Founder, StatFlare
Jayesh Gavit is the founder of StatFlare, a free YouTube channel analytics platform used by thousands of creators and marketers. He has spent years studying the YouTube algorithm, audience behavior, and creator monetization patterns. Outside of building StatFlare, Jayesh creates videos at @jayeshverse covering software, indie product building, and the creator economy.
Both engagement rate and watch time are pushed as 'the' metric YouTube cares about. The truth is more nuanced — they signal different things, and over-optimizing for either one alone can hurt your channel.
Every successful YouTube channel has run experiments you can study without spending a year repeating them. Here's exactly how to extract winning patterns from competitor channels — ethically, legally, and using only public data.
Most creators plan content based on vibes. The ones who scale consistently plan based on data — what's already working, what audiences search for, and what gaps competitors haven't filled. Here's how to build a content calendar that's grounded in evidence.
Most creators obsess over the wrong numbers. Subscriber count, total views, and likes feel important — but they're often misleading. Here are the metrics that don't deserve your attention and the ones that actually predict growth.
The YouTube Partner Program is the gateway to monetization, but the eligibility requirements have changed multiple times. Here's the current 2026 path to YPP, the realistic timelines, and the most common reasons applications get rejected.
Shorts can build a million subscribers and still leave your long-form videos buried. Here's exactly how the algorithm separates Shorts viewers from long-form viewers — and what to do about it.
YouTube analytics and GitHub metrics measure creative output in completely different ways. Understanding both reveals something surprising about how audiences — whether viewers or developers — evaluate and engage with work.
Not all open source projects are equal. Some are actively maintained community staples; others are abandoned codebases with impressive star counts. Here's how to quickly assess a GitHub repository's actual health before depending on it.
Most creators spend all their energy on individual videos and ignore the channel page itself. A well-optimized channel page converts curious visitors into subscribers at a dramatically higher rate.
GitHub repositories accumulate stars, forks, and watchers — but these three metrics measure very different things. Understanding what each one signals helps you evaluate open source projects and developer credibility far more accurately.
Choosing the wrong niche is the most common reason YouTube channels fail after early momentum. Here's how to evaluate niches scientifically before committing hundreds of hours to content creation.
GitHub profiles are full of numbers — stars, forks, contributions, repositories. But what do they actually tell you about a developer? Here's how to interpret GitHub profile metrics like an engineer.
YouTube doesn't publicly disclose creator earnings, but RPM — Revenue Per Mille — is the key metric that makes estimation possible. Here's how it works, what affects it, and how tools like StatFlare use it to estimate channel revenue.
Shorts get millions of views overnight. Long-form builds an audience that stays. Understanding when to use each format — and how they interact algorithmically — is one of the most important strategic decisions a YouTube creator makes.
Forget the myths about posting time, hashtags, and magic keywords. Here's what YouTube's algorithm actually optimizes for and how to work with it instead of against it.
CTR is the first bottleneck in YouTube growth. If people aren't clicking your thumbnail, nothing else matters. Here's how to consistently improve CTR without resorting to clickbait.
You don't need to pay for expensive software to grow on YouTube. These free tools cover analytics, SEO, thumbnail design, research, and more — everything a serious creator needs at no cost.
Viral videos aren't random. They share specific patterns in topic selection, packaging, and early performance. Understanding these patterns won't guarantee a viral hit, but it dramatically raises your odds.
Your subscriber count and your average views per video rarely match — and the gap between them tells a revealing story about your channel's health and audience loyalty.
Understanding what's working for channels in your niche is one of the fastest ways to improve your own. Here's how to do a proper competitor analysis without spending money on paid tools.
A sudden or gradual drop in YouTube views is alarming but almost always diagnosable. Here are the most common causes and the specific fixes that actually work.
How often should you post on YouTube? The answer isn't what most gurus tell you. Consistency matters, but the right frequency depends on your niche, format, and production capacity.
YouTube Studio is full of numbers that can feel overwhelming. This guide breaks down the metrics that actually matter, what they're telling you, and what to do with that information.
Engagement rate is one of the most important metrics on YouTube — yet most creators ignore it. Learn what it means, how to calculate it, and why it reveals more than raw view counts.