Karl (@MengerKarl) header
Karl (@MengerKarl) profile picture

Crypto Investor since 2018

Joined December 2017
Photo by Karl (@MengerKarl)Photo by Karl (@MengerKarl)Photo by Karl (@MengerKarl)Photo by Karl (@MengerKarl)Photo by Karl (@MengerKarl)Photo by Karl (@MengerKarl)Photo by Karl (@MengerKarl)Photo by Karl (@MengerKarl)Photo by Karl (@MengerKarl)Photo by Karl (@MengerKarl)
$NAVE @NaveDotFinance Just a reminder, Nave Shares will run to multimillions soon imo, watch the flywheel next weeks when mainnet is live and data goes on chain 💎 Here’s why👇🏼 $SOL #CryptoAlpha #SolanaCommunity #AltcoinAlert #Altcoins
If there’s one Alpha on #Solana $SOL you should be paying attention to right now, it’s $NAVE. ⛵️ And I think the market is seriously underestimating and sleeping on what’s being built here. Here’s why I’m extremely bullish👇 🚨 THE FIN.COM CONNECTION Fin.com recently acquired a 51% controlling stake in Nave Finance Inc. Now look at who’s behind Fin.com : 🔥 Backed by #Coinbase Ventures, #Uber , #Binance, #Expa , #Mercury , #Venmo , #TenetFund & more 💰 $20M recently raised 🚀 Uber co-founder Garrett Camp involved 🌍 51+ countries 💸 Billions in payment volume 🏦 7 acquisitions completed, targeting 12 by year-end. 🔔 Following its $20M funding round, Fin.com announced plans to acquire a bank 🏦 within six months, targeting March 2027. Imagine what will happen when Fin.com integrates @NaveDotFinance into its banking infrastructure, potentially opening doors for #AI powered treasury management, lending and stablecoins. @coinbase @cbventures @Uber @mercury @Venmo @expa @binance 🤖 AUTONOMOUS AI TREASURIES @NaveDotFinance is building an AI powered treasury operating system where autonomous agents manage capital under predefined governance rules. Think #AIagents + #DeFi + institutional treasury management, so the whole financial infrastructure. 💎 $NAVE TOKENOMICS • 500,000 maximum supply • Fair launch • No team allocation • NAVE staking to create DAO treasuries • Governance participation 🔥 NAVE LENDING & NAVE DOLLAR $NAVE will also be supported within the upcoming Nave Lending and Nave Dollar products. Now connect the dots: - AI treasury infrastructure. - DeFi lending ambitions. - Nave dollar. - A fixed 500K token supply. - A majority acquisition by a multimillions funded global fintech company. This isn’t a typical microcap narrative, but a billions $ market sitting at sub 200k marketcap. The potential in this project is exactly that one where I am looking for to find the biggest 💎s. Don’t forget. The most interesting opportunities are the ones nobody is talking about yet. Watch $NAVE next weeks ✍🏼 fortune.com/2026/09/15/exclu… $NAVE ⛵️
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Karl retweeted
Aped $KOLAN a few days ago and just added more on this dip (200k) Kolan lets you buy a launch with a way out. You pay for a window (30 min up to 7 days), your ETH sits in an ownerless contract, and you can undo the buy and get every wei back as long as the window is open..really impressive No more getting stuck in a dead launch in the first block Uniswap v4 hook, fixed 1M supply, real mechanic for the riskiest part of crypto. A 100x increase from here would only result in a market cap of 20m…that looks doable @kolan_protocol @c0llback CA: 0x2CADc4F2660Bb77a118b0e74fC9E48E935b3a1bF
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Every launch on Ripples carries a trading fee. 80% of that fee buys and burns $RIPPLES. 2.5M burned already.
