Jeff Yanta (@jeffyanta) profile picture

Backend developer @flipcash

Joined October 2011
Photo by Jeff Yanta (@jeffyanta)Photo by Jeff Yanta (@jeffyanta)Photo by Jeff Yanta (@jeffyanta)Photo by Jeff Yanta (@jeffyanta)Photo by Jeff Yanta (@jeffyanta)Photo by Jeff Yanta (@jeffyanta)Photo by Jeff Yanta (@jeffyanta)Photo by Jeff Yanta (@jeffyanta)Photo by Jeff Yanta (@jeffyanta)Photo by Jeff Yanta (@jeffyanta)
Jeff Yanta retweeted
Likes are free. Money means something.
Some messages deserve more than a 🔥 Boost any reaction with Moony on @Flipcash
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Jeff Yanta retweeted
Flipcash is quite literally built different
Multiplayer/collab with the factory in @flipcash
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Every mobile webpage for @flipcash just got revamped. Check it out and let us know what you think!
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It hasn't been that long since we released private groups on @flipcash, and we have a bunch of upgrades in the pipeline: - Request money from group members. No other app will compare to our experience for splitting a bill. - Directly send money to up to 10 members in your group in one shot. - New invite link flows with Telegram customization options that deprecates the current adhoc approval flow.
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Have influence, but get a lot of useless DMs? Filter out the noise, make people pay to DM you on @flipcash.
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Jeff Yanta retweeted
The internet is noisy. Money can change that.
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Jeff Yanta retweeted
New on Flipcash: End-to-end encryption in 1:1 chats and private groups
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E2EE for DMs on @flipcash has been enabled this morning!
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👀 early preview of paid reactions on @flipcash
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App is coming together incredibly quickly 🚀🚀
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⛰️🎉
Alpenglow is live on mainnet-beta ⛰️ 🎉 Solana’s new consensus protocol: finality reduced from 12.8 seconds to 150 milliseconds, built by Anza. Why this is important 🧵
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Great analysis
The Audit Of The Memecoin Casino Since late August we have recorded every trade on every pump fun and Stonk launch on Solana. Not a sample. All of it: 384 million swaps from 7.7 million wallets across more than a million pools, every bonding curve and every pool that follows it. That is over 56 GB of data and 820 million rows of market history, and it grows by 18 to 25 million trades, up to a million wallets and more than 60,000 new launches every day. We measured each coin minute by minute. We scored every entry by what the coin did next. We trained neural nets on the result, then went wallet by wallet looking for the people who actually win. The question was simple: can anyone see the big move coming before it happens? The short answer is no. The long answer is worse than no, because the data does not just fail to find an edge for you. It shows, in detail, who holds the edge, how they use it, and what they do with you. Start with a coin that has actually caught a bid: real volume, real buyers, the kind of thing that shows up on your screener. From any given moment, about one in ten of those doubles within the next 24 hours. The rest bleed, and the bleeding is not gentle. Now take a wallet's first buy into a live coin. Every first buy, 22.8 million of them over a two-week window. In 17% of those entries the coin doubles before it drops 40%. Trade that mechanically, double or stop, and you lose about 19% per attempt after costs. Call that the house hold. A slot machine keeps 5 to 10%. This keeps 19%, per pull, before any skill or selection is applied. The reason is the shape of the payoff. A 2× pays you 100%. The failures do not cost you 10%; they cost you 50%, 80%, 95%. To break even you have to be right far more often than the game allows. The cabal is real, and we can see it CT calls it the cabal. The data calls it a cluster: a set of wallets whose first buys land within a minute of each other, on the same brand-new coins, over and over. We do not find them by name or PFP. They fall out of the trade stream all on their own. They are there. Swarms of 450, 1,400 and 2,000 wallets that hit hundreds of launches a week, moving in within the first minute or two of a coin's life. Smaller, tighter groups of 7 to 50 wallets that pick their spots. Across daily refreshes the count has run from 9 groups to 33, with members rotating in and out as wallets burn and fresh ones take their place. They are not guessing. The coins the big swarms pile into double 28 to 46% of the time, three to four times the base rate. Their own entries, across every coin they touch, run 50 to 60% to a 2× before a 40% drop, against 17% for everyone else. That is what an edge looks like in this market. It belongs to a few hundred wallets, and it is applied to tens of thousands of launches with industrial regularity. Copying them loses too The obvious retort: find the cabal, copy the cabal. We did exactly that. A machine watches every launch every minute and flags the moment a known