dpandya
Joined 9 years ago
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Member since
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Comment · 4 years ago
Verse Medical | Full Stack Software Engineer | NYC preferred, remote (US or Canada) also works | Series A startup
It costs nearly $12,000 a night to spend a night at the hospital in the US. We're building software that allows patients to recover at home sooner and with better results. We're backed by top investors in technology & healthcare (e.g. Y Combinator, SignalFire, Paul Graham, etc.)
We have a product & engineering focused culture with minimal bureaucracy. We use Python and Typescript with GraphQL to tie it together. But, we're confident good engineers can learn new technologies so we don't require any particular language/framework background.
We're growing fast, are well-capitalized and growing our engineering team!
Hiring across a range of experience levels (new grad to staff). Email dhaivat AT versemedical.com to apply.
Comment · 7 years ago
Please correct me if wrong, but these are likely measured via the book value of the investments which reflects the private market valuations of the companies you mentioned.
Comment · 7 years ago
The target market for Google Hire was probably Lever's (https://www.lever.co) customers, i.e. mostly funded startups and other companies hiring white collar employees. For these businesses, $200-400/month for an Applicant Tracking System is pretty inline with market. Lever's pricing is higher as far as I've seen.
Comment · 7 years ago
As someone working in this area, this is an interesting article.
The core issue of compliance is somewhat buried in the text, but worth pointing out. Optometrists' chief complaint is that very few offices seem to be prescribing the Hubble contacts brand specifically and yet, Hubble seem to be selling them to customers. This implies to them that either all prescriptions aren't being verified or are somehow being "passively" verified. Within the current rules set in place by the FTC, they believe it's unlikely quite so many prescriptions are passively verified.
The FTC is actually actively working on developing new rules around prescription verification to address some of these concerns. [1]
[1]: https://www.ftc.gov/news-events/press-releases/2019/05/ftc-s...
Comment · 7 years ago
You could make this same argument to argue that Slack would fail against email.
Something like: there are all kinds of email integrations, user-specific and group-specific setups, etc. at companies. How can Slack ever compete?
The answer was that Slack was so much better for many companies that it made sense to suffer the pain of switching.
The company that beats Slack will likely be 10x better communication software or something very similar but distributed much more effectively (maybe Microsoft Teams in the enterprise).
Comment · 7 years ago
On the flipside: if you're a person that's convinced Uber should be valued at a fraction of what it is and you're not shorting it, why aren't you?
You might argue the market will remain irrational, but this is unlikely to be the case for 25+ years. This should mean that most people set against the Uber IPO should hold a short position with at least a small portion of their net worth. Doesn't seem like this is the case.
Comment · 7 years ago
Whether or not a company is a "tech" company is kind of a muddled question, but taking even a brief glance at https://airbnb.io/ (their engineering blog) makes it clear that AirBnB does some pretty serious engineering.
For example, their post about their work in search ranking is quite interesting [1].
[1]: https://medium.com/airbnb-engineering/machine-learning-power...
Comment · 7 years ago
I meant applying a linear approximation.
Comment · 7 years ago
Not meant as a critique to this book, but the fact that RL-based approaches rarely work for optimal control problems (in, for example, robotics) came as a surprise to me, given the hype and focus on RL [1]. It turns out that model-based methods for optimal control (e.g. linear quadratic control) invented quite a long time ago dramatically outperform RL-based approaches in most tasks and require multiple orders of magnitude less computational resources. Maybe there's some hope for RL method if they "course correct" for simpler control methods. At the moment, it seems like RL for robotics and control lies to the side of "research" and not "engineering."
Comment · 8 years ago
This seems like a questionable comparison.
Apple Music, et al. license content and there are few companies that are able to do this. This creates a barrier to entry that wasn't present for the "content clubs" Gates discusses. In fact, his primary point is that due to the lack of a barrier to entry in the market and no accumulating advantage of any kind, there wouldn't be a single dominant player.