creating data stories was one of the great joys of my past life. fun to get back to it, esp with my man claude at my side! we will have more situations for you to monitor soon!
~25% of all seaborne oil flowed through the strait of hormuz until this war began. traffic right now is ~96% lower than usual. the deal maybe signed, but the real metric is if the ships start sailing.
checkout this data story covering the ongoing chokehold on this critical world infra, as it unfolds.
this is fantastic! if you want what ramp did inside your company, @minusxai can help! :)
remember, llms cannot do magic. if you shape your data a bit and provide enough context, you can get a pretty magical data experience!
how is @claudeai's claude code so damn good and how can you recreate its magic in your own llm agent/workflow?
intercepted all cc calls over the last few months and wrote up a 2k word guide on this! (all prompts, tools linked in comments)
main takeaways (0/3):
0. debuggability >>> everything else. most of the magic is in designing good (low and high level) tools and prompts to let the model shine. keep it simple
our customer wanted to use @minusxai so bad we had to migrate all their queries and dashboards from redash to @metabase!
So much so we made a repo for one click migration: https://t.co/nghWfgxgXR
hmu if you want to move!
minusx memory: minusx md
i love using claude code and one of the main reasons it is so good is the ability to just state your preferences via claude md file. but this is totally absent in analytics, where the problem is 100x worse - custom definitions, custom metrics, specific slices you want to see, etc.
new release time! 🚀
Dashboards are where data-driven work begins. I spend a lot of time on dashboards and if I want to dig in, I’ve to copy SQL and head over to a query page and work through it. If I have custom metrics or dimensions, it is pretty much gg.
We fixed this on @metabase! You can just ask @minusxai questions, and get answers, directly on any dashboard.
Wrote about it in a blog post: https://t.co/ykMq2NBUKP
FYI, you can add this to your Metabase in <5 mins!
How many of the votes are *really* up for grabs in today's presidential election? One way of looking at it is seeing which counties remained with 1 party vs switched parties in the last 6 elections.
Crazy that it is basically ~30-30-30 split.
Our goal with @minusxai is to give you an AI analyst that sits with you 24/7 in all your data exploration, analysis and presentation - wherever you are! Super super thrilled to add @googlesheets to our arsenal today! You can use MinusX on sheets! 😬
Imagine having an AI data analyst in your Sheets!
Excited to announce that MinusX now adds on to Google Sheets with a simple one-click install: https://t.co/NvuRPZW0EY
If you use it & have any feedback/suggestions, please DM me! Here's what you can do right now:
This was us haha. @ppsreejith_@arpit_tarang and I built @karpathy-fy! It takes a paperswithcode link, your current proficiency and gives you a tailored 5 lesson plan to go from where you are to the meaty parts of the paper implementation - like the karpathy video series / labml style. This is a task none of the previous models could do, and O1 was really good at.
The best part? The output is an executable ipynb notebook (which you can use @minusxai to work through :) )
The below video has apple's recent monocular depth paper. I could actually go through and understand it, with loss functions from the paper and everything!
One of my favourite things about using @minusxai is that it makes all my Jupyter Notebooks self-healing!
All of these can work on your own notebooks, like today! :)
1/4
@deepfates@metabase Checkout https://t.co/KxS1HlnMJA. It is a chrome extension that does exactly what you're describing + has full context of your tables and schemas which you can't copy over to claude/gpt. You can install and use it in the next 2 mins!
Also, the extension is open source :)
@colemurray For sure! We were also sketched out by how innocent some of the permissions sounds. The norm should be for the extensions to obviously be open source.
We just open-sourced the entire MinusX chrome extension on GitHub under MIT License! The three main motivations for this decision were: Trust, Extensibility and Incentive Alignment.
Read more about it in our blogpost: https://t.co/dyzKKeyKqU
Incentive Alignment: We don't want to lock you in, we don't want to sell your data. We want you to have the best data science assistant sitting with you. And when you win, we win.
Extensibility: We imagine almost all software we use today to either be replaced, or retrofit with AI. The retrofitting will not always be done by the makers of the original software. We're inspired by @comma_ai and even have adopted their opendbc folder structure! ❤️