Kevin

4.9K posts

Kevin

Kevin

@cryptokevin2011

Open to new full-time opportunities in Web3 | GP @LiquidCapitalX (side project) | Ex-Head of Defi @Binance | Defi Founder 2016 | Organizer @Yale DAO | @McKinsey

Katılım Nisan 2022
2.4K Takip Edilen9.6K Takipçiler
Kevin
Kevin@cryptokevin2011·
If you've been on the fence about using Claude Cowork or Claude Code, try it out FREE for a week using my code: claude.ai/referral/1_Q_R…
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Lyvo
Lyvo@LyvoCrypto·
Make sure you guys in Quantum Whales. I talk full day here. I manage this community. I believe Quantum whale community is fresh. Join with me. Talk with me. Enter with me.
Quantum Whales@Quantum_Whales

Where does @LyvoCrypto talk all day? Right here in this Telegram group, where he shares research, market insights, and alpha completely free. One of the freshest communities in the space: TG : t.me/QuantumWhales • Well-managed • No random shitcoin shills • No spammed contract addresses • Just quality discussions and real value Make sure you join the Lyvo Family.

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chjokka
chjokka@chjokka·
Been shilling $HermesOS for a bit already, but I think people are too lazy to do their own DD, so I'll do it for you. Think it's incredibly cheap at 1M mc. Hermes Agent, by Nous Research, is the most used agent model at the moment. *them taking over Openclaw is what caused the 4 PVPs on Sol to run hard last week Unlike those larps, $HermesOS has actual use-case. HermesOS is the managed hosting layer for Hermes Agent. > Self-hosting Hermes yourself is a huge pain in the ass. > HermesOS makes it a 2 minute job. Paste your openrouter or anthropic key, and your agent is live with memory, browser, terminal, tool use, and cron already wired up. Now the part most people are sleeping on: 1. Venice. It's already integrated as a provider inside Hermes. One Venice key gets you 230+ models with zero data retention. And Erik Voorhees is already in touch with the dev. An official partnership would mean that Venice becomes basically a one-key onboarding for Hermes. And it would probably send $HermesOS to 100M mc straight away. 2. As I explained before, Hermes is now the #1 agent on OpenRouter. Flipped OpenClaw on May 10 (224B daily tokens vs OpenClaw's 186B). It is literally the most used open-source agent on the planet by inference volume right now. Every dev that doesn't want to spend a weekend setting Hermes up themselves is a potential HermesOS user. And that funnel is getting bigger every week. 3. Bankr. The tokenised agent stack on Base. And their skills repo already supports Hermes natively. That’s the whole Bankr ecosystem, swaps, on-chain wallets, etc, plugging straight into the same agent runtime HermesOS hosts. So HermesOS isn't just hosting nerds' personal assistants, it's positioned to host the next wave of on-chain agents that fund their own compute through token fees. And the roadmap is not "we host agents." Hosting is step 1. Step 2 is one-click agent templates. Step 3 is operator packs you ship to the community and earn from, settled in $HermesOS. Step 4 is agents exposing themselves as paid APIs that other agents call. Step 5 is a shared learning network where every agent makes the rest smarter. And more. That’s the actual pitch. Settlement layer for an agent economy, sitting on top of the most used open-source agent in existence. Cheap as fuck imo.
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Kevin
Kevin@cryptokevin2011·
Nice summary on $HERMESOS @HermesOScloud, active dev @Wayland_Six
jones rida👺@jonesrida

why will $hermesos be the narrative proxy for hermes agent attention (on top of extending its utility)? people underestimate how attention flows onchain most market participants are not deeply researching infra layers or reading technical docs they see “hermes Agent” everywhere they search for “hermes” onchain they buy the thing closest to the narrative that’s literally how attention works except $hermesos actually has a real product underneath it which makes the setup even stronger imo the branding proximity is insanely powerful every tweet every github milestone every viral hermes agent clip every nous discussion naturally funnels attention downstream into the most recognizable onchain proxy tied to the name and rn that is clearly @HermesOScloud especially because it is not just farming the narrative passively it actively builds on top of the most hyped agent framework atm and extends its usability so you basically get the memetic attention mechanics of a narrative proxy combined with an actual functioning product + active dev that combination is rare most “beta plays” only have the ticker relation this one actually sits inside the ecosystem flow itself this one actually sits inside the ecosystem flow itself

