Incredibly thorough and fascinating pod with @a16z 16 min episode with @smc90 & @eugenewei on:

Tiktok's unique qualities, "seeing like an algorithm", and applying the lessons we learn from TikTok to other future products.

Learned so much from this one!

Notes in Thread! 😄
1/ Uniqueness of Tiktok:

• Closed-loop ecosystem: users create training data that it then trains its algorithm on

• Functionality: High-production film techniques accessible

• Creative Network Effects: For You Page makes trending ideas salient — easy remix of ideas
2/ Structural Components of TikTok

• Duets – easily 'react' to people's content without the blank page issue when first coming up with content

• Full screen video, captures users attention and data effectively (how long you watch/scroll past etc)

• Licensing of Music
3/ Free vs Managed?

• TikTok is a mix of a free market and a managed economy.

• Managed: Trending items at the top of the page, so you know if you do it you have a higher likelihood of virality

• Free: Anyone can become famous
4/ TikTok as an “assisted evolution” ecosystem

• Uses algorithm rather than a social graph, as the primary axis of distribution.

• Algorithm allows you to see content from people that you don’t follow that you would enjoy otherwise
5/ TikTok's "seeing like an algorithm”

• Huge operations team that when videos are made, are tagging videos with features and attributes

• Full screen one video mode allows them clues as to your sentiment on individual videos/tags

• “Algorithm friendly design”
6/ TikTok is a 'sorting hat'!

• Efficient at matching content, to people who will enjoy that content

• Breaks down geographical barriers

• People’s tastes change over time. TikTok algorithm can quickly detect this
7/ Tiktok within the taxonomy of Social Networks

• Not really a 'social network', but an entertainment network

• Primary purpose is to match these entertaining videos from creators, to the audience that would enjoy them
8/ TikTok Acquisition?

• People may be overrating the algorithm in terms of how unique the algorithm is itself

• BUT, without it, would take a long time to rebuild a new one

• May not be as responsive and lead to churn
9/ Applying Lessons from TikTok

• Cut straight to the interest graph vs standard social network

• We underrate how much people respond to video vs text (High Bandwith Medium)

• For video to scale, you have to overcome some of the challenges inherent to video
10/ Final Thoughts 🔥

• Body language is 'universal' and that's what video-centric media does

• TikTok’s impact = model for building a new sort of network based on algorithmic recommendations

• “TikTok is such a fertile source for origination, mutation, and dissemination”
You can follow @nixseah.
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