Mahrukh Ijaz | AI Automation Architect

Pivot to infrastructure security, it will take a while for Claude to catch up.

@hewarsaber I tested it today. It works, but there is a lot of room for improvement. Claude is not able to translate its design into Figma properly right now.

If you're a freight broker still doing billing manually... Comment "AUTOMATE" and I'll send you a free custom plan showing exactly how BrokerFlow AI can cut your invoice time from 12 days to 24 minutes. No pitch. Just a breakdown of where you're leaking money and how to fix it.

Freight brokers spend 18+ hours a week on manual billing. Chasing PODs. Fixing invoice errors. Waiting 47 days to get paid. We built BrokerFlow AI to fix that. → Invoices generated in 24 min (not 12 days) → PODs auto-collected at 96% → DSO dropped from 47 to 32 days → 93% fewer billing errors The result? $580K+ in annual value. 1.8 month payback. Freight billing was stuck in 2005. We brought it to 2026. #FreightTech #AIAutomation #Logistics #FreightBroker

Where do you think the software services industry is headed in 2026?

@paolo_scales What about LinkedIn articles?

The 10 types of LinkedIn posts that actually book calls (and the 90% of garbage that doesn't) STOP posting GPT slop and wondering why your calendar is empty I've analyzed 2,000+ posts across 43 clients and tracked which ones generate actual pipeline Here's what converts commenters into $5-15k clients: 1. The Lead Magnet Post (The money printer) "Comment [trigger word] and I'll send you [specific resource]" Why it crushes: Turns passive scrollers into active leads - every comment = warm prospect in your DMs Example: "Comment 'checklist' and I'll send you the 67-point sales audit that landed us $340k in new deals" Conversion rate: 8-12% of commenters book calls within 30 days This is the foundation of every six-figure LinkedIn funnel 2. The Teardown/Audit Post (The authority builder) Public breakdown of a company's strategy (usually their competitor) Why it crushes: Proves you can think strategically before they ever talk to you - pre-sells your expertise Example: "Company X is leaving $2M on the table with their LinkedIn strategy - here's exactly what I'd fix in 90 days" The exec team sees it, realizes you understand their market, slides into your DMs 3. The Specific Number Post (The pattern interrupt) Big outcome with hyper-specific metrics that stop the scroll Why it crushes: Specificity = credibility - "I made money" gets ignored, "I closed $143,247 in 94 days" gets engagement Example: "Turned 387 LinkedIn comments into $143k in closed revenue without a single cold email" Vague numbers = fake, specific numbers = real (even if both could be bullshit) 4. The Controversial Take (The engagement hack) Polarizing opinion that makes people pick a side in the comments Why it crushes: Algorithm rewards comments above all else - controversy = comments = reach = leads Example: "LinkedIn 'experts' getting 10k likes are making $0. I get 200 comments and close $30k/mo. Engagement is a vanity metric." Warning: Only works if you can defend your take - otherwise you look stupid 5. The Behind-The-Scenes Post (The trust builder) Show your actual work, processes, tools, or systems in action Why it crushes: Pulls back the curtain and makes people think "I need someone who knows this shit" Example: Photos of your dashboard, Loom walkthrough of your process, screenshot of client results with timestamps Works because most people just talk - showing proof separates you instantly 6. The Listicle/Framework Post (The value bomb) Numbered list breaking down a process, mistakes, or insights Why it crushes: Easy to consume, highly shareable, positions you as the expert who's "figured it out" Example: "7 DM sequences that convert 40% of cold outreach into booked calls" Formats well on LinkedIn, gets saved/shared more than any other post type 7. The Case Study Post (The social proof play) Client results with specific before/after metrics and the exact process Why it crushes: Answers "does this actually work?" before they even ask - removes all doubt Example: "Client went from 12 followers to 47 booked calls in 8 weeks - here's the exact system we built" Include screenshots, testimonials, specific timeline - the more proof the better 8. The Personal Story Post (The relatability angle) Your origin story, failure, lesson learned - something human that builds connection Why it crushes: People buy from people they like - vulnerability creates trust faster than credentials Example: "My first LinkedIn post got 3 likes. 2 were from my mom. Here's what changed in 90 days..." Don't overuse this - one personal story per 10 value posts or you become the therapy account 9. The "Unknown Opportunity" Post (The gold rush trigger) Expose a market, platform, or strategy most people don't know about yet Why it crushes: FOMO + "I should jump on this now" = immediate DMs asking how to get started Example: "Nobody's talking about [specific niche] on LinkedIn but there's $2M/year sitting there untapped" Works best when you can prove you're already doing it successfully 10. The Myth-Busting Post (The contrarian educator) Call out common advice/beliefs in your niche and explain why it's wrong Why it crushes: Challenges their current approach, makes them question if they're doing it wrong, positions you as the guide Example: "Everyone says post 5x/week on LinkedIn. That's why you're getting zero leads. Here's what actually works..." Format: "Most people think X / But actually Y / Here's why" What DOESN'T work (and why 90% of LinkedIn is a wasteland): - Motivational quotes with no call-to-action - nice dopamine, zero pipeline - "Agree?" engagement bait - algorithm now punishes this - Reposted articles with no commentary - you're not adding value - Corporate jargon announcements - nobody cares about your "excited to announce" - Humble brags disguised as lessons - "grateful for this journey" bullshit The posts that actually convert on the other hand... They solve a specific problem your ICP has RIGHT NOW They include a clear next step (comment, DM, click link) They demonstrate expertise through proof, not claims They make scrollers think "I need to talk to this person" The people making $100k+/mo from this platform aren't posting inspiration They're posting lead magnets, case studies, and teardowns on a loop Because those are the only post types that turn scrollers into buyers

