"no good argument"

I just gave their argument: it helps them to perfect the algo

There is nothing inherent about web3, now or ever since the beginning, that says that businesses building in it are not supposed to make their apps as entertaining as possible. Time spent just happens to be the best proxy (not ideal, I get it, but the best we have at scale) for it. 

It's also not like they're anti user feedback. They've listened to plenty of it over time and made changes that made sense to them. They have LISTENED to your feedback, but they've chosen to not implement it. We need some /nuance here. Listening doesn't necessarily mean doing what's suggested. It means you open-mindedly take the input, then PROCESS that input, and decide on an output aka whether to implement or not or maybe modify it and implement it. If you don't allow for this process, you're not respecting their autonomy.

I'll accept that "many others" have requested this but as long as it's a small minority, the tradeoff makes sense.

Too many people on here whine and complain that "Merkle doesn't listen to user feedback" when in reality what they mean is "Merkle (an independent, for-profit, centralized organization) didn't implement my specific demand"

"It's also not like they're anti user feedback. They've listened to plenty of it over time and made changes that made sense to them. They have LISTENED to your feedback, but they've chosen to not implement it. We need some nuance here. Listening doesn't necessarily mean doing what's suggested. It means you open-mindedly take the input, then PROCESS that input, and decide on an output aka whether to implement or not or maybe modify it and implement it. If you don't allow for this process, you're not respecting their autonomy."

/new-york by day 🗽 /untzuntz by night 😈 Fan of eating tacos and bringing people together, often at the same time 🌮

i think honestly a long-lived FAQ would help the comms issue a lot so we don’t have to dig around all over fc to find stuff like this (and thank you for excavating)

i’m working on something in this vein (permissionlessly)

a lot could be solved by community organization. Merkle doesn’t have to spoonfeed us (or have time to anyhow)

Warpcast

Farcaster

working on infra to displace adtech at /microsub • dance music lover + host of /campfire 🎧

father, husband, css golfer, ux engineer, silently defining variables as /sdv sdv.wtf

bookmarked and may ping you about this sometime soon. lots of cool ideas here

100%.

It's incredible how many questions the team is able to field on a daily basis, but it must be exhausting.

One idea I had was a service that scrapes /warpcast, /farcaster, and  related channels for new casts, runs an LLM to label them as a question/feedback/issue, then lumps it together with similar concerns.

As more context is collected, the specific topic develops weight (sum of replies, likes, recency, etc) and it surfaces higher on a home page / frame of sorts.

Then, if an official Merkle response has been provided, it too can be LLM labeled with a status like acknowledge, in progress, done, etc.

Lastly, a bot can take this aggregated data and monitor responses and other casts and link it back to the topic, with a brief summary like "Merkle is already working on this!"

Organic and automated triaging.

@dwr.eth answered at least 9.5k questions according to FC data.
I trained an AI on 5.5k of his answers, and the results look promising:

Problem with an FAQ is that most people won't take the time to read it, needs to be more integrated into the conversation in context, maybe a bot trained on Merkle's replies and docs that can reply to certain questions or matching topics (@nt built something in this vein with Dan's cast data)

let's build clank.fun. prev: web3 founder, improbable, github, amazon. ntik.me

liking this direction 

considered it for @microsub (i answer the same few questions constantly…they are all answered clearly in FAQ, to your point)

Problem with an FAQ is that most people won't take the time to read it, needs to be more integrated into the conversation in context, maybe a bot trained on Merkle's replies and docs that can reply to certain questions or matching topics (@nt built something in this vein with Dan's cast data)

https://warpcast.com/nt/0xdbad903a