CourseCraft
Create Custom Courses from YouTube in Seconds
CourseCraft launched on August 8, 2025 with 6 votes. The site was still online in September 2026, 1 year on.
What it does
Turn any YouTube video into a custom course with AI. Instantly get summaries and quizzes to help you study smarter — great for school, work, or self-learning.
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CoursekitMar 2026 · productizeyourmind.com · ▲257Turn your course into a full suite of embeddable AI agents
A YouTube videos course generator2024 · coursely.ai · ▲56An exciting aspect of what I'm working on is that users can create their own playlists. For example, you can provide an outline of what you're learning, such as notes from your professor or any other structure, and the pipeline will create a course tailored to that. Since the content is highly customized, it will be relevant and high-quality, matching current lessons or lectures in school or university. Initially, the pipeline also generated some teaching content using AI, but due to the risk of AI hallucinations, I'm planning to pivot away from that. The new focus will be on curating…
Turn any YouTube video into a summary, quiz, & flashcards2024 · asterlab.io · ▲5YouTube is the greatest learning resource in the world. Yet it doesn't provide any tools to help you learn from videos. I built a simple app that turns YouTube videos into structured learning material using AI. It generates a summary, quiz and flashcards from video content, meaning you can learn from anything (well, at least any YouTube video). Try it out. Would be happy to keep building features based on feedback!
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Source: Product Hunt launch ↗
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I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
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Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
AI · 2025 · github.com
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