Desesko

New Zealand YouTuber (65K+ Subscribers)

[Daniel Faraday @FaradayYouTube]

I spent the last year talking to some of the smartest YouTube teams in the world.

MrBeast. Diary of a CEO. https://t.co/vRwinLRHda. BBC. Red Bull.

7 things completely changed how I think about YouTube. https://t.co/95AiC6Vqgj

[Desesko @WhoisDesesko]

LOOKING FOR VARIETY STYLE THUMBNAIL DESIGNERS! If you can do thumbnails in multiple styles, please contact me! Cheers

[Desesko @WhoisDesesko]

I think one HUGE thing people are missing about @MrBeast’s recent video doing so well is audience spectacle.
The money-based spectacle had become fatigued. Reframing it around everyday questions like “can you eat an entire store?” keeps the broad appeal, but feels new to a viewer

[Desesko @WhoisDesesko]

Looking for Minecraft TN Designers who can do Vanilla Minecraft designs please reach out! Cheers

[MindBranches @MindBranches]

“Start with a great idea, make an argument about it, then support it with data.”
-Dan Koe

How to articulate yourself intelligently

article summary in 4k dark & light

[Max @MaxTorchbearer]

https://t.co/zBulckdcuq

[Track @thetrackk]

https://t.co/EJ4RbbmMqW

[DAN KOE @thedankoe]

https://t.co/Fv1g95nT75

[Mario Joos @MarioJoos]

This is a simplified breakdown of how the YouTube algorithm actually works.

[Machina @EXM7777]

https://t.co/2cnMTXTMl1

[Scient @scientxbt]

this is insane. i genuinely don't understand why ambitious people aren't shown this lecture before their careers start consuming their entire lives.

clayton christensen spent his career studying why successful companies collapse. in his final class, he asked students to apply the theory to themselves: if you keep allocating your time the same way, what life are you actually building?

he had already seen the answer in his own harvard mba class. everyone looked successful at the fifth reunion; by the 10th, 15th, 20th, and 25th, many were unhappy, divorced, and living far from their children.

work shows you the score immediately. close a sale, ship a product, finish a presentation, earn a promotion, get paid.

an hour with your child may produce nothing you can measure today; it may take 20 years to understand what that hour built. so the next free hour goes back to work, one rational decision at a time.

this is how people build lives they never planned: through hundreds of right decisions that lead in the wrong direction, day after day.

money, titles, and headcount are easy to count. christensen believed a life should be measured by the people who became better because you were there.

he died in 2020.

one question remains: if someone saw only where your time, energy, and attention went this year, what would they think actually mattered to you?

the full 19-minute lecture is in the video below.

[phed @PhedEU]

I am building the largest YouTube thumbnail library in the world

Filtered by:
>niche
>colors
>emotions
>objects

[Hades @0xHvdes]

https://t.co/yaevaqn3So

[Nate Curtiss @natecurtiss_yt]

i get over 100 million views a year on long-form youtube.

here's everything i know about youtube in 60 minutes.

0:00 intro
0:28 my experience
4:53 why long videos convert better
7:42 top, middle, and bottom of funnel content
10:06 my style guidelines document
16:58 how to sound like yourself on camera
20:46 why ai scripts kill your videos
24:52 you can't trick the algorithm
34:22 the most important thing on youtube
36:27 making your channel bingeable
43:36 how i started at 10 years old
53:21 why i went to a party school
1:00:39 increasing your surface area of luck
1:04:27 be the organizer in everything

[Mario Joos @MarioJoos]

Let's do some intro reviews.

I’m a retention director working with many of the biggest YouTube creators.

Some of them get over 100M+ views per month.

Ask me to review your long-form intro for the next 24 hours.

[shobhanai @HeyShobhan]

A billionaire literally explained how the entire economy works in 42 minutes better than most $200,000 MBA programs ever could.

[Dhruv kumar @Dhruvkumar16797]

This guy literally explained why some people become successful while other stay average.

The reason is uncomfortable. Game Theory

Watch this:

[Mario Joos @MarioJoos]

YouTube just released a video explaining their algorithm. Here are 50 lessons from this video:

1. YouTube says recommendations are generated based on what it knows about a viewer and their current context. Current context could be factors such as viewing history, time of day, and device type.

2. YouTube says it doesn’t just take a video and try to find an audience for that video. Instead, it starts with a viewer and asks which videos are best for that video at that specific moment.

3. YouTube says a video can have very strong overall metrics (such as ctr and avd) while still being a bad recommendation for a particular viewer.

4. YouTube says a video isn’t initially testing against your subscribers.

5. YouTube says some channels could receive the majority of their viewers from non-subscribers, even shortly after the video being uploaded.

6. YouTube says it can learn that subscribers may not like a video while non-subscribers do.

7. YouTube says it does not decide whether a video is good or bad for everyone based on its early audience response.

8. YouTube says creators tend to overfocus on the first few hours of their analytics. And I couldn’t agree more with this statement.

9. YouTube says a viewer may need to be shown the same video multiple times before they decide to click on it. Often, more than 5 or 6 times even.

