Nitin

scaling ops ⚡ / taming chaos 💥 / always optimizing 🎯 / closet photographer 📸

[Andrej Karpathy @karpathy]

Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
https://t.co/JIhXN7OSh1

- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊

A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.

Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.

[Nitin @gniting]

Anthropic has 900% NRR. Meaning customers are paying 9x of what they were paying 12 months ago. 🤯

Insane numbers.

[Nicholas Mugalli @RealNickMugalli]

Anthropic already has $132bn of cash.

Add a ~$140bn IPO, $77bn of committed funding from Google, Amazon and Broadcom and cash from a business growing 14x a year and it could be sitting on roughly $400bn by the end of 2027.

That's more firepower than almost any company on earth, aimed at one thing and one thing only: compute.

In a race where the winner is whoever can build the most, Anthropic is about to have the deepest pockets in AI outside of Big Tech itself.

[Anthropic @AnthropicAI]

Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO.

Read more: https://t.co/ofhv0DK3Zp

Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.

[Nitin @gniting]

@jaminball Do you know what they changed to drive from 12% → 85% over the last 12 months?

[Evan Kirstel #B2B #TechFluencer @EvanKirstel]

Ok that’s cool

[Nitin @gniting]

@_joe_harris_ @Robco_Robotics!

[Nitin @gniting]

@tristanwalker Just came across this, congrats! 🚀

Had the chance to spend some time with @cshapiro a few weeks back at an event, and am so psyched to learn that you guys are collaborating!

Wins across the board! 🎉

[Nitin @gniting]

@fatih Also a show on AppleTV
https://t.co/mOIPiAnDdQ

[Nitin @gniting]

@syntaxfm Nominating Tinycast. Excellent launcher for MacOS.

Dev: @abue_ammar
GitHub: https://t.co/WHU7i5poe4
Website: https://t.co/ZcoPwJrkFl

[Andrew Kang @Rewkang]

Recent developments from frontier Physical AI companies are showing that robots are capable of moving from single task automation to complete workflow automation.

This unlocks a market an order of magnitude larger than single task autonomy. Similar to the jump from L3 to L4 driving automation that allowed Waymo to start scaling its operations or the jump from AI chatbots to AI agents.

Less than 5% of physical work in the world is actually single task. Machine tending, packaging, simple assembly. A lot of work, even if seemingly repetitive, require more higher level decision making than we think.

Take for example Dyna's recent demonstration for their laundry physical agent. Addressable annual laundry labor itself is ~$9.5B. 85% of North America's 59,000 hotels have 200 rooms or fewer. These have on average one full time laundry attendant.

That laundry attendant is continuously navigating multiple decision trees - when to load the washer, when to transfer from washer to dryer, when to fold laundry, when to move folded stacks to the shelves, etc. Correctly making these decisions requires real scene understanding, memory, and the ability to reliably execute a large number of subtasks.

A laundry attendant that has a single task folding robot still needs to be near the laundry room for most of their shift since they need to support the robot in loading, unloading, transfering stacks and moving laundry baskets.

They free up some time, but they can't effectively reallocate it to housekeeping due to the constant support required. When a robot is able to complete entire laundry workflows unattended, now the hotel manager can quickly fill a real laundry attendent hiring need with a robot or reallocate an attendant to housekeeping work.

The ability to complete entire workflows makes robots much more useful to businesses. This is the value of physical agents.

[RobCo @Robco_Robotics]

RobCo on the @officially_omr Podcast 🎧

In episode #947, our Co-Founder & CEO Roman Hölzl talks about how RobCo became a unicorn 🦄 and why this is just the beginning!

Thanks to the OMR team for the great conversation 💙

Episode link (in German) in the comments.

#OMRPodcast #AutonomousIndustrialRobotics #RobCoIsAUnicorn #PhysicalAI

[RobCo @Robco_Robotics]

Who packed your lunch?

Plot twist: it might've been a robot.

Our Co-Founder & CEO Roman Hölzl on the OMR Podcast about how RobCo automates packing, labeling and palletizing for one of Europe's largest salad box producers.

And how that kind of work turned RobCo into a unicorn 🦄

Full episode here 👇

https://t.co/UDnRsLt3KH

[Nitin @gniting]

Boom! 🚀

[RobCo @Robco_Robotics]

AI isn't digital. It's physical.

Today RobCo crossed a $1B valuation. We're a unicorn.

The best part: through an employee secondary sale, the people who helped build RobCo share in the value they created.

The next chapter of AI happens on the factory floor.

[Nitin @gniting]

🚀

[WSJ Tech @WSJTech]

German robotics startup RobCo has sold shares at a more than $1 billion valuation—double the level hit earlier this year—highlighting investor enthusiasm for physical AI systems. https://t.co/Pz7KmMzif2

[Nitin @gniting]

@BrendanFoody I'd add a third...

3. Can they recognize and build up great internal talent?

Most companies already have amazing talent, but it is underutilized, unrecognized and sits dormant.

A good exec/leader can recognize potential and help it flourish.

[Nitin @gniting]

@abue_ammar It does indeed! Thank you! I am now 100% off Raycast. Also sent some support your way. 🙂

[Alexander Jung @nderjung]

Over a year in the making, we can now finally (and proudly) announce that @Netlify Edge Functions run on top of @UnikraftCloud ! 🚀

It’s been an incredible honour working so closely with the Netlify team. From the very beginning, this has felt like a true engineering partnership, with both teams working side-by-side to rethink what the underlying infrastructure could look like.

Projects like this are exactly why we started Unikraft.

Working with a team operating at Netlify’s scale has pushed us to grow, sharpen the platform, and build new capabilities that will benefit everything we do going forward.

A huge thank you to everyone at Netlify and Unikraft who has been part of this over the past year.

SO incredibly proud of what we’ve built together, and even more excited about what comes next. ❤️

[Atta 🐬 @attacomsian]

Vitals is #4 on Product Hunt right now 🔥

196 upvotes, just 17 behind #3.

if you haven't yet, your support could push us into the top 3 🙏

> https://t.co/5H96uqtRhY