Not sure if the joke was if they were valued at $100M or not. But they last raised at Unicorn valuation. If they’re selling 10% of the company or less for $100M, then they’ll still be a Unicorn.
Andrew Yang is the Trump of tech. And his brand of politics is more a dangerous threat to democracy than Trump’s is. His messaging and policies are just like Trump’s in that they’re dumbed down, optimized for social media likes and subtly enforce a world view where extreme income inequality is inevitable so let’s make the best of it. AI/tech isn’t going to kill the middle class by itself. This destruction will be assisted by technocracy propagandists like Yang.
> By analyzing the blockchain and de-anonymizing bitcoin transactions, the agency was able to identify hundreds of predators around the world - even though those users thought that they could remain anonymous.
Who would’ve guessed the blockchain would help the government catch criminals!
Hi, this is Dylan, a co-founder. It's a great question. Having built many applications on Lambda this is something I think about a lot :) .
We've found that for integrations or common automations, building on a cloud platform is too low-level. Frequently you're working with more than just a Lambda. You've got to manage a number of services that aren't core to your use case (e.g. API Gateway, IAM, Cloudwatch Logs, etc.). There's a lot of boilerplate config, and many of these services are tangential to the core logic of your app.
We operate at a higher level and just give you an execution environment to run Node.js code or stitch together pre-built actions, similar to integration platforms like Zapier. We manage the HTTP endpoint, function config, and give you built-in observability. We also provide higher-level services, like built-in app integrations and OAuth / API key-based authorization. Building this yourself on AWS can take time.
This kind of abstraction isn't great for every application, but we think it shines when you're building integrations between services.
I'd love if you had time to sign up and see how this works! It's free to use and we'd love the feedback.
Let me know if that answers your questions, or if you have any more!
Your comment has me imagine a more visual, GUI-based editor on top of AWS Lambda (i.e. hooking up all sorts or internal/external events, tying workflows or multiple Lambdas together, still including a small editor for writing JavaScript, etc.)
I mean, you can write code in-line with AWS Lambda but to have an application help setup multiple Lambdas and/or integrate outside APIs would be pretty neat.
Looks great! Thanks for the hard work Streamlit team. Our team started using Dash recently for an ML project and quickly got lost in callback hell and switched back to a notebook. This approach is so pythonic and elegant. Looks like it would handle our use case with much less code and callback related head aches. I’m excited to share it with our team!
I doubt 99% of the community is so humorously pessimistic. This functionality can be easily replicated in several databases (with triggers and the like). Generated columns l make a common pattern simpler and more explicit. Maybe it’s not a useful feature for everyone but it’s certainly not some instant tech debt like you’re implying.
This is just the beginning. Start microwaving some popcorn because this will be quite a glorious train wreck to watch! Hopefully the negative impacts are economically isolated.
