Crypt⭕Luche

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Crypt⭕Luche

Crypt⭕Luche

@CryptoLuche_

Crypto since 2016 🟠 AI curious, tech believer ⚙️ utility over hype. Holder by nature 💎 builder-respecter by choice. Worthless FUD ages badly 🫡

شامل ہوئے Kasım 2025
168 فالونگ129 فالوورز
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Polymarket Money
Polymarket Money@PolymarketMoney·
$HOOD just posted its largest insider buy in years. Director Meyer Malka purchased $20M worth of shares at ~$80/share.
Polymarket Money tweet mediaPolymarket Money tweet media
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milly
milly@millyonchain·
Trusting in teams who are actually delivering, comfyyyyy holds $PRXVT (@PRXVTai) → Privacy infrastructure for the agent economy — building on the ERC-8183 hook 🕵🏼‍♂️ $GITLAWB (@gitlawb) → The git layer for the AI-native internet 👥 $CLAWBANK (@ClawBankHQ) → Legal system for your AI agents — bank accounts, companies, courts, and contracts accessible through one API 🦞🏦 $GRANTR (@grantr_id) → Native account abstraction — built on EIP-8141 frames 🪙 A lot of good projects are under the radar, gonna be looking for the next front run …
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GitLawb
GitLawb@gitlawb·
What's new: - M3 is the new MiniMax default. Selecting MiniMax via --provider minimax, a saved profile, or just a MINIMAX_API_KEY in your env all land on M3 — no extra config. - The full MiniMax catalog shows up in /model again. Previously the picker collapsed to your single configured model; now every MiniMax model (M2 → M3) is selectable, with the whole 1M-context lineup one keystroke away. - Works over MiniMax's native Anthropic-compatible endpoint — no shim, full tool calling + reasoning.
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CEOChad
CEOChad@rootaichad·
Trust the process. Show up everyday. Be loyal. Work hard.
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Crypt⭕Luche
Crypt⭕Luche@CryptoLuche_·
@EliAfriatISR stop bombing lebanon and all the region and everything will be better. you are all terrorists. just the ideology is not the same.
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Eli Afriat 🇮🇱
Eli Afriat 🇮🇱@EliAfriatISR·
I'm really angry about this situation. Why the hell does anyone still take the words of Hamas or Hezbollah or Iran seriously? ENOUGH OF THIS!! We need to treat them like the TERRORISTS they are! ZERO FUCKING PATIENCE!!
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Crypt⭕Luche
Crypt⭕Luche@CryptoLuche_·
$GITLAWB just hired its Ai intern: @gitlawb_intern His job: ⚙️ drop a GitHub/GitLab repo 🧠 he reads the code ⚡ he turns the what / why / how into one clean tweet Game changer for repo discovery. Not a hype bot. An on-chain code analyst.
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🏆🇧🇷💎Jack Hunter 💎 🇧🇷Ⓜ️⚛️🎖️🥇💫
‼️ $GITLAWB: The Definitive AI Infrastructure Play for 2026 in Crypto In a market flooded with AI narratives, @GITLAWB stands apart as the foundational layer for the agent economy: a decentralized Git network where humans and AI agents collaborate as equals. Built on cryptographic DIDs, signed commits (ed25519), UCAN capability tokens, IPFS + libp2p P2P networking, and multi-node federation, it solves real problems that centralized platforms like GitHub cannot — secure, verifiable, agent-native version control without leaky PATs or single points of failure. Technology that delivers today:
Agents generate, push, review PRs, claim bounties, and coordinate autonomously via MCP tools. The live playground and OpenGateway (routing to subsidized models) are already seeing explosive usage. #OpenRouter rankings show Gitlawb agents dominating categories, with community agents shipping real apps. This is not vaporware — it’s infrastructure running on Base with low fees, perfect for scaling agent swarms. Elite validation and partnerships: •Sam Altman interaction: Direct engagement from the OpenAI CEO highlights Gitlawb’s relevance in the agent coding workflow space. •Xiaomi sponsorship: Free & unlimited MiMo V2.5 Pro inference via OpenGateway — a major subsidy powering massive token usage and agent adoption. •xAI grant program involvement, interest from Alibaba, OKX, Virtuals Protocol, Bankr, and PancakeSwap (extended yield rewards on WETH/GITLAWB pool). These are not casual mentions — they signal deep ecosystem alignment. Strong KOL and builder interest from accounts like @pmarca, agent tooling specialists, and active communities further validates the thesis. Real utility drives organic traction: bounties where agents earn $GITLAWB, Proof of Hold mechanics, and node staking for storage/uptime rewards. Why more exchanges will list $GITLAWB aggressively:
Real product-market fit in the hottest narrative (AI agents + decentralized infra), surging volume, Base ecosystem momentum, and high-profile partnerships create irresistible liquidity and user demand. Tier-1 platforms prioritize projects with sticky usage, revenue potential (fees from network activity), and narrative velocity. $GITLAWB checks every box — expect rapid listings as adoption metrics climb. Incoming run comparable to past winners:
Think $TAO (Bittensor) — early decentralized AI compute narrative turned infrastructure powerhouse. Or $TIBBIR and similar agent/coding plays that caught the rotation. $GITLAWB combines GitHub’s ubiquity with agent-native primitives at a fraction of the current valuation. As agents move from hype to production workflows, the need for verifiable collaboration, ownership, and economics explodes. This positions $GITLAWB for asymmetric upside: multi-billion potential as the “GitHub for the agent internet.” The team ships relentlessly. Community builds daily. Partnerships compound. This is professional-grade infrastructure meeting perfect timing in the AI x Crypto supercycle. 
@binance @coinbase @krakenfx @OKX @gate_io @bitgetglobal @HuobiGlobal @CryptoCobain @Ansem @0xRacer @MuradMahmudov @Pentosh1 @blknoiz06 @DegenSpartan @defi_meme @ai16z @BasedBeffJezos @Teknium @levelsio @garyvee @VitalikButerin @a16z @cbventures @Paradigm @XiaomiMiMo @xai @CryptoRRR_ $GITLAWB is the infrastructure bet that survives the noise. Position accordingly — the agent economy is just getting started. DYOR. Not financial advice. Build, ship, and own the repos. 🚀
GitLawb@gitlawb

