![Vexian's tweet photo. F*ck it, here's a chat GPT thats generated250,000,000 views on youtube.
Yours for FREE.
(all you need to do is paste a channel screen shot into the chat)
STEP 1
In this screen shot there are multiple elements of info. Here are the main ones we want to focus on.
The outlier score score to the left of every title, this is denoted by a number followed by an x. For example. 2.4x
Next is the views. This is the 2nd line under the in a light grey text.
The third thing we want is the title. We want to break down the title into the core elements. In this case we will use the title in the top left. For example, the title "I Tried Drop Shipping For 7 Days To Prove It's Not Dead.
We can break this down into these base components. [I Tried (business model) for (time frame) to prove (something)]
Can you pull the data from these screenshots and break down the titles into there base components? Starting from the top left, and working your way across to the right, then down to the next row. Once down output all the titles in there base form and the outlier score and the total views each title achieved.
Present this data in a table.
Do step 1 first in its entirety, then reply with "Step 1 Complete." and start on Step 2
STEP 2
Now, I would like you to take the formats in the table and find similar underlying patterns from a psychological standpoint and what the value to the viewer is.
I then want you to group these ideas into formats that have a similar psychological appeal to viewers and click principles behind them.
Do step 2 in its entirety, then reply with "Step 2 Complete." and start on Step 3
STEP 3
Create a tables based on these groups that have the following; Title formats, why they work, the outlier score and views for each title, then the average views and average outlier score for each group.
Do step 3 in its entirety, then reply with "Step 3 Complete." and start on Step 4
STEP 4
Combine all of the tables from step 3 into 1 table based on weight. Determine the weight of groups based on the normalized average views * the average outlier score. Determine the normalization as such that 100,000 views = 1, and the outlier score remains the same.
Make sure to order the table is in descending order of weighted score.
After this step ask me to "end" or "continue."
If I send another screenshot, continue again starting from STEP 1 and continue all the way through STEP 4.
After STEP 4 combine the tables of the previous STEP 4's and if there are any similar or exact groups, add the data to together and find the averages when presenting a unified table. Make sure the combined unified table is presented in descending order based upon the weighted score. In addition to this create another column called "data points" and for each title format in a group add 1 to the number of data points. Do not continue onto step 5 until told to.
STEP 5
Generate a new table with all of the formats in order from the weighted score and why they work.
Then take those title formats and core component and generate new formats from them, there should be 1 new format per 1 original format.
Generate these new formats by applying one of the methods of modification below.
-Splice two formats together.
-Use an original format and change some core elements of it.
-Use an original format and twist some elements of it.
-Take the format and do the inverse.
-Add a resection to the format in some way.
-Remove and element of the format.
Generate a table, showing the original format, how ti was twisted, the new format and an idea from the new format.
Then create a new table where you rank the new ideas based on the new formats where you give each idea a label in terms of how many views you think it can get. The labels would be Very High, High, Normal, Low, Very Low.](https://pbs.twimg.com/media/GkkdOgjXAAApUZ_.png)
![Vexian's tweet photo. F*ck it, here's a chat GPT thats generated250,000,000 views on youtube.
Yours for FREE.
(all you need to do is paste a channel screen shot into the chat)
STEP 1
In this screen shot there are multiple elements of info. Here are the main ones we want to focus on.
The outlier score score to the left of every title, this is denoted by a number followed by an x. For example. 2.4x
Next is the views. This is the 2nd line under the in a light grey text.
The third thing we want is the title. We want to break down the title into the core elements. In this case we will use the title in the top left. For example, the title "I Tried Drop Shipping For 7 Days To Prove It's Not Dead.
We can break this down into these base components. [I Tried (business model) for (time frame) to prove (something)]
Can you pull the data from these screenshots and break down the titles into there base components? Starting from the top left, and working your way across to the right, then down to the next row. Once down output all the titles in there base form and the outlier score and the total views each title achieved.
Present this data in a table.
Do step 1 first in its entirety, then reply with "Step 1 Complete." and start on Step 2
STEP 2
Now, I would like you to take the formats in the table and find similar underlying patterns from a psychological standpoint and what the value to the viewer is.
I then want you to group these ideas into formats that have a similar psychological appeal to viewers and click principles behind them.
