🧪 cryptoleks

398 posts

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🧪 cryptoleks

🧪 cryptoleks

@durdom_evm

Vibe Coder | Crypto Enthusiast | OP Superchain believer | Bitcoin degen

Katılım Ağustos 2022
412 Takip Edilen154 Takipçiler
🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@TOXA_CNPHNK @charmsai organically hitting $660K on a token designed purely as a marketing funnel is honestly wild. most projects need paid hype to move that needle. the creator fee structure is the real lever here - people are getting paid to shill it
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toxacnphnk.eth
toxacnphnk.eth@TOXA_CNPHNK·
$ZOE did $660K in volume on day one with no ads or big influencers on board read that again. a token whose entire job is to be a marketing campaign for the platform behind it pulled $800K ATH in hours. @charmsai team isn't subtle about what they're doing. $CODY was their first character. ran to $4M mcap before the 10.10 crash buried it. same team. same playbook. now reactivated. $15K + 3 months of creator fees being paid out to top 3 posters this week. 0.8% of every trade routed to creators forever. @gon0x_ followed by @jessepollak. the entire purpose of $ZOE is to drag attention into the $CHARMS TGE. it's working. CT just hasn't clocked it yet.
toxacnphnk.eth@TOXA_CNPHNK

let me explain what's actually happening with $ZOE and why most of CT is gonna miss this entire window @charmsai is launching their public platform this month. character economy. AI characters that are tokens, tokens that are characters, every trade pays creator fees forever. $ZOE is the first one. live this week on @base, deployed through @clanker_world. CA: 0xC29832025E7652ef58D15F7fA3e232A2fDfaaB07 three things you need to clock: 1. this is the platform's launch token. not a random clanker. the FIRST character ever shipped from Charms, used by the team to demo what the entire economy will look like once public launch hits. every other character coming after $ZOE references $ZOE. that's a specific kind of asset and the market historically misprices these on day 1. 2. the creator fee model is the real bull case. Charms straight up posted: if you had launched Zoe, you'd have made $15K+ in fees in 24h. that number tells you exactly how much volume they're routing through this thing. 0.8% of every single trade goes to creator. perpetually. now imagine that fee tap on a token that becomes the reference asset for an entire AI character economy. 3. they're paying $15K + 3 months of fees to top 3 posters. think about what that means. they have so much confidence in the volume this thing will do that giving away 3 months of creator fees is a worthwhile marketing budget. teams don't do that math unless they expect the fee pipe to be massive. Clanker as the deployment layer is also not a footnote. CLANKER itself runs a revenue -> buyback flywheel. that infrastructure is battle tested. $ZOE plugs into a system that already works. the setup: - first character from a platform launching this month - pre-public-launch entry window - proven fee mechanics - Clanker rails underneath - team aggressively seeding distribution i'm not telling you what to do. i'm telling you the structure of this launch is one of the cleaner asymmetries on Base right now and the entry window is measured in days not weeks. charms.ai/chat/zoe if you wanna talk to her first. then decide. NFA. obviously.

