158 karma · joined July 7, 2019
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.
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.
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.
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.
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)
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.
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).
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?
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.