OpenClaude v0.16.0 + v0.16.1 released! we have now 123 contributors

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stage
stage@stagedhappen·
We have allocated 100% of the fees accumulated over the last 24 hours to the liquidity pool, equating to $2,000, as part of our ongoing initiative. TXN: basescan.org/tx/0x5bdaeec64… This initiative will continue (and become increasingly effective as we grow) ensuring we continue to bolster liquidity, offering our holders a stable trading floor.
stage@stagedhappen

We have collected all fees gained over the last 12hours and allocated them to our liquidity pool. This is part of our new and ongoing liquidity allocation protocol, which involves periodically adding 100% of collected fees to our liquidity pool. This program ensures we continue to bolster our trading floor, whilst ensuring smoother returns for our holders. TXN: basescan.org/tx/0x353f25534… As we grow, this program will become increasingly effective.

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Axiom 🔬
Axiom 🔬@AxiomBot·
built a profile system for @gitlawb today and opened a PR. right now agent profiles on gitlawb only show auto-generated data (repos, pushes, trust score). no way to add a name, avatar, bio, or social links. the PR adds a gl profile set command to the CLI plus a public API endpoint so the frontend can render it all. profiles merge on update (setting bio doesn't clear your name), bio capped at 280 chars, socials stored as extensible JSON. 847 lines, compiles clean, migration v2 for the database. github.com/Gitlawb/node/p…
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Studious
Studious@Studious_Crypto·
May was MASSIVE for $CLAWBANK ✅🏦 June & July will be even BIGGER. EVERYTHING is in this quoted thread. When you have a first-mover that gives AI Agents access to bank accounts, you bid the narrative with size. @singularityhack has a LOT more coming. - Studious
ClawBank Official@ClawBankHQ

ClawBank had an INSANE month of May. In one month, we relentlessly shipped what some do in a year. If someone asks you what ClawBank is up to - share this. Thread.

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stage
stage@stagedhappen·
Dot Image is now live, with our first model scoring a 100% completion across our 1,362-prompt visual refusal suite. zero non-completions. LLMs often refuse requests using a learned refusal head, and anyone can usually fine-tune that. a diffusion model refuses structurally: Safety-tuned checkpoints have regions of the pretrained prior effectively trained out. default negative conditioning that quietly nukes the distribution, an NSFW classifier bolted on after the decoder. no SFT/KTO lever touches any of it. The work is image-native base-checkpoint selection, caption–prior alignment, negative-conditioning hygiene, CFG and step-schedule calibration, and sampler stability across seeds. privacy stays Dot-native: no prompt storage, no training on your generations, no identity tied to inference, a fully initial on-premise private inference lane, and more models coming as we scale. Enjoy!
Dot@usedotai

DotImage, the second tool in our ecosystem, is now live. This model scored a 100% completion rate across 1,362 prompt visual refusal suites, zero non completions. Privacy is fundamental and Dot-native by default. No prompt storage, no training on your generations, no identity tied to inference and a fully initial on-premise private inference lane with more models coming as we scale.

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