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YouTube Studio tells you what happened. Tubient tells you why.
JavaScript is a lightweight, interpreted programming language.
Website, pricing, platforms and company facts side by side.
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| Website | tubient.io | appcreator24.com |
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| Company | Startup from Australia · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.

Tubient is a visual analytics platform for YouTube creators who want real answers. Instead of generic dashboards, you build custom analytics pipelines on a canvas — connecting date ranges, filters, and metrics — then ask your data anything in plain English. Ask "which video drove my subscriber...
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Tubient — Build Your Own YouTube Analytics Pipeline
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As answered by people managing Tubient and JavaScript Tutorial.
Tubient's answer
The frontend is React with Vite and TanStack, hosted on Firebase Hosting. The backend is Node.js on Google Cloud Run, using tRPC with server-sent events so analysis streams in as it's generated. Data and sign-in run on Firestore and Firebase Auth. The AI side uses Google's Gemini models in a dual-model setup: a lightweight model works out what you're asking, then routes to either the Architect, which builds the node pipeline, or the analysis agent, which writes the explanation. Channel data comes from the YouTube Data, Analytics and Reporting APIs, billing runs through Stripe, and most of the implementation was written with Claude Code.
Tubient's answer
YouTube Studio tells you what happened, and most third-party tools focus on SEO, tags and keyword scores. Tubient focuses on why it happened. It answers the questions Studio can't surface on its own, explains the results in plain language, and shows its working on the canvas so you're not taking an AI's word for it. It also keeps up with changes YouTube makes, like the August 2026 shift in how views are counted, with metrics such as Engaged Views and Engaged View Rate. There's a free plan, and the Creator plan is $20 USD a month.
Tubient's answer
Most YouTube analytics tools give you a fixed dashboard and leave you to work out what it means. Tubient works the other way around. You ask a question in plain English, like "which videos have been driving my subscriber growth?", and an AI builds a data pipeline for you on a visual canvas, node by node, pulling straight from your YouTube Analytics. A second AI then reads that canvas and writes up what's actually going on and why, so you get an explanation rather than another chart to squint at. You can see every step it took, tweak it, and build on it.
Tubient's answer
Tubient is for independent YouTube creators, especially small to mid-sized channels, who care about growing but don't have an analyst or the time to dig through YouTube Studio. They're curious about why some videos take off and others don't, they want clear answers they can act on, and they'd rather ask a question than learn a dashboard. If you've ever stared at your analytics and thought "okay, but what does this actually mean for my next video?", you're who I built it for.
Tubient's answer
I run a speedcubing channel, Ozymandias Speedcubing, and I kept hitting questions YouTube Studio couldn't answer. The one that started it all was simple: which of my videos have actually been driving subscriber growth? I couldn't get a straight answer, so in May 2026 I started building a tool that could. I've been writing software since my first computer in 1979, and I've spent years helping developers untangle hard problems, so building something to untangle my own felt natural. My channel is still Tubient's first test subject, and I'm building it solo as founder, engineer and designer.
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