Arjun Naskar ☕️

Currently demand gen @basetenco | Alum @MIT @Homejoy @Hireready @RemindHQ @ycombinator @clickup|

[Arjun Naskar ☕️ @anaskar]

big cos investing in AI give their employees codex/claude and call it a day.

no real investment in fundamentally changing workflows or restructuring product/gtm.

huge miss.

[Ankit Gupta @agupta]

deeply shocking that Bain and McKinsey didn't find value in AI

[Arjun Naskar ☕️ @anaskar]

“If the game has gotten harder, the question is not how to work more hours. The question is which moments, chapters, and books are worth writing at all. Every choice to work on one thing is a choice not to work on something else. The opportunity cost of our attention has never been higher.”

Not just for work but any expenditure of time for any reason

[Alfred Lin @Alfred_Lin]

https://t.co/fnQEM0WuFJ

[Arjun Naskar ☕️ @anaskar]

2 million businesses registered in delaware. all paying franchise tax through this website today. myself included.

you get what you get when the state has a monopoly on incorporation.

(same developer as the india visa site, clearly)

btw, squatting on companies is the next level up from squatting on domains. same output (no actual company) but a different level of commitment to the fantasy.

[Arjun Naskar ☕️ @anaskar]

@ad0rnai @Madisonkanna you're a marketer now. must finish it. actually, start over and watch it through.

[Arjun Naskar ☕️ @anaskar]

@elegantunivers9 @Madisonkanna @baseten @philipkiely I did indeed :)

[Arjun Naskar ☕️ @anaskar]

On quality:

My first day at @baseten, the very first person I met was @philipkiely on the AI Education team. He told me he's working on a textbook. An absurd thing to say on the surface. I asked for an early pdf version that I started to read on the plane ride home. It was reviewed for accuracy, comprehensiveness, and clarity by dozens of people across multiple disciplines and hand-edited. The book became a useful reference for me and deeply accessible to someone new to the space and something I still return to often.

A few months later, the book was complete. Printed by an old school shop in Europe, the cover, charts, and diagrams meticulously crafted pixel-by-pixel with @lucas_dehaas's hands. Sourcing the printer and getting the proofs just right added many weeks to the launch beyond the original deadline.

Then, it was time for the launch. The team wanted to get the books in the hands of ML researchers and the broader tech community. Instead of shipping it via USPS, a gift box was custom printed and hand-delivered. @ad0rnai, who was mere days into her first week at Baseten, sourced a custom metal bookmark, tea from Fortnum & Mason, and created an art deco experience that culminated in an event at The American Bookbinders Museum (planned end-to-end down to the last custom gobo detail for lighting the sidewalks by Ashley).

None of this needed to be done. But it was an ambitious idea executed with an extremely high quality bar under a reasonable timeframe and budget. Execution wins across the board. And a no-brainer for leadership to sign off on.

People assume the market prizes speed and therefore marketers have to make a tradeoff between speed and quality. It often degenerates to slop to keep up with the Joneses. I believe this is a false dichotomy.

I think the market actually prizes value received and human effort. And it's worth taking the big swings. You don't have to make a tradeoff, you just have to be intentional with your choices.

But it's important to keep the quality bar extremely high, both when the world is watching your effort and, more importantly, when nobody is watching what you're doing.

By the way, none of the above-mentioned people had ever done a project like this. They just kept standards high and figured it out together, thinking how to deliver maximal value to the reader. And the results spoke for themselves.

📷: @katedeyneka

[Arjun Naskar ☕️ @anaskar]

@lucas_dehaas @baseten @philipkiely wait till the world sees the next thing you do

[Arjun Naskar ☕️ @anaskar]

@katedeyneka @baseten @philipkiely it's a beautiful pic

[Arjun Naskar ☕️ @anaskar]

@creebeauvoir @baseten @philipkiely can't ask for better

[Arjun Naskar ☕️ @anaskar]

@ad0rnai @baseten @philipkiely @lucas_dehaas way more to come!

[Arjun Naskar ☕️ @anaskar]

Accessible data is indeed the limiter on pre-training AI models yet at the same time there exists troves of it both online and offline that just needs to be captured.

Clever.

Though, as someone who worked at a cleaning company for three years (Homejoy) and has personally cleaned dozens of homes, this is gonna be a gnarly endeavor with a lot of fun stories.

[shift @joinshiftX]

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.

[Arjun Naskar ☕️ @anaskar]

@brycent one of the best launch vids i've ever seen. gripping.

[Arjun Naskar ☕️ @anaskar]

love him or hate him, this is exactly the type of stuff low-code/no-code/agentic software enables.

is it complicated to make? no. and that's the point. shipping tiny, discretely-useful product where there's a real user demand for it. meeting users where they are, quickly.

great to see local gov adopt.

[Amanda Litman @amandalitman]

Mamdani put out an easy to use hub for all the free and cheap stuff kids, teens & families can do during the summer, which is the kind of city service that feels so obvious it’s wild no one has done it before — I love this. https://t.co/4OqUZ53AE3

[Arjun Naskar ☕️ @anaskar]

@gabepereyra @nikitabier feature request -- co-authoring on x articles. the technical audiences yearn for it.

[Arjun Naskar ☕️ @anaskar]

People ask me all the time how to pick a winner in the AI application layer.

This is how you pick a winner.

Seek the companies post-training their own models.

[Gabe Pereyra @gabepereyra]

https://t.co/VniSjWQbOI

[Arjun Naskar ☕️ @anaskar]

@harris dunno about naming conventions but Baseten's new SF office has their rooms in alphabetical order. Makes booking and finding EASY 🙌

[Arjun Naskar ☕️ @anaskar]

Been craving cereal lately

[Trung Phan @TrungTPhan]

Google is sitting on a massive clothing and home textiles opportunity

[Arjun Naskar ☕️ @anaskar]

Here's to the Day 0 supporters that don't waver in their conviction in the founders.

"When you work on early stage, you make a concentrated commitment to a person and an overall idea and then you suspend disbelief and work on the company for a long time"

[Dannie Herzberg @DannieHerz]

Congrats to @saranormous, who somehow manages to be everywhere at once and shows up in a superhuman way for every team she backs. I/we feel the impact literally every day. Working with Sarah and @conviction is an unfair advantage.

https://t.co/ZU9FBplkIM

[Arjun Naskar ☕️ @anaskar]

frontier intelligence is jagged.

the only companies that beat it long-term are the ones post-training on their own production data. every correction, every edit, every retry their users make is signal. until now it's been wasted and locked in.

it's the only way to break the shackles of Big Token is to unleash your unfair advantage.

congrats @trajectorylabs -> this is what that looks like at scale.

[Ronak Malde @rronak_]

Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory.

We are a research lab and product company building the platform for Continual Learning.

Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs

We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more.

We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey, @DecagonAI, @mercor_ai, @RogoAI to power their agentic systems, some of which we are already in production with.

We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma.

AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.