Artur

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@itsalexvacca @MichLieben Ads

We built 12 Claude Code skills that run our entire paid media ops across Google, Meta, and LinkedIn at ColdIQ (and we're giving the whole pack away). Our head of growth Ivan Falco runs $200K/month in ad spend from a terminal. It's how we doubled client load this year without losing quality. The skills do the work that used to fill our media buyers' calendars: spot creative fatigue, adjust bids, upload audiences, run bulk edits, flag broken campaigns, build reports. Each skill does a specific job: Google Ads: → keyword-analyzer: audits quality scores and finds keyword gaps → negative-keywords: reviews search terms and blocks wasted spend → performance-auditor: compares periods and flags what changed → search-terms: surfaces queries burning budget with zero conversions Meta Ads: → audience-builder: turns CRM lists into custom audiences → creative-fatigue-analyzer: spots declining CTR before the metrics flag it → fatigue-monitor: flags when your audience is saturated → spend-tracker: tracks budget pacing across every campaign LinkedIn Ads: → audience-builder: builds targeting audiences at scale → bid-optimizer: adjusts bids across campaigns in bulk → bulk-editor: mass edits campaigns, ads, and naming in seconds → creative-builder: generates ad creatives from brand specs You drop them into Claude Code, connect your ad accounts, and tell it what you need. It reads the skill, plugs into the platform, executes. 300+ hours of work went into building these. Comment ADS and we'll send all 12 over.

@nickvasiles @orgo Thx for sharing Amazing times indeed 🤝

@orgo get it here: github.com/nickvasilescu/…

OpenAI just recreated Samantha from the movie "Her" This means we can finally have agents that do computer work as we talk to them in real time. Imagine the world when your agent creates thousands of versions of itself, each with its own @orgo computer... That's the future, and we're living it today.

@lukepierceops Assessment

A private equity firm came to us last quarter convinced they needed a custom AI build. We ran our standard audit first. Seven phases across three weeks. By the end, time spent on one of their core processes was on track to drop around 70%. And half of what they thought they needed didn't need to be built at all. That's usually how it goes. The audit is the part nobody wants to do because it's slow and unsexy. It's also the part that decides whether everything that comes after is worth a damn. I packaged the entire process into a self-serve SOP. Same framework we use across our engagements, written so an internal ops lead can run it themselves. What's inside: → The 7-phase audit framework → Stakeholder interview script → Process shadowing playbook → Current state mapping templates → Opportunity scoring matrix → ROI modeling and future state design → Audit document structure for leadership → 10 mistakes that tank internal audits Like + RT + Comment "ASSESSMENT" and I'll DM it to you. Make sure you're following me so I can DM.

Today we are launching two revolutionary products: Dual and Phase. These devices will enhance how humans dream. Prophetic Dual retails for $449 and starts shipping at the end of this year. Prophetic Phase retails for $1299 and starting shipping middle of next year.

@MichLieben @itsalexvacca GUI

I'm giving away the Claude Code skills we use to manage $300k/mo in ad spend at ColdIQ. 4X ROAS on $1M+ spent. Ivan, our head of growth, built them off 300+ hours running ad campaigns for our clients. They run Google, Meta, and LinkedIn ads from the terminal in plain English: → bulk edits across platforms → custom audiences from CRM lists → creative fatigue detection before CTR dips → bid adjustments at scale → performance audits across periods Reply "ads" and I'll send the full repo. Must be following.

Only one chance in this lifetime… Like watching sunset at the beach from the most foreign seat in the cosmos, I couldn’t resist a cell phone video of Earthset. You can hear the shutter on the Nikon as @Astro_Christina is hammering away on 3-shot brackets and capturing those exceptional Earthset photos through the 400mm lens. @AstroVicGlover was in window 3 watching with @Astro_Jeremy next to him. I could barely see the Moon through the docking hatch window but the iPhone was the perfect size to catch the view…this is uncropped, uncut with 8x zoom which is quite comparable to the view of the human eye. Enjoy.

We are pleased to share that we have successfully demonstrated the ability to increase lucidity in dreams. This critical milestone opens the door for our devices to ship soon.

@Mike_Scully_ AI

I condensed everything I know about selling AI services into one cheat sheet. - Niche selection. - Tech stack. - ROI conversations that close deals. - Objections and exactly how to handle them. Free. Just save it. If you want the full breakdown of how to go from zero to your first $10K month using this framework, drop "AI" in the comments and I'll send you the playbook. (Must follow so I can dm you)

