12,020 karma · joined March 29, 2008
It's likely that someone internally must have noticed the similarity so there's like some kind of comms around it so it very much will depend on what was written in those conversations.
We'll inevitably see others large companies follow suite - it was one thing when hashicorp was independent tech company but it's very different when it's owned by a direct competitor.
Software engineer who wants to work in VC? - come help us build our data science platform and learn how to invest.
Drop me a note at imran@blossomcap.com if you're interested.
(I'm an investor so I'm biased; but it's also the reason why I invested)
It'll be a headache for every large company which now has to send the licence to their legal teams who have to ask these kind of questions (another interesting one is "can contractors touch our terraform setup?") - in fairness to Hashicorp they've tried to address some of these issues in their FAQ, but the FAQ isn't legally binding so legal teams have to go on what's actually written in the licence.
https://github.com/imranghory/treemap-squared
The code is pretty straight-forward if you want to customize
(Speaking from experience - one of our portfolio companies had a similar challenge and we used our network to get to one of the execs of the vendor involved)
Collectable markets behave fundamentally differently from utility good markets so it's often hard to reason about them when you try to apply logic from one type of market to another.
I'd suggest talking to other vc-funded fintech founders who've raised at your stage in the last couple of years, especially for products that sit in parallel spaces to yours. They'll know who the relevant fintech investors are because they'll have spoken to many of them.
Blossom is one of Europe's leading Series A VC firms, and technology is a core part of how we operate, from how we source startups to invest in to how we run due-diligence.
We're looking for a commercial-savvy full-stack engineer to help us build out our internal technology tools. You'll be a core part of the investment team and help us find the next generation of break-out startups.
It'll probably be the best fit for someone with a couple of years of experience (ideally at a fast growing startup), but we're happy to consider fresh graduates if you've had [internships|side projects|open source contributions].
(onsite in London, but we can also help with visas, etc. if you're looking to relocate)
If you're interested drop me a note at imran@blossomcap.com
1) There’s customers who will pay 15k for the exact same users/features as you’re willing to pay <3k for. If they offered a cheap package then those customers wouldn’t pay for the expensive package.
2) Sub enterprise customers are a pain, they’re often as expensive as enterprise customers (acquisition, support, etc) but with significantly less revenue and higher churn. When a company decides where to focus it’s going to go where the money is.
The alternatives suggested (Plausible, Fathom, etc.) are fine for hobby projects, blogs, etc. but they don't support any of the modern analytics required for commercial usage.
If you're running a business then you need an analytics solution that supports attribution modelling, cohorts, funnels, etc. and there's just no great competitors.
(I'd happily invest if someone's building one!)
The trade-off was suspending trading on some stocks vs suspending trading on everything when they hit their limit.
There's a big difference between what a product does in theory vs in practice - and social proof is a big guiding factor for what it can do in practice.
23andme has a better track record of refusing governmental requests than AncestryDNA.
In terms of genetic information sharing, none of the providers shares non-anonymized data. 23andme allows an opt-out for sharing anonymized data.
You can also do the tests pseudo-anonymously, while they ask you to provide your real name, etc. you don't actually have to do so. You can purchase a test kit at a retail store for cash and register online with a fake name if you wish to do so.
Looking for someone with python web scraping/crawling experience.
Drop me an email at imran [@] blossomcap.com
Generally in Europe the market share threshold for monopoly investigations is 25% - Apple's market-share for mobile app sales is well above that threshold.
You're right that you could reconstruct parental haplotypes, but that reveals a fairly limited amount of data, typically you'll share haplotypes with many millions of people.
(obviously if your threat model includes intelligence agencies, etc. then your calculus might be different)