10. YouTube says it has experimented with limiting how many times the same video can be recommended to someone.

11. YouTube says context can determine what videos get shown, such as prioritizing a longer video when someone is watching from their TV in the evening.

12. YouTube says its algorithm tries to focus on the long-term value for a viewer.

13. YouTube says there’s no individual metric which determines a video’s success.

14. YouTube says click-through rate often decreases as a successful video reaches a broader audience.

15. YouTube says watch time is important, but doesn’t assume that every minute watched actually represents value.

16. YouTube says it considers both absolute and relative watch time. For those who aren’t too aware of what this means. Absolute watch time is the total amount of time someone spends watching a video, while relative watch time is the total amount of time someone spends watching a video relative to its length.

17. YouTube says satisfaction surveys are used because other metrics alone can’t tell whether viewers actually enjoyed the video.

18. YouTube says, and this one is important, that there’s no universal weighting where one metric has the same importance for every viewer.

19. YouTube specifically recommends looking at retention graphs to understand where viewers are dropping off (You can image how much I smiled when a heard this, for those who don’t know me, I’ve been obsessed with retention knowledge for years)

20. YouTube says turning comments off is not supposed to cause the recommendation system to penalize your videos.

21. YouTube says it tries not to interpret the lack of comments as evidence that viewers don’t like the video.

22. YouTube says the recommendation system is designed not to make decisions based on a single factor.

23. YouTube says turning ads off reduces your video’s reach.

24. YouTube says the algorithm is not trying to assign your entire channel to one topic category.

25. YouTube says it doesn’t deliberately push longer videos simply because it wants longer content getting more views.

26. YouTube says the change in performance for longer viewers is driven by viewer preferences.

27. YouTube believes short-form video became successful because it reduces the decision a person needs to make when choosing what to watch. I’m saying believe because it’s a hypothesis, a hypothesis that I believe is fair to make.

28. YouTube says increasing thumbnail size and showing less videos on desktop increase overall engagement with long-form content.

29. YouTube says it would not have launched the homepage redesign if its experiments had shown that it reduced viewership.

30. YouTube says they’re running hundreds of experiments on the platform at any given moment.

31. YouTube says people sometimes think temporary experiments are permanent changes.

32. YouTube says one off-topic video blowing up does not mean the algorithm is suddenly confused about your channel.

33. YouTube says the decision to create a second channel should be based on whether the content serves the same general audience.

34. YouTube says if two types of content offer different value propositions to different audiences, you should probably consider a second channel.

35. YouTube says its recommendation system can connect audiences between two separate channels when the same viewers watch both channels.

36. YouTube says even when unrelated content is uploaded on the same channel, it can distinguish which videos a viewer may care about.

37. YouTube says a viewer who watched only your short-form videos doesn’t necessarily get your long-form videos recommended. This is in-line with my own findings on viewer conversion being extremely low between formats, often reaching 0.2% or lower.

38. YouTube says a viewer who likes only one topic on your channel, can increasingly only be served that specific topic from your channel.

39. YouTube says creators should plan content around different audience groups instead of assuming their entire audience is one homogeneous group. The way I explain it to creators is: the viewer composition from one video may completely differ from the composition from another video, even though the performance looks the same.

40. YouTube says data from your subscription feed is often better to look at because it's a more controlled subset of your audience. I agree and disagree on this one, because it may also be a limited subset of your audience, so there’s nuance involved with this one.

41. YouTube says viewers regularly watch content from hundreds of channels that have little topical overlap to one another.

42. YouTube says a brand-new channel does not need existing viewer history for its videos to get recommendations.

43. YouTube says it actively tracks whether creators are succeeding and growing through the ecosystem. I can say that they definitely do, sometimes at the benefit of big creators, sometimes at the benefit of smaller creators.

44. YouTube says it actively tracks whether creators are earning enough revenue to system themselves. This is an interesting one which I haven’t heard them talk about, even in private conversations so I’d be curious to know how they’re doing this.

45. YouTube says bad retention from an external viewing source doesn’t automatically mean that performance should hurt the video on the homepage. This aligns with the advice that you can actually link your content to groups you know for some initial traffic, as long as this group would actually enjoy your content.

46. YouTube says homepage recommendations mainly care about how a video performs in the homepage context. We can actually notice this with shorts. When shorts have better thumbnails, they perform better through browse versus when they don’t have thumbnails.

47. YouTube explicitly gives advice to not disable subscriber notifications in an attempt to improve algorithm performance. They even state that it could prevent connecting your upload to people who would have watched it. Also, at the beginning of the interview they also state that this is the only way to guarantee your content being pushed to your audience.

48. YouTube says subscribing to a channel is a weaker signal of future viewing than most creators assume.

49. YouTube says creators often underestimate how many other channels their own fans regularly watch.

50. YouTube says that you should comment under this post so it reaches more people and so I’m more likely to re-appear in your feed. While I’m half-joking, it does help and my goal is to always spread as much of this information as possible to others.

Hope you enjoyed this long summary.

[DJ.en @thisisdjen]

https://t.co/yJ2MX09OFl

[DAN KOE @thedankoe]

https://t.co/7l7Jef99QZ