DuckDB is amazing for any sort of fast data analysis when the data is small enough that it can fit on your laptop
Recently at work I've been using it to analyse the Claude code sessions of every engineer at our company (that we upload to S3) and it's been extremely helpful to help us find gaps in devex and have clear metrics to back up the impact of fixing them
Another thing it's been really useful for has been getting metrics on Claude skills usage and then dive into use-cases by looking at the transcripts
Other engineers that had never touched DuckDB were so impressed with how easy it is for AI agents to write queries on our dataset
Congrats on the launch, this looks very promising. I hadn't seen any installation that uses a URL to point to a skill, seems like an evolution of wizard scripts
That been said for more complex setups like on kubernetes where you need a collector and an operator I found OTEL to be super painful to setup a couple of years ago. Has it gotten any easier now?
Great article as usual, got a flashback to reading your first post on here 8 years ago. At the time I was starting my career in tech by building small projects for fun and launching them on Product Hunt. Great to see you’re still going at it!
To be fair I remember spending almost two weeks implementing OTel at my startup, the infrastructure as code setup of getting collectors running within a kubernetes cluster using terraform was a nightmare two years ago.
I just kept running into issues, the docs were really poor and the configuration had endless options
some of the design interactions are really polished. the section written with the quotes from founders is really cool. the hover effect with the before and after of the YC partners is a great touch too!
to be fair at least half of the software engineers i know are facing some level of existential crisis when seeing how well claude code works, and what it means for their job in the long term
and these are people are not junior developers working on trivial apps
The primary exfiltration vector for LLMs is making network requests via images with sensitive data as parameters.
As Claude Code increasingly uses browser tools, we may need to move away from .env files to something encrypted, kind of like rails credentials, but without the secret key in the .env
i tried this and it's pretty cool, that being said for my use case of spinning up many agents working on my app I'd need a way to specify the docker images that get started with each new VM
i cannot find a way in the docs to start new VMs with a bootstrap script that starts a bunch of services for me and runs a specific docker image
my use-case is that I want a full developer environment for every branch of my project, so i can vibe code on many VMs at a time
EDIT: Just realised there's an image one can pass to the new command. Still it's not clear to me whether private images would be supported and what registry this is using:
exe.dev ▶ help new
Command: new
Create a new VM
Options:
--command container command: auto, none, or a custom command
--env environment variable in KEY=VALUE format (can be specified multiple times)
--image container image
--json output in JSON format
--name VM name (auto-generated if not specified)
--no-email do not send email notification
--prompt initial prompt to send to Shelley after VM creation (requires exeuntu image)
Our core product is an analytics product that lives on people's website, so we're able to tell what are the main pages that people are reaching with LLMs
For our in-app AI visibility product we use that information for finding prompts at topics that are being used to reach those pages
For this public tool instead we do a best guess of what are reasonable queries companies would want to show up for and run them against Google and ChatGPT
Hey there Ferruccio here, I worked on this launch for the past month since joining Amplitude
We built this tool because we’re seeing that LLMs are becoming the main way people compare brands when making buying decisions, even before visiting your site
I’d love to get feedback from the HN community on this.
If you want to skip the video explainer you can generate a report directly by typing in your brand here: https://amplitude.com/try-ai-visibility (no email required, it just takes 5 minutes to generate)
June W21 (acq. by amplitude)