blef
Joined 12 years ago
Karma
59
Submissions
90
Member since
Oct 10
Recent submissions
Comment · 2 months ago
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.
Comment · 2 months ago
Looks awesome! If I may, could you add meters support?
Comment · 2 months ago
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 make sure in the thousands of rows/changes that we are reviewing every day we don't have invisible issues while keeping the code standards we expect
Comment · 6 months ago
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 agent that sits on top of it.
You can use the agent from any client (web, Slack, Teams but also other harnesses).
We think most of data analytics work will be transformed (and is already being transformed) from SQL monkeys to chat to analyses, but all the UI/UX are not designed for this and this is what nao is, being open-source because knowing how the context is managed is key.
With nao you can have a conversation and then shared the output on the form of a story, that can be either static or live replacing what old dashboards were.
We are close to 1k stars on Github: https://github.com/getnao/nao
Comment · 7 months ago
I really like the YouTube app to be honest and I really dislike the web version, so to me it does not work.
Comment · 7 months ago
Reminds me https://www.agentsview.io/.
Comment · 7 months ago
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.
Comment · 7 months ago
Thank you! I have to put the Storyboard online and a few screen of what you can do with it
Comment · 7 months ago
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 the context into the filesystem and then you can plug our agent loop on top (on anything else).
The most exciting part is working with sandboxes and emulating filesystems. So at the moment the filesystem is local, but it could be a bucket or a database that we emulate as real filesystem for the agentic loop, all of this can also be mounted to sandboxes, and in the end you can do data transformations all in isolation with control on the context.