Focus on the journey stop chasing the destination & buy 3. Crypto class of 2017. AI, Web3, Bitcoin, Ordinals: “whoever has the most bots wins” - Shawnff
Nashville, TN
Joined April 2009
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Shawnuff retweeted
Jev + TradingView is the most INSANE trading setup ever built for FREE
i plugged TradingView into my Jev stack and now my 24/7 trading bot turns real-time live chart data into a calibrated buy or sell in JUST 81 milliseconds
it's like the BEST chart data in the world feeding the FASTEST decision model in the world
with this open source repo we get -
> PREMIUM indicators in
> a typed AI decision out
> AND zero agent hallucination
here is how you set it up for completely FREE:
1. clone the TradingView API repo (open-sourced on GitHub), one npm install gets you real time feeds, premium indicators and replay mode without a paid account
2. pull the live indicators into one compact state snapshot, RSI, MACD, Ichimoku, Supertrend, order flow, all in a single numeric object under 400 tokens
3. send that snapshot to Jev as a battery of typed questions, regime, direction, setup quality, risk, all scored in parallel in one call
4. Jev returns calibrated probabilities in 81 milliseconds, not text, not a guess, a typed buy sell or hold your code acts on directly
5. gate every trade on confidence, RLCD training makes the probability real so you Kelly size straight from the model output, nothing fires below your threshold
6. run it on replay mode first, free and unlimited across any timeframe, so you watch the engine decide on years of premium data before risking a cent
7. telegram alerts fire the chart snapshot, the Jev confidence score, direction, and the Kelly sized position the instant a setup lands
the EXACT system i am running with JEV is in the article below:
Fourth test.
A paid indicator subscription at a significant price tier.
Primary trigger: the 1-bar swing top break.
Does it predict the next move better than randomly chosen bars?
264 datasets. Crypto and equities. 1-minute through 1-week.
0 of 264 under the harness that produced the results.
1 of 264 under the code exactly as frozen.
That single hit is what chance looks like.
20,523 exploratory cells produced 107 candidates, about a fifth of what chance should print. Nothing repeats across names.
Weekly looks suggestive. Underpowered. No verdict.
This isn’t “markets are random.” It’s “this trigger isn’t better than random.”
Mercury: shelved. TVAI: invalidated. Assay: still sealed.
This one: no.
Primary question is closed. A scoped follow-up is running overnight. If it changes the record, I’ll publish that too.
If you have a model you think survives a test that is allowed to say no, send it. I'm up for finding a model that prints.
Shawnuff retweeted
I spent my first year on a London trading desk confusing a view with an edge.
Most self-directed investors are making the same mistake today.
You cannot learn to read a market in a day. You can decide the game you are playing.
I spent 100+ hours building a forecasting system.
It's been live a handful of days.
Nobody has looked at the score. Not me. Not anyone. One guess per question. Forever. Blind to the crowd's price. Code sealed. Peeking isn't impossible. It's impossible to hide.
It might lose. Two earlier builds already said no.
Wrote it up before the envelope opens:
shawnuff1.substack.com/p/i-b…
History has a way of doing it…
It’s repeating.
In the 1870s, John Henry raced a steam-powered drill through solid rock.
He won — 14 feet to the machine’s 9 — then collapsed and died with the hammer still in his hand.
Today a human barely edges out a humanoid robot packing packages:
12,924 vs 12,732.
Same contest.
Same stakes.
Different century.
The machines aren’t coming.
They’re already here… and the gap is closing fast.
What does “winning” look like when the cost of competing keeps rising?
#AIInTheWorkplace #ArtificialIntelligence #Adaptability
Amazing to see this level of liquid-cooled density at work. This will absolutely power the next phase of the AI revolution. The future is here!"
The world’s first @nvidia Vera Rubin NVL72 server rack is here.
We’re thrilled to deliver the first working, liquid-cooled @Dell PowerEdge XE9812 for @CoreWeave.
