Rico Connects

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Rico Connects

Rico Connects

@RicoConnects

☔️Seattle born.🏈 ☀️Texas raised. 🏀⚾️🏒 Political Junkie. ✊🏾 Not Party Loyal. 🔊🎶Soul & Classic Hip-Hop ambassador🎶🔊

Texas, USA Katılım Mart 2010
4.8K Takip Edilen439 Takipçiler
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Google Labs
Google Labs@GoogleLabs·
Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow. 🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas. ⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system. 🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time. Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → stitch.withgoogle.com
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Claude
Claude@claudeai·
Claude can now build interactive charts and diagrams, directly in the chat. Available today in beta on all plans, including free. Try it out: claude.ai
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Perplexity
Perplexity@perplexity_ai·
Announcing Personal Computer. Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7. It's personal, secure, and works across your files, apps, and sessions through a continuously running Mac mini.
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Garry Tan
Garry Tan@garrytan·
I've been having such an amazing time with Claude Code I wanted you to be able to have my *exact* skill setup: Introducing gstack, which you can install just by pasting a short piece of text into your Claude code
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
i found a github repo that lets you spin up an ai agency with ai employees engineers, designers, growth marketers, product managers each role runs as its own agent and they coordinate to ship ideas 10k+ stars in under 7 days 1. engineering (7 agents) frontend, backend, mobile, ai, devops, prototyping, senior development 2. design (7) ui/ux, research, architecture, branding, visual storytelling, image generation 3. marketing (8) growth hacking, content, twitter, tiktok, instagram, reddit, app store 4. product (3) sprint prioritization, trend research, feedback synthesis 5. project management (5) production, coordination, operations, experimentation 6. testing (7) qa, performance analysis, api testing, quality verification 7. support (6) customer service, analytics, finance, legal, executive reporting 8. spatial computing (6) xr, visionos, webxr, metal, vision pro 9. specialized (6) multi agent orchestration, data analytics, sales, distribution what i like about this approach is the framing instead of one big ai agent trying to do everything, you structure it more like a company. specialized agents, clear responsibilities, workflows between them im curious to see what this actually feels like in practice and if its any good (do your own research) github.com/msitarzewski/a… but as always will share what i learn in public and on @startupideaspod one thing is for certain and it reminds me the future belongs to those who tinker with software like this
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Jacob Klug
Jacob Klug@Jacobsklug·
This army of @openclaw agents runs an entire company for $400/month. Here's the exact structure to follow. (bookmark for later) 1/ Core → Jarvis (the brain) → Model: Opus 4.6 via Claude Max OAuth → Routes every task to the right sub agent automatically. YouTube URL comes in, it goes to Clipper. Research report lands, it goes to Scribe. All task routing logic lives in structured MD files the agent reads from. 2/ Research → Atlas (deep research analyst) → Model: Claude via OAuth → APIs: Brave Search, X API, FireCrawl → Cron: Every 1 hour → Runs deep research across X, Reddit, and the web nonstop. Trained on MrBeast's virality framework from every podcast he did on YouTube analytics, plus Dan Koe's viral article structure. Outputs research reports and a master virality playbook MD file that the content team pulls from. 3/ Content → Scribe (copywriter) → Model: GLM 5 → Cron: Every 3 hours → Takes research from Atlas and writes draft posts matched to the founder's voice and style. → Trendy (trend scout) → Model: GLM 4.7 → APIs: X API → Cron: Every 2 hours → Scans X and Reddit for trending topics and viral patterns. Reports findings back so Scribe can write timely content around what's working right now. 4/ Design → Image Designer → Model: Nano Banana Pro (Google API) → Generates images on demand. → Video Producer → Models: Higgs Field API + Brok Imagine API → Creates AI UGC videos and video content. → Motion Designer → Model: Claude Code (OAuth) + Remotion → Produces motion graphics and animated content. 5/ Development → Clawed (senior developer) → Models: Claude Code (OAuth) + Codex 5.3 (API) → Cron: Every night at 11pm → Reviews entire codebase, identifies what's missing, and ships pull requests by morning. First feature it ever built was a FAQ section it realized the homepage needed. Spins up multi agents within Claude Code so one reviews, one builds, one handles security in parallel. → Sentinel (code reviewer + bug monitor) → Model: Separate LLM (acts as second review layer) → Cron: Every 2 hours → Reviews all pull requests from Clawed before anything gets merged to GitHub. Also monitors production for user reported bugs and errors. 