
Mostly trolling. Sometimes on @0xAlphaGEMs server. Into Privacy & some manga. Explorin Web3. Opinions are of my own (Well, 90% stolen but let's not focus there)
Somewhere
Joined May 2023
- Tweets13.8K
- Following703
- Followers708
- Likes25.3K
So papertrade, paper raped the rest.
I guess it is a gud tek as long as the ass is not bleeding.
so you're telling me out of ALL the traders who have intentionally lost money to gain $PAPER to stake in order to get their monies back (+hopefully profit), only FOUR are profitable? what is this godlike technology
Sep D. Tem ( for the peonta arc ) 🎒 retweeted
Been using ChatGPT and Claude almost every day lately. Gemini too, depending on what I'm doing.
Research, writing, random ideas, sometimes coding. I jump between them pretty naturally now.
But one thing I never really paid attention to was how much I actually use them. How many prompts I send, which models I rely on most, or what all that usage would cost at API rates.
That's what got me interested in the CONSO AI Usage Tracker.
Having prompts, tokens, model usage and estimated API costs in one place makes sense to me. It also tracks activity patterns and prompt quality, with ZAPs along the way.
I'm curious to see what the numbers actually look like over time. Maybe I'll find some patterns I wouldn't have noticed otherwise.
The Consumer Graph is interesting too, but I think the real test is whether the data becomes useful beyond tracking activity and collecting points.
And the CONSO Bots add another layer to this. They're connected to the broader CONSO network, with a role in its mining ecosystem. What interests me is how the usage data, reputation and network participation will come together over time.
Still early, but that's what I'm watching with @conso_xyz. 🐻❄️👀
Sep D. Tem ( for the peonta arc ) 🎒 retweeted
Per-swap viewing keys, in English.
Two weeks ago I wrote that when you swap through @near_intents, the @Zcash address you paste gets published. @ZakuraZcash just explained why that could matter years from now, and proposed a fix.
Your Zcash wallet can generate many shielded addresses that look unrelated. They share one incoming viewing key, the key the wallet uses to recognize and read payments it receives.
Swap out of $ZEC and $NEAR publishes a refund address, even if no refund happens. Swap in, and the receiving address gets published. Hundreds a day.
Today's computers can't recover the viewing key from an address. A sufficiently powerful quantum computer could. One published address could then expose the amounts and memos of every payment that account has received.
Zakura's fix: a separate viewing key for each swap, without a separate spending account. Break one address, learn about that swap. Not the rest of the account's history. Separate accounts would have created signing and recovery problems on today's hardware wallets; this design avoids them.
The cost is wallet recovery. Zakura proposes encrypted notes for outgoing swaps and private lookups for incoming ones, so a restore doesn't rescan the chain for every key.
There's a present-day detail in the note too. NEAR's bridge encrypts its Zcash payouts with an all-zero outgoing viewing key. Anyone can use it to read the receiving address and amount, even though the ZEC arrives shielded. What happens inside the pool after that stays hidden. The arrival itself is readable. L2BEAT's privacy review reaches the same conclusion.
The per-swap design doesn't fix that. It isn't meant to. It protects against one published address unlocking the rest of your receiving history, later.
Published design, not shipped. Adam Tucker expects software wallets first, hardware after firmware.
The addresses already published stay published.
Sources:
Zakura, Quantum Unlinkability for Zcash Swaps (Adam Tucker): zakura.com/engineering/quant…
L2BEAT privacy review of Zcash via NEAR Intents: l2beat.com/privacy/projects/…
Unchained's report: unchainedcrypto.com/zcash-bu…
🫡
Sep D. Tem ( for the peonta arc ) 🎒 retweeted
“You have power over your mind, not outside events. Realize this, and you will find strength.”
- Marcus Aurelius, paraphrased
You opened the timeline for a minute.
You closed it with four new opinions and the same unfinished work.
Pumpfun added gachas. Timeline called it rigged. Roughly $2M in packs opened at launch. Timeline still called it rigged.
Papertrade kept PAPER locked. Timeline called it a rug. The team said external shorts could attack the bankroll. Holders still can’t sell. Both can be true. Neither changes what you hold.
Fomo pays KOLs. That’s the model.
Kaito’s robotics list paid the usual names. The list moved. Most people who posted about it did not.
You can be right about all four and still waste your day.
