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grumpy8

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I use notion as my "inbox stuff". Whenever I see something interesting (book, article, whatever), I use the chrome extension and send it to that inbox. On the phone, I can also "share to notion" which sends it to that inbox. Once in a while, I review that inbox and then prioritize things in other notion pages or in more actionable items.

It works pretty well. The only big issue is how slow it is to cold start. My fix is to use google keep on mobile for very quick note (I.e. someone tells me something), and then I'll manually copy it to inbox later in the day.

GitHub Is Down 6 years ago

self-host git over ssh more reliably than github.

Host where? That host may be down. If it's local, then you run into other problems trying to access it remotely.

Still, I find github to be down quite a lot lately which is concerning. It doesn't stop me from working, I just can't review PRs and get changes.. but I would be more worried if I were using github actions stopping me from releasing a hotfix.

And just as a curiosity, were you taking nap? What about the weekend?

I'm curious as I have a few friends with a similar problem (I.e. struggling to wake up early for work). But they often party hard the week-end and wake up between 11am-3pm, so it's hard to tell if that's the reason it's so hard for them.

You say "You've followed every advice", but what were you trying to achieve exactly? Is it that you can't fall asleep or that you're not productive in the morning, or something else?

Personally what worked best for me is just to wake up at 6am for 2 weeks without nap during the day.

Most people try to adjust their sleeping time to match their waking time, but they've got it backward. Set your wake up time and listen to your body for when it's sleepy, then go to sleep and wake up at the same time the following day.

The "have a kid" is just a way to force this behavior because they will wake up early every day over a long period of time.

Would be great to have that insight on the landing page. Most people (including me) will first make a judgement call looking at the landing page for a few seconds before deciding if they want to learn more and go through the specs & examples.

Such a great landing page, clear examples and documentation. Good job!

By the way, there seems to be a css bug in the FAQ/quote section (The text shows dark grey on a dark grey background)

market (or technology) pivots into the startup

I think Apple, Google, Twitch & Uber (I don't know enough of the others) were clearly building the right thing for an early market.. I wouldn't say the market "switched to them", it just became more mainstream.

Bubble talk (2015) 7 years ago

Sucks that Sam lost his bet because as far as I'm concerned he "won" his point (I.e. there was clearly not a bubble and all these 1,2,3 companies did amazing). Still, it's great that it's going to a charity

greatest strength of the current implementation is that it has 0 (well ok, very little) explicit state

I don't think that's the greatest strength. I think the greatest strength is how easy it is to get started using it and hooking it to personal tools. Whether it has or doesn't have an internal explicit state is totally irrelevant (to me anyway).

Silly question but on facebook/twitter, most of the fake news I'm getting isn't from ads but from random people I've added over the years that are sharing a bunch of crap. The fact that they'd be paying to access that social network wouldn't change what they're sharing on it.. or would it?

I believe this model is almost always the right starting point for a web application, barring some unusual job requirements or massive initial scale.

Would you run this job queue on the same postgres database as the rest of the application or rather use a different one specific for workers?

My take on it is you can add so much more value to a product with ML, but to succeed you need to have a lot of data.

So you're getting into a "We need to grow really fast to get more data than our competitors so we can add ML and create more value to the product so we can grow faster and get ahead of competitors".

I.e. ML is a competitive advantage which is often hard to come by for startups.

I mean, when you have millions of line of code, it takes many many years to rebuild the system. It may make more sense to abstract away a part of the code and treat it as legacy-API-that-works-fine, and write new code in a new language.

I didn't know about Duane's hypothesis even though I read a few books mentioning the double slit experiment so I'm glad I read the article. In the end, as much as the wave/particle duality seems mysterious at the moment, I'm convinced we'll find a quite boring/straightforward explanation for it.