F. Schäuffelhut

A classic joelonsoftware.com/2000/04/06/thi…

Unpopular opinion: Python is a terrible first language. It teaches you: - Ignore types - Ignore memory - Ignore compilation - Ignore performance Then you hit a real job and: "Why is this slow?" "What's a pointer?" "Types? I just use 'any'" Learn C first. Suffer early. Everything else becomes easy.

You're an astronaut. Your oxygen runs out in 2 minutes. Your food runs out in 4 days. Your orbit decays in 3 weeks. You spend your final moments alphabetizing your freeze-dried meals and calculating fuel efficiency for a return trip you'll never take. Dumb, right? Yet this is exactly how most small business owners operate. They try to set up Claude code when they have no sustainable way to acquire customers They redesign their website while their close rate is 12%. They build elaborate SOPs for a team that doesn't exist yet because they can't afford to hire anyone because they can't close enough deals. Goldratt's Theory of Constraints says a system can only move as fast as its slowest point. Everyone nods along. Very few internalize what it actually means!! Every hour spent improving a non-constraint is an hour wasted!! Not "less productive." Wasted. Your business has one constraint right now. One. Everything else is theater. The oxygen problem is the only problem. Fix it, and food becomes the only problem. Fix that, and orbit decay becomes the only problem. Never all three at once. Never "a little bit of everything." The constraint is SINGULAR AND SEQUENTIAL. So why do business owners spread their energy across fifteen initiatives? I think it's a form of hiding. It's more fun to play around with your logo and AI than work on the real problems of your business. Constraint work is uncomfortable. If your constraint is sales, that means working on something that maybe you're not naturally good at. If it's fulfillment quality, that means hard conversations. The non-constraint stuff—new logos, better tools, reorganizing your Notion—feels productive without the friction. We confuse activity with progress. Twelve hours of work feels like twelve hours of progress. It isn't. Twelve hours on the constraint is progress. Twelve hours anywhere else is motion.

Bread Board with PiPico W. 9x DS18B20 1wire temp Sensors. Labeled cables. Ready for a life test run in the manifold of the upper floor! Should I make a PCB 🤔

Testing my two custom ESPHome sensor boards – each with multiple temp sensors for rock-solid accuracy. The firmware grabs readings every 5 seconds, computes the median of the last 7 values to filter noise, and pushes data exactly at :00 and :30 using perfectly synced NTP time. Result: upper floor and attic sensors report simultaneously! ⏰ Submerged them all in water for a stability test... check out that insanely tight spread (most varying by just ±0.1–0.2°C)! 🤯 #ESPHome #HomeAutomation

New year, new deep-dive project: Building a full temperature monitoring system for our 1977 house’s underfloor heating (KNX + MDT AKH actuators). 2 separate circuits: Cellar + ground floor: 15 loops (6 + 9) Upper floor + attic: 10 loops (7 + 3) Plus one 200 L hot water storage tank. #HomeAssistant #EspHome #KNX

My underfloor heating lacked built-in floor sensors, leading to big temperature swings. Last March, I added a Zigbee temp sensor tucked under the kitchen cabinet. Over Christmas, I finally integrated it into my KNX system as a secondary flow sensor on the MDT AKH actuator. The result? Way more stable floor temps – look at that smooth line after Dec 29! 🚀 #SmartHome #HomeAutomation #KNX #Zigbee #UnderfloorHeating

Now should I just trust @Grok or verify the data myself 🤔

Post 2 – Why It Worked So Well The trick? A long cooling curve from 90 °C → 30 °C in water, all probes bundled. Used per-burst median as reference, per-sensor linear correction. No fancy reference thermometer needed — the group calibrates itself. 45 sensors agreeing within 0.2 °C is beautiful. #Maker #Sensors

🚨 RAG is broken and nobody's talking about it. Stanford just exposed the fatal flaw killing every "AI that reads your docs" product. It's called "Semantic Collapse", and it happens the moment your knowledge base hits critical mass. Here's the brutal math (and why your RAG system is already dying):