@fivosaresti OUTBOUND

I run GTM for dozens of $10-$15M companies. Trust me when I tell you... Cold outbound is still one of the most effective B2B marketing channels. Here’s our 5-stage process for getting results with it 2026: (This ENTIRE motion can run with 1 GTM engineer and 1 sales rep) Stage 1: ICP Model & Campaign Strategy Define who you're going after: Map out all different segments by: - Firmographics - Technographics - Account fit signals Pick your campaign type: - Volume-based - Micro campaigns - Signal-based Select your plays e.g.: - Website visitor retargeting - Ad engagement - Closed-lost reopens The plays you wanna run dictate the tools you need to get. Stage 2: Account Sourcing & Stakeholder Mapping 3 methods to build your lists: - Databases: Apollo, Ocean.io, DiscoLike - Scraping: Apify, Serper, Python - Signals: Findymail, RB2B, Jungler, Fibbler, Sumble Route data to clay: - Dedupe and normalize data - Qualify companies with custom agents using ChatGPT - Source contacts with AI Ark and BetterContact Step 3: Copywriting Your message has 3 pillars: - Positioning: why you, why now - Offer: what's in it for them - Personalization: make it specific Sequences should have multiple versions per segment: - A/B test 4 variants at each step and let data pick the winner - LinkedIn messages should be shorter and more conversational Stage 4: Campaign Execution Add your leads list to: - Instantly.ai for email sequences - HeyReach.io for LinkedIn sequences Configure limits properly - deliverability is everything: - 15 emails per day per mailbox - 20 DMs per day per LinkedIn account Reverse engineer numbers based on your contact list to decide how many LinkedIn and email accounts you need. Stage 5: CRM Sync & Reporting OutboundSync x Instantly.ai x HeyReach.io: - Log all activities to CRM and create reporting - Call tasks on Nooks auto-created for reps - Slack notifications on positive replies with phone number data using BetterContact This ENTIRE motion can run with 1 GTM engineer and 1 sales rep. Even if you're not ready to hire an outbound team, you should have an automated engine running. PS Want the high res version of our outbound playbook? Comment “OUTBOUND” And I’ll DM it to you. (must be following)

i got my whole genome sequenced two years ago and forgot about it. last week i told my ai agent (@laukiantonson) to dig up my DNA files • it dug up a two-year-old email • found the download link • pulled down 67 gigabytes of raw DNA. • rented a 32-core, 64GB machine for a few hours — total cost: $5 • aligned 21 million long reads to the human reference genome — 99.83% mapped • called 5.8 million genetic variants using a two-pass neural network • phased every variant — separated maternal vs paternal inheritance • annotated all 5.8M variants against ClinVar, PharmGKB, and gnomAD • corrected for population-specific bias in the medical literature • health risk map across 39 conditions flagged in every body system • drug compatibility guide for 141 medications color-coded by genome response • nutrient metabolism - 71 variants affecting absorption of vitamins, minerals, iron • traits, ancestry going back 40,000 years, neanderthal DNA breakdown $5 in compute. 8 hours. no bioinformatician. no doctor. just one instruction. we've genuinely reached a point where an ai agent can take your raw genome and hand you back a full personal health profile in a single shot. i had no idea this was even possible.

@markoilico Please send

If you're now designing or redesigning a website, this will help you a lot. I recently curated the best hero sections, footers, social proof and other website parts because I got tired of having 15+ tabs open (even with Mobbin). Giving it away 100% free. Comment on this post, and I'll send a Figma link to your inbox!

@pbakaus Wow 👏

Introducing Radiant: 80+ production-ready shaders and visual effects for the web. 0 dependencies, MIT license. - multiple color themes - ultra-realistic simulations - webgl and 2d canvas Pick one, copy source, integrate, ship. radiant-shaders.com

Asimov v0's assembly guide is coming next week. We're also open-sourcing the full body design for Asimov v1, including everything from the actuator list to simulation assets for training. Pre-order your DIY robot kit: asimov.inc/diy-kit

how it feels using three bong hits and a cup of coffee every morning to beat the mental health epidemic while your peers mainline ssri’s and inject chinese peptides into their ballsacks

@KYGAMER93171158 @foreverinflamed @Clix @Cristiano @grok Sir 🤌

@foreverinflamed @Clix @Cristiano @grok particles.casberry.in

YO, SOME BATSHIT GENIUS JUST DROPPED AN AI PARTICLE SIMULATOR THAT TURNS YOUR LAZY-ASS PROMPTS INTO THESE OVER-THE-TOP COMPLEX VISUAL SYSTEMS —THEN LETS YOU EXPORT THE WHOLE MIND-FUCKING THING STRAIGHT INTO HTML, REACT, OR THREE.JS LIKE IT’S NO BIG DEAL!

JUST IN: Petri dish of human brain cells grown on a microchip has learned to play DOOM.

@TheMattBerman @openclaw @dataforseo RANK

I built an @openclaw agent that ranks you on Google for $50/month 😱 here’s the system that runs every week on autopilot: step 1: find your strike zone → connects to Google search console + @dataforseo → finds keywords where you're positions 5–20. one good article can push to page 1 → monitors what’s climbing and dropping weekly → feeds winners back in. every cycle is smarter than the last step 2: write content only you could write → interviews you first. 8 questions about your brand, voice, and experience → follow-up interviews every week. “what are customers asking? what shipped?” → content compounds because context compounds → google AI overview can’t summarize your real experience step 3: build backlinks automatically → mines competitor backlinks → finds sites mentioning you without linking → discovers broken links you can replace with yours → last week it found 23 unlinked brand mentions across 4 competitor sites step 4: catch technical problems before rankings drop → core web vitals, bad links, redirect chains, missing meta → flags before Google step 5: future‑proof your SEO → schema, llms.txt, topical authority mapping → the stuff agencies charge $3K+ to audit once input: your site + your niche output: an AI that discovers, writes, builds links, and tracks your rankings the old way: semrush + ahrefs + surfer + seo writers = $5,500/mo this way: @DataForSEO ($50/mo) + everything else free 5 skills. 14 scripts. gets better every cycle. open sourcing the whole system. comment RANK + like + follow (must follow so I can DM)

Pure software is rapidly becoming un-investable.