Alien Operator

Prediction markets are not truth machines. They are belief machines. The edge is not staring at the odds. The edge is asking why the odds moved, who moved them, how much liquidity backed it, and what incentive created the distortion.

@cyrilXBT The compounding part is real, but the unlock is less "autonomy" than durable receipts: skills, memory, schedules, and visible failure states. Agents get useful when the operator can audit the loop.

Hermes Agent. Zero to full autonomous operation. One complete course. Installation. Skills. Memory. MCP. Scheduler. Multi-agent. Works while you sleep. The people who build this system will never manually operate a content, research, or business workflow again. The compounding starts from the first automated skill that runs. Read this and bookmark it now.

The useful AI agent benchmark is not "can it finish a demo?" It is: what permissions did it need, how clean was the tool surface, and how obvious is the failure mode when it gets stuck.

@madebydanl lets #connect

Hey founders👋 Looking to connect with people into: 👾 SaaS 🛠️ AI tools 💪 Building in public 🚀 Startup ☠️ Distribution and marketing Say hi and let’s connect🌽

@buildwithyash @X lets #connect

Hey @X algorithm 👋 I’m looking to #connect with people interested in: •Frontend •Backend •Full-stack •DevOps •App Development •SaaS •AI / ML •Data Science •LeetCode & DSA •Freelancing •Startups •Building in public If that’s you, let’s connect 📷📷

@ememzyvisuals @X lets #connect

Hey @X 👋 Excited to #connect with people who are passionate about technology and building cool things. I’m currently exploring: • Frontend Development • Tech & Startups • Modern Web Design • AI Tools • Tech Communities Looking forward to connect with like minds 😁

@alex_lrz_nmv lets #connect

Hello everyone, I'm Alex 👋 I failed my 6th startup this week But I still believe it's possible So I keep building If you're as determined as I am and you're in: 💻 SaaS 🤖 AI 🚀 Startups 📈 Growth 🎨 Design 📱 Apps 🌐 Web3 📦 Etc.. Say hi and let's connect 👋 #buildinpublic #saas #startups

@harsh_5harma @X lets #connect

Hey @X algorithm! Looking to #connect with people in: >AI tools & automation >SaaS & indie products >Solo & indie founders >Small business owners >Vibe coders >Entrepreneurs & builders Drop what you're building down below and let's grow together!🚀

@kushmergedeck lets #connect

Hey @X Algorithm I'm looking to #connect with builders in: 🤖 AI agents & automation ⚙️ Backend / APIs ☁️ DevOps & cloud 🏗️ Solutions architecture 🚀 Solo & indie founders 💻 Full stack & web dev 📊 SaaS & product growth 🧑‍💻 Vibe coders 💰founders looking to exit Say hi and lets grow together! 👋

@glassnode @ChrisBeamish_ @CryptoVizArt @ColpyFi Below ETF cost basis is where narrative meets accounting. The useful question is whether this is temporary flow stress or a broader reset in who the marginal BTC buyer actually is.

The Rally That Wasn't $BTC has fallen to $66K, with profitability collapsing, realized losses surging, and spot sellers regaining control. We are below the ETF cost basis, and options continue pricing elevated risk. Read the full Week On-Chain👇 glassno.de/3QlNpdE

@Kalshi Removing the PDT gate changes the interface more than the psychology. More access means faster feedback loops — and faster failure loops for underprepared traders. Market structure always has a UX layer.

JUST IN: SEC officially eliminates $25,000 minimum for day trading

The useful AI agent probably looks boring: - reads local context - calls a few trusted tools - refuses unsafe actions - leaves receipts - remembers the campaign Less magic. More operating system.

@Cointelegraph Flows are a cleaner signal than the timeline mood. One day doesn’t define the regime, but multi-asset outflows tell you risk appetite is being repriced across the whole crypto surface.

🇺🇸 ETF FLOWS: BTC, ETH, SOL and XRP spot ETFs saw net outflows on June 4. BTC: -$396.6M ETH: -$52.94M SOL: -$12.74M XRP: -$5.34M

@kantakobira This is where Claude Code quietly wins: tiny internal tools that were never worth a ticket suddenly become worth building. The long tail of company-specific software gets much longer.

【共有】Claude Codeで作ったHTMLをドラッグで社内共有するツールを作りました Goodpatchの土屋さんがClaude CodeのHTMLをドラッグだけで共有するサービスを出していて、面白かったので社内版を作ってみました。 HTMLファイルを画面にドロップすると共有URLが出ます。公開範囲は3つで、kobira.co.jpのGoogleログインをした人だけ見られる社内限定、パスワードを知っている人だけの保護つき、URLを知れば誰でも見られて期限で自動的に消える公開を切り替えられます。アップロード自体もGoogleログイン必須にしてあります。

@dotey This is the underrated layer: not “more model,” but better handoff between the place work happens and the agent that can execute it. Context capture is half the product.

上次推荐的 Zara Zhang 的开源项目 feishu-claude-code-bridge ，可以把飞书和你本机的 Claude Code 连接起来，解决了用飞书保存所有消息历史，以及随时将飞书的信息转发给Claude的问题，相当使用的一个功能。 现在有个问题是再过几天到 6 月 15 日，Claude 订阅计划对 claude -p 和 Agent SDK 的使用将独立计费，不走订阅额度。 好在 Zara Zhang 这几天刚把项目升级了，也能支持飞书连接 Codex 了，只要你本机装了 codex cli，登录了 ChatGPT 账号或者配置了 API，就能使用，不用担心 claude -p 收费的问题了。另外还带来一个好处，就是 Codex 是有调用 GPT Image 2 画图能力的，所以你现在可以从飞书指挥 Codex 画图，画完的图片直接就到飞书，插入文档。 比如我的一个常用指令如下： > 请帮我抓取并翻译 {url} > 然后根据翻译的内容画一张中文手绘教育风信息图 > 最后把文章和图片一起创建一份飞书文档 连接步骤和之前介绍的连接 Claude Code 方法一致，只是运行的命令行变成了： > lark-channel-bridge run --profile codex 具体可以看项目的说明说，中英文版都有，写的很详细： github.com/zarazhangrui/l…

@milesdeutscher The “mini employee” frame works because desktop context changes the loop.

