Viewing profile — blef

The ironic part of it is, that to my own experience and benchmarks Mistral is by far the worst model from frontier labs at tool calling followed closely by Gemini.

Looks awesome! If I may, could you add meters support?

but the thing is most of the time it's not about what the feature contains or is the feature working? (we have a live preview env where we can try the feature) it's more how can we…

Hey HN, I need to take step back regarding the PR review process. As everyone is saying AI let's us write way more line of code than before, we have code reviewers that are somewha…

I am building nao, an open-source analytics agent. With nao you can connect all your sources of context (from warehouse to your knowledge base) using a CLI, and then you have an ag…

I really like the YouTube app to be honest and I really dislike the web version, so to me it does not work.

Reminds me https://www.agentsview.io/ .

Ironic to see how popular this post is when you see the amount of generated AI companies are at YC (here I also take the blame). Nonetheless I like this policy as well.

Thank you! I have to put the Storyboard online and a few screen of what you can do with it

I'm working most of my time on nao [1] (an open-source analytics agent). With nao we are exploring the fact that agents are good to work with filesystems, so we help people getting…

I feel it's a bit weird to redirect "Get started" to a Stripe page. When clicking on Get started i'd love to see more what's behind like it's used to be. Nonetheless i like the ide…

Not sure about the naming, wouldn't something with Mistral naming better to understand what it is? Like Mistral Code or Mistral CLI or Clistral (lol)

The title would have been event better if: "I had ChatGPT analyze a decade of my Apple Watch data, then it called my doctor"

Supporting Iceberg is eventually having people leaving you because they have better elsewhere, but this is birectionnal, it means you can welcome people from Databricks because you…

Feels old when you see how it played out to become SQL for everything in the data ecosystem lately. Even though SQL as flaws, maybe a lot, it has one upside which is: it's so easy …

sad it's paywalled, but the title is interesting

I'm curious to see how you successfully got working well the types as I'm lost in the nightmare for a few days.