Channels & Crypto Natives

Examining the evolving nature of community formation on Farcaster

Sid Shekhar

Sid Shekhar

We're been seeing an interesting phenomenon take shape over the past few weeks. Channels on Farcaster have become a central schelling point for grassroots community formation. Over 43% of people with a Farcaster account have never casted before. But of the people that have sent casts, almost 70% of them were in a channel. This week I dug into the open cast data on channels and their usage to see what the numbers say.

The average number of channels a Farcaster user casts in is ~8 channels!

While this is a number significantly skewed by the upper spectrum of users (like the @degentokenbase bot which has replied in over 2000 channels), this is still quite large for an average!

Taking a closer look, I took the top 15 channels by follower count, and saw 7 that are "crypto native" and/or related to Farcaster in some way and 8 that are general purpose non-crypto channels. A pretty even mix.

For folks who cast in multiple channels over time, what is the overlap in usage between channels?

post image
The top 15 channels on Farcaster and how much overlap in users they have

A few things jump out. Firstly there are a core 4 channels (/base, /degen, /farcaster and /frames) that have a significantly high level of users who post in several of them. And on the other hand, there are some supremely uncorrelated non-crypto channels like /tabletop (for board gamers) and /front-end with their own sub communities.

Prolific Channeloors

If an average user posts in 8 channels, how does it actually break down? Bucketing by the number of channels that users post in shows this distribution:

post image

The cognitive choice of what channel to place a cast in is understandably tough (when the menu of choices is so large) so 2-4 channels being the largest bucket here makes sense. It's akin to an all-you-can-eat menu in a restaurant - you eventually end up choosing the same few dishes over and over out of habitual grooves and comfort.

However, what's interesting is that:

  • 21% of users don't post on channels at all (mostly first time casters) and

  • Nearly as many (19%) of users are prolific channeloors (casting in 10+ channels)

Topic Dispersion

So which channels are getting the most traction?

As we saw earlier, one way to segment channels is between "crypto-native" ones and more general purpose channels - as clustered on the right hand side of the visual below.

post image
Farcaster Channels (larger bubbles meaning more followers)

What's been cool to see as an emergent feature of the crypto native channels on Farcaster is that they've organically sprouted highly engaged sub-communities. From large ones like /degen and /nouns to several smaller ones that have sprung up over the past few weeks - /higher, /sendit, and the notorious /ticker - many with a namesake memecoin or NFT collection to rally around.

While it's hard to see general-purpose non-crypto channels like /founders or /frontend coaelsce around a token, it's possible to see a world where every crypto-native channel on the network has some sort of token or on-chain asset associated with it.

Reddit, Farcaster, & the road ahead

This past week saw Reddit IPO at a $7B valuation - 19 years after its founding and millions of users and posts later. For a certain portion of the internet, Reddit is their defacto "front page of the internet" - a central hub for a vast variety of content - including news, discussions, opinions, and entertainment - all sourced and curated by its users. The similarities between Reddit and Farcaster have been well documented.

Compared to the Farcaster topic space, how do subreddits compare?

post image
Subreddits (larger bubbles meaning more subscribers)

Apart from r/funny which stands above the rest, you can see the wide range of general purpose topics across the spectrum all with 20M - 30M subscribers - many of whom gained their initial following from users getting auto subscribed to them upon joining Reddit.

Channels on Farcaster were initially described as "decentralized subreddits" when initially launched last year. For folks who get started with Farcaster, the platform as a whole looks and feels like one big cryptocurrency subreddit. However, as the network has grown, what's been interesting is seeing the the growth of new channels in both "crypto native" topics to markedly more general purpose ones.

There are over 100K subreddits and close to 5K channels on Farcaster and there are several topics (like "memes") that have large communities on both.

post image
Channel on Farcaster (Left) vs Subreddit on Reddit (Left)

As Farcaster matures, and the selection of feature-parity clients (not restricted to just Warpcast) grows, it will be interesting to see which path becomes more dominant - a network of specialized, crypto-native sub communities or more generalist channels with wider appeal akin to Reddit.

Channels, including how they're moderated and managed (with channel passes), and the communities that form around them will play a crucial role in shaping the network's future direction and identity. As users continue to tune in and out of different channels, they will collectively determine the types of communities and conversations that define the Farcaster experience.