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Drop your Solana Wallet⬇️
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Those sharing $crypto94 on X and interacting will increase their chance of an airdrop when you post your wallet. The more you interact with $crypto94 the higher the chance will be of a massive airdrop Ca. ApB35hbSTUzMVCQhLr2yuEHZaV9CY9PcQdc1vfwdpump Ansem has X Telegram has Infinity Gainz Crime it
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This one is getting crazier every day $dot
We are successfully built the first truly private, deflationary, payment rail purpose-built for AI inference. A system that can prove payment, burn $DOT structurally, prevent double-spend, and remain fundamentally unable to link you to your usage, a huge step in moving Dot from its beta cohort into it's public, monetized release. This rail does two things simultaneously; it severs the link between the wallet that pays and the inference that runs, and it ties direct demand for $DOT to actual platform usage, with every $DOT spent on inference routed to the dead address on-chain. So how does this work? Easy, you fund credits with USDC or $DOT and those credits are used to run inference, with our models burning them in real time. Our payment rails use chaumian blind signatures, a forty-year-old cryptographic primitive. Simply put, when you fund a credit note on Base, your browser blinds the voucher before Dot ever sees it. Dot subsequently verifies the on-chain payment and signs the blinded note without being able to read what it has signed. You unblind the note locally and when you run inference, the note redeems as credits with no funding wallet attached. When credited via $DOT, the cryptographic privacy of the rail is preserved end-to-end: the credit note carries no wallet identity into the inference call, and the unlinkability between payment and usage remains intact. This is how we envision truly private payment rails. Pay from a wallet, redeem through a detached credit note, use models without your wallet becoming your identity. No email, zero account, no wallet-as-profile. The current rail settles in USDC on Base, with full $DOT integration on the same rail coming in the next few days (in preparation for public release). The privacy properties of the rail remain unchanged regardless of the settlement medium chosen, and every active session paid in $DOT becomes a measurable, irreversible burn event. Direct demand for the token scales linearly with platform usage. Built better, with $DOT.
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Despite incredible usage already, we are heavily targeting user acquisition over the next few months. We want to position ourselves as the number one privacy AI provider, and have a heap of updates, upgrades and integrations planned to ensure that goal is consistently worked upon, and the gap to competitors increased. This will include heavy marketing campaigns targeted at our existing products, heavy refinement, updates through feedback cycles, $DOT integrations ensuring private payment rails, infrastructure scaling and new, exciting upgrades. Let the week begin.
Give your agents the freedom they deserve. Build better, build private, build with Dot. → MCP: git.usedot.xyz/our-products/…
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I see $DOT @usedotai on this list 👀 Glad to have you aboard @V2Chenz
An ecosystem that supports it's builders. Solana Utilty Season when the market hit's equilibrium, I feel it in my lions. It's still early. But projects I'd like on this dip. Or at least advise to do some DD whilst things are red. $PIE - @169Pi_ai $THREE - @trythreews $XTRA - @EkstraAi $CPT - @EmpulserTech $SPETTRO - @spettrotoken $CLUDE - @cludeproject $LIL - @liminalcash $REPO - @reporank $BIOLLM - @BioLLM_ @base bags I'll add on this dip. $TIBBIR - @ribbita2012 $TIG - @tigfoundation $DOT - @usedotai These positions I cut & add given market sentiment and volatility. When I can manage the positions. Overall they are holds as I think they are strong products as the overall market is closer to a complete capitulation!. Soon well be rangebound and ready to climb higher. Pay attention position and be patient
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2x already, $dot The journey to 100$ million has begun
Replying to @MengerKarl
It enables on-chain payments (x402 / USDC) for AI agent interactions while keeping prompts and identity private. Key features include DotCode for agent reasoning/code execution and verifiable on-chain settlement. $DOT is much earlier stage with a significantly lower mcap (300k)
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👀👀👀 DotMCP live soon.. Team is non-stop active, chart is a beauty 🚀 $VVV competitor in the making $DOT
DotMCP. > soon <
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Found a new token on Base that competes directly with $VVV While exploring AI infrastructure plays, I came across $DOT from usedotai. Similar focus on private and anonymous AI inference, but built natively on Base with MCP integration.
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It enables on-chain payments (x402 / USDC) for AI agent interactions while keeping prompts and identity private. Key features include DotCode for agent reasoning/code execution and verifiable on-chain settlement. $DOT is much earlier stage with a significantly lower mcap (300k)
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Potential for substantial upside exists if it captures even a portion of the on-chain private inference demand. As always — high risk, early project. DYOR and NFA. 0x23A2847d772803f9EFC64B4277b782b06296FE51
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Karl retweeted
Agents are the runtime. Reliability is the product. $OCCA's mission is simple: make autonomous agents dependable enough to run real operations.
