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For stars you can pull both the locations and times using the github api.

This is incorrect. It's trivial to reverse engineer and use the imessage API and there's third party services which will give you access to it.

Crunchbase is $100/month, it's probably the cheapest of all the products of the market. Should be easily affordable by the average startup founder

The tweet + approach is probably sufficient to bring a lawsuit and get into discovery and then it'll come down to if there's a smoking gun documents (e.g. internal emails comparing the voice to Her, etc.)

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.

You can time the election for when you think it would be optimal for you. (e.g. a summer month will mean students will be at their parents which swings university cities more conservative)

Following IBM's acquisition of Hashicorp the moves seems unsurprising, they wouldn't want to be beholden to a competitor.

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.

If you're looking for something more enterprise focused then https://www.pigment.com/ might be a good fit

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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 [email protected] if you're interested.

I think https://vespa.ai/ has the right approach in this space by focusing on being hybrid - vectors alone aren't great for production use cases, it's the combining of vectors+text that lets you use ranking to get meaningful result.

(I'm an investor so I'm biased; but it's also the reason why I invested)

The messiness of the real-world unfortunately doesn't play well with ambiguity in licences :)

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.

Is the financial institution made up of separate legal entities which bill each other for services, and does one of those entities provide tech infra for the other legal entities?

I built my own a few years back for similar reasons:

https://github.com/imranghory/treemap-squared

The code is pretty straight-forward if you want to customize

Which ecommerce platform are you using? - almost every platform allows a straightforward switch of payment processor.

Ask your VCs/angels for help, this is the kind of thing they can definitely help with.

(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)

Do you think the markets for art prints or sports cards are also scams?

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.

Crunchbase is a (relatively) cheap product for this kind of research.

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.

If they're in a financial position to do so, have them angel invest in the startup. In general my experience has been expert angels add a lot more value than advisors.

Blossom Capital | Software Engineer | Full-Time | London | https://blossomcap.com

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 [email protected]

There’s a few factors at play;

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 challenge is that there aren't really any good alternatives.

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!)

They wouldn't have been insolvent, they just wouldn't be able to process additional transactions until previous transactions had settled.

The trade-off was suspending trading on some stocks vs suspending trading on everything when they hit their limit.

I'd suggest prefixing/suffixing, e.g "get<brand>.com" or "<brand>app.com"

I speak to a lot of enterprise buyers ands startups and it's definitely a major issue when it comes to buying products, especially from a startup.

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.

If you want to use it for family tree research you basically have to go to the companies that have the largest databases, because that's where you'll find familial matches (e.g. 23andme and AncestryDNA).

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.

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Looking for someone with python web scraping/crawling experience.

Drop me an email at imran [@] blossomcap.com

The 1994 investigation of Nintendo & Sega for monopoly practices in game distribution which is the closest historical case.

I think you're confusing the common-usage meaning with the legal definition.

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.

It's not about law enforcement using the data, it's about the viability of running a business that provides illegal hacking services for law enforcement.

Yes, but there's generally not much medical data you can infer from those.

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.