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uMood

Find YouTube videos for your mood

Productivity
Artificial Intelligence
YouTube
Visit WebsiteSee on Product Hunt

Hunted byChris NikolarasChris Nikolaras

uMood helps you discover YouTube videos by describing what you want to watch — from simple moods like a calm night playlist to specific intents like “learn SEO without beginner fluff,” “find web design ideas for a landing page,” or “show me nostalgic videos from 2016.” Instead of scrolling endlessly, uMood uses AI to turn your mood, goal, or era into a more intentional YouTube discovery experience.

Top comment

Hey Product Hunt 👋 I built uMood because finding the right YouTube video often starts with a clear intention… and then somehow turns into 20 minutes of scrolling. uMood is an AI-powered discovery layer for YouTube. Instead of starting with a generic search or an endless feed, you describe what you want to watch. That can be something simple like: “relaxing videos before sleep” Or something much more specific like: “advanced SEO tutorials without beginner fluff” “landing page design inspiration for a SaaS product” “20-minute mobility routine for after training” “nostalgic YouTube videos from 2016” uMood turns your mood, goal, situation, or era into curated YouTube video suggestions, so you can find what you actually wanted to watch faster. A few things it supports: - Custom moods with natural-language descriptions - AI-curated YouTube discovery - Nostalgia/year-based discovery - Focus and intentional watching sessions - Saved moods and refreshes The goal is not to replace YouTube, but to make it easier to use YouTube with more purpose. I’d love your feedback on: 1. Which type of mood or intent you would use first 2. Whether nostalgia/year-based discovery feels useful 3. What filters or features would make this more valuable for you Thanks for checking it out 🙏

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About uMood on Product Hunt

Find YouTube videos for your mood

uMood was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #159 on the daily leaderboard. uMood helps you discover YouTube videos by describing what you want to watch — from simple moods like a calm night playlist to specific intents like “learn SEO without beginner fluff,” “find web design ideas for a landing page,” or “show me nostalgic videos from 2016.” Instead of scrolling endlessly, uMood uses AI to turn your mood, goal, or era into a more intentional YouTube discovery experience.

uMood was featured in Productivity (653.8k followers), Artificial Intelligence (471k followers) and YouTube (16.9k followers) on Product Hunt. Together, these topics include over 243.8k products, making this a competitive space to launch in.

Who hunted uMood?

uMood was hunted by Chris Nikolaras. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how uMood stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.