Do step 2 in its entirety, then reply with "Step 2 Complete." and start on Step 3
STEP 3
Create a tables based on these groups that have the following; Title formats, why they work, the outlier score and views for each title, then the average views and average outlier score for each group.
Do step 3 in its entirety, then reply with "Step 3 Complete." and start on Step 4
STEP 4
Combine all of the tables from step 3 into 1 table based on weight. Determine the weight of groups based on the normalized average views * the average outlier score. Determine the normalization as such that 100,000 views = 1, and the outlier score remains the same.
Make sure to order the table is in descending order of weighted score.
After this step ask me to "end" or "continue."
If I send another screenshot, continue again starting from STEP 1 and continue all the way through STEP 4.
After STEP 4 combine the tables of the previous STEP 4's and if there are any similar or exact groups, add the data to together and find the averages when presenting a unified table. Make sure the combined unified table is presented in descending order based upon the weighted score. In addition to this create another column called "data points" and for each title format in a group add 1 to the number of data points. Do not continue onto step 5 until told to.
STEP 5
Generate a new table with all of the formats in order from the weighted score and why they work.
Then take those title formats and core component and generate new formats from them, there should be 1 new format per 1 original format.
Generate these new formats by applying one of the methods of modification below.
-Splice two formats together.
-Use an original format and change some core elements of it.
-Use an original format and twist some elements of it.
-Take the format and do the inverse.
-Add a resection to the format in some way.
-Remove and element of the format.
Generate a table, showing the original format, how ti was twisted, the new format and an idea from the new format.
Then create a new table where you rank the new ideas based on the new formats where you give each idea a label in terms of how many views you think it can get. The labels would be Very High, High, Normal, Low, Very Low.](https://pbs.twimg.com/media/GkkdJsiWUAAJ_jq.jpg)
![Vexian's tweet photo. F*ck it, here's a chat GPT thats generated250,000,000 views on youtube.
Yours for FREE.
(all you need to do is paste a channel screen shot into the chat)
STEP 1
In this screen shot there are multiple elements of info. Here are the main ones we want to focus on.
The outlier score score to the left of every title, this is denoted by a number followed by an x. For example. 2.4x
Next is the views. This is the 2nd line under the in a light grey text.
The third thing we want is the title. We want to break down the title into the core elements. In this case we will use the title in the top left. For example, the title "I Tried Drop Shipping For 7 Days To Prove It's Not Dead.
We can break this down into these base components. [I Tried (business model) for (time frame) to prove (something)]
Can you pull the data from these screenshots and break down the titles into there base components? Starting from the top left, and working your way across to the right, then down to the next row. Once down output all the titles in there base form and the outlier score and the total views each title achieved.
Present this data in a table.
Do step 1 first in its entirety, then reply with "Step 1 Complete." and start on Step 2
STEP 2
Now, I would like you to take the formats in the table and find similar underlying patterns from a psychological standpoint and what the value to the viewer is.
I then want you to group these ideas into formats that have a similar psychological appeal to viewers and click principles behind them.
Do step 2 in its entirety, then reply with "Step 2 Complete." and start on Step 3
STEP 3
Create a tables based on these groups that have the following; Title formats, why they work, the outlier score and views for each title, then the average views and average outlier score for each group.
Do step 3 in its entirety, then reply with "Step 3 Complete." and start on Step 4
STEP 4
Combine all of the tables from step 3 into 1 table based on weight. Determine the weight of groups based on the normalized average views * the average outlier score. Determine the normalization as such that 100,000 views = 1, and the outlier score remains the same.
Make sure to order the table is in descending order of weighted score.
After this step ask me to "end" or "continue."
If I send another screenshot, continue again starting from STEP 1 and continue all the way through STEP 4.
After STEP 4 combine the tables of the previous STEP 4's and if there are any similar or exact groups, add the data to together and find the averages when presenting a unified table. Make sure the combined unified table is presented in descending order based upon the weighted score. In addition to this create another column called "data points" and for each title format in a group add 1 to the number of data points. Do not continue onto step 5 until told to.
STEP 5
Generate a new table with all of the formats in order from the weighted score and why they work.
Then take those title formats and core component and generate new formats from them, there should be 1 new format per 1 original format.
Generate these new formats by applying one of the methods of modification below.
-Splice two formats together.
-Use an original format and change some core elements of it.
