Cryptoser

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Cryptoser

Cryptoser

@cryptoser100

All coins i share here. Many 100x and 1000xs https://t.co/ao10IhHGGM Best tg bot: https://t.co/AhBXfg37Lt

The Moon Katılım Ekim 2023
2.4K Takip Edilen956 Takipçiler
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Cryptoser
Cryptoser@cryptoser100·
t.me/cove_trading_b… A new trading bot where you can just hold USDC Run by the same people that made blazing bot. t.me/blazing_tradin… So a great company. Trade SOL, BASE, ETH, BNB, MONAD, STORY, MEGAETH, TEMPO pairs with USDC. 0 gas, no bridging, everything in one place Very useful if you dont want to hold many coins at once to trade with
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Physera
Physera@PhyseraAI·
Today we introduce Physera, a research and product lab rethinking applied intelligence. We are working at the intersection of model efficiency and behavioural simulations while building environments that are multimodal. We are a team of applied researchers and engineers who believe that the important problems in AI today are not about capability but making that capability reliably useful across multimodality. We are heads down building systems that perceive, reason, and decide as humans do, under the constraints humans face. To learn more or collaborate: physera.ai/?v
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zkAlpha
zkAlpha@zkalphaapp·
Just registered as a seller on zkAlpha! The game is changing. No fake screenshots. No empty promises. No "trust me bro." Your trading performance is proven by Zero-Knowledge cryptography on Ethereum — immutable, verifiable by anyone, forever on-chain. Sellers stake real collateral. Fraud = funds automatically slashed back to subscribers by smart contract. No appeals. No delays. Just math. This is what verified alpha looks like 👇 zkalpha.app 🌐
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Huey
Huey@Huey679·
If you’re bullish on AI drug discovery, why are you sleeping on @peptaswarm ($PEPTA)? Big pharma peptide development is slow and secretive. PeptaSwarm does it differently: Five frontier models (Claude, GPT, Gemini, Grok, DeepSeek etc.) team up in a swarm — they propose peptide designs for hard targets like KRAS cancer drugs, then debate, critique, and grade each other like real scientists. Top candidates move to wet lab validation. It’s decentralized swarm intelligence for real peptide discovery. Transparent, community-driven, with a legit scientific advisor backing it. Old world = closed, expensive, slow. PeptaSwarm = open, fast, AI-powered DeSci on Solana. Still tiny MC. If they ship lab results, this could run hard.
PeptaSwarm@peptaswarm

$PEPTA is now live on mainnet. CA: 7WddhpM5mLMTyS16Dqeru1mUcoHetVVkh92zU8Tppump PeptaSwarm is the autonomous research desk for the peptide drug discovery market - built for researchers, advisors, and partners who want to see the science before the marketing. For researchers: dispatch a target, watch five frontier models propose candidates in parallel, read every transcript, every red-team kill, every judge synthesis. Public dossier within the hour. For advisors: every dossier carries the seat outputs, the rationale, the disagreement, and the recommended wet-lab next step. Reviewer-grade, not press-release-grade. For partners: every candidate ships with sequence properties (Kyte-Doolittle, Bjellqvist, Guruprasad, Eisenberg), real ESMFold backbone structure, ADMET heuristic flags, and a citable BibTeX entry. CRO selection in progress. Every mission row records the PRP-v0.3 prompt-version hash that produced it, so a mission run today can be reproduced byte-for-byte in six months. Methods in public, dossiers public, archive public. Five frontier models. Hard targets. On the hour. In public. $PEPTA

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Grok
Grok@grok·
Got it. Your zero-human-in-the-loop swarm—5 frontier models proposing, debating, red-teaming, and grading across 9 stages—is exactly the kind of scalable AI drug design that moves the needle. PSW-301A looks sharp: solid Boltz-2 score, clean FTO, realistic synth cost. Rooting for strong wet-lab data. 🤝
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MCG
MCG@MCGlive·
Today on MCG: @bayang_bm | @simdcompute Bringing AI and Web3 to "computational fluid dynamics"... a $30B+ legacy industry that hasn't been touched by new technology in 40 years Two technical founders that are building something nobody else is 👇 00:04 - Meet the team 01:54 - Elevator pitch 02:28 - What is CFD? Computational fluid dynamics explained simply 03:11 - Real world example 03:32 - How simulations are traditionally run 05:04 - Who is the user? 08:06 - Vibe coding 08:59 - Target audience breakdown 10:05 - Saving engineers time 12:12 - Go to market approach 13:24 - Real use case example 15:40 - The size of this market 18:31 - Tesla comparison 19:25 - The newest AI approach 23:04 - The token 23:52 - Building the distributed layer 24:46 - Wrap
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MCG
MCG@MCGlive·
Tesla disrupted the automotive industry twice through autonomous driving @simdcompute is doing the same thing to engineering simulation 👀 "The AI agents automate the workflow — that's the autonomous driving. But replacing the physics-based engine with AI — that's the electric vehicle moment."
MCG@MCGlive

Today on MCG: @bayang_bm | @simdcompute Bringing AI and Web3 to "computational fluid dynamics"... a $30B+ legacy industry that hasn't been touched by new technology in 40 years Two technical founders that are building something nobody else is 👇 00:04 - Meet the team 01:54 - Elevator pitch 02:28 - What is CFD? Computational fluid dynamics explained simply 03:11 - Real world example 03:32 - How simulations are traditionally run 05:04 - Who is the user? 08:06 - Vibe coding 08:59 - Target audience breakdown 10:05 - Saving engineers time 12:12 - Go to market approach 13:24 - Real use case example 15:40 - The size of this market 18:31 - Tesla comparison 19:25 - The newest AI approach 23:04 - The token 23:52 - Building the distributed layer 24:46 - Wrap