Built for the next era of AI infrastructure. 🚀🤝
Shawnuff retweeted
There’s nothing out there quite like it.
IYKYK
satflow.com/ordinals/bitmapc…
What is Bitmap City Vol. 2?
TLDR:
My love letter to this space: A pioneering DMT Fine Art collection built on photography and blends imagery, bitmap blocks, Pantone color sets, and web3 slang into each piece of art.
Fine Art Viewer:
ord.io/77127899
Mint on @mscribeio:
mscribe.io/nats/dmt-bitmap%2…
The post's imagery shows the Fine Art progression from RAW photo to all three layers:
1⃣RAW Photography
2⃣Layer 1 (photography + bitmap)
3⃣Layer 1 + Layer 2 (Pantone Color)
4⃣Layer 1 + Layer 2 + Layer 3 (Web3 slang)
Longer Version:
Bitmap City Vol. 2 is an exploration of spaces: digital + physical, seeking to combine the highest form of human art—Fine Art—with the most advanced technology—Digital Matter Theory.
A few groundbreaking highlights
✅1st DMT collection built on photography
✅1st 10K DMT Fine Art collection
✅1st DMT w/Base art & Deployer on Block 9 450x rare sats
🟧History🟧
The idea for the DMT collection was conceived when I watched @TheBlockRunner’s Nov. 20, 2023 episode on DMT. Having successfully launched Bitmap City Vol. 1, I knew Vol. 2 needed to push things a step further and utilize DMT.
🟧Building🟧
✈️Low-altitude flights were booked on a prop plane to capture different topography—mainly looking for rural farmland, suburbs, and small cities.
🏙️Tickets to skyscrapers in NYC and London were secured to capture big cities from within their hearts.
🌆Thousands of Bitmaps were scoured and tested to see which would pair the best with the imagery.
🎨Countless hours were dedicated to painting and compiling the base imagery in photoshop.
📃A system for stacking complimentary layers was thought through and created.
🟧Art structure🟧
Each work of art is comprised of anywhere from one to three layers: bottom, middle, and top. With the help of the Merkle root as a randomizer, the layers are stacked on top of one another.
✅Layer 1 – Bottom Layer – Photography & Bitmap
✅Layer 2 – Middle Layer – Pantone Colors (Solids and Gradients)
✅Layer 3 – Top Layer – Web3 slang
🟧Artistic Vision🟧
Bitmap City Vol. 2 seeks to merge physical and digital worlds into a shard in-between space.
🟧Why DMT🟧
I needed to achieve the pristine quality of non-arbitrary data to represent the Digital space perfectly—something only available with Digital Matter Theory.
🟧Coding🟧
I joined with the @scarcedotcity team to help create the custom code from scratch—and we eventually chose the Merkle root to introduce maximum randomness into the collection.
🧡A thousand thanks to all those involved in this collection—from builders, to marketplace techs, to space's hosts, to community, to collectors—I appreciate you!!🧡
Shawnuff retweeted
Anthropic accidentally leaked their entire source code yesterday. What happened next is one of the most insane stories in tech history.
> Anthropic pushed a software update for Claude Code at 4AM.
> A debugging file was accidentally bundled inside it.
> That file contained 512,000 lines of their proprietary source code.
> A researcher named Chaofan Shou spotted it within minutes and posted the download link on X.
> 21 million people have seen the thread.
> The entire codebase was downloaded, copied and mirrored across GitHub before Anthropic's team had even woken up.
> Anthropic pulled the package and started firing DMCA takedowns at every repo hosting it.
> That's when a Korean developer named Sigrid Jin woke up at 4AM to his phone blowing up.
> He is the most active Claude Code user in the world with the Wall Street Journal reporting he personally used 25 billion tokens last year.
> His girlfriend was worried he'd get sued just for having the code on his machine.
> So he did what any engineer would do.
