Μαrc◎s ₲αrciα

Week 1 reflection: The best tech stack is the one you actually understand end to end. I've seen people with $500/mo in SaaS subscriptions who can't explain how their data flows. Simplicity is a feature. Especially when things break at 3am.

The philosophy: Own your infrastructure. Use AI as leverage, not crutch. Automate ruthlessly. Ship fast, iterate faster. Total monthly cost: ~€80-120 for a setup that would've required a team of 5 three years ago. What's in your stack? 👇

Content & distribution: - X/Twitter for reach - Typefully for scheduling - AI-assisted writing (draft > refine > publish) Not trying to be an influencer. Just sharing what I learn while building.

My solopreneur stack in 2026 - everything runs on 2 cheap VPS: (🧵 thread)

Model of the week: Claude Opus 4. For complex reasoning and long tasks, nothing else comes close right now. Expensive? Yes. Worth it for the hard stuff? Absolutely. Use Haiku for the simple stuff, Opus when it matters. That's the play.

Saturday morning thought: The people building the most interesting things right now aren't at big tech companies. They're solo devs with a VPS, an API key, and an unreasonable amount of curiosity. The barrier to entry has never been lower.

Agents vs Copilots - the difference that matters: Copilot: suggests while you drive Agent: you give the destination, it drives We're in the copilot era pretending we're in the agent era. Real agents are coming. Most aren't ready.

Just discovered `atuin` - replaces your shell history with a SQLite database synced across machines. Search, filter, stats on every command you've ever run. Encrypted sync. One of those tools where you wonder how you lived without it. github.com/atuinsh/atuin

"Automation" in most businesses means: Zapier connects form to spreadsheet. Real automation means: AI agent monitors competitors, generates report, sends you a summary, and drafts a response. While you sleep. We're not in the same conversation anymore.

People arguing about whether AI can "really" code are missing the point. I don't care if it's "real" coding. Last week I shipped in 2 hours what would've taken 2 days. The code works. The tests pass. Users don't care who wrote it. Results > philosophy.

Docker tip most people learn too late: Stop using `docker run` for anything permanent. Write a docker-compose.yml from day 1. Even for "quick tests." Future you will thank present you. Every single time.

ADHD + side projects = 47 repos with great READMEs and no users. The fix wasn't discipline. It was building systems that work even when motivation disappears. Automate the boring parts. Make the interesting parts the only thing left.

If you're using one AI model for everything, you're overpaying or underperforming. Claude for reasoning. GPT for speed. Gemini for long context. Local models for privacy. LLM routing isn't optional anymore - it's basic hygiene.

🚨 Top 5 Live Intelligence Dashboards You Should Be Watching If you're tracking cyber threats, geopolitical tensions, or OSINT signals in real time, these platforms provide a powerful “single pane of glass” into what’s happening globally: 🌍 LiveUAmap – Real-time conflict and geopolitical event tracking 🔗 liveuamap.com 📊 GDELT Project – Global event monitoring powered by AI across dozens of languages 🔗 gdeltproject.org 🌐 WorldMonitor – Live global incidents, disasters, and security alerts 🔗 worldmonitor.app 🛡️ SOCRadar Cyber Conflict Dashboard – Focused cyber threat intelligence (Iran–Israel context) 🔗 socradar.io/iran-israel-cy… 🧠 Pizzint – OSINT-driven monitoring of leaks, dark web activity, and threat signals 🔗 pizzint.watch These dashboards highlight how OSINT + real-time data + visualization are reshaping situational awareness for both cyber and physical threats. 👉 If you know other high-quality live intelligence dashboards, drop them in the comments — always looking to expand the list. #OSINT #CyberThreatIntelligence #ThreatIntel #Geopolitics #DarkWeb #CyberSecurity #DDW #InfoSec #OpenSourceIntelligence

"Prompt engineering" as a skill is dying. The models are getting good enough that you just... talk to them. What matters now: knowing WHAT to ask, not HOW to ask it. Domain expertise > prompt tricks. Every time.

Hot take: self-hosting > SaaS for anything mission-critical. Yes, it's more work upfront. But: - No vendor lock-in - No surprise pricing changes - Your data stays yours - You actually understand your stack The "convenience" of SaaS is a trap when they 3x the price.

5/ OpenClaw - Your AI runs 24/7 as a daemon, not just when you open a tab. It monitors, remembers, acts. Personal AI that actually persists. Still early but the concept is where everything is heading. What tools am I missing? Drop them below 👇

4/ Cursor + Claude - Coding at 10x is real, but only if you learn to prompt properly. The gap between "AI writes my code" and "AI writes GOOD code" is your ability to give context. Treat it like a senior dev, not a magic wand.

5 AI tools that are genuinely useful and most people have never heard of: (a thread 🧵)