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Social Miner 😉

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Joined November 2021
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I'm Junk retweeted
Projects working with a community face a simple problem: they cannot tell which attention is real. A campaign might bring a flood of likes and new followers, then the dashboard goes flat the week it ends, and the team is left wondering what anyone actually understood That is the ghost metric problem described by @TheDAOLabs. Lazy or automated activity looks like reach but carries no memory of the product. Contribution behaves differently. A thorough research post, a clear explainer of how a feature works, a writer who keeps showing up and answering questions, all of it stays visible and can be checked by the project and by future users Having WhoTweets track reputation with volume is useful here, because it lets stronger work rise above sheer output. And since Social Miners earn only when the output passes review, a project ends up with material it can point newcomers to months later For teams, that is the real benefit of #SocialMining. Not a spike, but a library
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop. Real contribution looks different. It shows up in original research, clear explanations, and steady participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review. One can be bought. The other can be examined.
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I'm Junk retweeted
Four Days Left In Season 1. @rarelistio I've been watching the Rarelist leaderboard all season, and the final days always tell the truth about a campaign. The points stop mattering as much as the pattern. Who kept showing up when the pool was nearly counted. Season 1 closes on November 12 with a $50,000 pool behind it. Eleven thousand creators shared one season, and the timeline felt different because of it. What stays after the season ends is not the ranking. It's the habit of posting something worth reading. That's the part I'm keeping. Powered by @rarelistio
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I'm Junk retweeted
Turtle is not waiting for Q4 to prove the next product. Turtle is a liquidity distribution protocol that connects protocols needing liquidity with LPs looking for steadier incentives, and @turtledotxyz sets out the detail in its Q3 Group revenue reached $1.04M in Q3, up from $898K in Q2. Hare by GSR is a credit desk that launched on 7 October, and its first vaults are Hare USD Earn and Hare Gold Earn. Both vaults are powered by Aave, and the gold vault works with Paxos. A distribution layer that already earns revenue can carry a new credit product without asking LPs to trust a promise first. Hare's first vaults open in Q4, and the test is whether the same distribution that worked in Q3 keeps working at a larger scale.
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I'm Junk retweeted
First sip of Baron Blue Java, brewed in my phin, black, no sugar #Coffee. Whoooaa! that's got body. Strong but not harsh, with a dark chocolate thing going on. I'd heard Robusta can be bitter, but this one really isn't. Nice one @Barbera_1870
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I'm Junk retweeted
Oro came as two bags, which I love. One opened, one saved for later. Future me says thank you 😌 Very practical move for an everyday #Coffee, @Barbera_1870.
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I'm Junk retweeted
Restaurant guides learned this lesson long ago. A place with a thousand paid reviews and a place with a single honest critic visit are not equal, even if the first looks busier on paper. Inspectors return unannounced, eat the food, and write down only what they can defend Social media still mostly counts the crowd outside the door. Follower totals and like counts get treated as proof of influence, yet a large share of that is what @TheDAOLabs calls ghost metrics: automated or careless signals that disappear the moment someone stops paying for them The alternative in the clip is closer to the inspector model. Deep research, plain explanations and regular participation produce something a stranger can examine later. WhoTweets reads volume and reputation side by side, so a strong piece can weigh more than a pile of filler, and miners collect Rewards only once the output clears review The closing line says it best: one kind of signal can be bought, the other can be examined. Every serious guide in the #DAOVERSE should probably be built on the second
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop. Real contribution looks different. It shows up in original research, clear explanations, and steady participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review. One can be bought. The other can be examined.
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I'm Junk retweeted
Can we just look at this tin for a second? It looks like something from an old Italian grocery shop. I'm definitely keeping it after the coffee's gone. @Barbera_1870 knows how to make #ItalianCoffee look good.
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I'm Junk retweeted
Science figured out long ago that popularity is a poor test of truth. A paper is not accepted because many people liked the abstract; it goes through review, its methods are examined, and other researchers try to reproduce the results. Citations come later, and they mean something because someone checked the work first Social platforms skipped that step. They count likes and followers and call it influence, even though, as @TheDAOLabs points out, much of it is the ghost kind that vanishes when incentives disappear. There is no method section to inspect, no way to reproduce a like The model in the clip borrows from the scientific habit. Contribution means original research, explanations others can follow, and participation steady enough to build a record. WhoTweets balances reputation against volume, while Rewards for Social Miners depend on clearing review first, a bit like publication after peer review It will never be as formal as a journal, and it does not need to be. Bringing even part of that discipline into #SocialMining makes the #DAOVERSE a more trustworthy place to learn
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop. Real contribution looks different. It shows up in original research, clear explanations, and steady participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review. One can be bought. The other can be examined.
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I'm Junk retweeted
As someone who grew up with Vietnamese Robusta, I was really curious about this one. It's smoother than what I'm used to. Less of that punch, more chocolate. Still strong enough to wake me up though  Interesting to taste Robusta roasted the #ItalianCoffee way by @Barbera_1870.
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I'm Junk retweeted
Cheap signals are cheap for a reason. A like costs nothing to give and even less to fake, which is why most of them carry almost no information about the person who earned them The @TheDAOLabs clip makes the economic case cleanly. Activity that only exists while someone pays for it is a cost, not an asset. Original research and clear explanation behave more like capital: they stay on the record and keep being useful to whoever reads them later WhoTweets pricing reputation next to volume is the part I find smart. Value can compound for contributors who build carefully, which is a sound model for the #DAOVERSE
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop. Real contribution looks different. It shows up in original research, clear explanations, and steady participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review. One can be bought. The other can be examined.
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Restaurant guides learned this lesson long ago. A place with a thousand paid reviews and a place with a single honest critic visit are not equal, even if the first looks busier on paper. Inspectors return unannounced, eat the food, and write down only what they can defend Social media still mostly counts the crowd outside the door. Follower totals and like counts get treated as proof of influence, yet a large share of that is what @TheDAOLabs calls ghost metrics: automated or careless signals that disappear the moment someone stops paying for them The alternative in the clip is closer to the inspector model. Deep research, plain explanations and regular participation produce something a stranger can examine later. WhoTweets reads volume and reputation side by side, so a strong piece can weigh more than a pile of filler, and miners collect Rewards only once the output clears review The closing line says it best: one kind of signal can be bought, the other can be examined. Every serious guide in the #DAOVERSE should probably be built on the second
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop. Real contribution looks different. It shows up in original research, clear explanations, and steady participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review. One can be bought. The other can be examined.
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I'm Junk retweeted
Years ago miners turned electricity into Bitcoin. Today the same machines and power lines are learning a new trade, turning watts into AI output. That is the thread @TheDAOLabs pulls in Compute 101, explaining what a GPU hour is and why the #DAOVERSE should care
Machine + electricity = market-priced output. The logic behind Bitcoin and Social Mining is now turning raw processing power into AI’s new oil. Here is what “compute” actually means, how GPU-hours trade, and why it matters. 👇👀🖋👇
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I'm Junk retweeted
Found out @Barbera_1870 has been roasting since 1870. Six generations of the same family. Makes sense the tin looks like a piece of history. Kind of cool to drink #ItalianCoffee with that much story behind it.
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I'm Junk retweeted
Afternoon coffee from the tin with a biscuit on the side. Very Italian of me. Or at least that's what I'm telling myself  #Coffee break brought to you by @Barbera_1870.
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