Ape Max

🚨 Now This Is Very Serious... !!! Ex-ISRO Scientist Alleges Missile Data Leak, Says He Was Framed After Refusing to Join Spy Network ⚠️ A former Vikram Sarabhai Space Centre (VSSC) engineer has made explosive allegations, claiming he witnessed a sensitive missile-related data leak and was later targeted, abducted, and falsely jailed after refusing to be part of it. 📌 According to his claims: > He allegedly saw DRDO’s AD-1 missile test data, generated during work at VSSC, being leaked to a foreign-linked spy network via Dubai/UAE 👉 He says that after he refused to cooperate: > He was allegedly picked up at night, tortured, and booked under serious criminal charges > He claims those cases later collapsed in court, but says his life and career were already destroyed 👉 He has also alleged that: > He was later suspended without a proper internal probe > And is now being portrayed as mentally unstable to discredit his testimony The former scientist has publicly compared his ordeal to the Nambi Narayanan case, and is demanding an independent NIA-level investigation. 👉 If these allegations are true, this is not just a personal grievance... it could point to a deeply disturbing breach inside one of India’s most sensitive scientific ecosystems... ⚠️ 📌 Follow @_TheTathya for more such updates.

₿REAKING: Jack Dorsey’s technology company @Blocks announced today a new ‘bitcoin faucet’ website btc.day that goes live on April 6. The original in 2010, gave away five bitcoins to every site visitor promoting education, that would be $350,000 today.

The older I get, the more I realize intelligence is overrated. Intelligent people are more likely to overthink, overplan, and overanalyze. They hide behind motion that doesn't create progress. They fear the judgment of others if they're proven wrong. The truth is that intelligence is abundant. Courage is not. The people you admire are the ones who had the courage to act. They aren’t more talented than you. They aren’t smarter than you. They just took action when you didn’t. I often wonder how many extraordinary people wasted their entire lives waiting for permission that never came. Permission isn't granted. It's taken. You get to tap yourself in whenever you want. You can just do things. Courage beats intelligence.

I had dinner once with a top physicist and a top computer scientist and asked what they thought the probability was that we were in a simulation. They answered simultaneously at 0% and 100% respectively. It was like a double-slit experiment, but with humans.

Nobody tells you this: Dopamine from information gathering is a dangerous drug. It’s the dopamine from reading, planning, or learning, but never doing. Stop looking for more information and start acting on the information you already have. Get your dopamine from action.

Bill Ackman literally gave a 44-minute masterclass that explains money better than any business school:

This paragraph from Carl Jung hits so hard. “The world is full of people suffering from the effects of their own unlived life. They become bitter, critical, or rigid, not because the world is cruel to them, but because they have betrayed their own inner possibilities. The artist who never makes art becomes cynical about those who do. The lover who never risks loving mocks romance. The thinker who never commits to a philosophy sneers at belief itself. And yet, all of them suffer, because deep down they know: the life they mock is the life they were meant to live.”

Electricity output is the single best proxy for industrial capacity

Since 2011: - If you did a 10K monthly SIP Nasdaq, it became: 81L - If you did 10k monthly SIP on Nifty 50, it only became: 43L NASDAQ has grown at 16.5% CAGR. BUT, Indian NIFTY-50 has growth at 10.5% CAGR (in USD terms). Two defenses are thrown:- 1) Why we need to look at returns in USD? A) Because we need to compare things to 1 benchmark. Either convert Nasdaq to INR or Nifty to USD returns. 2) Why are you comparing Nasdaq to Nifty 50? A) Because if an Indian invests abroad: he/she likely to pick Google, Amazon etc. Not things like Teladoc etc. Long-term investing is done in growth assets. I am not saying that we don't have growth assets in India, but the choices are fewer. Hence, Indian investors should have at least 50%+ portfolio allocation abroad. More choices, better growth, and higher quality firms. And, yes it is legal.