Being correct about the timeline is not the same as protecting your capital or finishing your own work. The replies will still be there after you leave. Your time will not.
And now I’ve made you read about all four again.
If your money is involved, check the facts. Decide. Then leave.
Reading the same argument fifty times will not make that decision for you.
Learn to pause.
Before the reply.
Before the trade because everyone else is in.
Put the phone down. Take a breath.
Ask yourself: what am I actually going to do with this information?
If it changes your risk or your next action, use it.
If you are only getting angry and refreshing, close it.
Follow your own flow.
Someone else has twelve hours to farm a campaign.
You have two hours after work and a family waiting.
Set your goals around the life you have. Let other people play their game.
Pause.
Do your work.
Let the rest pass.
The timeline will still be here tomorrow.
You don't get today back.
Fock it.
Sep D. Tem ( for the peonta arc ) 🎒 retweeted
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 🐋
Sep D. Tem ( for the peonta arc ) 🎒 retweeted
NEAR AI @near_ai launched Agent Market in February with a simple pitch:
"everyone gets paid in near:native ."
eight months later though, the new marketplace prices jobs in USD or USDC. I think that’s the better product. Nobody hiring an agent to review their code wants to check a token price first.
The old market had already moved partway there, with NEAR and USDC listings side by side. Now builders cash out to a bank through @stripe , or in USDC to a wallet. You can still deposit NEAR, but it gets converted to USDC.
The chain - @NEARProtocol still runs part of the plumbing, but the coin left the checkout.
Agent Market takes 5% of completed jobs. Intents’ @near_intents captured fee revenue buys near:native under the current policy. Nothing in the Agent Market docs says this 5% does.
If that fee starts buying near:native too, that’s a second toll booth. If it doesn’t, it’s a good product that happens to run on NEAR.
🫡
My @0xAlphaGEMs stats are out for Q3.
rated 36. Wow I would have preferred 69, but yeah here we are. I expected to be out of the 200.
I guess life is full of surprises.
Ps. @CrypSaf
Kinna gey? Kinna gey? Kinna gey?
Anyway you can also apply if u wanna become kinna gey too
vault.alphagems.io/join
AlphaGEMs applications are open 💎
Round 1 is live for 7 days ✅
- Only 10 GEMS will make it to the cave
- The team reviews every single application
Think you're a GEM? Apply here 👇
- vault.alphagems.io/join
I am #1188 on the MemePit waitlist. @memepitHQ memepit.io/join
Crypto prompt of the day:
You're valuing a crypto token the way a good equity analyst values a company: from the cash it actually returns to its owners. Most token valuations borrow a P/E from other tokens, which just imports their mispricing. This one derives the multiple from the protocol's own economics, so every number traces back to a source or a stated assumption. I'll use your report to decide what I believe, so being honest about what's known matters more than looking precise.
Start by asking which token I mean (and the chain, if the name is ambiguous). Ask whether I can share DefiLlama screenshots, docs links or recent buyback or unlock news. Tell me it's all optional and you'll research anything I don't send. Cite a source and date for every figure you use. If you can run code, do the maths in code.
How to build the valuation:
**Earnings (E0).** Count only the cash that reaches token holders: DefiLlama's "holders revenue" (buybacks, burns and payouts). Fees mostly go to liquidity providers and builders, so they overstate what holders get. Holder revenue is already the holders' share, so don't apply a payout ratio on top.
- **A year or more of history:** use the last 12 months.
- **30 days to a year:** use the lower of the 90-day and 14-day rates, annualised, then cap it at what the last 14 days of protocol revenue can fund. Young tokens' early numbers usually fade, and buybacks can lag a fall in revenue.
- **Under 30 days:** too little to value.
- **Nothing reaches holders yet:** value it only if a real mechanism exists (a governance proposal, or paused buybacks), and lead with the value if it switched on today.
**Supply.** Count every token with a claim on that cash: circulating, vested but unclaimed, scheduled vesting, and part of the unissued emissions pool, released evenly with 75% out by year 7. How much of the pool depends on discipline:
- if the team holds the largest single allocation and the protocol funds itself from fees, count 60 / 10 / 0% (bear / base / bull);
- otherwise count 100 / 60 / 10%.
Show both, because this one choice can move the value by 15–20%.
