Show HN: Startup jobs of 2018, visualized
startup.jobs
startup.jobs
I think the only interesting "insight" (If you could call it that) is the popularity of different technologies (though not how its changed in 2018 vs 2017, or how it differs by company, or salary range).
Who's the audience - those looking for jobs in startups? Those who research the industry? Job posting sites use their data as a leading economic indicator - can you point to anything in this realm from this data?
Analysis that would make this more insightful and actionable would include:
a) Show the data compared to previous years, to say for example if hiring by month was actually cyclical
b) Jobs by startup - ie, what percentage of Carvana jobs are eng, sales, finance etc
c) No salary information analyzed - probably the most interesting data is missing
d) A table of top 10 countries by no. postings vs their previous year would give more info to your geo graph
e) Is startup appetite for remote workers growing over time? As a number of jobs and as a percentage of jobs - and what areas are there higher % of jobs going to remote workers?
A good example of a valuable data company is Statista [1] (links to how a geo graph works with a table), where they have this sort of data over a longer time horizon - which provides more actionable insights (eg, is my industry growing, what is the penetration rate?).
If there were more ways this pie was sliced then I could see many interesting insights coming from such a useful dataset!
[1] https://www.statista.com/outlook/15000000/109/consumer-elect...
a) Comparison with previous years will be totally doable. As a quick hack you can simply compare with https://startup.jobs/trends/2017 – but I understand ideally you want the graphs to show the comparison.
b) Jobs by Startup. This is indeed something I'm planning to add to the Startup pages like http://startup.jobs/@carvana
c) I agree salary information would be super interesting. Unfortunately very little of that is public information so I simply don't have it.
d) Data goes back to mid 2016 so we don't have a ton of historical data. But for next year I could look into historical line graphs for top 10 companies.
e) I like the idea of cross referencing sector/skill and remote work. I do have the data to compare e.g. engineering jobs versus communication/PR jobs in terms of remote job openings.
Thanks again!
Understandable about salary data, a shame though! Thanks a lot!
C# is definitely not C++ or C. It would be better to lump it with Java.
But how many developers are now going to walk away thinking they should bone up on C since there are apparently so many positions out there for it?
And how many other statistics out there are similarly flawed? How much of our day-to-day off-the-cuff knowledge is based on poor data entry?
ROLE: Sr. Full Stack Engineer Level 5
MUST HAVE:
10+ YEARS JAVASCRIPT EXPERIENCE
4+ YEARS JSON EXPERIENCE
7+ YEARS PERL ON RAILS EXPERIENCE
Linux
Sketch / Adobe Photoshop / InVision
PhD in Machine Learning
And not to soapbox here too much but but sadly I actually have come across a job ad demanding "4+ years JSON experience"What's "Perl on Rails"? Isn't it supposed to be "Ruby on Rails"?
13824 senior positions / 120548 total openings = 11.5% senior. If we assume "senior" only applies to "dev" and "engineer it becomes 13824/(15484+9723) = 54.8%. Somewhere between those sounds right for ratio of senior position ads I've seen.
I'm adding caching as we speak. Expect the site to be back up in a few minutes.
Netflix was founded in the late 90s, so if you consider them a startup, then the term is pretty much meaningless.
This really puts your overall methodology in doubt.
I do think that's the case for Netflix, even though technically it was founded a while ago.
LinkedIn is a bit harder to defend as its business model seems to have stagnated.
With your definition, doesn't Amazon still qualify? It's majorly disrupting markets and rapidly evolving its business model. And it's definitely a tech company.
I mean unless these jobs are serving totally unique products and market otherwise I can envision a future where all these jobs overlap in some form and coagulate into a single giant startup.