This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Cutio uses AI to detect sponsor reads and self-promotion in YouTube videos, then skips them automatically in your browser or on a paired TV. It works across creators, topics, and languages, and saves results to a shared cache so analyzed videos load instantly for everyone.
I built Cutio because I wanted YouTube to feel uninterrupted without manually jumping over sponsor reads and self-promotion
Cutio analyzes each YouTube video's transcript with AI, detects sponsor reads and self-promotion, and skips those parts automatically while you watch — in the browser or on a paired TV
Unlike community-based tools, Cutio can work on fresh, niche, and non-English videos before anyone has manually submitted segments
The goal is simple: open a YouTube video and let Cutio handle the parts you would normally scrub through by hand
What makes it different:
• works across languages, creators, and topics
• analyzes videos directly from their transcripts
• skips automatically in the browser
• can also skip detected segments on paired TVs
• pairs with YouTube on TV using a simple code, with no server setup
• shows detected segments progressively while analysis is running
• saves results to a shared cache, so analyzed videos load faster for everyone
• gives you simple filters for segment types, video categories, and maximum video length
• tracks time saved, skipped segments, and analyzed videos
• supports your own OpenRouter key if you want more control
Cutio is available for Chrome today, with support for more browsers coming soon
I’d love feedback on detection quality, TV pairing, edge cases, whether the interface feels simple and minimal, and what you’d like to see added next
The TV pairing is the most interesting part here for me. Browser sponsor skipping is useful, but making it work on YouTube TV feels like the real unlock. My only concern would be false skips on creators who blend sponsors into the actual content.
@brolnickij What does usage actually look like? Are people mostly using Cutio on long-form content where the time savings are meaningful, or are they turning it on for everything they watch regardless of video length?
@brolnickij Creators have become increasingly dependent on sponsorship revenue, and many are actively designing integrations that feel less like ads and more like part of the video itself.
That seems like it creates an interesting challenge. The better creators get at making sponsorships feel natural, the harder they become to detect.
Has the detection problem become more difficult over time as creator behavior evolves, or has the improvement in AI models been keeping pace with that change?
@brolnickij I think the interesting question here isn’t whether people want to skip sponsor segments. Everyone does.
What I’m trying to understand is whether this remains accurate as creators adapt. More and more YouTubers are blending sponsors directly into the content instead of treating them as a separate block. Some channels even make the sponsor part entertaining enough that viewers don’t necessarily want it skipped.
Does that create a moving target for Cutio?
The other thing I’m wondering about is whether transcript analysis is enough on its own. A lot of YouTube content relies on context, tone, visuals, or transitions that don’t always show up clearly in transcripts. Have you found cases where the transcript suggests something is a sponsor segment but the actual video context says otherwise?
Also, what’s the long-term moat here? If transcript access and models continue to improve, it feels like detecting sponsor reads becomes increasingly commoditized. Is the real value in the detection itself, the TV experience, the shared cache, or something else entirely?
The problem is obvious and the solution is easy to understand, but I’m curious which part of the business you think becomes harder over the next few years rather than easier.
About Cutio on Product Hunt
“Skip YouTube sponsors with AI, even on TV”
Cutio was submitted on Product Hunt and earned 9 upvotes and 9 comments, placing #21 on the daily leaderboard. Cutio uses AI to detect sponsor reads and self-promotion in YouTube videos, then skips them automatically in your browser or on a paired TV. It works across creators, topics, and languages, and saves results to a shared cache so analyzed videos load instantly for everyone.
Cutio was featured in Chrome Extensions (52.7k followers), Artificial Intelligence (473.1k followers) and YouTube (16.9k followers) on Product Hunt. Together, these topics include over 123.4k products, making this a competitive space to launch in.
Who hunted Cutio?
Cutio was hunted by Dmitrii Brolnitskii. 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 Cutio stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hey Product Hunt!
I'm Dmitrii, the maker of Cutio
I built Cutio because I wanted YouTube to feel uninterrupted without manually jumping over sponsor reads and self-promotion
Cutio analyzes each YouTube video's transcript with AI, detects sponsor reads and self-promotion, and skips those parts automatically while you watch — in the browser or on a paired TV
Unlike community-based tools, Cutio can work on fresh, niche, and non-English videos before anyone has manually submitted segments
The goal is simple: open a YouTube video and let Cutio handle the parts you would normally scrub through by hand
What makes it different:
• works across languages, creators, and topics
• analyzes videos directly from their transcripts
• skips automatically in the browser
• can also skip detected segments on paired TVs
• pairs with YouTube on TV using a simple code, with no server setup
• shows detected segments progressively while analysis is running
• saves results to a shared cache, so analyzed videos load faster for everyone
• gives you simple filters for segment types, video categories, and maximum video length
• tracks time saved, skipped segments, and analyzed videos
• supports your own OpenRouter key if you want more control
Cutio is available for Chrome today, with support for more browsers coming soon
I’d love feedback on detection quality, TV pairing, edge cases, whether the interface feels simple and minimal, and what you’d like to see added next