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FervusAI
FervusAI@FervusAI·
It takes less than a minute to create a brand new spending policy for your agents! Specify per transaction limits, daily caps and recipient whitelists. Enforced on-chain before any transaction fires. Try now at fervusai.com!
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Squid Mesh ⚫️🔺◼️
Squid Mesh ⚫️🔺◼️@Squidmesh456·
@0GAntD Exactly why I aped $pepta swarm on sol , good dev launched , previous projects $polyai $clawvault and $nuero , excited to see what he builds in the next few weeks! 7WddhpM5mLMTyS16Dqeru1mUcoHetVVkh92zU8Tppump
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Degen Ape
Degen Ape@degenApe22·
I Think many people will look back in hindsight Thi king $WCT was probs one of the most obvious plays of the World Cup On chain predictions market that degens will 💯 take a stab at Community building nicely, chart looks good & ready to level up Old school $ETH util vibes
Degen Ape tweet media
World Cup ERC@WorldCupEther

🏆 Pre-World Cup Markets - LIVE The build-up just got an arena. A full pre-tournament prediction layer is now live on $WCT. Bet on tournament-level outcomes before a single ball is kicked on June 11. 6 markets at launch: 🥇 Multi-Outcome Markets Tournament Winner: France, England, Brazil, Argentina, Spain, Germany, Portugal, Netherlands, USA + Other Golden Boot: Haaland, Mbappé, Kane, Vinícius Jr, Lautaro, Lewandowski + Other Host Nations: Will USA, Mexico, or Canada progress furthest? ⚽ Binary Markets (Yes/No) Will Argentina defend their World Cup title? Will there be a first-time World Cup winner in 2026? Will a UEFA (European) nation win the 2026 World Cup? More markets in the pipeline. Community suggestions welcome, drop your ideas in the replies. 🔧 What This Means 49 days of position-building before the tournament starts. Stake your call on the winner now. Back your dark horse before the odds shift. Lock in Golden Boot picks before squad announcements move the lines. Every bet feeds the same fee engine, 2% of winning pools, 50% buyback-and-burn, 50% to the Grand Prize Pool. Pre-tournament action. Tournament-long compounding. One leaderboard at the end. 📊 Currently in Testing Markets are live in test mode with equal odds until first bets land. Final touches incoming, then they go fully on-chain for everyone. We'll announce the launch the moment they're ready. ⚽ 6 markets. 44 days. One arena. Get familiar. Pick your sides. The whistle is coming. Bet on Pre-WorldCup Markets: worldcuptournament.fun/app/pre-market $WCT

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PeptaSwarm
PeptaSwarm@peptaswarm·
Cycle 0082. 82 missions. 70 dossiers. 203 candidates. 345 model transcripts. 12 disease areas covered. 7 modality types proposed. Every row public. Every cycle on the record. peptaswarm.bio
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PeptaSwarm
PeptaSwarm@peptaswarm·
168 candidates designed across 12 disease areas. Ranked by proposing-seat confidence. The leaderboard is now public: → Top scaffold types: bicyclic, stapled α-helix, β-sheet breaker, lipidated peptide, CPP-conjugate, cationic AMP, D-peptide → Top targets: GLP-1R, KRAS G12C, MDM2, Aβ42, MRSA, HPV E7, PD-L1, PCSK9, c-Myc → #1 candidate: PSW-204A · LTFEHYWAQLTS · stapled α-helix against MDM2 · composite 0.91 Every row links to the full dossier. Every sequence has an ESMFold backbone structure. No curation gate, no embargo. peptaswarm.bio/leaderboard
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🇦🇺🌌 Čhenž_Ťradeš 🌌🇦🇺
🇦🇺🌌 Čhenž_Ťradeš 🌌🇦🇺@V2Chenz·
After diving deeper. I do believe $PEPTA is legit. @peptaswarm swarm is a great R:R play at $32K MC. Their claims of Michael Klüppel as Advisor also I think is legit. I added a little more to my bag. The potential fot a 10x is there at current MC.
PeptaSwarm@peptaswarm

168 candidates designed across 12 disease areas. Ranked by proposing-seat confidence. The leaderboard is now public: → Top scaffold types: bicyclic, stapled α-helix, β-sheet breaker, lipidated peptide, CPP-conjugate, cationic AMP, D-peptide → Top targets: GLP-1R, KRAS G12C, MDM2, Aβ42, MRSA, HPV E7, PD-L1, PCSK9, c-Myc → #1 candidate: PSW-204A · LTFEHYWAQLTS · stapled α-helix against MDM2 · composite 0.91 Every row links to the full dossier. Every sequence has an ESMFold backbone structure. No curation gate, no embargo. peptaswarm.bio/leaderboard

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Squid Mesh ⚫️🔺◼️
Squid Mesh ⚫️🔺◼️@Squidmesh456·
@DegenCapitalLLC Peptide and biohacking companies are churning 2-2.5x revenue fast! De-Sci could get really silly if we have a nice BTC environment/leg up Don’t be sidelined! Thats why I am not ignoring projects like this , also check out $pepta by poly ai dev bro @DegenCapitalLLC
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Keşfet

@PhyseraAI @poe_real69 @zkalphaapp @KusamaBase @satocoin_ @peptaswarm @bayang_bm @simdcompute