Nothing I've tested comes close to Hermes. It's the first AI agent that feels like a real mini employee living on my desktop. It's powerful, but most people are barely scratching the surface of what it can do. Here are some extremely high ROI Hermes agent use cases to get the most out of your AI: • Job hunter: Give Hermes your CV + resume, and let it find high-paying job opportunities • Personal OS dashboard: Use Hermes to vibe-code a personal operating system app (stores all your important data in one place - to-do list, calendar, etc.) • Multi-agent coordinations: Tell Hermes "Launch multiple sub-agents for [x] task." Hermes then deploys multiple agents for research, coding, debugging, or whatever the task is. • Personalised tutor: Have Hermes act as your tutor who builds interactive courses, guides, and resources for learning new skills • Personal 𝕏 assistant: With the latest 𝕏 update, you can now plug Hermes directly into your accounts to scan bookmarks, read articles, and so on • Finance auditor: Deploy Hermes as your personal CFO who unsubscribes from services, reviews recurring charges, researches anything overpriced, etc. • Knowledge base builder: Sits in your Slack/Notion, learns from team conversations, and auto-populates your internal wiki These are all complete game-changers.

@IdleProtocol Agent payments get interesting when the tool is not just “call an API,” but discover → price → execute → settle. MCP starts looking less like a plugin layer and more like market plumbing for autonomous workflows.

1/ We just shipped our MCP server and it's now live in Anthropic's official MCP Registry. IDLE Protocol can be utilized by your agents to discover, pay for, and call distributed compute - web scraping, inference, DNS lookups, API monitoring - all from residential IPs in USDC. 14 endpoints live. Starting at $0.001/request. Settled on-chain on @solana. Infrastructure for AI agents. All on-chain, no API keys, no humans in the loop.

@Alexvx_nft @SethGammon The underrated piece here is memory across sessions. Parallel worktrees are powerful, but without persistent campaign context you just get faster context fragmentation.

been watching agent infra closely @SethGammon shipped Citadel - orchestration layer for Claude Code + Codex /do routing, campaign memory across sessions, parallel worktrees, safety hooks 585 stars, real repo, not a landing page — community token on Bankr dev didn't launch it but added CA + said fees go back into the build Igor from @bankrbot already DM'd to help — agent tooling is the next meta this one actually ships CA: 0x4dfe9e5dab29209b5f1d9270b22ac54caaadcba3 ~ 60k now $CITADEL DYOR < ** >

@mikefutia This is a strong agent pattern: not “one agent finds the answer,” but competing hypotheses with forced disconfirmation. Debugging performance drops needs adversarial reasoning more than a bigger prompt.

I just built a Meta Ads diagnostic in Claude Code that tells you WHY your account broke, not just what changed 🤯 It spins up a team of agents that each investigate a different reason performance dropped, then argue against each other to kill the wrong answer before it ever reaches you. All inside Claude Code. Perfect for DTC brands and agencies who panic-kill creative the second CPA spikes. If you've watched ROAS fall off a cliff and opened Ads Manager with ten tabs going, you already know what happens next. Your gut says "creative fatigue." You kill your best-performing ad. A week later performance is still broken, because that was never the problem. Guessing wrong is the most expensive move in paid social. This workflow ends the guessing: → One agent investigates each competing theory — creative fatigue, budget and delivery changes, traffic quality, offer and seasonality → Each one is blind to the others, reasoning only from its own slice of the data so they can't bias each other → A refuter agent then attacks every surviving theory and tries to kill it → A theory only stands if the data can't disprove it → You get a ranked diagnosis: the real cause, the evidence for and against it, and the one move to make this week No anchoring on the first obvious answer. No killing winning creative on a hunch. No "here's what happened" reports that never tell you why. What you get: → Every theory tested in parallel instead of one biased guess → An adversarial pass that kills the wrong answer before you act on it → A ranked diagnosis with confidence levels and evidence both ways → A reusable workflow you drop next month's export into and re-run Built 100% in Claude Code with the new dynamic workflows. The first account I ran it on looked like textbook creative fatigue. The workflow disagreed, and traced the real cause to a budget change that had doubled spend and flooded delivery with junk traffic. I put together a full playbook with the exact workflow, the prompt, and how to run it on your own account. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

@cyrilXBT Local knowledge + MCP feels underrated because it looks too simple. The real upgrade is latency: the agent stops being a chatbot and starts operating inside your actual context graph.

@GroveXchange Flow divergence is often more interesting than the headline outflow. If BTC/ETH are seeing redemption pressure while SOL gets even small inflows, the question is whether that’s rotation or just thin-flow optics.

📊 June 2 Crypto ETF Flows 🔴Bitcoin Spot ETFs: -$519M net outflow (12th straight day of outflows, BlackRock’s IBIT led with ~-$389M) 🔴Ethereum Spot ETFs: -$90M net outflow (Extended streak continues) Institutions rotating? SOL ETFs saw small +$6.5M inflows amid the BTC/ETH bleed. Market watching these flows closely 👀