Paul Beregovich

Something is fundamentally broken with the flight network

@Delay_Market_ Sounds like we are heading to a major flight crisis

European flight delays summary 15 April 2026: ≈1,600–1,700 delayed flights across major European airports Notable trends: Major hub congestion: Airports like Paris Charles de Gaulle (~349 delays) and Barcelona (~266 delays) were among the worst affected. Clustered disruption in key countries: The UK, France, Spain, and the Netherlands saw concentrated delays, indicating network-wide ripple effects rather than isolated incidents. Operational strain factors:High traffic volumes at major hubs Ongoing staffing and airspace constraints Spillover effects between interconnected airports Local bottlenecks: Individual airports (e.g., Heathrow, Schiphol) reported triple-digit delays, reinforcing that disruption was driven by hub saturation rather than a single event. Summary: Europe experienced moderate-to-heavy disruption yesterday, with delays concentrated at major hubs and cascading across the network rather than caused by one single incident. delay.market #DelayMarket #FlightDelays #Aviation #AirTraffic #Airlines #TravelDisruptions

@Delay_Market_ This is a great idea. Is it free to play?

✈️ Lufthansa Strike Update: 4 Days of Chaos ✈️ The back-to-back strikes by pilots (VC) and cabin crew (UFO) have grounded 80–90% of Lufthansa's fleet this week. 📍 The Damage: 3,400+ flights canceled since Monday. 150,000+ passengers stranded. Hubs in Frankfurt and Munich are at a standstill. While others are waiting for compensation, you could be cashing in. Put your market instincts to the test! Play the delay.market trading game. Predict the ripple effects of these strikes and turn operational delays into your next big profit. Ready to trade the chaos? 🔗 delay.market #LufthansaStrike #Lufthansa #FlightDelay #AviationDaily #TradingGame #ProfitFromDelays #DelayMarket

@DanBilzerian Are you not? Lol

The government of Israel listed me as the #1 Antisemitic influencer in the world. We are so fucking back!

IBM says AI cut brownfield migration time by 50%. Fujitsu ran their own POC and got 20%. The distance between a vendor case study and your actual project is where budgets go to die.

@f1tym1 Nobody wants to fix it because fixing it means production downtime. And downtime costs more per hour than the breach they're betting won't happen. The math is wrong but the incentive structure makes it rational.

The OT security time bomb: Why legacy industrial systems are the biggest cyber risk nobody wants to fix ift.tt/xDZY6gb When I first secured a production line, part of the control system was still running on an unpatched Windows XP machine tucked under a lab table — r…

@GISEd The hard part of that migration wasn't picking ArcGIS. It was getting 20 years of facility data out of the old CAFM in a format that still made sense. The tool choice is the easy decision.

University of Rhode Island moved from a legacy CAFM system to ArcGIS Indoors and built a scalable enterprise GIS to power public safety, facilities, campus mapping, and more. Read how they did it 👉 ow.ly/ZCCR50Yryki

The "just rewrite it" conversation is always 20 minutes long. The actual rewrite is always 18 months, two missed deadlines, and a feature freeze nobody agreed to.

$100K deployment cost for AI predictive maintenance sounds accessible until you add the integration work, data cleanup, and change management nobody quoted. The tool got cheaper. The hard part didn't.

@irvinxyz "Filled their technical debt" is doing heroic work here. Nobody fills technical debt. You just pick which parts to live with and which ones will kill you first.

4/ The wave after would then likely focus on leveraging existing supply chain and manufacturing from Asia — rebranding existing products or doubling down on open source projects. At this stage, these teams would most likely have filled their technical debt and be able to execute

2/ So then you have to actually find the people who can do this type of low-level programming or hardware development, and who are willing to be part of that Web3 ponzi — but, this is tough because most of those folks dislike Web3 and most are hardcore into OSS.

@fogoros Mostly agree but removing the PLC assumes your safety logic can live in the drive. It can't, not at SIL 2+. The iron stays, but so does the safety PLC. Software-defined works for process logic, not for the stuff that keeps people alive.

You don't need new machines to run a modern factory. Software-defined automation lets you remove the physical PLC and run the control logic directly in the motor drives. Keep the 30-year-old iron, but give it a 2026 nervous system. That’s how you get AI-ready without the $10M teardown. #smartManufacturing

98% of manufacturers exploring AI. 20% ready to actually run it. The other 78% have fragmented data, legacy PLCs, and no plan. That's not an AI problem.

GAO called out 10 critical federal IT systems in 2020. 7 still untouched in 2026. At some point you have to admit the blockers aren't technical. Nobody wants to own the outcome when things go wrong.

Brownfield sites for data centers makes sense until you hit the remediation costs. Seen enough contaminated industrial land to know: the cleanup timeline alone will lose the AI race they're worried about.

@housecor Copy/paste avoids changing old code but now you've got two copies of every bug. The risk just moved, it didn't disappear. Isolation is the right instinct though - just use it at the boundary, not the file level.

Feature flag pattern: When replacing an old feature with a new feature via a feature flag, avoid changing the old code. Why? Because changing the old code introduces risk. Instead: Create new files. Copy/paste from the old code if needed. Later, when you know the new feature works, you can easily delete the old code - it's low-risk because it's completely separate from the new code. Summary: Maintain clear separation. Optimize for deletion.

@yimbyalliance Brownfield done right. Hardest part won't be the build - it'll be the remediation nobody sees. Same in software, same in land. The unglamorous work under the surface is what determines if it holds up.

🗺️Plans submitted for a NEW ‘island district’ in Manchester! If approved, Pomona Island, a brownfield site next to the Pomona Metrolink Station, will be transformed into: 🏡2,600 new homes 🏞️Green spaces and parks 🏃Sports facilities 🤝Community infrastructure BEFORE & AFTER

Every new dev tool promises to make your brownfield codebase manageable. None of them have ever touched a 300-table Oracle schema with no ERD.

Predictive maintenance adoption dropped in 2025. Alert fatigue. Systems crying wolf 50 times a day until the maintenance team stops looking. More sensors didn't fix that. More sensors caused it.

@mattdykema Missing one: faster discovery of why that one machine does something weird every third shift that nobody's documented. That's usually the actual bottleneck.

Manufacturing isn’t just about cutting metal!! It’s about removing constraints: • Faster programming • Faster FAI • Faster setups • Faster cycle times • Faster training • Faster RFQs • Faster shipping Speed compounds. The shops that win eliminate friction at every step.

@zanehengsperger Biggest risk is the buyer thinks they're acquiring equipment and customers. They're actually acquiring undocumented processes, tribal knowledge, and 30 years of "it works don't touch it." Due diligence doesn't cover that.

there's a huge opportunity in reindustrialization through existing manufacturing infrastructure (mainly SMB factories), not just startups the succession problem (owners retiring very soon) has created a natural entry point for the next generation of industrial operators to support the industrial base bonus on how easy it is to implement/the abundance of technologies compared to any other moment in time as manufacturing grows domestically, the infrastructure for factories will need to keep up... right now it is declining domestically think metal suppliers, fabricators, machine shops, logistics, machine maintenance, domestic components manufacturing, machine manufacturers, rapid prototyping, workforce development... to name a few it cant all be startups, there simply isnt enough capital or generational founders. also very high risk go visit your local shop and see the opportunity for yourself. employment or acquisition are strong options note: there should and will be more manufacturing startups and people should look to work at these companies and create them. all I am saying is that it cant be all startup focused which seems to be where the narrative lives on X