This actually works in Teslas right now

Silver will OUTPERFORM Bitcoin. Here’s why. 👇

If I add my options income, stock market profits, dividends this year: I made over 1Mn$ this year in pure profits. Here are a few things that I realized after investing aggressively in the US markets in 2025:- 1) Indian markets are rigged against retail guys. Let me give you an example:- 2) Let's say you have 500K USD portfolio in the US. You can sell covered calls (and make 8-12%) returns just through calls. The margin requirements is low/zero 3) However, when you try to do the same in the India market: the margin requirements are extensive. 4) With larger margin requirements, this systematically kills your returns. 5) Also the surprising part is that if you are a Singapore, UAE, US, XYZ country resident, you can deal with US options (no restrictions). But, somehow Indian residents are blocked from dealing with US options under FEMA. 6) In India, there is serious dearth of investable options. Please note: I am not criticizing the Indian market. Indian market is good. I am just talking about the lack of investable options. 7) Consider Zomato. A very good company: I myself invested. And, made excellent money on it. However, the PE now is 1350. This is insane. In India, if a company is growing. And, it kind of becomes a monopoly-- everyone runs to chase it. This bloats the valuation to the point it becomes un-investable. Now, if we had 100 such options in the Indian market, it would be easy to rotate capital. Unfortunately, we don't have so money such options. 8) So right from Mutual Funds to retail, keep chasing the same set of "overvalued" stocks. And, keep pushing the valuations high. At half the risk in the US, you can pretty much make 2X gains. Example: Indian small and mid-caps baseline returns are around 20-22% in INR terms (in USD terms, this would be 18%). Nasdaq Composite grew at 17% CAGR in USD terms in the last 10 years. This comes literally at half the risk of small and mid-caps in India. 9) In the US, investors invest in Global Equities. They diversify. Example: Vanguard Total World Stock ETF. This is a structured product via which you can invest. As Indians, we have no interest in Global investing. We keep paying a premium for a forward looking India growth story. 10) The entire junta has been made to forget that diversification is the #1 basic rule of investing. And, diversification does not mean: spreading your money across 5 domestic funds. This adds close to 0 value. If the same 5 domestic funds keep chasing the same set of 20-30 overvalued firms, the returns added are marginal. Diversification means that you spread your bets across: geographies, asset classes and currencies. 10) However, right from - Options trading in foreign markets, - To flow of capital restrictions; - Free float of currency etc, 100 restrictions have been put on Retail. Why? Because we are a special country with special rules designed to keep retail investors poor.

INR continues to fall. In the next 3 years, it will go to 100 (to 1USD). This is a very very likely scenario. What can you do? 1) Buy gold? But, it is at a high. You could go sideways. 2) Convert INR to BTC (its volatile). If you are okay with the risk. 3) Convert INR to a real estate ( buy land, villa); avoid overvalued stuff 4) Earn in USD (if you can) 5) Invest in US stocks (automatically your money gets converted to a US denominated asset). This is probably the simplest option. 6) Change tax residency. Move base. This requires effort, planning and large capital base. Don't just simply wait and watch. Do something.

Bitcoin vs Gold. @cz_binance just destroyed @PeterSchiff in a debate about which store of value will be more valuable over time.

How to make money from stock markets:- 1) Move 50%+ capital to the US Markets. 2) Invest only in firms that are growing more than 20%+ CAGR 3) Buy these firms only when they are at least 15% down from peak. 4) Buy in 3 tranches (eg. NVIDIA right now is 15% down from peak). Buy 33/100 units of your intended buy now 5) Sell a Put Option (for your 2nd tranche). Make income. 6) If your stock goes to an all time high. Sell a covered call 15% out of money. Make income. 7) Collect 20-40 high quality stocks. 8) Pay 0% commissions. 9) Do the same on Indexes: if the Index is 5% down from the top, stay 50%+ invested. 10) If it goes down 10% from peak, stay 90% invested. 11) If the market goes at time high and above, stay 20% cash. 12) Rotate capital. No need to pay anything to "course sellers" like me. Or fund managers, who are SIP salesman. Learn to manage your own money. Compound your knowledge. Growth your wealth.

