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Ashish Nagar

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@ashishnagar

Entrepreneur, Founder @TheLevelAI, Product #Alexa, Climate Policy Buff, #Stanfordgsb Alumni, #IITdelhi alumni, Indian.
Stanford, CA ashishnagar.com Joined October 2009
489 Following 546 Followers 2K Posts

Latest posts 5

Ashish Nagar Verified account @ashishnagar
Huge for the environment. Such a remarkable turn around by Lula in a matter of 2-3 weeks. Votes matter, politics matters!
Erik Solheim Verified account @ErikSolheim Oct 26
The best news for Planet Earth this year - Lula is reelected President of Brazil 🇧🇷!

This is truly wonderful! Of huge importance.

Amazonas is the most important ecosystem in the world. Deforetation is drastically reduced during Lulas presidency.  Amazonas is safe for now!

I recall so many visits to this most beautiful of forests - the sounds and smells and sights, the animals and trees of all kinds - I am thrilled with the news!

It is also an extraordinary human story. Lula was born in abrupt poverty in Brazil northeast. He lost his first wife at 21 because the couple could not afford a good hospital for her giving birth. Lula rose through the trade unions of Sao Paulo, loosing presidential elections three times. Now he is reelected for his fourth term. There is no parallel in todays global politics  - dominated as its is by middle class leaders.

I wish I was in Brazil today - singing and dancing with the great people of Brazil!
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Ashish Nagar Verified account @ashishnagar
Have been saying this for the last 3 years. The only issue is there are app companies which can make 65%+ gross margins. Have to go full stack. We did it at @TheLevelAI since Day 1. The problem which @ZacharyDeWitt is a good one. All of them have to make 80% gross margins at some point and at that point someone else's $s will go away in the stack.
Zach DeWitt Verified account @ZacharyDeWitt Oct 21
Napkin math on how $1 of AI spend becomes $100 of asset value:

A law firm spends $100M on Harvey
➡️ Harvey trades at ~40x ARR (last round was $16B on ~$400M). That $100M of ARR marks Harvey up by $4B

➡️ Harvey spends most of that $100M on Anthropic inference. Gross margins at the app layer are rough. Call it $80M to the lab

➡️ Anthropic trades at ~15x revenue ($965B on a run rate heading toward $110B). That $80M marks Anthropic up by ~$1.2B

➡️ Anthropic backs every $1 of revenue with ~$5 of compute commitments ($500B+ of signed commits against ~$100B of run rate). So that $80M of revenue supports ~$400M of new compute POs

➡️ Nvidia books a big chunk of those POs at ~60% net margins and ~30x earnings. Call it $300M of orders → $180M of earnings → $5.5B of market cap

Add it up: $4B + $1.2B + $5.5B = $10B of asset appreciation from a $100M contract.

And that's before the clouds take their markup. Before the datacenter REITs. Before the power companies. Before CoreWeave marks up the same GPUs again.

$1 in and $100 and of asset price appreciation. This is one of the greatest flywheels in capitalism

H/t to a friend in our group chat
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Ashish Nagar Verified account @ashishnagar
One WELCOME change with Claude, Gamma -- Gone are the ugly internal and external slides. Beautiful, storytelling for all things is now in every meeting. Engineers who used to show up to meetings with 2 bullet points and a GIF now have 10 slide BCG formatted decks. Sales folks are no longer lazy about putting pen to paper. The consultant in me can't be happier.
Ashish Nagar Verified account @ashishnagar
She is a senior from my undergrad school. Did Investment Banking, MBA from a top B school and recently left an elite post in Indian burecracy to make the system accountable. Can't celebrate this enough. More power to you @divyamittal_IAS
Divya Mittal Verified account @divyamittalJB Sep 29
कुछ दिन पहले IAS से त्यागपत्र दिया था और आपके मन में कई सवाल छोड़ दिए थे। अपनी बात इस वीडियो में कह दी है। अगर आपको लगे कि ये आपकी भी बात है, तो 9198956957 पर whatsapp मैसेज करिए।
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Ashish Nagar Verified account @ashishnagar
One of THE most important company building learnings. Blind reference checks, as many of them from as senior people as possible, are critical for executive offering. Every time I have made the mistake of falling in love with a candidate and missed this step, it has been a disaster.
Dev Ittycheria Verified account @dittycheria Aug 20
Yesterday, the founder of a well-known, successful company called me to reference check two people he was considering for a senior role. He wasn’t looking for reassurance. He was genuinely trying to understand them, including anything that might cause him to reconsider either hire. He’s called me before about other hires, including people who wouldn’t even report directly to him. He doesn’t delegate this to others. He calls himself. I'm sure that kind of rigor is part of why his company has been so successful.

The call stuck with me because it happens so rarely. Many people I’ve worked closely with have gone on to senior roles, including C-level positions, at other companies. It’s shocking how infrequently I get called. These are among the most consequential decisions a founder makes, yet companies routinely make them without talking to people who actually worked closely with the candidate.

Part of the problem is timing. Most reference checks happen after the hiring manager has effectively decided to make the hire. You like the candidate, you’ve invested weeks in the process, and you’re under pressure to fill the role. You want the process to be over, so you’re looking for validation rather than truth. That defeats the purpose of doing reference checks.

A real reference check should attempt to disconfirm what you already believe. What am I missing? Where is this person weaker than they appear? What will I wish I had known six months after they start? You aren’t trying to build the case for the hire. You’re trying to find the flaw in the case while you can still do something about it.

I’ve learned a few rules. Start by putting limited weight on the references the candidate gives you. Nobody hands you the name of the boss or colleague who thought they were a disaster. The references that matter most are blind references, so find former bosses, peers, direct reports, and customers who aren’t on the candidate’s list. Each has seen the person from a different angle.

You also have to adjust for human nature. Most people don’t like being brutally honest when they know their words could affect someone’s career. They inflate praise and soften criticism, so my rule of thumb is to discount the positive by 3x and amplify the negative by 3x. That gets you closer to a balanced view.

When someone says, "He's a great leader, although some very good people struggled working for him," the second half of that sentence matters far more than the first. Who struggled, why, and where are those people now? When someone says, "She surrounds herself with people she trusts," ask whether those are the best people for the job or simply people who always agree with her. Hesitations, qualifications, and carefully chosen words often tell you more than the compliments.

Ask questions that make vague answers difficult. What would their direct reports say is the hardest part of working for them? What feedback did you give them repeatedly? What was their biggest blind spot? How do they behave when things are going badly? Tell me about a serious conflict they had and how they handled it. If this hire fails, what is the most likely reason? Would you hire them again?

My favorite is a forced ranking. Of everyone you’ve worked with in a similar role, where does this person rank? Top 1%? Top 10%? Top 25%? Then ask why. Adjectives can be misleading. Rankings force people to make an actual judgment and explain it.

I’ve hired many exceptional people and made some bad hires. The most important lesson I’ve learned is that the goal of a reference check isn’t to prove you made the right decision. It’s to discover why you might be making the wrong one while you can still change it.
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