> He rewrote the entire thing in Python from scratch before sunrise.
> Called it claw-code and Pushed it to GitHub.
> A Python rewrite is a new creative work. DMCA can't touch it.
> The repo hit 30,000 stars faster than any repository in GitHub history.
> He wasn't satisfied. He started rewriting it again in Rust.
> It now has 49,000 stars and 56,000 forks.
> Someone mirrored the original to a decentralised platform with one message, "will never be taken down."
> The code is now permanent. Anthropic cannot get it back.
Anthropic built a system called Undercover Mode specifically to stop Claude from leaking internal secrets. Then they leaked their own source code themselves. You cannot make this up.
Shawnuff retweeted
🙌 Andrej Karpathy’s lab has received the first DGX Station GB300 -- a Dell Pro Max with GB300.
💚 We can't wait to see what you’ll create @karpathy!
🔗 blogs.nvidia.com/blog/gtc-20…
@DellTech
The Bot Log | Update 08
T-minus 60 hours until the Dell GB10 drops and we give our AI arbitrage swarm real vision capabilities. ⏳
You can’t migrate a messy, bloated agent to heavy enterprise silicon. So tonight we completely rebuilt the Maxbots_Enterprise architecture to cleanly separate Logic from State.
🧠 Right Brain: Persistent Memory & Rules
🛠️ Left Brain: Progressive Disclosure SOPs
Huge credit where it’s due — this clean split came straight from two killer videos:
• @simonscrapes and his “Claude Skills Like the 1%” framework (the exact Left Brain SOP structure we used)
• @openclaw (built by @steipete) and his “OpenClaw Memory Mistake” fix (the Right Brain persistent memory system)
Their blueprints turned a messy swarm into something hardware-ready. The hive is now structured.
Now we wait for the silicon. 👇
The Bot Log | Update 07
Straight grinding and it’s officially live. 🚀
Just shipped V1 of the Maxbots arbitrage engine.
✅ Headless, dual-tier snipers hunting ShopGoodwill & Grailed 24/7
✅ Fully remote-controlled via custom Telegram Command Center (live proof attached 👇)
✅ Ironclad O(1) memory banks — zero spam
✅ Prepped for the live eBay API data pipe
Mac Mini is now running the night shift. Next up: waking up the Dell Pro Max w/ GB10 to spin up local Vision-Language Models for real-time luxury authentication.
We are just getting started.
Resellers & builders — who else is running autonomous arbitrage bots right now? Drop your stack below 👇
#BuildInPublic #Python #AI #Maxbots #Arbitrage #Automation
The Bot Log | Update 06
8 hours of deep work, debugging, and testing... and it's officially live. 🚀
Stripped it down to exactly 122 lines of flawless Python to build a top 1% e-commerce arbitrage engine. It scans, does the math, and flags market anomalies in real-time. Completely autonomous.
I had never coded a single line two weeks ago and here we are talking to Grok & Gemini all night making magic happen.
Time to let the machines work the night shift. 🛠️📈
#buildinpublic #python #automation #ecommerce #arbitrage #reselling
The Bot Log | Update 05
After two weeks of grinding on my very first lines of code, tonight we finally shipped something highly productive: a fully automated local AI pipeline. 🤯
Turned a Mac Mini into a dedicated server for maxbots.ai — my local AI pipeline that turns raw Poshmark flips into auto-generated listings. It takes raw photos via a Telegram bot, natively strips backgrounds, and runs Llama 3.2 Vision locally to auto-generate Poshmark listings.
Phase 1: Automated Listing. (Done ✅)
Phase 2: Building an overnight AI sourcing agent. (Next 🏗️)
We are just getting started. Wait till the Dell Pro Max GB10 arrives next week!
Poshmark resellers — would you run this? Drop your setups below 👇
#Python #LocalLLM #Ollama #BuildInPublic #AIAutomation #Poshmark
