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Python Patterns is a developer tool, library, or framework for building, testing, or maintaining software.
Awesome Design Patterns is a GitHub repository or organization with source code, releases, documentation, or project resources.
Dark Patterns is a curated directory or link collection for discovering useful websites, tools, and resources.
Dark Patterns Detective is a miscellaneous web resource for discovery, directories, archives, web culture, or useful tools.
Dark Patterns Tip Line is a miscellaneous web resource for discovery, directories, archives, web culture, or useful tools.
Deceptive Patterns provides educational videos, lessons, tutorials, or self-learning resources.
Java Design Patterns provides educational videos, lessons, tutorials, or self-learning resources.
Patterns helps discover apps, SaaS products, no-signup tools, clones, or software alternatives.
Subtle Patterns is a design resource for UI work, graphics, templates, inspiration, or visual archives.
Learn Agentic Patterns provides AI-assisted learning, courses, tutorials, or study support.
Patterns for Building LLM-based Systems & Products provides machine-learning models, research, training resources, or evaluation tools.
Analyzes Reddit users to show activity, common subreddits, vocabulary, and posting patterns.
Estimates a Twitter user’s likely sleep schedule from posting times and activity patterns.
Curated list of self-hostable SaaS ideas, deployment patterns, and tools for building independent web services.
Code search engine for finding strings and patterns across public GitHub repositories.
AI design tool to turn prompts into production-ready UI. Use your design system, generate prototypes fast, and collaborate.
Domain intelligence tool for researching WHOIS data, ownership patterns, and connected domains.
GitHub dorking tool for finding exposed secrets, files, and sensitive patterns in repositories.
GitHub cheatsheet of Google dork operators and search patterns for finding exposed information.
Collection of prompt patterns, experiments, and research around agentic AI workflows and prompting strategies.
. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
DDoS visualization map showing large-scale attack traffic and internet disruption patterns.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.