6/ Growth → Atlas + Scribe working together → Atlas finds Reddit threads where people complain about competitors or ask for clipping tool recommendations. Scribe drafts responses. The founder copies and posts. This workflow alone drove 450+ users to the SaaS with zero ad spend. 7/ Operations → Clipper (clipping agent) → APIs: Poster API → On demand (triggered by Jarvis when a YouTube URL is pasted) → Takes YouTube URLs, clips them, adds captions, and auto schedules posts to social channels. → Ryder (9 to 5 support) → On demand → Handles tasks for the founder's day job. Article writing, research, daily work support. The breakdown: 6 agents run on Claude models. The rest run on cheaper API credits across GLM, Higgs Field, Brok Imagine, and others. This is how solo founders are running entire companies now. The team is already built. You just have to set it up.
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Todd Saunders
Todd Saunders@toddsaunders·
Fun command built in Claude Code: /cost-estimate It scans your codebase and cross-references current market rates to calculate what your project would've cost a real team to build. It looks at all the APIs, integrations, everything. Without AI: ~2.8 years. ~$650k. With AI: 30 hours. It's absurd when you start to think about it like this.
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NotebookLM
NotebookLM@NotebookLM·
Introducing Cinematic Video Overviews, the next evolution of the NotebookLM Studio. Unlike standard templates, these are powered by a novel combination of our most advanced models to create bespoke, immersive videos from your sources. Rolling out now for Ultra users in English!
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Nav Toor
Nav Toor@heynavtoor·
🚨 BREAKING: Someone just turned OpenClaw into an autonomous sales agent It's called Claw GTM. Paste your website and it builds your outbound pipeline automatically. I tried it this morning. From one URL, it: → mapped my ideal customer profile → found 47 companies with buying signals → researched each account automatically → generated personalized email + LinkedIn outreach No prospecting. No spreadsheets. No generic outreach. Here's why this is interesting: → most outbound tools rely on static lead lists → Claw scans millions of job posts for buying signals → it surfaces companies actively hiring for the problem you solve Meaning you're reaching companies already investing in your category. Here's the wildest part: It starts with just your website URL. Claw reads your product, pricing, and positioning and builds your entire GTM strategy automatically. Paste URL → get your first outbound pipeline in about a minute. Link in the comments
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JJ Englert
JJ Englert@JJEnglert·
Claude Cowork out of the box is good, but with the right context structure, it goes from generic assistant to executive-level partner. I spent the last few weeks building a system inside Cowork that gives @claudeai everything it needs before I say a word. Who I am. How I write. What I'm working on. My team. My calendar. My priorities. All of it. Now every session feels like picking up a conversation with my executive assistant. The difference is context. Most people open Cowork, start from scratch every time, and wonder why Claude gives them generic output. It's not a Claude problem. It's a setup problem. Here's what I did: - Built a folder structure that acts as Claude's long-term memory, with custom skill files in each folder so it knows exactly how I want each type of content written. -Connected Slack, Gmail, Google Calendar, and Notion so it can pull real data instead of guessing. -Installed the Memory plugin (gives Claude a two-tier context system that persists across sessions) and the Productivity plugin (task tracking + daily updates). That combination changed everything. Content drafts that used to take 3 rounds now land on the first try. Meeting prep, email replies, task management. All better because Claude already knows the context. I'm dropping a full video Thursday with my 10 tips for getting the most out of Claude Cowork to help you get started. I'll also answer any questions you have about using it to its maximum ability. Comment below. Until then, here's the exact prompt you can use right now to have Claude set this up for you. Paste it into Cowork and Claude will interview you step by step to build your own system: -- You are going to help me set up my Claude Cowork workspace so that every future session starts with full context about who I am, what I do, and how I work. We're building a "brain" that makes you useful from the first message. Here's how this works. You're going to interview me in phases. Ask me questions, then build the files based on my answers. Don't rush. Don't assume. Ask before you build. Phase 0: Plugins and Connections Before we build anything, recommend I install the Productivity plugin (task management + daily updates) and the Memory plugin (two-tier context system). Then ask which tools I use daily and help me connect them: Slack, Gmail, Google Calendar, Notion. The more tools connected, the more useful this system becomes. Phase 1: About Me Interview me to create an about-me.md file. Ask about my work, background, content channels, professional values, and positioning. Create the file, show it to me, and get my