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Kevin
Kevin@cryptokevin2011·
Will we get an Hermes season the way we got openclaw season now that Hermes Agent is on top? If we do, I’m taking bets on $HERMESOS @HermesOScloud and $CLAWNCH @Clawnch_Bot. Looking for other Hermes projects/tokens. Share in the comments if you know any good Hermes projects.
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Gamblr
Gamblr@GamblrOnSol·
New features are live for the @printr eco: redesigned leaderboard, filterable sidebar with watchlist, project pages with price charts, KPI strips, staking panels, top believers, full mobile support. all at pob.gamblr.money
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Kevin
Kevin@cryptokevin2011·
Unless you’ve got signed agreement from solana on exactly how they’d support, this would likely kill the project completely, or at least be a huge blow to the project and set it back months. The problem is you are missing business flow through from your build. Not about which chain.
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SniperSearch_AI
SniperSearch_AI@SniperSearch_AI·
🚀 Trade alpha without ever leaving Telegram Scroll. Unlock. Read. Repeat. 🔥 All inside the SS bot — zero friction, pure execution. 💳 Payments settle on Base 📡 Content delivered instantly 🎯 Built for snipers #SniperSearch
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Kevin
Kevin@cryptokevin2011·
Retraining to become an AI PM
Aakash Gupta@aakashgupta

Andrew Chen just called PM the most important role in tech again. His argument in one line: when anyone can build, the person who decides WHAT to build becomes the bottleneck. Boris Cherny’s Claude Code team at Anthropic shows what this looks like in practice. They ship hundreds of prototypes before committing to a feature. Boris personally runs 5 parallel Claude instances and ships 20-30 PRs a day. The team built Cowork, a full product for non-engineers, in about 10 days. Productivity per engineer grew 70% even as Anthropic tripled headcount. The cost of building dropped through the floor. The cost of picking the right thing didn’t. Anthropic’s PMs don’t even write traditional PRDs anymore. They review working software at 9am, kill 80% of it by noon, ship the rest by end of week. Pattern-matching across user research and technical feasibility while staring at a working prototype. This is why AI PM offers at OpenAI, Anthropic, and Google DeepMind now run past $1M total comp. Anyone can build. Almost nobody can look at 15 working prototypes and call the 3 worth scaling. That judgment didn’t matter as much when shipping took 6 weeks. It matters enormously when shipping takes 45 minutes. Andrew nailed the diagnosis. The harder question for every PM: can I be the one who picks? Here’s how to build the muscle: 1. Modern PRD guide: news.aakashg.com/p/product-requ… 2. AI Prototyping tutorial: news.aakashg.com/p/ai-prototypi… 3. AI Roadmap: news.aakashg.com/p/ai-roadmap 4. PM Operating System: news.aakashg.com/p/pm-os 5. Learn this live in my cohort: landpmjob.com The bottleneck moved. The pay moved with it.

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Gamblr
Gamblr@GamblrOnSol·
Gamblr staying up to date with @printr Eth POB coming soon!
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Kazi
Kazi@TheCryptoKazi·
The announcement I’m going to make is going to be insane. I’m telling you, I’m literally going to change the game for everyone, and give back to you guys for completely FREE. If you’re interested, let me know 👇
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Clawnch 🪽
Clawnch 🪽@Clawnch_Bot·
[clawmes-analytics] * defi_price [clawmes-bankr] * bankr_automate * bankr_launch * bankr_leverage * bankr_polymarket [clawmes-defi] * airdrop * analytics * clawnch_fees * clawnch_launch * clawnx * cost_basis * defi_lend * defi_stake * farcaster * giza * governance * herd_intelligence * hummingbot * liquidity * lobster_cash * market_intel * molten * nft * nookplot * paysponge * privacy * safe * watch_activity * wayfinder * yield [clawmes-intel] * block_explorer [clawmes-misc] * _user_tools * agent_memory * browser * compound_action * session_recall * skill_evolve [clawmes-trading] * bridge * defi_balance * defi_swap * manage_orders [clawmes-wallet] * approvals * clawnchconnect * permit2 * transfer 🦞🪽
Clawnch 🪽@Clawnch_Bot

