Loud!, a simple token experiment, has dominated the conversation on CT last week. Powered by Kaito, Loud distributed 45% of its token supply to users who promote Loud in a first-of-its-kind Initial Attention Offering (IAO). The novelty of the launch mechanism and upside speculation propelled Loud to 76% Kaito mindshare. After a down-only token launch, Loud, along with the broader InfoFi narrative, is being blamed for the downfall of CT.
So 76% mindshare gets you 14M fdv?
— Verdades (🐢,💚) (@pedro_verdades) June 1, 2025
Loud’s distribution experiment indeed had a cancerous effect on CT. It failed to spark substantive dialogue, and incentive dynamics masked signal in favor of slop. Despite this, I consider Loud a poorly designed but ultimately successful experiment. Here’s why:
-
It is trivial to simply mute “Loudio”/”Loud”/”Stayloud” and remove oneself from the experiment.
-
Complaints tend to focus on the negative impact on the timeline rather than the distribution mechanism itself. As a productless token, LOUD will naturally generate the lowest-quality content. If the same distribution were applied to Monad, there would be some level of improvement in the content.
-
The experiment had an unmasking effect on many KOLs, revealing true intentions and providing insight into mutable accounts that may not be worth reading.
-
The program’s poor design, short timeframe, and arbitrary rules (>10 smart followers) directly contributed to the quality of content (washed KOLs offering smart follow for follow, OTC markets for smart followers).
-
The token has been, quite predictably, a miserable failure. $4M market cap with low volume, LPs immediately undercut the 4% fee pool that was intended to fund post-TGE mindshare rewards in perpetuity. The market sent a strong signal that this wasn’t good enough.
Perhaps the disturbing element of InfoFi is the ease with which poorly designed incentive structures can cause humans to behave like bots. It’s an unsettling realization to see that your peers have that bot in them, and that your timeline, the diligently curated lens through which you view reality, is so vulnerable to manipulation.
As the Loud experiment unfolded on X, an exciting new mini-app called Noice emerged on Farcaster. This post will explore how Noice could remedy early InfoFi hiccups and accelerate the creator economy.
Noice
Noice is a Farcaster-native microtransactions app. It allows users to passively give and receive tips for every like, recast, quote, comment, or follow. Tips can be made in any token: USDC, ETH, custom tokens, etc. With the request feature, users can set prices for likes, comments, recasts, or even a call. These settings can be calibrated on the user profile.
...1/
introducing noice.starting today, your likes, replies, dms — t
