Lingua.ly
Immersion-based language learning through real-world web content and context-aware SRS.
Master computer science, AI, and STEM fundamentals through bite-sized interactive problem-solving.
Brilliant is a premier interactive learning platform engineered to replace passive video-based education with active, state-machine driven simulations. As of 2026, the platform has pivoted aggressively into the AI literacy market, offering comprehensive modules on Large Language Models (LLMs), Neural Networks, and the mathematical foundations of Generative AI. Its technical architecture utilizes a proprietary 'Visual Intuition Engine' that allows users to manipulate variables in real-time, providing immediate feedback loops that facilitate deep conceptual understanding. Unlike traditional MOOCs, Brilliant focuses on high-density learning blocks designed for professional upskilling and cognitive development. Its market positioning is uniquely centered on the 'Active Learning' paradigm, which has been shown to increase knowledge retention by up to 3x compared to video lectures. For organizations, it offers a scalable infrastructure to transition non-technical staff into AI-augmented roles by demystifying the black-box nature of modern algorithms through visual logic and interactive debugging simulations.
Uses a proprietary interactive state machine to allow users to change variables in real-time and see immediate outcomes.
Immersion-based language learning through real-world web content and context-aware SRS.
Hybrid language mastery through pedagogical technology and expert human oversight.
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
Accelerate Spanish and English mastery through Lingu, an adaptive AI tutor that personalizes every lesson.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
AI-driven algorithms analyze user error patterns to suggest specific sub-modules for review.
A low-code environment within the browser where users manually adjust weights and biases to understand backpropagation.
Real-time synchronization of learning progress using a WebSocket-based architecture.
Scaffolded hints that utilize Socratic questioning rather than providing direct answers.
Specific focus on algorithmic complexity and data structures through visual puzzles.
Local caching of interactive widgets allowing for full lesson completion without an internet connection.
Engineers understand code but lack the mathematical intuition for LLM architecture.
Registry Updated:2/7/2026
PMs need to talk to engineers about AI limitations without becoming developers themselves.
Traditional textbooks are too abstract for grasping statistical distributions.