botulidze

The idea is to see trends and try to apply AI for correlating, at the first glance, completely unrelated data layers. Example how I'm thinking about this one: there's somewhat clear correlation that I sleep better when I do above average steps per day. How is my sleep quality affected if, let's say, I did above avg steps with a bad air quality at that time? (i.e. wild fires / pollen season / etc.)

I've built a Go application to ingest those data sources and currently finishing my first import use case - Apple Watch data.

Would be happy to connect and chat about this.

It took 3 months from registration to sending her first invoice. The longest wait was on the bank account: a very few places are willing to open company account if you don't have an EU residency. Without the bank account, she couldn't deposit founding capital (základní kapitál) which is required to complete the registration. It's even funnier cause the minimum amount to deposit is 1 CZK (5 cents).

Total cost to start business was under $8,000. The most expensive were legal services: writing down all contracts and customer agreements was around ~$5,000.

I feel like this is such an untapped market for getting digitilized. I was thinking to actually sit and vibe code it at some point but can't imagine doing this alone.

Brain to machine signaling interface is the logical step forward if we really want to be faster at input.

My 2024 resolution is to stop opening multiple HN tabs and never finishing majority of them to read through :-)

Thanks, haven't checked those two.

> I'm surprised ServiceNow isn't trying to break into this space.

Last time I ran SNOW a few years ago, it was slowly but steadily heading into the SAP trajectory - highly-customazible per customer needs, expensive to pay and even more expensive to migrate onto. And it doesn't seem to prioritize any developer-oriented features to appeal to that crowd.

I.e., they have GitHub integration but it's not something I could convince a developer to use on a daily basis unlike Jira's one: https://docs.servicenow.com/bundle/vancouver-it-asset-manage...

I had a lot of hopes for Github Issues [0] but since they announced the product on last year's Universe event, there were not many news. Maybe this November they will come back with an update.

At this point, I feel Jira is like WordPress. It maybe slow and overbloated, but you can have absolutely any plugin and/or integration you can think of.

[0] https://github.com/features/issues

If I use your example,

- 75 kw battery to full is $30.75 and it's $10.25 per 100 miles;

- 2 gallons for ICE to travel 100 miles, it would be $12.8 per 100 miles.

So electric car would be a clear winner. If I factor in charging at 80% efficiency, it's $12.3 - only a $0.5 difference.

And the country I live in has the 4th highest energy price in the entire block.

Two points I would also consider

1- the service cost of an ICE car would be higher in a long run compared to the electric one due to higher complexity and more moving parts.

2- electric's car battery will wear down overtime and it will probably run less during winter.

I don't have much data though to elaborate on those points.

Observability platforms - Elastic / DataDog / Splunk / new era platforms

Incident management and alerting - PagerDuty / OpsGenie / FireHydrant

Status Pages - Atlassian / PagerDuty / new era platforms

Would be really keen to read someone's experience on Jira on-prem / Cloud / alternatives considered.

I owned a basic wordpress site with some guides written during COVID for a couple of popular (at that time) mobile games. It appeared in top 3 searches for the <game name> + <guide/event/best ...> combination.

Ad revenue was around ~$100 per month peaking around ~$150 at the new content drops. I have abandoned the website since, but it still is generating $100 here and there without me actively working on it for the past 2 years.

To the point - yes, there's lot of money if you own a network of similar websites. My competitors were paying $10-30 per guide submitted on their website because a few guides could easily get paid off in a couple of months from ad revenue and keep generating it years afer.

I could write more detailed story if someone's interested.

1) samsung s10 (2014) -> iphone 8 (2018) -> iphone 13 mini (2022) -> no replacement planned since Apple dropped mini lineup.

2) gaming pc: amd fx-8350 (2012) -> i7-6700k (2016) -> 7800x3d (2023) -> hopefully no replacement till 2027

3) tablet: nexus 7 (2012) -> galaxy tab s3 (2018) -> ipad pro 2021 (2022) -> unless battery completely dies earlier than in 4 years like it happened with nexus 7 (making it stationary device).

So overall, my update cycle is every 4 years on avg, with PC upgrades having longer cycles thanks to exceptional performance of the chosen platform at the time

I.e. I still have i7-6700k working at another location and delivering strong both for productivity and gaming use cases.

I had a break for a year and now it's great time to start blogging again.

I would like to bring doctor Peter Attia's perspective on this - which he mentioned on another podcast with Tim - is occassionally drinking something he really enjoys to the point that "if that glass of wine is not good enough, I will pour it down the drain".

So I tried a few times between now and then, even though I enjoyed it, the aftermath of not having even the slightest effect next day - which I got used to when not drinking at all - convinced me to give up this idea.

The social pressure, though, is real. It's like a habbit which everyone is so much used to, that the alternative "world" with no alcohol feels like a non-existant to some people. And if you fire up a conversation why, there's rarely a good reason why they are so attached to this belief.

I went for 2 weeks abroad with a week vacation and other week working remotely. There was no hotel in the area to provide me with the proper accommodation. But Airbnb did that just fine.

So I don’t necessarily see those services and companies behind as pure evil. I would say the government running behind and reactively setting limitations rather than proactively thinking about the way to move forward is an issue here.