Are you saying that all the YCAdvice data is sitting in a spreadsheet? Other than the effort to categorize all the content, aren't there many tools that let you use a spreadsheet as a database? What am I missing here?
You're right, sorry if my other comment didn't make sense. I was talking about both the data itself and also the YCAdvice discovery and search interaction layer on top of that data.
We did first construct the spreadsheet (where lot of categorization was automatic) but then the real value IMO is being able to understand and make use of that multi-dimensional data really easily. The goal being to explore efficiently and develop rapid intuition for anything. The actual spreadsheet is here so you can see the difference: https://docs.google.com/spreadsheets/d/1xTMF_t_EDG34IjnXo-ho...
We are improving stuff so that Polymer's stack can auto-convert spreadsheets with numerical data and do great visualization etc so it can improve human intelligence beyond just categorical data which is the case here.
Let me know if I can clarify anything. Thank you for checking it out.
So the visual/interaction layer is generated somehow based on the underlying spreadsheet? How are those interface decisions made and how does the UX/UI change from one spreadsheet to another?
Hmmm nice questions. So when I was at Google before, I saw a lot of different kinds of datasets. But I also saw commonalities in terms of not just data types, but also data abstractions or the kind of stuff people like to do with that data. The goal (a difficult one for sure) is that can we automate a lot of that for any dataset so it's still unique and powerful enough for that particular dataset but at the same time can be done by anyone without writing code or ton of manual customization ?
In summary, there is a fairly complex process towards making those decisions. Feel free to pm me at ash [at] polymersearch.com if you want to dig deeper.
As mentioned there are dozens, and Wikipedia will show you[0]. Since CRMs can be bolted onto just about every business, use cases vary extremely. If I'm being honest, every sales manager starts with an internet search to find the latest rundown [1].
My recommendation is to set aside time to play with a lightweight (pipedrive) + heavyweight (Salesforce) options to see how you might use them one day. I would treat CRMs like a regular piece of software. Many offer totally free trials for 1-3 users. So I would bet they agree with this approach :)
There are zillions of all sorts of vendors, however it will most likely boil down into these: Oracle,Salesforce,Adobe,Microsoft,Zoho,Hubspot,etc. Some interesting resource on CRM in general:
https://beagleresearch.com
As for specific products,I'm mainly familiar with Salesforce,so:
https://trailhead.salesforce.com/en/home
The whole backend is in Python + Pandas (which is bulk of the work - market data, quantitative analysis, aggregation, some performance engineering and so on). For the Webapp itself, I used a library called Dash. I recommend it for data heavy applications :)
I am working on a more ambitious (for me) venture to bring Quantitative Finance + Data Science to the DIY Investor community, for Stocks/ETFs/MFs and Crypto. That means being able to distill the market data towards good performance and risk without all the manual research, managing Risk/Reward and Correlations for your portfolio in a more informed way vs basing your investment purely on performance and subjective news/opinions. Things are done quite differently in hedge funds vs how the mainstream still invests. This is a step towards that. I explain more here: https://www.benefits.coinquanta.com/
Can you point me to someone who supports violence against jews who is not antisemitic?
Can you point me to a company that takes an action wrt Israel, but doesn't take similar actions in similar situations elsewhere against other countries that is not following an antisemitic policy?
Airbnb have taken similar actions elsewhere, such as removing listings in Crimea due to Russia's annexation. Nor does the action apply to Israel, but to Israeli settlements outside of Israel that are certainly illegal under international law.
Out of curiosity, are you saying that someone with higher biological numeracy would be better equipped to answer the questions you've posed in your simple intuition example?
I'd say, arguably, yes. And not necessarily because those examples use numeracy directly - but rather because a biological numeracy would provide a foundation to an intuition that would prevent the beginner's mistakes in those examples.
I argue that that biological numeracy is a prerequisite (and a consequence) of having a properly scaled biological intuition. And those examples test that intuition.
Thanks for clarifying. I find this topic quite interesting. I was thinking about the process to create recombinant DNA vs the PCR process and, as a thought experiment, wondered how biological numeracy might have played a role in the development of each. I feel like PCR is a great example of biological numeracy in action (as you pointed out), but I think part of the beauty of the recombinant DNA process is that it demonstrates our understanding of the physical attributes - size, structure, shape, etc. of biological molecules, perhaps even more so than numeracy.
Those "physical attributes" are most grossly characterized with those same measures- size, shape, length, stiffness, etc. And if you have access to those simple attributes you get a lot farther than if you just think about a genome as a magical information store.