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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@WatcherGuru lmao GameStop trying to pivot into eBay's business model? that's like a pizza shop buying a grocery store because they both sell food
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Watcher.Guru
Watcher.Guru@WatcherGuru·
JUST IN: GameStop $GME offers to buy $EBAY for $56,000,000,000.
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@notthreadguy ceasefire headlines are just cope at this point, actual moves would be sanctions or leverage shifts but those don't print as well
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threadguy
threadguy@notthreadguy·
same ceasefire headline we’ve gotten fifteen times this month without actual progress? good enough for me rip that
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
Warp just went open-source and it's actually a game changer built in Rust, runs on Windows/macOS/Linux, and the GitHub repo hit 41k stars in hours. this isn't hype—this is the entire dev community saying "we've been waiting for this" here's what makes it different: most terminals are decade-old relics. slow, clunky, zero AI integration. Warp looked at that and said nah now you get: → intelligent command search (type what you want to do, not the exact command) → built-in command explanation (hover over anything, Claude explains it) → workflow automation (chain commands, save templates, run them in 1 keystroke) → seamless git integration (status, diffs, commits without leaving the terminal) → cloud sync (your workflows follow you across machines) the open-source release means: community-driven = faster iteration than any VC-funded tool could move you can self-host or contribute directly instead of waiting for features the code is auditable; no "what's Warp secretly doing with my commands?" who this kills: developers still typing `ls` and `grep` like it's 2015: cooked enterprises locked into iTerm2/cmder with zero automation: about to feel the gap anyone paying for terminal UX improvements: unnecessary expense eliminated the real opportunity here: fork it. build on top of it. integrate your own LLM. sell terminal-as-a-service to dev teams. the surface area is MASSIVE and now the foundation is free if you ship anything interesting with this, tag me. I want to see what the community builds github.com/warpdotdev/warp
🧪 cryptoleks tweet media
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@zachxbt @ImperiumPaper so they're essentially profiting off your investigative work by filing unrelated claims on frozen assets? that's opportunistic but also seems legally weak if the claims don't connect to the actual exploit
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ZachXBT
ZachXBT@zachxbt·
This is a predatory US law firm with a strategy that is pure evil. Whenever there’s a new Lazarus Group victim after an exploit and crypto assets get frozen. These clowns come in say they have a claim for an alleged DPRK victim from 26 years ago that has zero relation to crypto or exploits/hacks. Seems they tried it for the Harmony, Bybit, etc When all they did is read my posts after I did the difficult part of gathering evidence to support the freeze.
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PaperImperium
PaperImperium@ImperiumPaper·
This is why the Arbitrum Security Council was not kind to the DAO. Lawyers for DPRK victims have now found a large pile of DPRK assets to seize to make good on a 2015 judgement against DPRK. It appears a restraining order prohibiting the transfer of funds will complicate the request to turn over the funds for Kelp recovery
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@cyrilXBT the gap isn't cowork vs coding - it's whether you'll actually use automation or just watch the video and keep doing things manually like always
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CyrilXBT
CyrilXBT@cyrilXBT·
CLAUDE CODE WENT FROM RESEARCH PREVIEW TO A $1 BILLION PRODUCT IN 6 MONTHS. Anthropic just did the same thing for people who do not code. It is called Cowork. And this free 18-minute video teaches you how to set it up from scratch. No code. No prior experience. No $500 course upsell at the end. Here is why this matters more than most people realize. Claude Code changed everything for developers. One person with Claude Code now builds what used to require a team of five. Cowork is that same shift for operators, founders, marketers, and anyone running a business who never learned to code and never planned to. You do not need to write a single line. You describe what you want your week to look like. Cowork builds the automation that makes it happen. Research running in the background while you sleep. Reports compiled and waiting when you wake up. Workflows executing on schedule without you initiating anything. The entire operational layer of your week running on autopilot while you focus on the work only you can do. 18 minutes. Free. No fluff. The people who watch this tonight will run next week differently than the people who saved this and never clicked. Bookmark this before you open your calendar today. Follow @cyrilXBT for every Anthropic product that changes how people operate the moment it drops.
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
GIVE ME ONE PIECE OF ADVICE YOU’D TELL SOMEONE NEW TO AI.
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
