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Daily three-minute AI industry trends
AI industry milestones
AI monetization case sharing
AI image creation monetization cases
AI video creation monetization cases
AI audio creation monetization cases
AI content writing monetization cases
Free sharing of the latest AI tutorials
Shows total visits ranking of AI websites
Track fastest growing AI websites by traffic
Focus on AI websites with significant traffic drops
Shows weekly visits ranking of AI websites
AI websites most popular with US users
AI websites most popular with Chinese users
AI websites most popular with Indian users
AI websites most popular with Brazilian users
Total visits ranking of AI image generation websites
Total visits ranking of AI personal assistant websites
Total visits ranking of AI character generation websites
Total visits ranking of AI video generation websites
GitHub popular AI projects by total stars
GitHub popular AI projects by growth rate
GitHub popular AI developer ranking
GitHub popular AI organization ranking
GitHub popular deepseek open source projects
GitHub popular TTS open source projects
GitHub popular LLM open source projects
GitHub popular ChatGPT open source projects
Overview of GitHub popular AI open source projects
Password-protect URLs using AES in the browser; create hidden bookmarks without a browser extension
QOwnNotes is a plain-text file notepad and todo-list manager with Markdown support and Nextcloud / ownCloud integration.
A collection of bookmarks, resources, articles for product designers.
Flare ? Lightweight, high performance and fast self-hosted navigation pages, resource utilization rate is <1% CPU, MEM <30 M, Docker Image < 10M
Self-Hosted Bookmark And Archive Manager
Real fucking shellcode encryptor & obfuscator tool
Turn GitHub into a bookmark manager
A performant NumPy extension for Galois fields and their applications
Your visual bookmark manager
Shaarli Material is a theme for Shaarli, the famous personal, minimalist, super-fast, database free, bookmarking service.
Numpy-compatible bit generators and add some random variate distributions missing from NumPy.