Tamé📀

[Wilberforce Theophilus @Eze_Wilberforce]

Look at the YouTube AUTOMATION you’re paying HUNDREDS OF DOLLARS to get. 😂

I found it. Save it for the future.

CONGRATULATIONS.☺

[BIG KAYY 𓃵 @kinigramm]

I also found a good voice over tool with over 500 voices, in quite a number of languages of the world (including English) and multiple use cases: documentaries, narration or general speaking.😂✅

You can use these voices to scale your foreign language channel perfectly.

Visit https://t.co/A0rw4Ye9pg to access this.✅ You’re welcome

[Tamé📀 @toxictame]

@NokoDev Build 3 projects that show your experience and skills. Not calculator or weather apps. If you can try to integrate AI in at least one of the projects. Post the projects on LinkedIn , network with recruiters and people in tech already. The job will come to you. Wish you the best

[meowza🪡⚠️🍬 @miauwza]

IF NO ONE TOLD YOU YET- STREAMING VERTICAL TO YT COUNTS AS LONG FORM CONTENT EVEN THOUGH ITS ON THE SHORTS FEED!!🗣️ 🗣️

this is how I got most of my hours!!

[Wilberforce Theophilus @Eze_Wilberforce]

🚨 The people who watch this tonight will wake up with a new skill.

Claude AI full course: learn HOW TO BUILD and AUTOMATE ANYTHING.

Bookmark it before it’s gone.

[MIKE @mikenevermiss]

THIS GUY JUST SHOWED HOW HE USES CLAUDE CODE ON THE FREE PLAN TO CREATE YOUTUBE VIDEOS

no paid claude subscription.

no expensive AI tools.

just a simple workflow he breaks down step by step in this video.

save this and read the full article below.

[The Niche @Nerdrockz]

Revenge stories
Billionaire romance
Afrokorean stories
Dad stories
R@cism
Emotional storytelling
African folktales
Black stories
Duke and Duchess
Paranormal
Fantasy

These are storytelling subniches you can explore on a good budget

[Adam | YouTube @Adam_DelDuca]

Faceless channel 1: $6,000/month
Faceless channel 2: $5,000/month
Faceless channel 3: $2,000/month

Here’s how you do it without editing a single video:

[Anshika Pathak @pathakanshika06]

🚨 BREAKING: Claude can now CREATE a YouTube channel from scratch and take it to monetization in just 90 days. 100% free.

Here are 8 prompts to achieve it:

[Roosevelt @rooseveltdidIt]

Couldn’t afford supergrok for YTA but here’s what free plan of Google flow gets you

With 25 Google accounts 😭😭😭😭🤲🏼

[MIKE @mikenevermiss]

this guy shows you exactly how to make $30K on YouTube without ever showing your face.

the 2026 method, explained step by step.

[Abdulkadir | Cybersecurity @cyber_razz]

https://t.co/BAiFQBsyRD

Enjoy ;)

F0ll0w me for more

[MIKE @mikenevermiss]

this guy just showed how to find youtube niches with little to no competition using claude code.

save this. you’ll need it later.

[Olatunde AI @OlatundeAI]

STEP 4: Open Flow AI and log in with your Gmail. Click on "New Project" and switch to "Video" mode.

Choose "Frame, 9:16, Omni Flash, 10s and x1." That'll cost 15 credits, out of 50 daily credits.

Copy all the Prompt Result in STEP 3, attach it with the same image and run it.

[Kiyoro @0xKiyoro]

The fastest YouTube path to a BMW M4 starts with a nursery rhyme that already has 379 million views.

The workflow does not begin with guessing what children might watch. It begins with proven demand.

She opens a popular kids channel, studies the videos already pulling hundreds of millions of views, then asks ChatGPT for original nursery rhyme ideas built around the same retention mechanics.

After choosing one, ChatGPT turns it into a complete one-minute episode with a scene-by-scene breakdown, character actions, camera direction and visual prompts.

That plan goes directly into Picsart AI Playground. Within two or three minutes, it produces a finished animated episode without cameras, drawing skills or an animation team.

