David Taboada 🌐

OpenClaw doesn't belong in production. We built PokeeClaw — enterprise-secure AI agents, zero setup, 1,000+ app integrations. Try now: pokee.ai First 500 to follow @Pokee_AI, comment “PokeeClaw”, like & repost get 1 month free.

@Pokee_AI PokeeClaw

@bloggersarvesh Great hook. It will show up everywhere.

it's 6am. you wake up to the sound of rain without worrying about money for the first time in your life. because these 20 Claude prompts changed everything. DON'T bookmark this if it crosses your timeline. Just paste this entire thing into Claude. thank me later.

Introducing core.so (oss apache 2.0) We’re building the future of an AI-native workspace. We rebuilt functionality from Slack, Linear, and Notion. Our vision is simple: centralize context so small teams can work more efficiently with agents.

Introducing One. The simplest way to connect and monitor AI agents to hundreds of apps. And we’re open-sourcing the world’s largest integration database powering it: 47,000 agentic actions across 250+ apps. RT + comment “One” for access & 1M free API requests/month.

@katibmoe One

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

🚨 BREAKING: Tencent has killed the “next-token” paradigm. Tencent and Tsinghua has released CALM (Continuous Autoregressive Language Models), and it completely disrupts the next-token paradigm. LLMs currently waste massive amounts of compute predicting discrete, single tokens through a huge vocabulary softmax layer. It’s slow and scales poorly. CALM bypasses the vocabulary entirely. It uses a high-fidelity autoencoder to compress chunks of text into a single continuous vector with 99.9% reconstruction accuracy. The model now predicts the “next vector” in a continuous space. The numbers are actually insane: - Each generative step now carries 4× the semantic bandwidth. - Training compute is reduced by 44%. - The softmax bottleneck is completely removed. We’re literally watching language models evolve from typing discrete symbols to streaming continuous thoughts. This changes the entire trajectory of AI.

We open sourced a version of the world's most capable AI co-scientist. Free. Easy to install. Has access to our Scientific Skills that are in use by 150k+ scientists worldwide. Please star the GitHub repo and repost/retweet.

🚨 JUST IN: CHINA just released an AI EMPLOYEE that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.

We're giving away the exact list building system behind 23M+ cold emails and 400+ B2B companies. For FREE. 8 phases. 11 video walkthroughs. 2 AI agents that automate most of it. Here's what's inside: → How to define your ICP so it actually filters (not just "Series A SaaS in the US") → Multi-source discovery: one provider gives you 50-60% coverage. Two gets you to 80-90%. The math changes everything. → Company enrichment and scoring before you ever find a single contact → Contact validation: 30-40% of emails in databases are invalid. Skip this step and your sender reputation is toast. → Deduplication at company AND people level (most teams skip this and wonder why deliverability tanks) → AI personalization built on real data points, not "I saw you work in tech" → Activation: getting clean, scored, segmented data out of Clay and into your sequencer Most teams send raw lists and get 1-2% reply rates. Proper enrichment changes that completely. To get it: - Follow @itsalexvacca - Retweet this post - Reply "LIST" I'll DM you the link.

@itsalexvacca LIST

Introducing Blink Claw - the first platform to hire unlimited AI employees that run your business 24/7. 180+ AI models included. Gmail, Slack, LinkedIn, HubSpot - one-click connect. No API keys, no $600 Mac Mini. Reply "Claw" + RT. Your first agent is on us. ($50 - 200 creds)

@blinkdotnew Claw

@LoganTGott Claude

Claude DESTROYS ChatGPT for leads gen on LinkedIn. I put together the Claude LinkedIn Prompt Vault (below) Claude is by FAR the best at building funnels and copy. I use my info combined with my prompts to build out entire lead magnet funnels, write posts, optimize my profile and more. My prompts are INSANE and replace entire content teams. I compiled ALL my Claude prompts into one vault: • Custom Notion System Prompt • The Premium LinkedIn Profile Prompt • Reddit ICP Problem Research Prompt • The LinkedIn Content System Prompt • Sales Calls Into Problem Aware Content Prompt • Long Form → Short Form Repurposing Prompt • Carousel / Infographic Creation Prompt • LinkedIn Outbound Acquisition System Prompt • Lead Magnet Post Generator Prompt • Lead Magnet Funnel Build Out Prompt Want access to this vault? → Comment "Claude" → Follow me and I'll DM the vault!

@yanndine AGENTS

My team built 16 AI agents for GTM ops. You can have them for FREE - Comment "AGENTS", and I'll send it to you. Most GTM agencies misuse AI in their stack. They bolt on tools, run one-off automations, and hope the output is good enough to send. Even strong operators end up with outreach that looks personalised but isn't actually built on any real signal. So I documented what actually works. I took every manual task that slows down a GTM team - qualifying lists, writing first lines, scoring accounts, detecting intent - and turned each one into a deployable AI agent. Here's what I found: ✅ Most ICP filtering is done by a human who doesn't have consistent criteria ✅ Personalisation at scale breaks down because copy agents aren't given structured inputs ✅ Lead scoring is either missing entirely or stuck in a spreadsheet nobody trusts ✅ Teams have no system for detecting where a lead is in their buying journey - so every message gets the same CTA Now, I want to share the exact library with you. This won't guarantee you a full pipeline overnight... But it will make your GTM ops faster, more consistent, and actually scalable. Inside, you'll get 16 agents across 4 categories: ✅ Setup guides for n8n, Relevance AI, and Make - so you can deploy without starting from scratch ✅ Copy agents - first line writer, voice note script generator, case study matcher, industry personaliser, pain point identifier ✅ List building agents - ICP qualifier, SaaS validator, tech stack detector, company name cleaner, TAM account scorer ✅ Lead scoring agents - account fit scorer, intent signal ranker, tier assigner, champion identifier, buying stage detector ✅ Every prompt includes structured JSON outputs - ready to connect straight into your CRM or sequencer ✅ Every agent includes the exact variables to fill in - no prompt engineering required ✅ One Notion doc, zero opt-in, use it today Your GTM operation is either running on systems... Or running on people doing repetitive work nobody should be doing manually. There's no in-between. These 16 agents turn the manual parts into something that runs on autopilot. If you want to stop rebuilding the same workflows from scratch: Reply "AGENTS", and I'll send you the link.

cold email is a $1M/year MONEY PRINTER for any B2B business that needs clients took me 4 hours to put together 43 pages of EVERYTHING i know - the scripts that book calls - untapped lead sources - the full infrastructure setup - 2026 deliverability guide after sending 1,000,000+ emails and booking 3,000+ calls i'm giving it all away for free like + comment "BLUEPRINT" and i'll send it over (must follow + RT for priority access)

@scaling_shields BLUEPRINT