Parseur is a B2B Saas that automates document-processing workflows.

We are a 100% office-less, fully remote team of 5 looking for the 6th full-time (or 80%) team member.

We're looking for an excellent front-end dev who ideally knows React. And it would be nice if you could also design and know your way around CSS.

More info here: https://parseur.com/jobs

After falling in love and hacking away with Claude for a few weeks, I'm now in the hangover phase, and barely using any AI at all.

AI works well to build boilerplate code and solve easy problems, while confidently driving full-speed into the wall as soon as complexity increases.

I also noticed that it makes me subtly lazier and dumber. I started thinking like a manager, at a higher-level, believing I could ignore the details. It turns out I cannot, and details came back to bite me quickly.

So, no AI for me right now, but I'm keeping an eye out for the next gens.

The largest Q-Max-class gas tanker is 345 meters long [1]. Let's say you manage to fit 3 giant Siemens wind turbines on it, with 100m long blades [2]. It's a bit cramped but let's say you have extenders on the side to make room for all 3 of them. And also let's say you found a way to prevent the ship from tipping over when the wind is strong. By deploying floaters on the side or whatever. Not unsurmountable.

Each of those wind turbine has a rated power of 14.7 MW [2]. Let's say that you found a place where the wind blows super strong (but not too strong) and steady all the time. It's possible, since you are a mobile ship, after all. Let's say that you have a way for the ship to keep in the same place despite the strong and steady wind pushing you constantly. Using engines is going to lower your efficiency, so let's say we found another way.

So, now your ship is generating 45MW constantly. According to ChatGPT, this is 32 kg of hydrogen per second, taking hydrolysis losses into account.

Tanker capacity is 18 620 000 kg of liquid hydrogen. It will take 581 000 seconds to fill up. 9697 minutes, 161 hours, or 6.7 days. Much shorter than I thought... Did I miss something?

[1] https://en.wikipedia.org/wiki/Q-Max [2] https://www.offshorewind.biz/2024/04/22/first-siemens-gamesa...

Comments URL: https://news.ycombinator.com/item?id=42636426

Points: 1

# Comments: 0

However, this never happens in the real world: You buy a nice car, then a nice house, then go to nice vacations, eat better, healthier food.

Then you realize that there are layers of nicer everything above what you consider "nice". Build a more ambitious company, and end up building rockets to explore the solar system and make humanity multi-planetary, cure illnesses, extend knowledge or education or peace.

Comments URL: https://news.ycombinator.com/item?id=40159716

Points: 2

# Comments: 1

If a blunder is a 0, then avoiding blunders is super important.

For example if you are in finance or accounting, commiting fraud makes you lose your license and set your business value to zero.

If you are a startup, you don't have to wait for your competitors to play before making a move, you can (and must, to survive) make as many moves as you possibly can, to get ahead.

A blunder is not as bad as not making enough great moves.

https://karpathy.ai/zero-to-hero.html

https://grugbrain.dev/

What is yours?

It's glorious in its simplicity.

https://docs.python.org/3/library/ctypes.html

I started doing Python 15 years ago for game development (using Pygame) and it was fairly good at it. At least for prototype, side-project games. Coming from C, the syntax wasn't hard to grasp.

Then I tried it for web, coming from PHP. It was good at it too. I could reuse some of what I learnt in the previous step.

Same for AI, now I can dig into it and only learn the AI part. I don't have to learn yet another new language. And it does the job here too.

Python won because it has the least amount of friction at every step.