-Use an original format and twist some elements of it.
-Take the format and do the inverse.
-Add a resection to the format in some way.
-Remove and element of the format.
Generate a table, showing the original format, how ti was twisted, the new format and an idea from the new format.
Then create a new table where you rank the new ideas based on the new formats where you give each idea a label in terms of how many views you think it can get. The labels would be Very High, High, Normal, Low, Very Low.](https://pbs.twimg.com/media/GkkdGbhW4AAYbmH.jpg)
Olivia
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Ivan 👹
@iOnlyOnii
The People's Editor 🖥️
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• Helping Creators turn their Stories into Must-See Videos! •
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Joined July 2014
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Wanted to improve upon the BMX niece on youtube so,
I re-edited a portion from @/dougsterbob's 2025 Kink BMX Bikes - reviewed video
🎐-Added Smooth Animations
🎶-New SFX incorporated
🎵-BG Music Added
🚶♂️-Improved Pacing
Never be satisfied😅
going to start going around calling "fits" garb
Who to follow
Editors and VOD Scrubbers, please feel free to promote your services by quote retweeting my post.
I love you guys. You're also part of the reason someone wants to watch shorts and long form content!
Thank you for providing your services to the VTuber community🩷
time to start becoming… someone worth remembering 🕰️
3 Thumbnail Experts.
8 Months of Work.
1 Platform.
Stumbled upon this on my homepage today,
feeling like this might be a banger on their channel
Here's why making longer content is better on YouTube!
@vexian 🙋♂️
Need that 1of10 app asap!
the difference between discipline & obsession:
F*ck it, here's a chat GPT thats generated250,000,000 views on youtube.
Yours for FREE.
(all you need to do is paste a channel screen shot into the chat)
STEP 1
In this screen shot there are multiple elements of info. Here are the main ones we want to focus on.
The outlier score score to the left of every title, this is denoted by a number followed by an x. For example. 2.4x
Next is the views. This is the 2nd line under the in a light grey text.
The third thing we want is the title. We want to break down the title into the core elements. In this case we will use the title in the top left. For example, the title "I Tried Drop Shipping For 7 Days To Prove It's Not Dead.
We can break this down into these base components. [I Tried (business model) for (time frame) to prove (something)]
Can you pull the data from these screenshots and break down the titles into there base components? Starting from the top left, and working your way across to the right, then down to the next row. Once down output all the titles in there base form and the outlier score and the total views each title achieved.
Present this data in a table.
Do step 1 first in its entirety, then reply with "Step 1 Complete." and start on Step 2
STEP 2
Now, I would like you to take the formats in the table and find similar underlying patterns from a psychological standpoint and what the value to the viewer is.
I then want you to group these ideas into formats that have a similar psychological appeal to viewers and click principles behind them.
Do step 2 in its entirety, then reply with "Step 2 Complete." and start on Step 3
STEP 3
Create a tables based on these groups that have the following; Title formats, why they work, the outlier score and views for each title, then the average views and average outlier score for each group.
Do step 3 in its entirety, then reply with "Step 3 Complete." and start on Step 4
STEP 4
Combine all of the tables from step 3 into 1 table based on weight. Determine the weight of groups based on the normalized average views * the average outlier score. Determine the normalization as such that 100,000 views = 1, and the outlier score remains the same.
Make sure to order the table is in descending order of weighted score.
After this step ask me to "end" or "continue."
If I send another screenshot, continue again starting from STEP 1 and continue all the way through STEP 4.
After STEP 4 combine the tables of the previous STEP 4's and if there are any similar or exact groups, add the data to together and find the averages when presenting a unified table. Make sure the combined unified table is presented in descending order based upon the weighted score. In addition to this create another column called "data points" and for each title format in a group add 1 to the number of data points. Do not continue onto step 5 until told to.
STEP 5
Generate a new table with all of the formats in order from the weighted score and why they work.
Then take those title formats and core component and generate new formats from them, there should be 1 new format per 1 original format.
Generate these new formats by applying one of the methods of modification below.
-Splice two formats together.
-Use an original format and change some core elements of it.
-Use an original format and twist some elements of it.
-Take the format and do the inverse.
-Add a resection to the format in some way.
-Remove and element of the format.
Generate a table, showing the original format, how ti was twisted, the new format and an idea from the new format.
