Varun Kulkarni

Be Obsessed! #Marketing #Growth @nobrokercom @convozen AI • Interested in everything.From French Toast to Jet Engines & from Comics to Politics! Opinions My Own

[Varun Kulkarni @TheVarunK]

Thanks #Pitch & #Exchange4Media for this honour.
@e4mtweets #PitchMarketing30Under30

[e4m Live @e4mevents]

Congratulations to Varun Kulkarni (@TheVarunK), Senior Manager Digital & Growth marketing, @nobrokercom for making it to the Pitch Marketing 30 Under 30 list of 2021. e4m wishes you the best for your bright future ahead.
#PitchMarketing30Under30 #Youngachievers #futureleaders

[Juan @7uanF]

Tanta güevonada que se habla de este país y mírenlos, pura gente seria y comprometida, la próxima vez que hablen de la India recuerden que esa gente en pleno mierdero envió un hospital de campaña

[Afshine Emrani MD FACC @afshineemrani]

I'm a cardiologist. Something just happened today that I genuinely did not see coming — and it could change the future of preventive medicine more than anything I've written about on this platform.
Midjourney — the AI company that became famous for generating images from text prompts — just announced a medical hardware division and unveiled a working prototype of a full-body scanner unlike anything that's ever existed.
It's called the Midjourney Scanner. And it works like this.
You step into a shallow pool of water. You stand on a platform that slowly descends — about two inches per second — through a ring containing roughly half a million tiny ultrasonic transducers, each the size of a grain of sand. Every one of them acts as both a speaker and a microphone, sending ultrasonic waves through your body from every angle and recording what comes back.
60 seconds later, you step out. The scan is done.
No radiation. No magnets. No claustrophobia. No IV contrast. Just sound, water, and an almost incomprehensible amount of computing power — roughly 2 petaflops processing 17 gigabytes per second of raw acoustic data — reconstructing a 3D map of your entire internal anatomy down to half a millimeter resolution.
Organs. Tissues. Blood vessels. Bones. Muscle. Fat distribution. All segmented by AI in real time.
As a cardiologist who has spent months writing about how the standard screening playbook misses the majority of future heart attacks — this is the technology I've been waiting for without knowing it existed.
Here's why this matters for the future of your heart.
Right now, getting a detailed look inside your cardiovascular system requires either a CT scan (radiation), an MRI (magnets, claustrophobia, 45-60 minutes, $1,000+), or a coronary CT angiogram (radiation, IV contrast, limited availability). These are powerful tools. I order them regularly and they save lives.
But they're reactive. You get them when something is already suspected. They're expensive. They're uncomfortable. And for most people, they happen once — maybe twice — in a lifetime.
Imagine instead: a 60-second scan with no radiation that you could repeat monthly or quarterly. Tracking cardiac structure over time. Watching body composition shift. Detecting changes in organ size, fluid distribution, or vascular architecture before symptoms ever develop. Building a longitudinal dataset of YOUR body that AI can analyze for patterns no single snapshot would reveal.
That's what Midjourney is building toward.
The company plans 50,000 scanners worldwide over six years, with capacity for a billion scans per month. The first location — the "Midjourney Spa" in San Francisco — opens at the end of 2027 with 10 scanners alongside saunas, cold plunges, and a gym. The scan costs a few dollars. The experience is designed to feel like wellness, not medicine.
The technology is built on Butterfly Network's ultrasound-on-chip platform — 40 modules per scanner — combined with Midjourney's own AI segmentation and reconstruction stack. David Holz, the founder, claims the system aims for image quality comparable to MRI in many aspects but at nearly 100x the speed with zero radiation.
Now the caveats — because I'm a physician and the caveats matter enormously.
This is a Gen 1 prototype. About a dozen people have been scanned so far. Current scan time is actually closer to 20 minutes, not 60 seconds — the system is bottlenecked by bandwidth and reconstruction algorithms. The 60-second target is aspirational for future hardware generations.
It is not FDA-cleared for diagnostic use. Midjourney is starting with body composition maps — a category below diagnostic imaging in the regulatory hierarchy. The path from "beautiful 3D body scans" to "clinically validated diagnostic tool that your cardiologist can act on" runs through years of clinical trials, comparative studies against MRI and CT gold standards, and FDA review.
No independent clinical validation has been published. The imaging claims come from Midjourney's own demonstrations. Comparative data against established modalities does not yet exist.
And the privacy implications of full-body internal scans at planetary scale — a billion scans per month — is a conversation that hasn't even started yet.
So I want to be precise. This is not ready for clinical medicine today. It may not be ready for years. Many ambitious medical hardware projects have failed in the gap between prototype and product.
But.
The fact that a working prototype exists — producing real segmented 3D anatomy from sound waves and compute alone — means the physics works. The engineering works. The question is no longer "is this possible" but "how fast can it be validated and scaled."
And if it is validated — if the resolution holds up against MRI, if the AI segmentation proves reliable, if the regulatory path clears — then what we're looking at is the most significant new imaging modality in 50 years.
For my entire career, preventive cardiology has been limited by the fact that seeing inside the body is expensive, slow, uncomfortable, and infrequent. We catch disease late because we image rarely. We image rarely because imaging is hard.
A 60-second, no-radiation, spa-based full-body scan that costs a few dollars would demolish every one of those barriers.
I've written about AI detecting inflamed arteries. About gene editing curing cholesterol. About GLP-1 drugs rewriting metabolic medicine. About cellular reprogramming reversing aging.
This is the missing piece: the ability to see inside every human body, routinely, safely, and affordably — so all of those interventions can be deployed before the disease arrives instead of after.
The company that taught AI to generate images from imagination just built a machine that generates images from the human body.
The future of medicine showed up today from the last place anyone expected.