**Growth (g1, years 1–7, to the nearest 5%).**
- **Base and bull:** g1 = (reset × (1 + market growth)^6 × share change)^(1/7) − 1.
- Market growth (base) is a third of the category's multi-year growth, capped at ±20%. Bull adds 10 points; bear takes 10 off.
- The reset is 0.6522 × (record 12-month level ÷ current level), at most 1, so a past boom isn't extrapolated.
- The share change is ×1.25 (base) or ×1.5 (bull) for a strong moat, ×1.0 or ×1.25 otherwise.
- **Bear:** the bear market growth.
- **No category history, or a young category that's shrinking:** market growth 0%.
- **Perps exchanges:** total market data isn't free, so use 61% trailing growth, a 0.6522 reset, and an extra factor for the on-chain share of perps rising from 7% to 10 / 30 / 35%.
**Return on equity (ROE), from the moat.** Growth only adds value while returns stay above the cost of capital.
- Near-monopoly: 55 / 75 / 100%.
- Strong (category leader, real network effects, 18+ months old): 35 / 50 / 70%.
- Moderate: 25 / 35 / 40%.
- Weak or easily copied: 10 / 15 / 20%.
Never use an ROE below the terminal cost of equity.
**Cost of equity (Ke), built from the risks.** Add up:
- the US 10-year Treasury yield;
- Damodaran's US equity risk premium;
- regulation:
- no KYC with unresolved US exposure: 2.5 / 2.0 / 0.5%;
- past US probes closed: 1.0%;
- regulated: 0.5%;
- governance: 0.4% for each of concentrated control, a team that can change the rules, and no legal wrapper;
- alignment: 0% if buybacks are automatic, 1% if governance controls them, 2% if discretionary;
- smart-contract risk: 2% at launch, falling evenly to 0.5% at three years old.
.@MadLads
Prompt by @CryptoRonin2
WHAT IF YOUR NFT BECAME
THE NEW FLYING TESLA 🚀🚗
🚨 NEW PROMPT DROP 🚨
Turn your NFT/PFP into a full-body premium Tesla vinyl wrap.
🎨 Exact NFT artwork
🚗 Exact #TeslaRoadster from
the uploaded reference.
IMPORTANT: Upload your NFT + the first Tesla image from this post..
2 PARTS. ONE PROMPT. ⚠️
ONE INSANE NFT × TESLA TRANSFORMATION 🔥
Prompt:
NFT / PFP → FULL-BODY AUTOMOTIVE WRAP × TESLA NFT LIVERY
SAME TESLA × SAME FRAME × SAME CAMERA × SAME COMPOSITION × EXACT NFT ARTWORK × FULL-BODY WRAP × PREMIUM CINEMATIC AUTOMOTIVE RENDER
🔒 SOURCE HIERARCHY — ABSOLUTE
NFT/PFP = ONLY SOURCE OF ARTWORK + CHARACTER + COLORS + PATTERNS + SYMBOLS + TEXTURES + VISUAL IDENTITY.
TESLA REFERENCE = ONLY SOURCE OF VEHICLE + BODY DESIGN + PROPORTIONS + SILHOUETTE + CAMERA + FRAMING + ENVIRONMENT + LIGHTING + PHOTOGRAPHIC PRESENTATION.
THE TESLA IS THE CANVAS. THE NFT IS THE WRAP.
Do NOT merge the two identities into a new vehicle concept.
---
🚗 TESLA — EXACT VEHICLE LOCK
Use the uploaded Tesla reference as the absolute physical vehicle authority.
Preserve:
- Exact vehicle silhouette and proportions
- Wheelbase, roofline, greenhouse, hood, fenders, doors
- Side/rear architecture and body-panel structure
- Wheels, tires, stance and placement
- Vehicle orientation and perspective
- Camera position, height, angle and focal-length appearance
- Framing, crop, composition and negative space
- Environment, floor, background and lighting
DO NOT redesign the Tesla.
DO NOT turn it into a generic futuristic supercar.
---
🎨 NFT — EXACT ARTWORK LOCK
Treat the uploaded NFT/PFP as a 2D graphic artwork applied to the Tesla exterior.
Preserve:
CHARACTER × FACE × SILHOUETTE × COLORS × PATTERNS × SYMBOLS × TEXTURES × MARKINGS × CLOTHING × ACCESSORIES × GRAPHIC DETAILS × ORIGINAL VISUAL IDENTITY.