The same idea does not stop at one upload. The full episode goes to long-form YouTube, its strongest moments become Shorts, and the recurring character returns in the next story.

That final part matters most. Random AI cartoons might generate temporary views. A recognizable character gives children something familiar to search for, replay and watch again the next morning.

Anyone can generate the first episode now. The real advantage belongs to whoever studies the data, improves the format and turns one character into a library of one hundred videos.

The entire workflow takes 49 seconds to watch. Bookmark it before your feed buries it.

[Miss Scarlett @vampScally]

THIS GUIDE EXPLAINS HOW STUDENTS MAKE $20K PER MOTH ON FACELESS YOUTUBE VIDEOS

i started just a few months ago and already hit 100k subscribers

by using simplest ai tools and spending ~15 mins per day on it

this teen is just another example

she runs a faceless animated kids channel

and it is already pulling hundreds of thousands of views per video

after monetization it turns into ~$20k per month

look at what YouTube pays out on a million views and these simple AI cartoons are printing real money

here is exactly how people are doing it

you open Picsart Flow and describe the scene you want, a little fox learning to share, a dinosaur counting to ten

it generates the animated shots, the characters, the motion, the whole look in one pass

you stitch 6 or 7 of those clips into a 2 minute story and add a simple voiceover

kids content gets watched on loop so the retention stays high and the algorithm keeps feeding it

one person can build a full channel of these without ever showing their face or drawing a single frame

the accounts posting daily right now are stacking views while everyone else still thinks animation needs a studio

tomorrow I will break down the exact prompt structure that keeps these videos consistent episode to episode

make sure to read my full article first (attached below)

[Harvey @YTAvision]

I made $150k in pure profit from YouTube channels I barely touched in 2025

No new uploads for months on some of them. The videos just kept ranking and getting paid

Here's the exact system, start to finish:

[Rollandex @imrollandex]

HOW TO GENERATE AI PHOTOS THAT LOOKS 100% REAL:

nano banana normally has a very grey scale color grade which is why we are going to be using inspiration photos for color grading and creative direction

> go on pinterest and grab any photo you like that has the aesthetic you want

> upload that pinterest photo into chatgpt 5.1 thinking mode and ask for this:

"analyze this photo and give me a very detailed json prompt that can recreate it, it should be very detailed, really make sure to break down the color grading and all the exact colors in the photo"

the reason we're using chatgpt is because of its very strong photo analysis capabilities

We’re not using Claude because it lacks the ability to think or analyse photos. This is essential for generating good JSON using this method.

> take the json prompt gemini gives you and put it into nano banana pro in gemini pro

> upload your product image and prompt: "using this json as reference, generate the person holding my product [attach product image]"

> nano banana generates the photo with that person holding your product

you will notice the photo looks more realistic than usual & the color grading will be really good

> save that generated character photo as your reference

> for future generations, attach the character photo each time for facial consistency

now you have a consistent ugc model that can hold different products across multiple photos

You can also interact with the base JSON prompt and chat back and forth with ChatGPT to create a JSON prompt suits to your needs. Then simply repeat the process.

this is how you can build a library of high quality ugc content without hiring creators

takes 5 minutes to set up, then you can generate unlimited variations

[Kiyoro @0xKiyoro]

A 22-year-old makes $20,000 a month from faceless YouTube videos because he expects most uploads to fail.

He does not spend weeks perfecting one idea. When a weird reaction format starts pulling views, he turns it into ten variations with different hooks, pacing and story angles.

Claude writes the scripts, ElevenLabs handles the narration and CapCut keeps every upload inside the same production template. Each video takes less than an hour.

The early winners reached 220,000 and 480,000 views. Then one crossed 1.3 million.

Seven months and roughly 13 million total views later, the channel reached $20,000 a month while publishing 12–15 videos monthly.

Most of the uploads never became massive.

They did not need to.

A few winners carried the revenue and revealed what the next ten videos should become.

He did not build a system where every video wins.

He built one that can afford to keep testing until something does.