Karan Arora

@JayPrashanth For now all of them are negative on ebitda. Maybe that's why it doesnt make sense to list them separately.

@13karanarora Who is making money on EVs? 😀

What if TATA And Mahindra demerge their EV biz and keep them listed? I feel the markets will re-rate them during such events or atleast some run up would be expected. I also feel electric fleet owners would be v happy right now.

More is expected in the immediate future as the government will try to pass through some of the loss it absorbed from high crude bill past few months. A lot of SMEs are looking at a difficult period ahead of them towards the second half of this year. Just hope demand catches up.

@maahirpanchal Om bhature karol bag >>>>

Truly contemplating why I should spend ₹400 on mediocre chole bhature when Sita Ram Diwan Chand is a ₹12,000 roundtrip

@kawal279 As a Punjabi, When going home in Asr, my family still prefers the gt Karnal road instead of any new highways just and just for the dhabhas. New expressways badly need options, and that too good ones. Not the one off American joint.

Next learning goal is to study all state & national highways. A lot of interest coming from new age entrepreneurs to open up Highway Dhabas on new highways, specially after the success of our Highway Dhabas on Ayodhya-Sultanpur road & 125 Milestone-Delhi-Mumbai Expressway 🚀

@RushabhPipada Operator

I want to start a very high quality closed community (paid) for DTC and retail founders building in India and UAE. Not gurus. Not consultants. Just operators. We'd build one of our own brands live - open ad accounts, open Shopify, open P&L - and members do the same with theirs. Real audits. Real numbers. No fluff. 12+ years operating across India, UAE, US. Comment "operator" if you want in.

@sajithpai Airtel bills and credit card statements. Both need simplifying imo

Why can't Airtel give me my bill in this format? Or at least the first page. Right now it gives me a long pdf which is complex to parse, which I used Claude to parse.

@SreeramRamdas @sahilagar Love it man, keep going!

#2. 98 more to go. Delivered the second Bangalore retail order personally yesterday. Spoke to the customer, watched him unbox the product right in front of me, and him calling it better than anything he's tried before. Nothing like it. Thanks @sahilagar for the order, and the coffee.

@BadCapitalVC Hey man, would love to connect!

last year, we spent months building this book for our LPs - the india technology review. it became the most special project we put out last year and honestly the thing i'm most proud of. we're now giving away a few copies! it covers everything from meesho's full journey, our AI thesis for india, and how the long tail nature of india's economy creates opportunities most people miss. we also go deep on economic policy & some early-stage bets we're tracking. we built it for our LPs but figured founders, investors & operators would get a lot out of it too. giving away 20 copies at random. drop a 👋 below.

@prakdadlani 4

Help us choose which is best for hero image on our new website. Comment 1, 2, 3, or 4 and give us your suggestions/input🙏

@vinodchendhil Congrats man, onwards and upwards!

Just realised we have crossed 1 lakh orders on shopify a few days back. Onwards and upwards 🚀🚀🚀

@amazon Crazy move, also a natural one.

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For the last three years, a startup in Bangalore has been obsessed with a pursuit that typically invites raised eyebrows, naked skepticism, and accusations of stealing from sci-fi: @dognosis is training dogs to detect cancer. And until you've spent time at their facility - a former pomegranate farm in the outskirts of Bangalore - perhaps skepticism is the rational response. But Dognosis isn't betting on some pie-in-the-sky idea or some charming novelty act, they're betting on evolution. @akadogluk and @Itamar_Bitan based their company on the fact that the dog's nose - a product of fifteen millennia of co-evolution with humans - can detect the faint chemical trace of cancer in your breath at a resolution that our machines, algorithms, and laboratory tests have never come close to matching. We've known this fact for decades. We've consistently failed to do anything meaningful with that knowledge. The missing link has been figuring out what the dog's nose knows, and applying it in a standardised, scalable, and clinically validated way. Dognosis is building this missing piece of the equation i.e. the translation layer that allows the dog's nose to speak a language medicine can understand, enabling us to harness an ancient biological intelligence and plug it into our modern medical infrastructure. Maybe you've read the paragraphs above and retained your skepticism. That's fair. But this past Friday, the Journal of Clinical Oncology - the world's most influential cancer journal - opted to make life much harder for the skeptics. On Friday, the JCO published Dognosis' landmark study on breath-based multi-cancer detection - the largest of its kind ever conducted - showing that a team of trained dogs, equipped with sensors and AI, could detect multiple cancers from breath alone at 90%+ accuracy - including at Stage I, when it matters most - for $2 a test. According to Akash, it proved "that everything we’ve known about the dogs is true". Needless to say, it's a genuine milestone for Indian healthcare, health-tech, deep-tech, and, uh, dog-tech, that deserves far more attention than it's gotten so far. To help change that, we were lucky to have Akash stop by the Tigerfeathers editorial desk this past week to unpack the Dognosis journey - helping us understand what they're building, how they're doing it, why it matters, and what comes next. From where we're sitting, Dognosis is an n-of-1 Indian startup with an n-of-1 story that everyone in the Indian tech ecosystem should be aware of. If you've been intrigued by what you've read so far and you're keen to go deeper, dive into our piece here👇 tigerfeathers.in/p/dognosis-unl…

@itsTarH I think another wrap webinar covering this space and developments in the US markets would be very helpful!

All four hyper scalers have the same message 1. All beat earnings growth estimates 2. AI is add turbocharging their respective earnings 3. They are doubling down on adding capacity We are entering the early wave of enterprise adoption of AI Dont sit this one out