Today's Other AI Tools: Fastest-Growing Projects — May 28, 2026
Today's the Other AI Tools category, we observe a diverse range of projects that cater to various applications and industries, from video project management to algorithmic trading platforms. One standout tool is "lanshu-awesome-ai-video-kit," which offers an extensive toolkit for managing AI-driven video content.
The "lanshu-awesome-ai-video-kit" provides a comprehensive set of tools and resources for handling AI video projects, including prompts, models, methods, and skills related to video processing. Its growth score of 73.67 indicates robust community engagement and active development over the past month, with 29 commits in 30 days.
Another tool gaining traction is "polymarket-ai-trading," which combines AI trading strategies with real-world prediction markets for algorithmic trading research. This repository aims to facilitate paper trading using OpenAI's GPT model alongside other technologies like SQLite and Docker. With a growth score of 33.89, it suggests that the project is steadily growing in popularity as more users contribute and explore its potential.
The "gpt-promo-scanner" tool automatically scans for promotional codes on ChatGPT's business platform across multiple countries and languages. It supports batch discovery, validation, and price collection with a high discount rate of up to 71%. This repository has seen significant growth, with 32 commits in the last month and an impressive 568 stars.
"Screen-capturer-pro," designed as a replacement for ScreenHunter Pro, is an AI-driven tool for screen capturing and recording. It offers advanced features for both capture and video editing. With 12 recent commits and 54 stars, it reflects steady user interest in its capabilities to simplify the process of content creation.
The "aiondb" project introduces a new database system built from scratch using Rust that is compatible with PostgreSQL, graph databases, and vector data types. Its high number of commits (100) over the last month indicates intense development activity aimed at expanding functionality and improving performance, earning it 39 stars so far.
In video processing, "video-frame-sampler" offers content-aware frame sampling strategies specifically tailored for large language models working with videos. Although it has seen only one commit in the past month, its growth score of 16.00 suggests a niche but growing interest from researchers and developers focusing on optimizing video data handling.
Among less conventional tools is "Windows-Activator," which provides methods to activate Windows and Office 365 using KMS activation keys. Despite its controversial nature, the repository has attracted a modest growth score of 13.38 alongside 93 stars, indicating interest from users seeking automated solutions for software licensing.
The "nte-cheat" project is designed to enhance gameplay in Neverness To Everness by offering cheats and automation tools such as bots, ESPs (Enhanced Situational Awareness), speed hacks, and more. With a growth score of 10.00 and 122 stars, it shows sustained interest from players looking for competitive advantages.
"Hghalebi/category_theory_transformer_rs" explores the intersection between machine learning, Rust programming types, and category theory to create executable structures rather than relying on AI magic. This project's growth score of 4.80, along with 103 stars, suggests a niche but dedicated community interested in theoretical foundations of software engineering.
Lastly, "awesome-ai-product-management" compiles resources for product managers working within the realm of artificial intelligence to help them navigate development and strategy challenges effectively. With a growth score of 3.96 and 52 stars, it highlights an ongoing need for structured guidance in AI-driven product management roles.
These tools reflect a broad spectrum of interests and applications within the AI ecosystem, from practical utility software to theoretical explorations, highlighting the dynamic nature of AI development across various sectors.
The "lanshu-awesome-ai-video-kit" provides a comprehensive set of tools and resources for handling AI video projects, including prompts, models, methods, and skills related to video processing. Its growth score of 73.67 indicates robust community engagement and active development over the past month, with 29 commits in 30 days.
Another tool gaining traction is "polymarket-ai-trading," which combines AI trading strategies with real-world prediction markets for algorithmic trading research. This repository aims to facilitate paper trading using OpenAI's GPT model alongside other technologies like SQLite and Docker. With a growth score of 33.89, it suggests that the project is steadily growing in popularity as more users contribute and explore its potential.
The "gpt-promo-scanner" tool automatically scans for promotional codes on ChatGPT's business platform across multiple countries and languages. It supports batch discovery, validation, and price collection with a high discount rate of up to 71%. This repository has seen significant growth, with 32 commits in the last month and an impressive 568 stars.
"Screen-capturer-pro," designed as a replacement for ScreenHunter Pro, is an AI-driven tool for screen capturing and recording. It offers advanced features for both capture and video editing. With 12 recent commits and 54 stars, it reflects steady user interest in its capabilities to simplify the process of content creation.
The "aiondb" project introduces a new database system built from scratch using Rust that is compatible with PostgreSQL, graph databases, and vector data types. Its high number of commits (100) over the last month indicates intense development activity aimed at expanding functionality and improving performance, earning it 39 stars so far.
In video processing, "video-frame-sampler" offers content-aware frame sampling strategies specifically tailored for large language models working with videos. Although it has seen only one commit in the past month, its growth score of 16.00 suggests a niche but growing interest from researchers and developers focusing on optimizing video data handling.
Among less conventional tools is "Windows-Activator," which provides methods to activate Windows and Office 365 using KMS activation keys. Despite its controversial nature, the repository has attracted a modest growth score of 13.38 alongside 93 stars, indicating interest from users seeking automated solutions for software licensing.
The "nte-cheat" project is designed to enhance gameplay in Neverness To Everness by offering cheats and automation tools such as bots, ESPs (Enhanced Situational Awareness), speed hacks, and more. With a growth score of 10.00 and 122 stars, it shows sustained interest from players looking for competitive advantages.
"Hghalebi/category_theory_transformer_rs" explores the intersection between machine learning, Rust programming types, and category theory to create executable structures rather than relying on AI magic. This project's growth score of 4.80, along with 103 stars, suggests a niche but dedicated community interested in theoretical foundations of software engineering.
Lastly, "awesome-ai-product-management" compiles resources for product managers working within the realm of artificial intelligence to help them navigate development and strategy challenges effectively. With a growth score of 3.96 and 52 stars, it highlights an ongoing need for structured guidance in AI-driven product management roles.
These tools reflect a broad spectrum of interests and applications within the AI ecosystem, from practical utility software to theoretical explorations, highlighting the dynamic nature of AI development across various sectors.