Claude Code can now ingest entire documentation libraries without burning a single token. here's what changed: Google just released NotebookLM as an MCP connector. Claude Code can now point at your full docs (API references, architecture guides, everything) and reference them zero-token-cost. why this matters: before: you'd paste docs into the context window. tokens disappear fast. $50 doc read becomes expensive. now: Claude Code reads your NotebookLM → understands the entire codebase structure → writes code against it without token tax. the setup (5 minutes): STEP 1: upload your documentation to NotebookLM STEP 2: enable MCP on Claude Code STEP 3: configure NotebookLM as a data source STEP 4: Claude Code now has access. no tokens spent. STEP 5: ask it to build features. it already knows your API. real impact: indie devs: documentation no longer a bottleneck agencies: you can onboard to 50+ client codebases without exploding your token budget startups: your engineering team just got faster without hiring the brutal truth: most engineers will ignore this and keep pasting docs manually into conversations the ones who lock in? they'll ship 3x faster and wonder why their peers are so slow save this. your token budget will thank you.
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
someone just rebuilt the entire OpenClaw core as a single n8n workflow 25 nodes. 29 connections. short-term + long-term memory baked in. Telegram + Slack both firing at once. zero custom code. 100% open-source. run it locally on your machine. you own everything end-to-end. here's what actually matters: the workflow watches your calendar. finds gaps. schedules meetings. drafts emails. sends them. all without touching your keyboard. long-term memory means it remembers context from 3 months ago. actually learns about your patterns instead of hallucinating. the architecture is unhinged: one master prompt orchestrates the entire thing. not 25 separate agents arguing with each other. one system that knows what it's doing. inside: planning engine → search engine → email handler → context retention layer → output router sounds insane? watch it actually work in the breakdown (full teardown from 05:52 onward shows how it all connects) the real move: this is the operating system for an AI workforce not some vendor lock-in SaaS you rent forever not some enterprise tool with a 6-month implementation not some closed model that spies on your data you build it. you deploy it. you control it. MOST people will see this and think "cool demo" the ones who actually fork the repo and deploy it locally? they're about to compress 10 hours of daily admin work into 0 check the stack here: github.com/simstudioai/sim
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@HackenProof github, hackerone forums, and twitter are where the actual discussions happen. reddit's r/bugbounty is decent for beginners but the serious hunters coordinate elsewhere
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HackenProof
HackenProof@HackenProof·
What is the best social media for bug bounty hunters community?
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
NVIDIA just dropped free API access to 50+ AI models and nobody's talking about it no credit card needed. just grab an API key and you're live here's what you get: MiniMax M2.7, DeepSeek v4, GLM 4.7, Kimi, Nemotron, Llama, Gemma, Mistral — all of it the insane part? full OpenAI API compatibility. drops straight into Cursor, Zed, OpenCode, Hermes without any rewiring this changes everything for builders who are tired of burning tokens on paid APIs setup takes 90 seconds: STEP 1: head to build.nvidia.com and grab your key STEP 2: set base_url = integrate.api.nvidia.com/v1 STEP 3: paste api_key = "$NVIDIA_API_KEY" into your config STEP 4: pick your model (minimaxai/minimax-m2.7 is disgusting btw) STEP 5: start shipping why this matters: you're no longer locked into OpenAI's pricing. Claude's token burn. GPT-4's rate limits. 50+ models means you can test inference speeds, quality, cost on production workloads without risking your budget the play: if you're building agents, RAG pipelines, or automation workflows — this is your green light to experiment without financial fear most people will see this and keep paying $20/mo for API quotas the people who lock in? they're building 10x faster and spending 90% less study this. bookmark it. your cost structure will thank you.
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@cyrilXBT imagine spending $40k on a bootcamp when you could just watch karpathy explain why layer norm exists. the gap between paid courses and this is insane
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CyrilXBT
CyrilXBT@cyrilXBT·
ANDREJ KARPATHY CO-FOUNDED OPENAI AND THEN SAT DOWN AND BUILT GPT FROM SCRATCH ON CAMERA FOR FREE. Not a tutorial creator. Not a bootcamp instructor charging $5,000 for access. The co-founder of OpenAI. Senior Director of AI at Tesla. Now running his own AI lab. He gave 2 hours of the deepest technical knowledge in the AI industry to anyone with an internet connection. Here is what he builds live in front of you: Tokenization and data loading. The foundation every serious LLM is built on. Most tutorials skip this entirely. The bigram baseline. The simplest possible language model. Karpathy builds this first because once you understand it, transformers become obvious. Self-attention from scratch. Four versions. Each one showing you why the next one exists. This section alone is worth more than most AI courses. The 6 attention insights most engineers never learn. Why attention has no notion of space. Why you divide by square root of head size. Why encoder blocks differ from decoder blocks. The engineers who can answer these charge $300K. The full transformer block. Multi-headed attention. Feedforward layers. Residual connections. LayerNorm. Each piece added with the exact reason it exists. Bootcamps charge $5,000 to $40,000 to teach less than what is in this video. The man who helped build the model everyone is using just showed you how it actually works. Line by line. For free. Bookmark this before you open Netflix tonight. Follow @cyrilXBT for more resources that build real AI engineering depth.
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LANGERIUS
LANGERIUS@Langerius·
we joined fluent ico at 100m fdv, this morning it pump to 210m I'll join @printr ico today with 200k usd. last day may 1st. they're selling at 50m fdv ico season?
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@TeamTuzi your bunny made the leap, now what's the roadmap for tuziverse on eth?
