jono_wilson
Joined 10 years ago
Karma
23
Submissions
17
Member since
Aug 31
Recent submissions
Comment · 3 years ago
Comment · 3 years ago
I wrote a blog post about using job post data to predict startup fundraises: https://www.coolstartupjobs.com/blog/predicting-startup-fund.... You can predict a decent chunk (~25%) of fundraises with this approach!
That was originally for a job board, but job boards are very saturated. I've pivoted to a data newsletter for startup investors to identify companies that are fundraising before you read about them on techcrunch: https://startup-spotter.beehiiv.com/
Comment · 4 years ago
This looks really cool! Can't wait to try it when I'm listening to podcasts on my walk; are you using a paid API for the transcript or are you using an open source solution yourselves?
Comment · 4 years ago
I’ve been working on a job board for startup jobs[0]; if you want to work at a startup, there are more companies than ever, but it’s also harder than ever to know which one to work for. I track number of job posts over time so jobseekers have some data about how much a startup is growing, and I’m hoping to add more types of data as time goes on. Why should investors be the ones who get all the data about startups? Job seekers should, too!
It’s been fun to work on, plus it’s a challenging technical problem: in order to scrape job posts for many companies, you need to make a very generic scraper since they all have different formats and you can’t rely on HTML structure.
Comment · 4 years ago
I agree with you, that's how I viewed it. I've distributed typeform in the past and thought it would have been nice and acceptable to record partial answers given that each step feels like a submission; kind of like if I enter my shipping address in step 1 of a checkout process, it is stored once I move to the billing address in step 2.
Comment · 4 years ago
I've really enjoyed:
Comment · 4 years ago
Yeah, I'm sure it can vary widely; we try to stick with US timezones, which at least brings all of South America into play. Deel is really great for the legal issues of onboarding international folks.
Comment · 4 years ago
Want to email me at [email protected]? Just let me know the site and I'll add you.
Comment · 4 years ago
I'm using typesense (https://www.typesense.org), a really great open source alternative to algolia. I'm using their cloud offering, but you can self-host as well, it's awesome!
Comment · 4 years ago
Good luck on the search! Particularly curious to hear your experience with recruiters; even though that industry should be really competitive at the moment with the great resignation and all, I've found they still feel kind of general and don't necessarily make great matches. But that certainly could just be my own limited experience with them, maybe the key is to find niche recruiters?
Not sure if you're interested in startups at all, but shameless plug: I recently made a startup jobs board[0], it tracks number of job posts each company has over time and ranks them so you can see how much each is growing.
Comment · 4 years ago
Hey all, I recently created a job search site called coolstartupjobs; it shows the currently available jobs from startups, but also shows each company's history of job posts over time so you can see how much hiring they have done; this can be (though is not always) a useful signal in understanding how much a company is growing. Each company is assigned a rank based on its percentage growth in job posts in the past 30 days; for example, cowrywise (YC S18) is the #1 ranked company right now; they had 1 job opening last month but have 7 openings right now.
When I was looking for a job, I knew I wanted to join a startup, but I found it hard to figure out which startup would be a good one to join; there are many reasons to join a startup, but when part of your compensation is in stock options, you want those stock options to be worth something some day. I thought a source of information about startups for job seekers would have been really helpful, so i made coolstartupjobs to try and give job seekers more data.
Right now, I do only have job post history, but I'm looking to add more data as time goes on; I'm thinking of change in domain rank, various data from crawling news sites, and fundraising data, but I'd love to hear if anyone has other data they're interested in seeing.
Note, I do only have YC companies at the moment, but I'll definitely be adding more companies, especially if this strikes a chord with anyone.
Let me know if you have any questions, thanks all!
This is a great library for determining which speaker is speaking during each time in an audio file (this is called speaker diarization); I imagine they used it or something like it. Works really well out of the box!
https://github.com/pyannote/pyannote-audio