DapDip
Audits your channel, and tells you when it's guessing
DapDip reads a YouTube channel's own upload history and reports what measurably works on
it — which title lengths, video lengths, posting days and formats beat that channel's own
median, and how many uploads each finding is based on. Nine videos gets labelled as nine
videos. Every figure links to the page showing the calculation.
Those measurements are then the context for everything else. Seventeen tools produce the
next video's ideas, hooks, titles, keywords, thumbnails and captions from what already
performed on your channel rather than from a niche you typed into a box.
Two halves, kept apart on purpose: models write, arithmetic counts. No number in the
product is generated by a model, and when a model call fails and you get a fixed template
instead, the interface says so. That label was the hard part to build and the reason I'd
show anyone the code.
Interface in 20 languages, guides in 25, each written for its own readers rather than run
through a translator. There's an MCP server too, so an assistant can audit a real channel
and cite the numbers instead of guessing at them.
Free tier is permanent and needs no card. Pro is $15 a month.
Features
Growth score from a channel's public catalogue, with the working shown
Content patterns measured against the channel's own median, never an industry benchmark
Sample size printed on every finding
Video ideas, hooks, titles, descriptions and keywords drawn from those measurements
Thumbnail critique and automatic captions
Audience retention and click-through rate once you connect Google
Comment analysis across a thousand comments at a time
Competitor tracking and a sponsor-ready media kit
Template fallbacks labelled in the interface, never passed off as generated
MCP server for AI assistants
20 interface languages, 25 content languages
Use Cases
You post consistently and still can't tell which videos worked and why.
You want to know whether long videos really do better on your channel, with a number.
You're about to publish and need a title, description and thumbnail that fit what already
performs on your channel.
Your retention drops and you want to know where, not just that it does.
A thousand comments arrived and you want the questions, not the noise.
You're pitching a sponsor and need a media kit today.
You don't work in English and every other tool in this category assumes you do.
Comments
I built this because every YouTube tool I tried compared my channel to other people's. "Channels your size average 4% CTR." I can't become a channel my size. I can only make more of whatever already works on mine. So DapDip measures that instead. It reads a channel's whole catalogue, groups the uploads by title length, duration, posting day and format, and tells you which groups beat that channel's own median. Then it tells you how many videos each finding rests on. If it's nine, it says nine — I wanted to be able to check my own tool rather than trust it. The part I'd point at if you only look at one thing: when a model call fails and you get a fixed template instead of generated text, the interface says so. Every AI tool I've used quietly swallows that. Building the label took longer than building the feature. It runs in 20 languages, with the written guides in 25, each one written for its readers rather than run through a translator. Under 20% of the world speaks English and every tool in this category is English-first, which felt like the actual gap. One rule it will never break: no sub-for-sub, no bought views, nothing built to dodge detection. Those get channels terminated. Free tier, no card. Happy to answer anything — including why a number is what it is.
Premium Products
Sponsors
Buy
Makers
Makers
Comments
I built this because every YouTube tool I tried compared my channel to other people's. "Channels your size average 4% CTR." I can't become a channel my size. I can only make more of whatever already works on mine. So DapDip measures that instead. It reads a channel's whole catalogue, groups the uploads by title length, duration, posting day and format, and tells you which groups beat that channel's own median. Then it tells you how many videos each finding rests on. If it's nine, it says nine — I wanted to be able to check my own tool rather than trust it. The part I'd point at if you only look at one thing: when a model call fails and you get a fixed template instead of generated text, the interface says so. Every AI tool I've used quietly swallows that. Building the label took longer than building the feature. It runs in 20 languages, with the written guides in 25, each one written for its readers rather than run through a translator. Under 20% of the world speaks English and every tool in this category is English-first, which felt like the actual gap. One rule it will never break: no sub-for-sub, no bought views, nothing built to dodge detection. Those get channels terminated. Free tier, no card. Happy to answer anything — including why a number is what it is.
Premium Products
New to Fazier?
Find your next favorite product or submit your own. Made by @FalakDigital.
Copyright ©2025. All Rights Reserved