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.
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?
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 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)
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.