Yash

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[Yash @arpas]

तू अपनी खूबियां ढूंढ,
कमियां निकालने के लिए लोग हैं ना

अगर रखना ही है कदम तो आगे रख,
पीछे खींचने के लिए लोग हैं ना

सपने देखने ही है तो ऊंचे देख,
निचा दिखाने के लिए लोग हैं ना

अपने अंदर जुनून की चिंगारी भड़का,
जलने के लिए लोग हैं ना

#UnknownAuthor

[Yash @arpas]

@Pixel_Stripes Masai Mara was a memorable experience. Thank you for organizing our trip.

[Malay Krishna @Malay4Product]

Let me explain what just happened today because it deserves so much recognition.

GalaxEye is a Bengaluru startup founded in 2021 by IIT Madras engineers. Today they launched Mission Drishti on a SpaceX Falcon 9. It is India's largest privately built satellite at 190 kg. And it carries a technology that no commercial satellite has ever carried before.

Normal satellites take photos of the Earth using optical cameras. Like your phone camera, but from 500 km up. The problem is obvious. Clouds. Night. Fog. Smoke. If any of these are in the way, the photo is useless. India has monsoon cover for 4 months a year. That is 4 months where optical satellites are partially or fully blind over large parts of the country.

The alternative is SAR. Synthetic Aperture Radar. Instead of taking photos with light, it sends radar waves down and reads what bounces back. Radar goes through clouds, through darkness, through smoke. A SAR satellite can image a flooded village at 2 AM during a cyclone when no optical satellite can see anything.

The problem with SAR is that the images look nothing like photos. They look like grainy black-and-white radar maps. A military analyst or a trained geospatial engineer can read them. A farmer, a disaster response team, or a city planner cannot.

Until today, if you wanted both optical and SAR data for the same location, you needed two different satellites, passing over at different times, at different angles. Then someone had to manually align and fuse the two datasets. Expensive, slow, and the data never perfectly matched because the satellites saw the same spot minutes or hours apart.

GalaxEye put both sensors on one satellite. Optical and SAR, fused into what they call OptoSAR. Three times more information than a single sensor. Processed onboard by an NVIDIA AI chip at 1.8 metre resolution.

Now in practice, during the next cyclone hitting Odisha, one satellite pass gives you a clear image of which villages are flooded, which roads are cut, and which buildings are standing. Day or night. Cloud or clear. In near real-time.

For defence, it means you can monitor a border area 24/7 regardless of weather. For agriculture, it means tracking crop health across an entire monsoon season without a single cloud gap. For infrastructure, it means monitoring construction progress on highways and bridges without waiting for a clear day.

GalaxEye tested their SAR tech on ISRO's POEM orbital platform. The satellite was tested at ISRO facilities. IN-SPACe provided regulatory clearance. NSIL, ISRO's commercial arm, will distribute the imagery globally. And it launched on SpaceX because ISRO's PSLV doesn't have the right orbit slot for this mission.

Yes, four IIT Madras graduates built a world-first satellite in 4 years in Bengaluru.

Take a bow!

[Rahul Gandhi @RahulGandhi]

Muthu ji, your political views are your own - but please do speed up the returns on my investments. 😃

[Ram @ramprasad_c]

You can get a good banana anywhere in the world. Good strawberries, good apples, good peaches, good melons, good grapes. Walk into a grocery store in Tokyo, London, Sao Paulo, or Stockholm and you will find perfectly decent versions of these fruits. They travel well. They grow in many climates.

But a good mango? That is only India. I don't mean a mango-shaped fruit. South America grows those. Florida grows those. They look like mangoes. They smell like mangoes. They are not mangoes. Technically the same category. Practically a totally different experience.

The word itself tells the story. "Mango" entered English through Portuguese, who borrowed it from Tamil and Malayalam. Every language that uses this word borrowed it from India because that is where the fruit comes from. Even the scientific name, Mangifera indica, literally translates to "the plant that bears mangoes, from India." Over 1,500 varieties. Alphonso, Kesar, Banganapalli, Dasheri, Langra, Himsagar. Each one specific to a region, a soil, a microclimate. You cannot replicate that. My Dad put up a mango farm in Andhra, South India and planted Alphonso variety. Not the same as the ones from Ratnagiri in West India.

There is a lot of talk about increasing mango trade from India to the US. If it materializes, the prices in India could shoot up, Don't think Indians are dying to export mangos. It is not the most predictable crop anyway.

[Neil Borate @ActusDei]

Most people don't know there's a right order to file health insurance claims when you have multiple policies.
Getting it wrong = leaving money on the table.
Here's how to do it:
1. Start with the policy that covers your hospital (best network, fewest exclusions). Employer group cover usually goes first.
2. Collect Form-64 (Claim Settlement Summary) from insurer #1. This is your proof for the next claim.
3. Use Form-64 + remaining docs to claim the unpaid balance from insurer #2.
For multiple individual policies, the order matters too: — Claim first from the policy where NCB is low — Keep the unlimited restoration policy for last — Keep the zero co-pay policy for last
One ₹70L claim, ₹0 out of pocket — entirely possible if you stack a group cover + individual plan + super top-up correctly.
Full breakdown in the infographic and story by @PuranikIra https://t.co/2IMTziBi4P

[Yash @arpas]

@chiragbarjatya All the best!

[Yash @arpas]

Specify the role you want the Al to assume.

Hit like when you spot it.

[Dhaval (Investment Books) @InvestmentBook1]

8 ChatGPT Prompt Frameworks

[Yash @arpas]

Badhai ho @sukant9993

[Sukant Kadam @sukant9993]

World Champion 🏆

[Venkatesh @SuccessProject_]

CBSE Class 10 Board Exams are <2 weeks away.

