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TubeIQ

Evidence Backed Creator Intelligence

Marketing
Artificial Intelligence
YouTube
Visit WebsiteSee on Product HuntTwitter

Hunted bySteveSteve

TubeIQ replaces generic idea lists with an evidence-backed engine. It analyzes your channel DNA, competitor outliers, and emerging market signals to recommend the next video most likely to fit your audience ranked by timing, saturation risk, and creator fit. Every recommendation includes the supporting evidence, title angles, thumbnail direction, and a ready-to-write brief or script. No credit games, no dashboard wall: one clear next move, backed by your channel data.

Top comment

Hey Product Hunt 👋 I’m the co-founder of TubeIQ, and I’m incredibly excited to finally share what we’ve been building. TubeIQ started with a simple frustration: YouTube creators have access to plenty of analytics, but the data rarely answers the question that matters most: What should I create next? Creators are often forced to jump between analytics dashboards, competitor tools, trend trackers, spreadsheets, and generic AI assistants then manually connect everything themselves. TubeIQ brings that intelligence into one place. It analyzes your channel performance, Creator DNA, winning title and packaging patterns, competitors, outliers, emerging trends, and wider market signals. It then turns that evidence into clear, channel-specific opportunities you can actually act on. Our goal is not to replace creative instinct. It is to help creators make better-informed decisions, spot opportunities earlier, and spend less time guessing. This launch represents a major milestone, but we are still early. I would genuinely appreciate your feedback especially on the onboarding experience, the usefulness of the recommendations, and what you would need to make TubeIQ part of your regular content workflow. Thank you for checking us out, supporting the launch, and helping us build a smarter intelligence platform for creators. 🚀

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About TubeIQ on Product Hunt

Evidence Backed Creator Intelligence

TubeIQ was submitted on Product Hunt and earned 2 upvotes and 3 comments, placing #160 on the daily leaderboard. TubeIQ replaces generic idea lists with an evidence-backed engine. It analyzes your channel DNA, competitor outliers, and emerging market signals to recommend the next video most likely to fit your audience ranked by timing, saturation risk, and creator fit. Every recommendation includes the supporting evidence, title angles, thumbnail direction, and a ready-to-write brief or script. No credit games, no dashboard wall: one clear next move, backed by your channel data.

TubeIQ was featured in Marketing (467.6k followers), Artificial Intelligence (477.1k followers) and YouTube (17k followers) on Product Hunt. Together, these topics include over 201.6k products, making this a competitive space to launch in.

Who hunted TubeIQ?

TubeIQ was hunted by Steve. 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 TubeIQ stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.