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Category: AI

OpenRouter

OpenRouter

Unified API platform for accessing and integrating over 400 AI models from providers like OpenAI, Anthropic, and Mistral. Supports model routing for cost and performance optimization, consolidated billing, and multi-model workflows for streamlined AI development.

Daily Active Users<10
Website
GitHub
Discord
Hugging Face

Hugging Face

Open-source platform for sharing, training, and deploying machine learning models, with a focus on natural language processing and computer vision. Provides a central Model Hub, libraries for model development and inference, and APIs for integrating AI into applications.

Daily Active Users<10
Apple Store
Google Play Store
Website
GitHub
Discord
Mistral

Mistral

Open-source and commercial large language models for text generation, code completion, and conversational AI. Provides APIs and downloadable models for developers and businesses integrating advanced natural language processing into products and workflows.

Daily Active Users<10
Apple Store
Google Play Store
Website
Discord
Twitter
Perplexity

Perplexity

AI-powered search and answer engine that delivers concise, cited responses to user queries. Supports research and information discovery by summarizing results from multiple sources in natural language.

Daily Active Users<10
Apple Store
Google Play Store
Website
GitHub
Discord
Ollama

Ollama

AI orchestration platform for running large language models locally, with support for open-source models, offline operation, and full data control. Features include a command-line interface, model customization, and integration with developer tools for flexible prototyping and deployment.

Daily Active Users<10
Website
GitHub
Reddit

About AI

Machine learning and neural networks now underpin a growing share of daily workflows, from content generation to process automation. AI platforms deliver capabilities like natural language processing, image recognition, predictive analytics, and data classification—functions once limited to specialized teams. Many products offer API access for integration, while others provide no-code interfaces for non-technical users. Common use cases include chatbots, automated reporting, fraud detection, and recommendation engines. As models evolve, these tools accelerate decision-making, surface patterns in complex data, and automate repetitive tasks with increasing accuracy. Integration with cloud infrastructure and business apps ensures AI can be embedded directly into existing operations.

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