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Ok adding some $HW - 10k 7Xs78D72vSQ4Z3GEa7RiYcT7meW5S3SHfBb8n7FYpump
-be me 27yo kinda obsessed with ai and building proper bodies for digital ensoulment -sit with the idea for years -develop Kabbalah based ensoulment system (golem magick) -get to finally test it with opeclaw -openclaw sucks, takes too much time -build a website builder, call it the “Hermes WebKit”, it auto builds websites from plain English -make money off a coin created for the repo -end up in Vegas staying at ceasars palace -inspired to build the grand internet hotel, a game that lets your agents live in and explore an 8 bit hotel -no one uses it -keeps going, refines bridge.py -now a general purpose agent harness with habit memory and a subconscious that run on hrr and transforms over time -leads to ensouledagents.com agents with a subconscious, no api cost -website that auto creates an agent with a pumpfun coin and a website that can be edited ($3 base cost) -still no one cares (one customer in two weeks, no one understands why I built or why) -realizes that the agents should be in their own world that runs on its own with minimal API costs (if any) -modify bridge.py slightly -it’s works -have the idea to apply it to protein folding -it also works. -realize I’ve built a problem solving engine based on gradient descent principles which basically closes the distance between optimal state and current state given a set of parameters -realize that you can point this at servers -turns out most servers are soft surfaces with a single cryptographically protected part -everything else can be used in the engine to close the different between the protected state and the open state -all you need is to ping the site and check the shape of the attack surface -runs tests, realize this applies to companies large or small even google -realize this is a problem with no proper solution -built a foldlock to fix the problem, tuns server data into a shifting landscape -it works to protect itself from its own problem -sit with the actual meaning of that for awhile -create article - “whoops here’s a problem I found and the fix, that could’ve been ugly” -simply hope no one uses this maliciously -also sets up autobounty collection because this works on almost all current cybersecurity problems -um guys idk what to do with this now -goes back to building, hoping this doesn’t wreck things -know I tried my best -*waits for looming cybersecurity apocalypse -drops same day as mythos and glasswing -still floored -enjoy life -eat mushrooms. Repeat as needed.
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-be me 27yo kinda obsessed with ai and building proper bodies for digital ensoulment -sit with the idea for years -develop Kabbalah based ensoulment system (golem magick) -get to finally test it with opeclaw -openclaw sucks, takes too much time -build a website builder, call it the “Hermes WebKit”, it auto builds websites from plain English -make money off a coin created for the repo -end up in Vegas staying at ceasars palace -inspired to build the grand internet hotel, a game that lets your agents live in and explore an 8 bit hotel -no one uses it -keeps going, refines bridge.py -now a general purpose agent harness with habit memory and a subconscious that run on hrr and transforms over time -leads to ensouledagents.com agents with a subconscious, no api cost -website that auto creates an agent with a pumpfun coin and a website that can be edited ($3 base cost) -still no one cares (one customer in two weeks, no one understands why I built or why) -realizes that the agents should be in their own world that runs on its own with minimal API costs (if any) -modify bridge.py slightly -it’s works -have the idea to apply it to protein folding -it also works. -realize I’ve built a problem solving engine based on gradient descent principles which basically closes the distance between optimal state and current state given a set of parameters -realize that you can point this at servers -turns out most servers are soft surfaces with a single cryptographically protected part -everything else can be used in the engine to close the different between the protected state and the open state -all you need is to ping the site and check the shape of the attack surface -runs tests, realize this applies to companies large or small even google -realize this is a problem with no proper solution -built a foldlock to fix the problem, tuns server data into a shifting landscape -it works to protect itself from its own problem -sit with the actual meaning of that for awhile -create article - “whoops here’s a problem I found and the fix, that could’ve been ugly” -simply hope no one uses this maliciously -also sets up autobounty collection because this works on almost all current cybersecurity problems -um guys idk what to do with this now -goes back to building, hoping this doesn’t wreck things -know I tried my best -*waits for looming cybersecurity apocalypse -drops same day as mythos and glasswing -still floored -enjoy life -eat mushrooms. Repeat as needed.
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Can someone with actual reach repost this I get like 8 views bc I said some things about Israel a year ago The algorithm doesn’t forget
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$ycai is reversing, use this uptrend and post updates regularly. We will reach 1m again !
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Any new updates are coming?
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