Lingvist
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
Transform long YouTube videos into actionable insights in seconds with AI-powered summaries.
Eightify is a premier AI-driven content condensation engine designed to optimize the consumption of long-form video content on YouTube. Leveraging advanced Large Language Models (LLMs) such as GPT-4o, Eightify analyzes video transcripts to extract core insights, organized into hierarchical timestamped summaries. As of 2026, the tool has evolved beyond simple summarization into an interactive knowledge retrieval system, allowing users to query specific video data points via a specialized chat interface. Its technical architecture focuses on low-latency processing of transcripts, even for videos exceeding several hours. Positioned at the intersection of EdTech and professional productivity, Eightify solves the 'information overload' problem for researchers, students, and professionals by reducing a 60-minute video into a 2-minute readable digest. The platform supports over 40 languages, making it a critical tool for global cross-lingual knowledge transfer. Integration is handled primarily via browser extensions (Chrome, Safari) and a dedicated iOS application, ensuring seamless friction-free deployment within the user's existing workflow.
An LLM-driven chat interface that references the video transcript as a vector database for RAG-based querying.
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
Turn spreadsheets into intelligent data engines with native LLM orchestration and automated formula generation.
The minimalist's gateway to focused reading and intelligent content archival.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Algorithmic generation of deep-links that synchronize with the YouTube player's current time code.
Translates transcripts from source language to any of 40+ target languages before summarization.
High-level abstraction of video content into 3-5 bullet points using aggressive condensation parameters.
Unified account database for sharing summaries between the browser extension and the iOS app.
Pre-processing of auto-generated captions to remove filler words and correct phonetic errors before LLM analysis.
Allows users to expand specific summarized points into deeper explanations extracted from the context.
Students spending hours watching lecture recordings to find specific concepts.
Registry Updated:2/7/2026
Analysts needing to track competitor webinars and keynotes quickly.
Listening to 3-hour podcasts (e.g., Lex Fridman) for 15 minutes of relevant info.