Then create a new table where you rank the new ideas based on the new formats where you give each idea a label in terms of how many views you think it can get. The labels would be Very High, High, Normal, Low, Very Low.
![Vexian's tweet photo. F*ck it, here's a chat GPT thats generated250,000,000 views on youtube.
Yours for FREE.
(all you need to do is paste a channel screen shot into the chat)
STEP 1
In this screen shot there are multiple elements of info. Here are the main ones we want to focus on.
The outlier score score to the left of every title, this is denoted by a number followed by an x. For example. 2.4x
Next is the views. This is the 2nd line under the in a light grey text.
The third thing we want is the title. We want to break down the title into the core elements. In this case we will use the title in the top left. For example, the title "I Tried Drop Shipping For 7 Days To Prove It's Not Dead.
We can break this down into these base components. [I Tried (business model) for (time frame) to prove (something)]
Can you pull the data from these screenshots and break down the titles into there base components? Starting from the top left, and working your way across to the right, then down to the next row. Once down output all the titles in there base form and the outlier score and the total views each title achieved.
Present this data in a table.
Do step 1 first in its entirety, then reply with "Step 1 Complete." and start on Step 2
STEP 2
Now, I would like you to take the formats in the table and find similar underlying patterns from a psychological standpoint and what the value to the viewer is.
I then want you to group these ideas into formats that have a similar psychological appeal to viewers and click principles behind them.
Do step 2 in its entirety, then reply with "Step 2 Complete." and start on Step 3
STEP 3
Create a tables based on these groups that have the following; Title formats, why they work, the outlier score and views for each title, then the average views and average outlier score for each group.
Do step 3 in its entirety, then reply with "Step 3 Complete." and start on Step 4
STEP 4
Combine all of the tables from step 3 into 1 table based on weight. Determine the weight of groups based on the normalized average views * the average outlier score. Determine the normalization as such that 100,000 views = 1, and the outlier score remains the same.
Make sure to order the table is in descending order of weighted score.
After this step ask me to "end" or "continue."
If I send another screenshot, continue again starting from STEP 1 and continue all the way through STEP 4.
After STEP 4 combine the tables of the previous STEP 4's and if there are any similar or exact groups, add the data to together and find the averages when presenting a unified table. Make sure the combined unified table is presented in descending order based upon the weighted score. In addition to this create another column called "data points" and for each title format in a group add 1 to the number of data points. Do not continue onto step 5 until told to.
STEP 5
Generate a new table with all of the formats in order from the weighted score and why they work.
Then take those title formats and core component and generate new formats from them, there should be 1 new format per 1 original format.
Generate these new formats by applying one of the methods of modification below.
-Splice two formats together.
-Use an original format and change some core elements of it.
-Use an original format and twist some elements of it.
-Take the format and do the inverse.
-Add a resection to the format in some way.
-Remove and element of the format.
Generate a table, showing the original format, how ti was twisted, the new format and an idea from the new format.
Then create a new table where you rank the new ideas based on the new formats where you give each idea a label in terms of how many views you think it can get. The labels would be Very High, High, Normal, Low, Very Low.](https://pbs.twimg.com/media/GkkdUaVW0AAzZ8H.png)
Pov - you want a faster edit🏃
Want free views in gaming?
Make super long-form videos that leverage impressive time investment.
ANY game.
- Set an end goal.
- Set checkpoints/subgoals.
- Storytelling through live comm and narration.
- Document struggles and solutions.
- Add stakes.
- Add a time limit.
YouTube 2025 Ins & Outs:
✅ In
- Natural-looking thumbnails
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- The "real real" & "the mess"
- Story
- Good sound design
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❌ Out
- Overly posed thumbnails
- Style & aesthetics without substance
- Apology videos
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- 60+ second long intros
- Begging viewers to "like, comment, & subscribe"
- Getting underpaid for brand deals
- Copy & pasting other people's videos (or exact title & thumbnail)
"You've Consumed Enough. It's time to Start Creating."
LOVE the Work some of you Thumbnail Designer's Put In ❤️
Some Thumbnail Variations I made for TheBurntChip’s recent video 🖌️
Title - I Visited the 'Worst' Country in Europe
Some Thumbnail Variations I made for TheBurntChip’s recent video 🖌️
Title - I Visited the 'Worst' Country in Europe
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