Collect this post as an NFT.

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Over 200 subscribers

Gramajo
Gramajo
Commented 1 year ago

Fantastic post!

tomuFarcaster
tomu
Commented 11 months ago

great article about channels by @sidshekhar https://paragraph.xyz/@castaway/channels-and-crypto-natives

SidFarcaster
Sid
Commented 1 year ago

GM Did a deep dive into channels and wrote out key findings: - How much overlap is there between users? - What are the different flavors of chaneloooors? - What's the dispersion of topics (crypto native vs general purpose)? Hope you enjoy 🙏 https://paragraph.xyz/@castaway/channels-and-crypto-natives

SidFarcaster
Sid
Commented 1 year ago

s/o top 10 multi-channeloors: 1) @dwr.eth - 215 channels 2) @icetoad.eth - 209 channels 3) @tahiyangan - 185 channels 4) @kmacb.eth - 182 channels 5) @lishousesq4rz - 176 channels 6) @foxgom - 171 channels 7) @gokhan.eth - 168 channels 8) @elesel.eth - 163 channels 9) @artlu - 160 channels 10) @qt - 155 channels

KMac🍌 ⏩Farcaster
KMac🍌 ⏩
Commented 1 year ago

Blaming d33m.com rooms & talking about too many ⚽️ matches. Too easy to create 🚾‘shadow’ channels.

Icetoad 🎩🍕Farcaster
Icetoad 🎩🍕
Commented 1 year ago

Damn. Didn't realize I had casted that many places haha

kbcFarcaster
kbc
Commented 1 year ago

somebody likes to look around...

Icetoad 🎩🍕Farcaster
Icetoad 🎩🍕
Commented 1 year ago

I have interest in a lot of different subjects and I like to make sure I am posting in an appropriate channel. There are A LOT of channels now so it makes it easier to do.

ilemiFarcaster
ilemi
Commented 1 year ago

Nice stuff! 1000 $degen

kbcFarcaster
kbc
Commented 1 year ago

Cool analysis and write up. How did you classify the channels?

SidFarcaster
Sid
Commented 1 year ago

Was manual for the top channels for now. Tried automated at first but it's hard for 5k+ with esoteric names

Nick TFarcaster
Nick T
Commented 1 year ago

This is fantastic 💯 How did you get/process the data? I'd love to have a live version of these visualisations

SidFarcaster
Sid
Commented 1 year ago

thanks! All the data sourced from @neynar hosted DBs. Can probably make a running version on Dune!

kugusha 🦋Farcaster
kugusha 🦋
Commented 1 year ago

That's a great analysis (very well structured, thanks for this!). Curious to know your data sources (if you monitor any Dune or have some vizualization in Notebook) and higher ↑↑↑

kugusha 🦋Farcaster
kugusha 🦋
Commented 1 year ago

10000 $degen

John CamkiranFarcaster
John Camkiran
Commented 1 year ago

The channel overlap data looks like it holds more insight than can be readily observed from a table. Would be interesting to perform hierarchical clustering to reveal the underlying topology

SidFarcaster
Sid
Commented 1 year ago

Yes good idea. The classification of the kinds of channels involved (with some form of taxonomy) would also help here

John CamkiranFarcaster
John Camkiran
Commented 1 year ago

Definitely. The taxa could even be assigned by an LLM based on channel cast data

Trupty Somaiah 🦉Farcaster
Trupty Somaiah 🦉
Commented 1 year ago

extremely interesting numbers. Thanks for compiling this 333 $DEGEN

pradeepbv.ethFarcaster
pradeepbv.eth
Commented 1 year ago

Thanks for the effort you put in to analyse and visualise this. 420 $DEGEN

Daniel🎩🟣🔵Farcaster
Daniel🎩🟣🔵
Commented 1 year ago

🫡

WubFarcaster
Wub
Commented 1 year ago

Really great work Sid 50 $Degen

ParagraphFarcaster
Paragraph
Commented 1 year ago

@sidshekhar shares fascinating insights on Farcaster. Channels are becoming central to community formation, with 70% of casts sent in a channel. The average user engages with ~8 channels, indicating the existence of highly engaged sub-communities. Interesting to see how the network matures and evolves!

Channels & Crypto Natives