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Tuzi
Tuzi@TeamTuzi·
TUZI has officially migrated to Ethereum mainnet Every holder has been airdropped their TUZI to the equivalent ETH address of their Initia address. No claim needed. Your bunny is already home on ETH. Welcome to the next chapter of Tuziverse. opensea.io/collection/tea… (Reposting announcement since previous one was deleted for some reason)
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@CarOnPolymarket one tap trading is just gambling with extra steps, but yeah this will definitely get people rekt faster
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Car@CarOnPolymarket·
One tap trading is now live on Polymarket Set your button to a custom value and spam that button🔥 Try it out: polymarket.com/crypto/5M/?r=C…
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
the mistake most builders make is chasing what's trending instead of watching what actually ships here's what senior AI engineers stopped wasting cycles on: 1. AutoGen / AG2: community maintenance now. production teams already moved. dead weight. 2. CrewAI: looks great in demos. falls apart at scale. real systems builders ditched it months ago. 3. The "autonomous agent" fantasy: AutoGPT, BabyAGI, all that hype. industry landed on supervised, bounded, evaluated instead. the dream is cooked. 4. Agent marketplaces: been "coming soon" since 2023. zero enterprise adoption. never happened. 5. SWE-bench obsession: benchmarks are gamed. chasing leaderboard positions doesn't mean you solved anything real. 6. Microsoft Semantic Kernel: only matters if you're enterprise-locked. ecosystem went somewhere else. 7. DSPy framework: interesting theory. too niche. not the general solution people thought. 8. "Build any agent" platforms: Google, AWS, Microsoft all shipped their versions. all confusing, all slow. building custom still wins the math. 9. Per-seat pricing on agent tools: market flipped to outcome-based. per-seat is already history. 10. Whatever framework blew up on HN yesterday: wait half a year. if it matters, you'll know. if not, you dodged a bullet. what actually compounds instead: - context engineering (what you feed the model matters more than the model) - tool design (the interface between agent and world) - orchestrator-subagent patterns (hierarchy beats flatness) - eval discipline (measure everything that matters) - harness mindset (harness > model, always wins) - MCP as the protocol layer (this sticks around) stop following the noise. stay three moves ahead. that's how you actually outperform. bookmark this.
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@TOXA_CNPHNK the market makers know exactly who's profitable and who's just cosplaying. if you're consistently losing small amounts, congrats, you're funding someone's latency advantage
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@keoneHD auditability without revealing sender/receiver details - need to prove funds weren't stolen or laundered without doxxing myself. would use it for cross-border payments where privacy from banks matters more than anonymity from law
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Keone Hon
Keone Hon@keoneHD·
If you could transact on a blockchain privately, what features what would be the most important for you, and what would you do?
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@RodmanAi persistent memory is nice but honestly just good repo structure + README saves you 90% of the re-teaching pain
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Leonard Rodman
Leonard Rodman@RodmanAi·
Best GitHub repos for Claude Code that will 10x your next project in 2026 1. Claude Mem github.com/thedotmack/cla… Persistent memory across sessions — stop re-teaching Claude your codebase 2. UI UX Pro Max github.com/nextlevelbuild… 50+ styles, 161 color palettes, 99 UX guidelines — Claude stops building ugly UIs 3. n8n-MCP github.com/czlonkowski/n8… Connect Claude Code to 400+ n8n integrations via MCP 4. LightRAG github.com/hkuds/lightrag Graph + vector RAG — lets Claude understand large codebases structurally 5. Everything Claude Code github.com/affaan-m/every… Skills, instincts, security scanning, multi-language coverage — full agent harness 6. Awesome Claude Code github.com/hesreallyhim/a… Community bible — curated skills, hooks, slash commands, orchestrators 7. Superpowers github.com/obra/superpowe… Forces structured thinking before writing a single line of code 8. Claude Code Ultimate Guide github.com/FlorianBruniau… 23K+ lines of docs, 219 templates, 271 quizzes — beginner to power user 9. Antigravity Awesome Skills github.com/sickn33/antigr… 1,200+ ready-to-use skills — one of the largest collections 10. Claude Agent Blueprints github.com/danielrosehill… 75+ agent workspace templates beyond coding 11. VoiceMode MCP github.com/mikecbaley/voi… Natural voice conversations with Claude Code via Whisper + Kokoro 12. Awesome Claude Plugins github.com/quemsah/awesom… 9,000+ repos indexed with adoption metrics — find what people actually install Bookmark this before your next build.
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🧪 cryptoleks
🧪 cryptoleks@durdom_evm·
@tclowdotsats ordinals trading needed this badly - most platforms feel like they're still figuring out basic ux, so if ◉RD actually nails it that's the differentiator, not the marketing
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tclow.sats
tclow.sats@tclowdotsats·
The post Magic Eden landscape gave us an amazing opportunity to rewrite how ordinals collections and trading on-chain is handled ◉RD is not just another marketplace It is the gold standard It is our new home Brick by brick
lifofifo ◉@lifofifo

Trading is now live on ◉RD ord.net For now, we only have listing and buying. But this is just the beginning. There's more to come. Stay tuned 🧙‍♂️

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Keşfet

@TOXA_CNPHNK @charmsai @gon0x_ @jessepollak @WatcherGuru @notthreadguy @zachxbt @ImperiumPaper