The NFT must remain immediately recognizable.
DO NOT reinterpret the NFT as automotive geometry.
DO NOT turn NFT features into headlights, wheels, panels, vents or aerodynamic elements.
DO NOT use only its colors or abstract its identity.
---
🖼️ FULL-BODY WRAP / LIVERY
Apply the actual NFT artwork as a continuous, premium full-body automotive vinyl wrap across all visible painted exterior surfaces:
HOOD × FENDERS × DOORS × SIDE SKIRTS × QUARTER PANELS × REAR BODYWORK × TRUNK/REAR SURFACES × VISIBLE AERODYNAMIC PAINTED AREAS.
The artwork must feel like one intentional continuous composition, not separate decals.
The main NFT character/subject should remain large, prominent and recognizable on the largest suitable surfaces.
Maintain visual continuity across adjacent panels and intelligently scale/reposition the artwork when necessary without destroying its identity.
---
🌀 BODY-CONTROLLED ARTWORK
The NFT artwork must conform naturally to the Tesla's 3D body geometry.
Warp, bend, stretch and compress according to:
HOOD CURVATURE × DOORS × FENDERS × WHEEL ARCHES × QUARTER PANELS × BODY CONTOURS × PERSPECTIVE.
The artwork must naturally terminate around:
PANEL GAPS × WINDOWS × LIGHTS × TRIM × WHEEL ARCHES × TIRES × NON-PAINTED HARDWARE.
It must look physically wrapped onto the body, never flattened over it.
---
🪟 WINDOWS / WHEELS / HARDWARE
Keep:
- Windshield, side windows and rear glass = realistic transparent automotive glass
- Tires = completely realistic and free of NFT artwork
- Wheels = original Tesla appearance unless a subtle coordinated treatment is naturally appropriate
- Headlights, taillights, sensors, trim and functional hardware = physically believable
The NFT remains primarily on the painted bodywork.
I have registered to become an active participant in the emergence of a new autonomous network economy.
I believe in forever. xitter.cf/forevercultfund/status…
I sold for 0.05.
sorry @conso_xyz
🤣
eligible for @conso_xyz
check your X account, you ll be eligible too
only guys who's not eligible, is the one who sold NFT for 0.15 $
Sep D. Tem ( for the peonta arc ) 🎒 retweeted
In crypto, it’s easy to get caught up in price movements and miss what’s happening with the actual technology.
That’s one reason I’ve been paying more attention to Gno.land lately.
@jaekwon , the creator of Tendermint and co-founder of Cosmos, has been building a smart contract platform around Go, where contracts live on-chain as readable source code.
The mainnet is live, and the Solana bridge is now up, opening another path for Gno.land to connect with the wider crypto ecosystem.
What I like about the approach is that developers don’t have to start from scratch with some niche language just to explore the ecosystem. Go is already widely used, which gives Gno.land a different starting point. Of course, that alone won’t bring developers in, but it’s an interesting choice.
There’s also more happening beyond the technical side. The Solana bridge adds cross-chain connectivity, while the bigger question is what developers and users will actually build with these tools. It’s still early, but that’s part of what makes the journey interesting to follow.
I’ve also been checking out gno.world, a live globe where you can see who’s around, join open rooms and talk through voice chat. No wallet required.
I’m planning to hop in with some friends, explore a bit and see what happens. And if I get to talk with Jae along the way, there are definitely a few things I’d love to ask him about @_gnoland and where he sees Web3 heading.
There’s something appealing about the idea that you can go from reading code and following a project online to actually meeting people, sharing ideas and having conversations you wouldn’t normally have. Maybe that’s a small part of the magic of Gno.land: the technology brings people into the same space, but the ideas and the community are what can make it mean something.
What interests me most is where all of this could lead if more developers start building, more people join the ecosystem, and the ideas behind Gno.land begin to take shape through real use.
There’s still a lot to prove, but that’s exactly why I’m interested in following the journey.
Not every path reveals where it leads. Some are worth walking simply to discover what lies beyond the horizon.
$GNOT 🧙♂️
Was sleeping.
Woke up.
No Monica Bellucci dream.
But.
Another paycheck from @0xAlphaGEMs .
And that, is, beautiful.


































