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Daily radar for the fastest-growing AI tools & repos

Today's Other AI Tools: Fastest-Growing Projects — May 27, 2026

This week, the Other AI Tools category on GitHub continues to showcase a diverse range of projects across various applications, from video project management and promotional code scanning to trading algorithms and database development. The standout tools this week are those that cater to specific niches within the broader AI ecosystem, such as managing business promotions for ChatGPT or providing comprehensive resources for AI certification preparation.

The "lanshu-awesome-ai-video-kit" repository by cclank has seen significant growth with a score of 85.25 and accumulating 122 stars. This tool kit is designed to support enterprise AI video projects, offering an extensive collection of prompts, models, skills, and methodological approaches. The high number of commits in the last month indicates active development and community engagement around this resource.

The "gpt-promo-scanner" by JUk1-GH has garnered 563 stars with a growth score of 34.28. This tool is an automated scanner for ChatGPT Business promotional codes, enabling users to discover, validate, and collect discounts across multiple countries. The extensive user base and regular updates suggest strong community interest in managing promotions effectively.

The "polymarket-ai-trading" project by thinkpixelIab focuses on AI-driven trading strategies for Polymarket prediction markets with a growth score of 25.54 and 198 stars. It integrates OpenAI GPT, CLOB, Kelly mean reversion, SQLite, Node Express, Docker, Render Vercel, and other tools to facilitate algorithmic trading research and forecasting in the crypto space. The relatively lower commit activity compared to its star count might suggest a focus on stability and documentation.

"ayoubnabil/aiondb" is an innovative PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust with a growth score of 22.86 and 37 stars. This project's high number of commits over the last month indicates active development and community contribution to creating a robust alternative for data management needs.

"gazelleandrewrasmussenmouj2/Windows-Activator" has grown steadily with 93 stars and a growth score of 14.59, offering Windows KMS activation utilities for Office 365. The repository's low number of recent commits suggests it may be maintaining rather than actively developing new features.

The "LUPUL64348/NTE-cheat" project has gained attention with 122 stars and a growth score of 11.67, providing cheats for the game Neverness To Everness that include auto-fishing capabilities and other enhancements. The low number of recent commits might indicate that the core functionality is well-established.

"hghalebi/category_theory_transformer_rs" has a modest growth score of 4.96 with 102 stars, focusing on Tiny ML in Rust using category theory for executable structure rather than AI magic. This project's niche focus and theoretical approach to machine learning indicate a specialized audience interested in foundational concepts.

"IrtezaAsadRizvi/ai-megalist" has compiled an extensive index of over 200 AI tools with detailed write-ups, earning it 27 stars and a growth score of 3.78. This repository serves as a comprehensive guide for professionals looking to compare different AI tools across various categories such as coding, design, research, video, voice, agents, music, and local LLMs.

"Thiago-code-lab/aws-certified-ai-practitioner-brasil" has gathered 60 stars with a growth score of 3.75, providing Portuguese-language resources for preparing for the AWS Certified AI Practitioner exam (AIF-C01). The repository's active development and resource-rich content cater to an audience seeking localized support in their certification journey.

Lastly, "StChiotis/Library-First-Engineering" has a growth score of 3.50 with 36 stars, promoting a unique approach to software engineering that emphasizes human thinking, AI processing, and documentation truthfulness. This project's focus on foundational principles and best practices resonates with developers aiming for robust library design.

These projects collectively highlight the breadth and depth of innovation in the AI space, from practical tools to theoretical explorations, catering to diverse needs within the developer community.
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