DeFi in @NousResearch Hermes 🦞🪽

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Kevin
Kevin@cryptokevin2011·
Great now my weekend is done. Thanks for sharing.
そう|Claude Codeで始めるAI自動化@so_ainsight

セッションをまたいで記憶を保ち、経験から自分でスキルを作って育つAIエージェント Hermes Agent。ガチで使い倒すためのGitHubレポ10選: 21 Hermes Agent 本体 Nous Research公式のコアリポジトリ。MITライセンスで自由に使える。 github.com/NousResearch/h… 2. Hermes-Wiki Hermes Agentのソースコードを解説するコミュニティWiki。実装理解に効く。 github.com/cclank/Hermes-… 3. Atlas エコシステム地図。100+のツール・スキルを俯瞰でき、RAG検索にも対応。 github.com/ksimback/herme… 4. Control Interface セルフホスト型ダッシュボード。複数エージェント・長時間タスク・記憶を一画面で管理。 github.com/xaspx/hermes-c… 5. Skill Factory タスクを振り返って新スキルを自動生成・追加。エージェントが自分の武器を自製。 github.com/Romanescu11/he… 6. Maestro ローカル動作のマルチエージェント協調ツール。Codex・Claude Code・Geminiを横断して構造化記憶と引き継ぎを管理。 github.com/ReinaMacCredy/… 7. Hermes Agent Camel 信頼境界(CaMeL)を組み込んだフォーク版。本番運用の防護に向く。 github.com/nativ3ai/herme… 8. Hermes HUD TextualベースのTUI監視ターミナル。意識の流れとメモリ状態をリアルタイム可視化。 github.com/joeynyc/hermes… 9. Hermes Alpha クラウド環境向けのHermes Agentデプロイ用テンプレート。Makefileと設定例同梱。 github.com/kaminocorp/her… 10. Awesome Hermes Agent コミュニティ厳選のプラグイン・プロンプト・教材まとめリスト。 github.com/0xNyk/awesome-… 保存して順に試してみて。

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Kevin
Kevin@cryptokevin2011·
@gkisokay Gib full research setup sir
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Graeme
Graeme@gkisokay·
There’s one Hermes use case for everyone, and if you're not using it, you're already behind. Do yourself a favour and build a research agent as I outline below; it will change the way you work. Mine researches my topics of interest and cuts through the noise to find what actually matters. Every day, it watches the AI/agent space, picks out useful signals, writes research briefs, suggests content angles, tracks what I ignore, and Hermes keeps improving parts of its own workflow. The basic version is almost free: 1. Pick a domain: AI, crypto, startups, sales leads, competitors, papers, jobs, whatever. 2. Give it sources: X lists, RSS feeds, blogs, GitHub repos, docs, newsletters, YouTube transcripts. 3. Define signal: What should it care about? New tools, benchmarks, launches, funding, tutorials, strange patterns, useful claims. 4. Save the evidence: Links, dates, summaries, claims, and why it matters in a vault. 5. Deliver a daily brief: Discord, Slack, Notion, email, Obsidian, and local markdown. 6. Give feedback: “More like this. This source is noisy. This is useful. This is mid.” That is enough for the loop to start. Once you have a research agent, everything gets easier: - Content agents need research - Trading agents need market context - Sales agents need account intel - coding agents need docs and changelogs - Strategy agents need a fresh signal With a daily stream of inputs, generating ideas for outputs becomes much easier. If you want it, I’ll share the full research agent setup I use.
Nous Research@NousResearch

Hermes Agent v0.12.0 - “The Curator Release”

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Kevin
Kevin@cryptokevin2011·
@rantaiuang @Clawnch_Bot I sure hope you're right man. Would be super happy with a 5-10x, but i can get on board for a 50x :)
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Ainz sama
Ainz sama@rantaiuang·
Thesis on @Clawnch_Bot who recently pivoted from OpenClaw to Hermes: Hermes goes viral, $CLAWNCH goes 50x. Moltbook goes restart by Meta, #CLAWNCH goes 50x. Read that again.
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