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Deep dives into the mechanics of viral growth, algorithm secrets, and the future of AI content creation.
Discover how to build a faceless channel empire using AI. From script generation to voice cloning, we break down the exact tech stack you need to scale.
Turn a single title into a retention-ready YouTube script with AI: prompt structure, hook patterns, pacing, and the human edit that makes it publishable.
The correct YouTube thumbnail size, aspect ratio and file limits, plus how thumbnails get downscaled across search and mobile, and how to design for it.
Tags and hashtags are not the same on YouTube. What each does, the 500-character and 15-hashtag limits, and how much either actually matters.
This blog is deliberately small. Rather than publishing a post a day and hoping something ranks, it is built as one pillar guide with a handful of supporting articles around it, each answering a question a creator actually stops to search for mid-project. The pillar, AI YouTube Automation, covers the whole stack. From there, writing a YouTube script with AI handles the part most drafts fail at, the thumbnail size reference settles the dimensions question for good, and tags versus hashtags gives an honest ranking of how much either one moves the needle.
Every article is written by Babul Kumari, sole proprietor of ViralNebula. The guides and the software are built by the same person against the same workflows, which is why an article will happily tell you that a step barely matters instead of stretching it into a chapter.
Each guide points at the tool that performs the step it describes — the Idea Generator for topic research, the Script Writer for the draft, the Thumbnail Generator for the click. If you would rather see the sequence than read about it, the how-to-use guide walks one video from idea to upload.
When an article cites view counts, upload volumes or channel figures, they come from YouTube's official public Data API — the same source the research tools read. Claims about the platform's own limits come from YouTube's documentation. Where something is opinion or a working theory, it is labelled as one rather than dressed up as data.
Every article is written by Babul Kumari, sole proprietor of ViralNebula, who runs the AI tooling the site is built on. There is no outsourced content farm and no ghostwritten filler — the guides describe the same workflows the tools were built around.
It is a topic cluster rather than a stream. One pillar guide covers AI YouTube automation end to end, and the supporting articles go deep on a single decision inside it — scripting, thumbnail dimensions, and how tags differ from hashtags.
No. Every guide is free to read with no sign-up, no email gate and no paywalled second half. The tools they reference have a free tier of their own, with 300 AI credits per day and 900 per month, so you can follow along without paying.
Only partly. The reasoning — what makes a hook hold attention, why outlier videos signal topic demand, which metadata fields YouTube actually reads — applies whatever software you use. Where a ViralNebula tool is the fastest route, we say so and link to it.
Yes. The blog publishes a standard RSS feed at /blog/feed.xml that works in any reader, and there is a newsletter if you would rather get updates by email.
Weighing ViralNebula against something you already pay for? The comparison pages are blunt about where a rival is the better pick, the FAQ covers credits and account limits, and pricing explains the one-time payment model.