5 Things We Learned Building AI Voice Agents for Real Customers linkedin.com/pulse/5-things…

@TrailerBridge This resonates. The toughest part of leading through uncertainty isn't making the big calls - it's maintaining consistency in the small things while everything feels chaotic. That's what actually builds the trust you need when you come out the other side.

Trailer Bridge CEO Mitch Luciano reflects on a year that tested leadership and resilience. From tough strategic decisions to moments of real uncertainty, Mitch breaks down what challenged him most & the leadership insights that changed how he shows up: hubs.li/Q03Zbk6G0

What a crazy 2025 it has been. 12 months ago, Quixas was a lean automation company laying the foundation. Since then: → Took the biggest bet on our growth and it paid off → Went all-in on Agentic AI before it was mainstream → Moved from “build software” to “build leverage” → Helped founders kill manual ops across finance, ops, research, and product → Delivered voice AI systems that talk to customers 24/7 → Scaled Quixas Technology to serve US and EU clients 2026 is looking insane. Enterprise clients are knocking. Multi-agent orchestration is becoming the standard. Voice AI is exploding. I can’t wait for what’s next. But one thing remains crystal clear. Our mission. Too many companies are bleeding time and money on manual processes. We help businesses automate what slows them down. We build AI systems that actually work in production, not demos. We’re just getting started.

@zanehengsperger Zane, you’re absolutely crushing it. So proud of you! 👏

What a crazy 2025 it has been >under 6 months ago get into YC/start nox same day >open factory in Detroit >buy saw >buy material >supply a few shops >those shops ask for more metal >more shops ask for metal >build software to kill the mundane work by 5x >pull some late nights cutting tons of metal >grind to our first revenue goal >have large competitor try to cut off our supply >then triple that revenue in the last 4 weeks 2026 & 2027 are looking so exciting. Almost doubling our team size in Jan-Feb. Automation is going to make us so much faster and cheaper with less downtime. Software and AI is doing the same. I can't wait for what's next. One thing remains insanely clear which is our mission. We want to make American manufacturers more cost competitive and much faster. Too much of the cost and time of metals is caught up in service centers. Over $100B of metals goes through service centers ea year in the US. If you want to join our team. DM me.