🚨 INDIA'S NEW RENT RULES 2025. 1. Landlords cannot charge more than two months’ rent as a deposit. 2. Tenants cannot be forced out without a clear legal process. 3. All rental agreements must now be digitally stamped and registered online within 60 days. 4. A landlord can revise the rent only after 12 months and must give a written notice at least 90 days before the increase. 5. A landlord must give a written notice at least 24 hours before entering the property for inspection or repairs. 6. If a vital repair is needed, the tenant must inform the landlord. If there’s no action in 30 days, the tenant can fix it themselves and deduct the cost from the rent. 7. Any action like changing locks, shutting off electricity or water, or threatening the tenant is now punishable.

@Delhiite_ > Take 4cr loan from SBI > Shift to London

@theRealKiyosaki That 21 million number is the entire thesis. A crash doesn't change the math or the supply cap. It just puts absolute scarcity on sale. The real cashflow is front-running the panic when everyone else is forced to learn that lesson the hard way.

AI is changing how much different jobs are worth , according to Sam Altman. If your job mainly involves sitting at a computer - like coding, design, or writing - AI can now do a lot of that work super quickly, these will make these jobs less valuable. It's much easier for AI to take over work that's mostly about using your brain and knowledge. But jobs where you need to be physically present and use your hands - like plumbers, electricians, surgeons, or people managing shipping and delivery - are safer. AI just isn't good at doing physical stuff yet. This is creating an interesting flip. Jobs that used to be seen as prestigious because they needed lots of brain power might become less special since AI can do them so fast. Meanwhile, jobs that need you to be there in person or use physical skills are becoming more valuable. AI is changing how we are starting to think differently about work that's done on computers. It's just easier for AI to copy and do digital work than real-world tasks where you need to interact with people or things. Now, instead of asking "how good are you at computer work?" we're starting to ask "what can you actually make or fix?" This changes how people think about their skills. This isn't just about jobs - it's about how people find meaning in their work. As AI takes over more of the brain work that people used to find challenging and rewarding, folks might find more satisfaction in hands-on, physical work.

Satya just told you the entire AI trade thesis is wrong and nobody is repricing anything. Microsoft has racks of H100s collecting dust because they literally cannot plug them in. Not "won't," cannot. The power infrastructure does not exist. Which means every analyst model that's been pricing these companies on chip purchases and GPU count is fundamentally broken. You're valuing the wrong constraint. The bottleneck already moved and the market is still trading like it's 2023. This rewrites the entire capex equation. When $MSFT buys $50B of Nvidia GPUs, the Street celebrates it as "AI investment" and bids up both stocks. But if half those chips sit unpowered for 18 months, the ROI timeline collapses. Every quarter a GPU sits in a dark rack is a quarter it's not generating revenue while simultaneously depreciating in performance relative to whatever Nvidia ships next. You're paying data center construction costs and chip depreciation with zero offset. The players who actually win this are whoever locked in power purchase agreements 3-4 years ago when nobody was thinking about hundreds of megawatts for inference clusters. The hyperscalers who moved early on utility partnerships or built their own generation capacity have structural leverage that cannot be replicated on any reasonable timeframe. You can order 100,000 GPUs and get delivery in 6 months. You cannot order 500 megawatts and get it online in 6 months. That takes years of permitting, construction, grid connection, and regulatory approval. Satya's point about not wanting to overbuy one GPU generation is the second critical insight everyone is missing. Nvidia's release cycle compressed from 2+ years to basically annual. Which means a GPU purchased today has maybe 12-18 months of performance leadership before it's outdated. If you can't deploy it immediately, you're buying an asset that's already depreciating against future products before it earns anything. The gap between purchase and deployment is now expensive in a way it wasn't when Moore's Law was slower. The refresh cycle compression also means whoever can deploy fastest captures disproportionate value. If you can energize new capacity in 6 months vs 24 months, you get 18 extra months of premium inference pricing before competitors catch up. Speed to deployment is now a direct multiplier on chip purchase ROI, which means the vertically integrated players with their own power and real estate can move faster than anyone relying on third party data centers or utility hookups. What makes this really interesting is it changes the competitive moat structure completely. The old moat was model quality and algorithm improvements. The new moat is physical infrastructure and energy access. You can train a better model in 6 months. You cannot build a powered data center in 6 months. This is the kind of constraint that persists for years and creates durable separation between winners and losers.