[Varun Kulkarni @TheVarunK]

Pronto and Snabbit been doing/planning to do this and charging the customers as well. Fantastic!
Expect humanoid house helps soon.

[shift @joinshift]

Today, we're launching shift. We're starting by cleaning your apartment in New York City, for free.

Here's how it works. Book a shift cleaning. A vetted shift operator comes to your home wearing one of our devices. They clean. They leave. You pay nothing.

In exchange, we record the cleaning. Robotics is being built on data about how people do daily tasks, and the value of that recording is what funds the service. Anything personal in it is anonymized before the recording is processed.

By now, you have heard about the shift to AI more times than you can count. About the shift toward you, the part where you actually feel it, you have heard almost nothing. Shift is what starts to make it concrete, in specific cities, with specific services.

Today, cleaning in New York. Soon, handymen, repairs, and errands across the globe. And this is just one side of shift, with more on the way.

Comment “shift” and we’ll send you an early access link.

[Dustin @r0ck3t23]

Jeff Bezos asked a room to imagine going back a hundred years.

When almost everyone was a farmer.

And telling those farmers that in 2018 there’d be a job called “massage therapist.”

Bezos: “They would not have believed you.”

Then a friend took it further.

Bezos: “Forget massage therapist, there are dog psychiatrists.”

He looked it up.

Bezos: “Sure enough, you can easily hire a psychiatrist for your dog.”

The room laughed.

The point under the laughter wasn’t funny at all.

Every time a major technology shift hits, we do the exact same thing.

We count the jobs it will destroy.

We never count the ones it will create.

Because we can’t.

They don’t have names yet.

The fear is always specific.

AI will replace accountants. AI will replace radiologists. AI will replace drivers.

The fear has job titles and timelines and projections.

The opportunity has none of those things.

Because you can’t name what doesn’t exist yet.

A farmer in 1920 could understand losing his job to a tractor.

He could not understand gaining a career as a social media strategist.

Not because he lacked intelligence.

Because the entire chain of inventions between his world and that job hadn’t been built yet.

Radio. Television. The internet. Smartphones. Social platforms. Creator economies.

Every single link in that chain had to exist before “social media strategist” could even be a sentence.

That’s where we are with AI right now.

Everyone is staring at the tractor.

Nobody can see the thing seven inventions away that doesn’t have a name yet.

The fear is loud because it fits inside language we already have.

The opportunity is silent because it doesn’t.

Every technological revolution in history created more jobs than it destroyed.

Every single one.

Not because anyone planned it.

Because human needs expand faster than machines can fill them.

We didn’t need massage therapists when we were breaking our backs on farms.

We needed them after machines freed our backs and stress replaced labor.

The demand didn’t disappear.

It migrated somewhere no one was looking.

That is exactly what’s happening right now.

The jobs AI creates won’t make sense to us yet.

They’ll sound as absurd as “dog psychiatrist” would’ve sounded to a farmer in 1920.

Until someone is running a $200 hourly practice with a six-month waitlist.

The entire conversation right now is about what we’re about to lose.

Nobody is talking about what we’re about to gain.

Because the gains don’t have vocabulary yet.

A hundred years from now, someone will stand on a stage and describe the jobs we couldn’t imagine today.

And the audience will laugh.

The same way we just did.