group piles in. Then we traded every flag the way a fast human could: in two minutes behind the group, double or stop out at −40%, out after a day. Following the big swarms lost 41% per coin across 93 coins. The median result was −95%. Not because they were wrong; their coins doubled 28% of the time. Two minutes behind them is simply already the top of the move. They bought at launch. You bought the candle they are selling into. Following only the groups with a positive track record still lost 11% per coin. Following one good wallet on its own lost 20% per trade in our back-tests. The single pocket that came out ahead, a handful of small, tight groups, made about 10% per coin over 16 coins. That is a few days of trades and nothing anyone should bet a bankroll on. The cabal's edge is not information you can borrow. It is position. By the time their trade is visible on-chain, the thing that made it profitable is gone. The best model we could build still loses We also tried the honest version: no cabal, just prediction. Dozens of signals per coin every minute, price, flow, liquidity, holder behaviour, bot share, fed into neural nets trained on our own history and tested on days they had never seen. It works, in the sense a quant would recognize. The top of its ranking doubles 26% of the time against a 10% base rate. Two and a half times better than chance. It also loses money every single day. 771 picks over eight days; every day negative; −11% per pick on the same double-or-stop rule; the median pick down 45%; 55% stopped out within 24 hours. The ranking is real and the P&L is still red. The losers are deeper than the winners are tall, and nothing observable at the five-minute mark separates the coin that keeps going from the one that reverses. That is the part worth meditating on: a model 2.5× better than chance odds is still a losing model. Why nobody sees it coming The reason is simple, and it should change how you look at every chart. A meme coin moves because a few people decide to move it: the operator holding the supply, the caller with an audience, the wallet group with the bankroll. That decision is made off-chain. The chain only shows you its execution, the swaps, the volume, the new holders, and by then the first leg is done. Everything a trader looks at, from a screener to a chart to a wallet tracker, is a photograph of a decision that has already been made. The data is enormous and almost all of it is the crowd reacting. The informative part, a few hundred wallets' intent, is visible only at the instant it executes, and the people executing it are the ones selling to you a few minutes later. Add 60,000 launches a day, and the future 100× at minute one is indistinguishable from the 59,999 that die. The casino does not need to hide the cards because it deals them faster than anyone can read and analyze them. Conclusion After spending thousands of dollars in API credits, VPS costs, Claude credits, etc the goal was simple: find alpha - if it exists - in order to be able to monetize it. Instead, all we were able to prove is what we all have suspected all along - the meme coin casino is almost entirely cabal driven. 🫡 From the depths — The White Whale 🐋
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Jeff Yanta retweeted
The Jeffy incinerator account has been setup on @flipcash. This account will exclusively burn Jeffy, raising the market floor for the community. To start, we're going to convert all fees generated by paid reaction in the official Jeffy group chats to Jeffy, then burn it. flipcash.com/incinerator
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And just like that we have the first set of paid reactions flowing through the @flipcash server. You won't find this feature on any other messenger. The ability to boost your reactions with money is coming soon!
A new intent type was just introduced to @flipcash that enables an atomic payment to multiple recipients. This is going to enable upcoming features like paid reactions, sends to multiple members of a group chat, and much more!
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Here's a teaser from my CLI client:
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A new intent type was just introduced to @flipcash that enables an atomic payment to multiple recipients. This is going to enable upcoming features like paid reactions, sends to multiple members of a group chat, and much more!
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We're back online!
We're performing some maintenance on @flipcash and will be down for a short period of time.
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We're performing some maintenance on @flipcash and will be down for a short period of time.
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New @flipcash server changes deployed out that expands on a community profile. The community leader and top public groups by balance are now being surfaced! Check it out: app.flipcash.com/token/54ggc…
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Please note: - Many early currencies do not currently have a community leader, since they were created before self-serve became available. - A public group must have at least 10 holders before it's total balance is made public.
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