Agreed. As someone making a very technical product, I can see how lack of documentation hinders my sales process -- potential customers want to try out my software, but the lack of documentation makes it difficult for them to overcome their inertia.
As you did, I plan to spend the next couple of weeks just writing docs. Just want to lend weight to your comment. :)
Seems we're both in the same boat! Exactly. If on live demos, they go like "wow, didn't know this case". That's exactly what you should go write after. I have a huge list of things to write about.
Hope you enjoy the podcast, there are some gems there about SEO. Ruben Gamez —the person in the podcast— was also technical and learned his way around SEO.
Very happy to share - my co-founder and I started a company called Simiotics, where we offer metadata stores for data, preprocessing functions/transforms, machine learning models, and statistics. We also have tools that integrate with these metadata stores to automate work that most data science teams perform manually today - running preprocessing jobs, updating models in production, monitoring the distribution of data and predictions in production models, things like that.
Our pitch is that, instead of having to do complicated things like set up an Airflow cluster, spin up a Kubernetes cluster and build helm charts, manage Spark, etc., a data scientist can just call out to our APIs from their Python programs (which may be running in notebooks), and we take care of the stuff they need to do but don't want to do.
These are our docs: http://docs.simiotics.com (They are in a very sorry state, and it embarrasses us to post them here, but we are going to use that embarrassment to push us to make them better!)
As you did, I plan to spend the next couple of weeks just writing docs. Just want to lend weight to your comment. :)
Thank you for posting the podcast.