I’ve created 100+ visually rich revision presentations for Maths & Science to help students revise fast and clearly.

Structure:
📁 Level 1 – Chapter basics & summaries
📁 Level 2 – Concept mastery & tougher areas
📁 Level 3 – Exam-focused: examiner expectations, common mistakes & tricky questions

Useful for last-minute revision. Please RT and share for wider reach.

⚠️ Folder size is 1GB+. My Drive is full, so I’ll remove it this weekend.

Download immediately if needed.

https://t.co/Vc565hADtu

[Deepak Arora @iAroraDeepak]

Dear @IcelandCricket,

Totally understood. In India, if Pakistan withdraws, we accidentally discover 27 new all-rounders during a tea break.

Your baker captain choosing sourdough over swing bowling is respectable - priorities are important.

Sauna temperatures? That’s just our February.

No kit sponsor? We play with brand endorsements stitched on the soul.

If you change your mind, don’t worry about preparation. Just land in India. By the time immigration clears, you’ll have an IPL contract.

With warm regards (extremely warm),
India 🔥❄️

[Elon Musk @elonmusk]

Even though I knew his death was coming, as he told us it would, I still can’t believe he has died.

Rest in peace, good and great man, rest in peace.

[Yash @arpas]

@volklub Badhai ho, @volklub

Very well done!

[Yash @arpas]

@curiosityonx What other option did it have?

[Yash @arpas]

@ActusDei Global

[Karthik 🇮🇳 @beastoftraal]

This is perhaps the funniest 'conversation' I have read between a human and an AI (on the topic of Elon Musk's "lean and wiry physique"!), thanks to @philospider's relentless patience!

[Manu Joseph @manujosephsan]

On behalf of all Malayalees in North India, I declare the start of Winter 2025. The coconut oil has frozen.

[Yash @arpas]

@RohitMishra2024 Itna blue scam ke bina namumkin hain!

[Yash @arpas]

@muglikar_ @SuccessProject_ Another option at restaurants is to ask the staff for the device they use to place the order. Works every time!

[Yash @arpas]

A balanced take on investing in equity vs real estate

[Animesh Hardia @hardia_animesh]

Thanks for the analysis @ActusDei

The Nifty 50 tracks the top 50 listed firms. Your creative sets that against an average of India’s full residential and commercial market, likely across 50+ cities. That’s not the same slice.

The Nifty Realty Index reflects developer earnings. It is about listed companies like DLF, Godrej, and Lodha. It is not the same as India’s housing market.

At 1 Finance, we saw this mismatch. So we decided to dig deeper into the transaction data. We built total return indices for Indian housing to get an apples-to-apples read.

We found that the real estate story is actually more interesting than it looks.

1. Based on data starting from 2015, total returns for cities with more than ₹50,000 crores in annual sales of residential real estate are as follows:

Bengaluru - 10.3%
Hyderabad - 8.7%
Gurugram - 13.3%
Mumbai - 6.0%
Pune - 10.2%

These are not 20-year numbers, but they tell the last decade’s tale. Over the same period, Nifty 50 TRI grew 13.7% and Nifty Realty TRI 18.8%.

2. Just like understanding company fundamentals, it is important to study the macro fundamentals driving each city's real estate. Especially the kind of jobs coming in, the stability of regulation, and the city's public infrastructure development.

3. Price corrections in these markets were less than half of Nifty's drawdown during the COVID-19 crash. Not a lot of asset classes can provide that level of capital protection.

4. Our 1 Finance Housing Total Return Index (top Indian cities) shows a slight negative correlation of -0.09 with equities (Nifty 500 TRI). That makes real estate in these cities a strong diversifier.

I'd say India’s real estate story is still young. It is small by global standards, but people worldwide don’t park 56% of the ~$700T global wealth in real estate by accident.

Equities are great for growth. Housing adds resilience and diversification. The right takeaway is not either-or. It’s the right mix.

[Animesh Hardia @hardia_animesh]

Thanks for the analysis @ActusDei

The Nifty 50 tracks the top 50 listed firms. Your creative sets that against an average of India’s full residential and commercial market, likely across 50+ cities. That’s not the same slice.

The Nifty Realty Index reflects developer earnings. It is about listed companies like DLF, Godrej, and Lodha. It is not the same as India’s housing market.

At 1 Finance, we saw this mismatch. So we decided to dig deeper into the transaction data. We built total return indices for Indian housing to get an apples-to-apples read.

We found that the real estate story is actually more interesting than it looks.

1. Based on data starting from 2015, total returns for cities with more than ₹50,000 crores in annual sales of residential real estate are as follows:

Bengaluru - 10.3%
Hyderabad - 8.7%
Gurugram - 13.3%
Mumbai - 6.0%
Pune - 10.2%

These are not 20-year numbers, but they tell the last decade’s tale. Over the same period, Nifty 50 TRI grew 13.7% and Nifty Realty TRI 18.8%.

2. Just like understanding company fundamentals, it is important to study the macro fundamentals driving each city's real estate. Especially the kind of jobs coming in, the stability of regulation, and the city's public infrastructure development.

3. Price corrections in these markets were less than half of Nifty's drawdown during the COVID-19 crash. Not a lot of asset classes can provide that level of capital protection.

4. Our 1 Finance Housing Total Return Index (top Indian cities) shows a slight negative correlation of -0.09 with equities (Nifty 500 TRI). That makes real estate in these cities a strong diversifier.

I'd say India’s real estate story is still young. It is small by global standards, but people worldwide don’t park 56% of the ~$700T global wealth in real estate by accident.

Equities are great for growth. Housing adds resilience and diversification. The right takeaway is not either-or. It’s the right mix.