[Varun Kulkarni @TheVarunK]

@aditi_tibarewal Try Circa 11 in Indira Nagar

[Parimal @Fintech03]

In the 1990s, India was facing a Biological Colonization. If Dr. R.A. Mashelkar had not stepped in, we might have ended up paying a royalty to a US corporation every time we used turmeric on a wound/exported Basmati rice.

In 1997, a Texas-based company called RiceTec was granted a patent by the USPTO (US Patent & Trademark Office) for Basmati Rice lines & grains. They claimed they had invented a superior strain of rice. Mashelkar realized that if this patent stood, Indian farmers would be barred from selling their own rice under the name Basmati in the US. It was a theft of Geographical Intellectual Property.

He did not just shout Injustice. He assembled a team to find Genetic Fingerprints. They proved that the new rice was actually derived from Indian germplasm that had existed for centuries. The USPTO was forced to strike down the majority of the claims.

2 researchers at the University of Mississippi were granted a patent for the use of turmeric in healing wounds. To a Western patent officer, this was a novel invention. To an Indian, it was something their grandmother did every day. Mashelkar produced an ancient Sanskrit text as Prior Art. The USPTO demanded a translation. He provided evidence from the Journal of the Indian Medical Association dating back to 1953 + ancient Ayurvedic texts.

This was the 1st time in history that a patent granted to a US entity was successfully challenged & revoked based on the Traditional Knowledge of a developing country.

Mashelkar also realized that India could not fight 10000 legal battles every yr. He needed a Scalable Solution. Patent officers in the West were not malicious; they were just Data Blind. They could not read Sanskrit/Tamil/Persian. If a discovery was not in an English journal, it did not exist in their system.

He hired 100s of experts (Ayurveda practitioners, IT engineers, & Patent lawyers). They took 500000+ formulations & converted them into a digitized Shloka to Code format. The data was rendered in English, French, German, Japanese, & Spanish.

Today, India has signed agreements with the USPTO, the European Patent Office, & others. Before an officer grants a patent, they run a TKDL Scan. If the herb/method is in the library, the patent is rejected instantly.

[Varun Kulkarni @TheVarunK]

@adadithya Try Circa 11 in Indiranagar

[Varun Kulkarni @TheVarunK]

Amazing experience at @BLRAirport #080T1 lounge. Great hospitality and very courteous staff.

[Varun Kulkarni @TheVarunK]

Fascinating read

[Darshak Rana ⚡️ @thedarshakrana]

https://t.co/khjx1Kw0g2

[Varun Kulkarni @TheVarunK]

Ajit Dada was one of the finest leaders Maharashtra has ever produced.
A true Leader with strong grassroots appeal and an exceptional administrator.
Truly unfortunate. Om Shanti! 🙏🏻

[Varun Kulkarni @TheVarunK]

If you are craving for a good Vada Pav in Bengaluru, try Mumbai Pav Co.
Hands down the best Vada pav I’ve had so far in Bengaluru. 🙌🏻🤌🏻

[Varun Kulkarni @TheVarunK]

@sandesh_samant Deeper than aqua line!

[Varun Kulkarni @TheVarunK]

People in India being ecstatic about Zohran Mamdani’s victory, hope you know your own city mayor’s name?
Absolute comedy 🤦🏻‍♂️

[Varun Kulkarni @TheVarunK]

@ganeshsonawane What @varun067 is saying stands true for organic engagement of influencer campaigns. There, engagement takes precedence hence it’s possible that you reach irrelevant audience.
Your point is valid for Paid campaigns. Meta has largely solved it.

[Varun Kulkarni @TheVarunK]

Consumerism is a wonderful thing!

[Varun Kulkarni @TheVarunK]

How can drivers deny a booking if it was allowed by @Uber_India @Olacabs app? Why is there no penalty levied on them? Making senior citizens suffer due to such unprofessional behaviour.

[Varun Kulkarni @TheVarunK]

Pathetic attitude by @Uber_India @Olacabs drivers at Pune Airport. With such unprofessional behaviour, already deteriorating infra and connectivity becomes worst.
This needs serious intervention by @CMOMaharashtra @Dev_Fadnavis if we need to make this a world class city.

[Varun Kulkarni @TheVarunK]

Bengaluru, take out your boats!

[Varun Kulkarni @TheVarunK]

What kind of ads are these? Is there no regulation / approval process stopping these misinformation ads?
These are being run on Google Discover Feed with advertiser being some central fisheries institute which seems suspicious.
@Google @GoogleAds
@MIB_India @MIB_Hindi

[Varun Kulkarni @TheVarunK]

War 2.0