Fleet managers: Stop burning money on manual operations. The problem: → Dispatchers firefighting all day → Drivers guessing ETAs → Fuel costs 12% higher than they should be → Breakdowns you didn't see coming → Customers asking "where's my delivery?" The solution: Unified fleet management system with real-time GPS, route optimization, predictive maintenance, and customer portal. Real results: 45-truck fleet saved $280K/year - Fuel: ↓ 12% - Breakdowns: ↓ 75% - Admin time: ↓ 65% Managing 20+ vehicles? Comment "FLEET" for assessment.

@jaiyagill Same here 👋 woman in AI startups checking in

i love seeing women in male dominated fields (ai startups)

@djcows This broker is not passing the vibe check

excellent, i'll take it

You didn’t start a travel business to spend 15 hours a week in a spreadsheet. 🏝️ The image on the left is the "Manual Trap." It’s where growth goes to die. ❌ Manually syncing bookings from 3 different platforms. ❌ Copy-pasting lead data into CRMs. ❌ Sending confirmation emails at 2 AM. The image on the right is "Automated Growth". It’s where you focus on high-level strategy and luxury service while the systems handle the "grunt work." How we move you from the left to the right: → 24/7 Autonomous Bookings: Payments and confirmations handled while you're offline. → Instant Lead Triage: AI agents qualify inquiries in seconds so you never miss a high-value traveler. → Multi-Channel Sync: Real-time inventory updates across all platforms to prevent double-booking. → Smart Onboarding: Automated collection of passports and details via custom portals. → Agentic Support: AI handles 70% of repetitive FAQs about itineraries and visas. Stop reporting on history. Start acting on NOW. I’ve put together a "Travel Automation Roadmap" specifically for agencies doing $1M+ in bookings. It breaks down the exact 3-step workflow we use to reclaim 20+ hours a week for founders. Want a copy? Comment "LEISURE" below, and I’ll DM you the PDF blueprint for free. 🚀

A day in my life as a tech founder turning ideas into AI-powered systems!

@gregisenberg I see it as a shift from task automation to decision automation. n8n orchestrates systems. Claude skills orchestrate reasoning. That’s where the real compounding value is.

claude skills are the new n8n workflows but actually way more valuable

Your data is lying to you. Not because it's wrong, but because it's scattered. A retail exec I spoke with was making inventory decisions based on reports that were 3 days old. Meanwhile, their real-time sales dashboard showed different numbers than their finance team's monthly reconciliation. Same company. Same transactions. Three different "truths." This isn't a tech problem. It's a visibility problem. When your sales data lives in one system, inventory in another, and customer insights in a third, you're not making decisions. You're making guesses. The fix isn't buying another dashboard. It's building a foundation where data flows into one place, speaks the same language, and updates in real time. That's when reporting stops being a scramble and starts being a strategic advantage. If your team spends more time reconciling reports than acting on them, comment "UNIFIED" and let's talk about what unified data actually looks like.

Every business has 5–10 questions asked 100+ times a week. • “What’s the procedure for X at Location Y?” • “How do I handle this customer situation?” • “Where’s the form or brand asset?” • “What’s the recipe, temp, or policy?” These aren’t bad questions. They’re signs of growth. Before automation: → Employee asks manager → Manager pauses real work to explain → Same question repeats all week → Experience gets spent on repetition After automation: → Employee asks AI assistant → Gets instant, consistent answer with source → Managers stay focused on coaching, decisions, and edge cases → Teams learn faster and work more independently Automation doesn’t replace people. It protects their time and attention. Comment “QUESTIONS” for a free audit of your current system to: → Identify your most repeated questions → Spot real automation opportunities → See if it’s even worth automating (honest take)