25 small biology apps for day-to-day experiment planning, built in a couple of hours on GLM-5.3.
Plot the full distribution of synthetic Indias. Click a point to see that mix.
SEBI-mandated Indian MF data, actually explorable without rolling your own ETL.
Resume classifier. Streamlit app plus GitHub.
Who created more money for others than themselves. Includes historical names.
During early access to GLM-5.3, I built this website with 25 separate small biology applications, each of which is quite useful for day-to-day planning and performing experiments. It only took a couple of hours and a few edits. That’s pretty remarkable! benchkit-sigma.vercel.app
x.com/tshangdas/stat… I built a tool to plot the full distribution of "synthetic Indias": tshangdas.github.io Click on any point in the scatter plot to plot that particular Synthetic India.
NEW PAPER: INTO THE MODIVERSE: Exercises in Grierian economics. Grier's groundbreaking work uses a "Synthetic India" (38% Ethiopia, 28% China, 25% Bangladesh) and proves Modi's India underperformed "Synthetic India". Inspired by this, we construct a new Synthetic India: 30%
TLDR: I built an explorer for Indian mutual fund data. If you're curious or just want to explore this data, try it out at …n-financial-data-explorer.netlify.app
Recently, I was trying to build out something on top of mutual fund data for my partner. I was annoyed to find how difficult it is to work with Indian MF data. SEBI mandates public disclosure of this data, but to even begin to use it, you need to practically set up your own ETL
I built a Resume Classifier. Here is the to check it out classr.streamlit.app Github Repo :github.com/vee234o/classr More info here :linkedin.com/posts/oreoluwa…
I built this about a month ago but it was very crude inverseforbes.vercel.app I also added a few things like a version including people not alive anymore and a ratio between the wealth they created for others vs for themselves.
The wealthiest man in the world still created over 2.3x more money for others than himself
