Don’t really understand why people subscribe to StockOracle and make investing look so complicated. Today, ChatGPT can already handle most of the heavy lifting for research and analysis. The problem is some people focus too much on churned-out numbers and spreadsheet models — tweaking Excel cells until the outcome matches what they already want to believe. That’s not investing, that’s just fitting the narrative to the conclusion.

Muthu boy research report — Saturday prata shop closed for the day, apron off, flipping charts instead of prata. Today, instead of serving kosong and egg, I sit down and dig into this company called Everpure (formerly Pure Storage). Confirmed early 2026 rebrand story, but the core business still same beast: high-performance all-flash enterprise storage, software-defined data platform, and subscription-based services targeting AI, cloud, and database workloads. 🔍 What Muthu boy found (verified, not kopi tiam rumours) Everpure is basically a “no more HDD era” play — they push full flash storage systems using premium NAND from Samsung and SK Hynix, plus their own controllers and flash modules (DFM architecture). Instead of legacy storage bolted onto old HDD thinking, they run a vertically int

This looks positive for $Hims & Hers Health Inc.(HIMS)$   HIMS came under pressure after Marty Makary’s FDA crackdown on compounded GLP-1s. The February 2026 announcement targeted mass-marketed compounded versions sold by firms like Hims over safety and quality concerns, triggering a sharp selloff and raising pressure on the company’s core telehealth and compounding business model. With his removal, the market may start pricing in the possibility of lighter enforcement on compounding and telehealth services — an area that remains central to HIMS’ competitive positioning against and . Near term, sentiment could turn more bullish if investors believe regulatory risks may ease.

PM Wong recounting the evacuation of Singaporeans (and others) from Israel via a Republic of Singapore Air Force (RSAF) flight during the conflict. The 2 minutes of tears are for the cameras, but the anxiety is for the citizens.  We are told to 'upskill' and 'stay relevant' while the cost of living hits record highs and AI looms and new arrivals are coming  over for our rice bowls. 'Protecting workers' is just a slogan if we can’t afford to live in the city we’re working in. Stop monitoring and start mitigating the real costs. I propose the immediate formation of a High-Level Steering Committee to oversee the ongoing monitoring of our monitoring framework. We must ensure our 'wait-and-see' approach is being executed with maximum efficiency We don't need a PM who feels o

Everyone is chasing AXTI… but almost no one is looking at the tiny companies quietly powering it. Let me show you one that’s hiding in plain sight 👇 $M7U (Nynomic AG) isn’t some flashy AI name. It’s a German micro-cap, deep in the photonics supply chain — the kind of company most investors never even hear about. But here’s where it gets interesting. AI datacenters run on fiber optics — that’s how data moves between chips at insane speeds. And those fiber components? They’re made using ultra-specialized machines from AIXTRON, which controls ~90% of this niche. Now here’s the kicker: Nynomic owns LayTec — the company that makes the sensors inside those machines. These sensors monitor production in real time. Without them, yields collapse. No sensors = no efficiency. No efficiency = no scalin

$ServiceNow(NOW)$   Take a second and look at this chart. IPO’d June 2012 → $2B market cap. 5 years later → 10x at $20B. Jan 2025 peak → $220B (100x from IPO). Then… April 23, 2026 Q1 earnings → -18% in ONE day (biggest drop in history). As of Friday’s close: $93B market cap. Down 43% YTD. Down 57% from peak. $125B+ of market value evaporated. But here’s what actually happened: ✅ 22% subscription revenue growth ✅ Beat + raised full-year guidance ✅ $4B cash pile ✅ 97% renewal rate (5 straight quarters) ✅ Fastest enterprise software company EVER to hit $15B revenue ✅ $1.5B annual run-rate pure AI revenue just 19 months into their AI strategy The market didn’t read the wrong earnings release. It read the right numbe