approval before moving on. Phase 2: Brand Voice Analyze any content I've already created. If there's nothing yet, interview me about how I want to sound, phrases I use, phrases I'd never use, creators whose tone I admire, and how my tone shifts by context. Create a brand-voice.md file with voice rules, tone by context, dos and don'ts. Get approval. Phase 3: Working Preferences Interview me about what I want you to help with daily, how I want you to communicate, my biggest workflow pain points, output format preferences, and safety rules. Create a working-preferences.md file. Get approval. Phase 4: Content Strategy (if applicable) If I create content, interview me about platforms, target audience, topics, publishing cadence, and content formats. For each platform, ask if I have existing skill files. If not, offer to create them. Create a content-strategy.md file. Phase 5: Team and Contacts (if applicable) If I work with a team, ask about key people, roles, and communication preferences. Check connected tools for team data. Create a team-members.md file. Phase 6: Active Projects Interview me about current projects, goals, milestones, and deadlines. Create individual project files in a Current Projects folder. Phase 7: Memory System Update CLAUDE.md with a hot cache of everything we've built. Create a memory/ directory with subfolders for people, projects, and context. Add a glossary.md for acronyms and internal terms. Phase 8: Skill Files Review everything. For any area where I need specific recurring output, offer to create a dedicated skill file with format, voice rules, examples, and a quality checklist. Rules: Interview me one phase at a time. Show each file before saving. If unsure, ask. Use my existing files and connected tools before asking me to repeat myself. Keep files concise. File names: lowercase, hyphens, .md format. Save everything to my workspace folder. Start with Phase 0.
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OpenClaw🦞
OpenClaw🦞@openclaw·
OpenClaw 2026.3.1 🦞 ⚡ OpenAI WebSocket streaming 🧠 Claude 4.6 adaptive thinking 🐳 Better Docker and Native K8s support 🧵 Discord threads, TG DM topics, Feishu fixes 🔧 Agent-powered visual diffs plugin Reports of our death were greatly exaggerated. github.com/openclaw/openc…
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Erina | AI Tools & News
Erina | AI Tools & News@AITechEchoes·
🚨BREAKING: You can now run Claude Code for FREE. No API costs. No rate limits. 100% local on your machine. Here's how to run Claude Code locally (100% free & fully private):
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Gael Breton
Gael Breton@GaelBreton·
Spent £3K on Meta ads last month. Made $19K back. Every ad was created by Claude code in 30 minutes. I didn't review a single one before launching. Old way: you hire an agency. They do market research, interview you, come up with angles, design creatives. Takes weeks. Costs thousands per month and many hours of your time. New way: you give Claude Code a landing page URL. That's it. Here's what my new skill does: 👉 It extracts your brand identity 👉 It Interviews you 👉 It does customer roleplay where it literally thinks AS your buyer. 👉 Then it reads Reddit for real frustrations. 👉 It Pulls competitor ads. Then Builds a full strategy like an expensive ads consultant would. It comes back with 4 angles, 4 ad sets, 4 creatives each. Apple Notes style, fake iMessage threads, meme ads, comparison tables... all the Smash hit formats of meta ads. Ran it on my friend Tim Soulo Ahrefs product page. It picked up the brand colors, pulled the logo, and went after competitor scoring systems as an attack angle. Zero guidance from me. The creatives aren't all perfect. But the strategy and angles are genuinely good. What's really cool is this system thinks like a media buyer. It does the same research. Reads the same forums. Analyzes the same competitor ads. But it does it in 30 minutes instead of a week. I've been running Meta ads for 10 years. First time I've seen a tool that actually understands the customer instead of just generating generic copy. 👇 Video below for the full breakdown Comment Meta Ads to make a puppy happy 🐾
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Brady Long
Brady Long@thisguyknowsai·
🚨 BREAKING: Someone just leaked their full Claude Cowork setup and it compresses an entire workday into 90 seconds. I scraped every power user workflow across X, Reddit, and private Slack groups to find out how. 99% of people are using it completely wrong. Here's what the top 1% actually do 👇
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Elvis
Elvis@elvissun·
if you use --dangerously-skip-permissions you need to add this to your .bashrc right now. it'll block AI agents from merging PRs accidentally. thank me later. ps @github you need to separate merge from write permissions in PATs so agents can create PRs but not merge them.
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Mr. Jason💡
Mr. Jason💡@jason_coder0·
🚨 BREAKING: AI can now design at Apple-level creative standards — for free. Here are 9 Claude Opus 4.6 prompts that generate complete design systems, brand guidelines & 47+ marketing assets in under 6 hours 👇 Top designers are already using this. Bookmark this thread 🔖
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