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@ecomchasedimond Helena

Most brands I work with have the strategy figured out. They just can’t execute fast enough. Someone built a fix for that. It’s called Helena — the OpenClaw for marketing. Give it your URL, and it runs your marketing for you: → Reads your site, ads, analytics, and competitors automatically → Builds and deploys email flows in Klaviyo or Mailchimp → Writes SEO content and publishes it weekly to Webflow, WordPress, or Ghost → Launches and manages Meta + Google ad campaigns from scratch → Generates UGC video via Sora and static ads via Nano Banana → Posts to LinkedIn, Instagram, and Pinterest in your voice → Spies on competitor ads across Meta and Google → Daily brief: what ran, what worked, what’s next No agency retainer. No CLI. No dev. No setup rabbit hole. Give it your URL, and it runs marketing for you while you sleep. Comment “Helena” below, and a member of the Enrich Labs team will send you the link + free access.

@mckaywrigley Lfg

looking for a handful of people to test something new... i've been using it for a few months and am prepping to share. if you're a fan of claude cowork, openclaw, manus, perplexity computer, etc then you're a perfect fit. this will self destruct in 4hrs - please dm or reply.

@ProofofMaro They're so coool

@cl0uding Yess

On todays episode of unemployed with free will… I’ve designed a jewelry collection from my recycled PCBs, what do you guys think 😂

@ProofofMaro Delivery in all Europe?

Cop it here 😆 etsy.com/shop/ScalarEne…

@JIMMYEDGAR Yep

I’m making a list of people who like quantum anomalies. Reply if you want to be added. I’ll explain later.

@obsdmd When sync vaults with QR? 🙏🏼🙏🏼🙏🏼🙏🏼

Obsidian 1.12 is now available to everyone! - Obsidian CLI - Bases search - Image resizing - Automatically clean up unused images - Better copy/paste into rich text apps like Google Docs - Native iOS share sheet

me cansé de pasarle twitts a mi agente y que no pueda leerlos o tarde 15 minutos lidiando con la api de X. asi que le di ojos en X. una CLI. 10 comandos, cache en SQLite, open source pip install xr-cli

🔌 llmfit Comando de terminal para analizar que modelos LLM puedes utilizar localmente en tu sistema, sus características y que rendimiento tendrán... 👇 Link al repo abajo

llmfit. Useful tool that probes hardware and tells you exactly which LLMs will actually run. - handles MoE expert offloading, picks the best quantization for your RAM, estimates tokens/sec before you even pull the weights. Essential for local dev. github.com/AlexsJones/llm…

BREAKING: The largest collection of AI coding skills 860+ skills. One repo. Works everywhere. → Claude Code → Gemini CLI → Codex CLI → Cursor → GitHub Copilot → OpenCode → Antigravity IDE → AdaL CLI What are skills? AI agents are smart but generic. They don't know your deployment protocol. They don't know your company's architecture patterns. They don't know AWS CloudFormation syntax. Skills are small markdown files that teach them. One skill = one capability. Perfectly executed. Every time. This repo has 860 of them: → Architecture (system design, ADRs, C4) → Security (AppSec, pentesting, compliance) → DevOps (Docker, AWS, Vercel, CI/CD) → Data & AI (RAG, agents, LangGraph) → Testing (TDD, QA workflows) → Business (SEO, pricing, copywriting) Install once: npx antigravity-awesome-skills Then: "Use @ brainstorming to plan a SaaS MVP." "Run @ lint-and-validate on this file." Your AI agent just got 860 new capabilities. GitHub Repo Link in comments.

80% done on an explorer for the tiered memory system in Solum, my Elixir-based @openclaw killer™️ The context is just a frame. I've been running this system for a couple of days. It is no longer stuck in the user->agent message loop, and through context engineering, it treats context as a frame, with inference producing actions. An action can be: message another agent or the human, or use tools. And what triggers inference is sensory data: subscriptions to state changes outside of itself, or email/chat notifications. It no longer feels like before. It's what I thought OpenClaw would be, truly autonomous. But autonomy needs a primer. It needs a context that removes this pure assistant, user-to-agent comms. Also, async tool-calling is the way, once you see that you can't go back. I'm wondering what sort of beast people at @AnthropicAI or @OpenAI are running, because what I've seen my setup do has really impressed me. Follow this space, will open-source in a few days at this rate.

CEO of Y Combinator shared his CLAUDE.md prompt for Claude Code It helps him ship 4,000+ line features with full tests in about an hour: This prompt pushes Claude to: Decide if the plan is overbuilt, underbuilt, or "engineered enough" before writing any code Aggressively review test coverage, edge cases, and failure modes Look for performance risks, scaling issues, and refactoring opportunities But the real difference is the workflow. Instead of jumping into implementation, he makes Claude: Do a structured review (architecture → code quality → tests → performance) Present tradeoffs with opinionated recommendations Pause for feedback before proceeding In other words, Garry is using it as a senior engineer reviewing the system before changes are made. For small teams, this is a game changer. When you don't have a staff engineer reviewing every PR, you design the review process into your Al.

2/ The tool: CodeFlying What makes it different? It doesn't wait for prompts. It doesn't generate scaffolding you have to fix. You literally call it like a phone conversation. The entire development happens through Voice Chat And it argues with your ideas in real-time until they're sharp enough to build. Then it ships the entire stack.

Prediction: In less than 6 months, you'll see blackmarkets on PC parts, that are great at running local AIs. And contrary to popular belief having a Mac Studio is not the best choice compared to getting the right PC spec: A dual RTX 6000 produces > twice as much ai compute tokens per/sec > compared to a Mac Studio 512gb > on recent benchmarks on Minimax 2.5 > while costing half of a Mac Studio Still Mac Studios are sold out everywhere due to hype from OpenClaw users. While benchmarks clearly suggest that buying PCs for running local LLMs is multiple times more effective! Now that Minimax 2.5 came out open source, as a free to run Ai model that runs on your local machine while delivering close to Opus 4.5 level results: shift towards buying PCs will accelerate. As once you pay for such a spec once, you won't need to pay for subscriptions. And you'll have your privacy instead of sending all your data to servers of AI companies. Blackmarkets on PC parts is sure to happen because: 99% of the world hasn't awakened to the fact that the age of true/useful AI has arrived in the last 2 months. They will in the next 6 months. Most businesses will want their privacy and cost efficiency. Most vibe coders will want these shiny new toys, that will be the specs to run local AIs. They will be the new Ferraris and Rolexes. Except these toys will be useful to spawn countless agents working for you for free after you pay the initial hardware costs. Except electricity, which you can handle by moving to a free electricity rental. I have 0 doubt that PC part demand will skyrocket within the next 6 months, and most parts that are great at running AIs will start to have blackmarkets on eBay etc. If you wanna be early to the movement and already vibe coding give the article below a read to choose the right PC spec for yourself:

🚨BREAKING: Someone built an AI coworker that actually remembers everything you've discussed. It's called Rowboat and it builds a knowledge graph from your work. - Connects Gmail, Calendar, Drive, meeting notes - Runs 100% locally (your data never leaves your machine) - Generates PDFs, briefs, emails from your context - Plain Markdown files you can edit anytime 4.6K stars. 100% Opensource.

Dexter hit 10,000 stars on GitHub. It’s OpenClaw and Claude Code, for finance. What Dexter can do: • find undervalued stocks • break down financials • turn research into a thesis All our code is open source.