davismartens

Thanks. I ran this as an experiment, and while the smaple size is small, results have been phenomenal for me personally. Just very time consuming.

Please share your feedback. I’m working on a platform that pulls customer events from every channel, measures what actually drives lift, proactively identifies the next best step, and triggers the right email when it matters.

Its essentially a modern Customer io/Braze with built-in incrementality around event sequence that identify important moments.

Ho do you currently engage customers?

I’ve been thinking a lot about how Software has always required us to adapt to the UIs and workflows someone else defined as “the right way”. Every CRM I’ve ever used, assumed I’d spend hours inside its UI, filling out forms and updating fields. But the truth is, I only do that because it someone designed it that way. There is no value in the UI, in fact I hate it, but I have do it anyway, because it's the only way to get the answers I need.

We'll I just shipped something different: a CRM that lives in your inbox.

https://chuff.co is built around the idea that the next generation of apps should meet us where we already work — in emails, in meetings, in messages — and quietly take care of the busy work in the background. You build your own district workflows as "agents", and you can include them in conversations to complete tasks (starting with Email). For example, you could forward an invoice and say, "Make sure this invoice is correct, then update QuickBooks and let Gary from finance know so he can approve".

These aren't chatbots, but virtual teammates that complete long tasks in the background asynchronously.

Yes you may still want to dive into the UI, but the point is that you don't have to.

Do you think this could be valuable or is Email as an interaction mode AI a terrible idea?

Only a pretty basic version right now that I built in a week. If people find it useful I will connect it to data and make it more useful.

Spin up VMs/GPUs to run python code in the cloud from your CLI or terminal.

The dev experience for AzureML and Sagemake CLIs is so bad that we built dstack.ai out of pure frustration. It's a free (and soon open source!!) framework that allows you to run python code in your cloud accounts. AWS currently but adding Azure and GCP in the next few months.

You can run your workflows directly via CLI similar to Terraform.

Our main use case is for long running tasks where you need to spin up VMs on-demand to run large data processing, scrapers or train ML models without being locked into a specific cloud vendor (there might be other use cases you have).

It’s pretty straight forward and you should be able to run code in the cloud within a few mins directly from your terminal!

FIY our Docs aren’t great yet so just ping us here or on slack if you need help. Happy hacking!

If it's just a landing page, WordPress is what a lot of people use. You can also download or buy templates and the Elementor plugin will let you pull pages together very easily.