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BerryViral makes YouTube thumbnails easy! Get ratings, feedback, or generate optimized ones in one click!

YouTube's A/B testing is severely limited. It does not work at all for small creators, and needs your own understanding of good thumbnails (takes years to acquire) to be effective.

The idea of BerryViral is to help YouTube content creators learn quickly while DOING rather than just giving them the same template AI images that every other tool makes.

BerryViral gives you objective clickability ratings that correlate with expert judgement and YouTube views on a large scale. It also tells you specific ways to make YOUR thumbnail better, for that specific video.

You can choose to improve your thumbnail yourself, or use our in-built AI, the objective is only to make it more clickable, whatever it takes.

If you are:

  • YouTuber with less than 200k subscribers

  • Video marketing professional or Content Strategist

  • Thumbnail designer

BerryViral was built for you.

Try a thumbnail review for free at BerryViral.com!

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BerryViral
  1. 2

    This looks super helpful for YouTube creators who want a smarter way to optimize thumbnails and titles before they publish. Giving an objective clickability score with specific suggestions on what to improve could save a lot of time compared to guesswork or endless A/B tests, and it’s cool that you can get actionable feedback even without design skills. Tools like this that turn subjective creative decisions into data points are exactly what creators need to stand out in a crowded feed. Great launch and best of luck with growth!

    1. 1

      Thank you @Gregory! The goal is indeed to empower creators with tools and knowledge that takes years otherwise.

  2. 2

    This looks solid, its a real problem,

    Thumbnail is the first impression so it is important

    1. 1

      Thanks @Avikshit!

  3. 2

    This actually solves a very real pain. A/B testing thumbnails is almost useless for smaller channels, so most creators are just guessing. I like the focus on learning why a thumbnail works instead of spitting out generic AI images. Curious — have you seen certain patterns consistently boost clickability across niches?

    1. 1

      Thanks @Bhavin! Answered some of those related questions at BerryViral Blog, have a look!

      1. 2

        That’s useful—education + tooling is a strong combo. Most creators struggle to build intuition, so feedback loops like this feel powerful. Will take a look at the blog 👍

  4. 2

    This is a solid angle, especially the focus on learning while doing instead of pumping out generic AI thumbnails. That gap between “AI-generated” and “actually clickable” is very real for smaller creators.

    One thing I’ve seen work well for tools like this is listening to how creators complain about thumbnails in places like Reddit, lots of “why is my CTR stuck?” or “which thumbnail would you click?” threads. Those conversations tend to surface the exact objections and language you can reflect back in the product and messaging. Feels like BerryViral is well positioned to benefit from that kind of signal-driven discovery.

    1. 1

      Thanks @Micheal, will definitely try to fit that messaging!

      1. 1

        That’s a really sharp point, especially about mining those “which thumbnail would you click?” and stuck-CTR threads. A lot of the real buying signals are hidden in complaints, not feature requests.

        That’s actually been a big part of how I approach this space less about mass-producing AI thumbnails and more about understanding why certain visuals trigger clicks for specific audiences. When you combine that Reddit language with hands-on iteration, the results tend to look very different from generic AI outputs.

        If you’re curious, I'm happy to share a bit more about how I’m applying this in practice feel free to reach out on Telegram @preshtechsolution