Nature

Check out MogPunks by @xexcy. Free mint for Farcaster OGs, Interns and more!

when it rains, it pours. airdrop of 2B $noice, live

NOW. 

to claim: quote cast this post and tag creators who make farcaster noice for you 😘

Came across this critter on a recent hike. I was amazed that the little guy didn’t slither away when I got close to take a pic. 

This pic has no filters on it…isn’t it beautiful how the snake blends into its natural surroundings?

biohack

The highest ROI addition to your morning routine is getting 15-30 minutes of SUNLIGHT in your eyes daily ☀️👁️

Benefits include:

- Resetting your circadian rhythm
- Improves sleep quality
- Boosts alertness
- Elevates mood
- Enhances Vitamin D production
- Regulates your hormones
- Supports eye health

I love this my Boss, no need to explain myself too much. I would have just buy his house join.

noice

may 12, 9 days before launch: 

“we will face a 90% drawdown anyway, come what may. it’s what we we do after the big dump”. 

born ready

leisure

The only way one could rightfully kick off this channel. 

Pavarotti drives his Yamaha MBK Booster scooter on the grounds of his hilltop villa in Pesaro, Italy

Zora

A social network for the new creator economy.

Creator Coins are profile-based tokens on Zora. 

Every username gets a coin, your handle is the ticker. Posts now work together with profiles for even more ways to earn. Existing users can activate theirs now; new users get one by default.

As promised! Just in time for the weekend... 

@poolsuite mini app v0.1 ☼ 

Shoutout my brother in leisure @lewisking for getting it together so quickly.

Chiang Mai, Mueang Chiang Mai District, Chiang Mai, Thailand

Internet Leisure Corporation ☼ poolsuite.net

As promised! Just in time for the weekend... 

@poolsuite mini app v0.1 ☼ 

Shoutout my brother in leisure @lewisking for getting it together so quickly.

https://farcaster.xyz/miniapps/hI7o_jQXpIxk/poolsuite-

Parenting

it was quite a sunny (and long) day in LA but i got a smirk out of @dwr.eth

Memes

What do you mean you studied what I’m studying now in school 😪

Food

what are y'all having for dinner?
me: idk why I'm getting so fat
also me on a random afternoon:

teddit

honest personal take (disclaimer: i'm not an ML expert, i just study and use a lot of social apps):

i think its highly unimaginative and tired to tell new users on a social platform to "reply a lot" in order to get any engagement.

social platforms, for a long time, pinned discovery as a user problem. tiktok changed that. they didn't expect users to earn attention the hard way (hustling to self-promote and get follows).

instead tiktok took on discovery as a platform problem and decoupled distribution from follower count entirely: a content-first, graph-agnostic approach.

on tiktok, a user's responsibility is to make good content and the algo would do the rest based micro interactions and watch behavior. YouTube took a similar approach, but favored creators who mastered their (effort intensive) rules: SEO knowledge, thumbnails, content cadence, etc.

if we're hearing that discovery is a problem, the question should be: whose problem — the user's or the platform's?

take long-form text platform substack: the recommender engine places more of the burden on the platform than the user, and the platform bias is towards quality via a trust graph.

it recommends newsletters based on what you read, introduces editorial curation, and the "recommended by other writers" feature means that small / new writers can get regularly recommended to audiences that a specific writer's taste.

each platform makes a design choice about who should work to be seen. on substack, they believe that good writers should be lifted through network effects and curation.

does this scale easily? no, it scales slowly but is compounding.

so why is this so hard for short-form text-based platforms like twitter, threads, bluesky, or farcaster?

because short-form text is typically low-signal, high-noise. short posts on their own carry very little context or signal. it's easier to produce, but harder to evaluate. as a result, discovery for short-form text platform has relied heavily on follower graphs. 

twitter initially solved this with hashtags (then failed to do it at scale with lists, fleets, and circle). substack partially solved this with its writer graph (trust graph) and categories (topic / semantic clustering).

and i think farcaster's open data, mini apps, and interoperability (zkTLS) can be leveraged for creative solutions here that aren't possible on other platforms. that excites me.

Is this the user’s fault or the platform’s fault?

Excellent question by @ted. Should be asked in many situations, not just this one. Because sometimes it’s user error, sometimes it’s platform error, and sometimes it’s both.

building farcaster | surfing @ venice, ca | eating @ gjusta / gjelina | “lucky me, lucky mud” 🤠

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reply guys

GN GUYS..
Hope I become active from Tomorrow 😃 😢

the first person to receive 10,000 tips with @noiceapp 👀

the first person to receive 10,000 tips with @noiceapp 👀 
https://app.noice.so/dwr.eth

Prithvi

@prithvii