Abhishek Sira Chandrashekar

We just shipped Virality Score, know if your video will go viral before you publish.

Hey everyone! Excited to share what we've been working on.

We just added Virality Score to OpenCut AI, a neuroscience-backed engagement analyzer that grades your video A-F across 7 signals before you hit publish.

How it works

Drop a video into the editor, click "Check Virality Score," and get:

- Hook Strength — does your first 1.5s grab attention? (33% of TikTok viewers scroll past in 3 seconds)
- Curiosity Gap — is there unresolved tension keeping viewers watching?
- Audio Energy — are your levels and pacing right for the platform?
- Beat Sync — do visual cuts land on audio beats?
- Face Presence — the #1 short-form retention driver
- Emotional Arc — does your clip build to a payoff or flatline?
- Viral Potential — LLM-powered composite prediction

Each signal scores 0-100, rolls into a letter grade, and comes with actionable suggestions ranked by expected impact.

Why we built this

Most creators publish and pray. The difference between 10 views and 100K views is rarely the content — it's the presentation. We used neuroscience research (dopamine prediction loops, orienting response, information-as-reward) to identify what actually holds attention, then built scoring algorithms around real platform data:

- 65% of 3-second viewers watch 10+ seconds
- Text overlays increase view time by 28%
- Videos with 65%+ 3-second retention get 4-7x more impressions

Also in this update: YouTube to Reels

Paste a YouTube URL and OpenCutAI will auto-detect the best 15-90s clips, score each one, reframe to 9:16 with face tracking, add captions, and export ready-to-upload reels. The full pipeline runs locally.

Would love to hear from creators, what signals would you add to the scoring? What's the first thing you'd test this on?

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Ishika Gupta
Feels like we are moving from “content creation” to content optimisation systems. Super compelling but also slightly scary - if everyone optimises for the same signals, does content start converging? Curious - How do you think about originality vs optimisation here? And do you have niche wise optimisation?
Abhishek Sira Chandrashekar

@ishika12 I already see that youtube and instagram reels almost have same video types. So this is usually how the trends happen, right? There is a video template which gets viral, and everybody gets on to the same template, and all the videos are edited based on that. This already exisit, but manually people are just editing their videos. In this case, an AI model is helping you find these hooks and find these optimizers to make the video much more suitable to these existing templates.

> Curious - How do you think about originality vs optimisation here? And do you have niche wise optimisation?

This is an interesting question. Nobody wants originality; everybody wants some level of dopamine hits when they are consuming content, and that's why the majority of them choose to optimize their videos with proper hooks or even thumbnails to start off with.

In terms of niche segment optimization, I haven't done too much work. This is very early, and I am still researching and implementing this, so there is a lot more to go from here. This is something that I am just getting started to find these best hooks based on the behavioural patterns and research papers.

Golang

If you had actually run a YouTube channel yourself or had real performance data, I think that would be a really strong hook. I’m curious if you have anything like that.

Abhishek Sira Chandrashekar

@golang_key I'm not a youtuber but i'm new to video editing, so I'm using my pain-points to make them, in this case i'm working with one of my youtuber friend to roll this out to create viral hook reels from the existing youtube videos. Happy to work get your feedback if you have a youtube channel.