML/CSS with a modern 3D project
- you need a starter codebase for a 3D landing page

## When to avoid
- you need a production-ready 3D framework or library rather than tutorial material
- you want advanced WebGL or Three.js development beyond Spline
- you need documentation or an API rather than a learning example

## Facets
- artifact type: learning-resource
- maturity: active
- function: ui-components, animation, frontend-framework
- domain: web-development, frontend, tutorials, web-design
- platform: cross-platform
- tags: spline, 3d-website, tutorial, html-css, landing-page, beginner-friendly, web-server

## Member repositories
- MiladiCode/3D-startup-app (main) score 28

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:06.692051+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:13:48.842764+00:00, confidence not recorded.
  - readme: https://github.com/MiladiCode/3D-startup-app (fetched 2026-09-03T02:15:06.692051+00:00, sha 5bf2f549dd4f)
- Data as of 2026-08-30T08:39:29.467469+00:00.