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Creates narrated, visual lessons for any topic with guided learning and AI chat support.
Gyanova is an AI learning product that turns a topic into a taught lesson with visuals, narration, and guided slides. It is designed for people who want a clearer way to understand a subject than piecing together search results, videos, and chats on their own.
The homepage presents it as a personal teacher for any topic. A lesson can include slides, animation, narration, and an interactive teacher bot that answers questions about the lesson. The interface shown supports moving through slides, playing or pausing animation, reviewing content at your own pace, and asking questions by text or voice.
It also appears to support lesson planning before generation, so you can outline a slide plan and have the system build the lesson around it. The examples on the page show lessons for physics topics such as laws of motion, along with other subjects like photosynthesis and the history of computing. The product emphasizes clarity, visual explanation, and accuracy, and says it uses trusted sources such as Wikipedia, Tavily AI search API, and more trusted sources.
This makes it relevant for learners, students, and anyone who wants a structured explanation of a topic without having to assemble the material manually. The page also shows a waitlist and founding member sign-up flow, suggesting the product is in early access.
Key features:
- Turns a topic into a complete lesson with visuals, narration, and guided learning.
- Includes a teacher bot that lets users ask questions about the lesson.
- Supports slide-based lessons with animation and playback controls.
- Lets users choose or describe a narration style, including Friendly, Academic, and Storyteller.
- Offers a planning step to outline slides before generating a lesson.
- Says lessons use trusted sources, including Wikipedia and Tavily AI search API.
- Provides text and voice interaction for asking questions.
- Includes waitlist access and founding member sign-up on the homepage.
Turn one release into durable discovery, credible signals, and conversations that continue after launch day.
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