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izyda

191 karma · joined March 10, 2014

Writing about hedge funds x data x ai: https://magis.substack.com/

About me: HTTPS://alexizydorczyk.com

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izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Shoot me at email at alex.izydorczyk@cybersyn.com
izyda··on Data as investments in LLMs, art models, and AI startups?
Check out startups like the below:

- https://www.caden.io/ - https://www.joinklover.com/faqs

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
https://www.cybersyn.com/
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
This is where the inspiration came from, indeed. https://magis.substack.com/p/project-cybersyn
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Sorry to disappoint but unlikely.

This type of product is generally meant for very large enterprises, so this is already an entry-level product at best.

We do make a lot of related economic data available for free though that is published by government sources. I think often what is publicly available and collected by the government is under-appreciated - the level of granularity of government inflation statistics by product category is outstanding for example.

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
That's true but you would sort of expect those datasets to be the most popular just given the addressable market for those is by far the biggest (essentially every enterprise probably requires some degree of weather, Covid, and economic data).

What sort of exotic data would be useful to you, out of curiosity?

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Cybersyn
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
- IRI sells syndicate (aggregate) data on CPG sales -- individual brands in the store -- not at the merchant level (ie. Chipotle) - Kroger/Walmart sell more detailed versions of that, but for their own stores AFAIK - I am not familiar enough w/ Argus to know to be honest, but I do not see them come up for competitive intelligence use cases (which is what we are aiming for) outside of card issuers/merchant acquirers themselves.

That said, we obviously have competitors. We are trying to differentiate with our data accuracy, focus on data scientists, and focus on Snowflake approach.

Obviously, this is a first product: we hope to add to it. See the vision here: https://magis.substack.com/p/datanomics

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
The assumption - and maybe it didn't work - was that folks would just try the data (it is free to try). I do think one great thing about the Snowflake Marketplace is how the trials work -- you get a lot of flexibility. Of course, you need a capacity Snowflake account to do so -- but the product is meant for enterprise users.
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
We're building our entire company almost exclusively on the Snowflake stack. The fact that that is possible, definitely shows you how Snowflake has evolved from just a "warehouse" to a Data Platform (or Data Cloud to use their terminology).

The Marketplace, Streamlit, and Native Apps stand out as particularly cool/useful.

More than anything, just the completeness of the platform (ie. data quality tools, governance, etc.) is super helpful to not have to cobble together.

The AI features they announced today also seem game-changing.

Of course, full diclosure, they are my lead investor but I chose to work with them for these reasons.

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Most of the large data providers (S&P, Factset, Nielsen, ZoomInfo) have started to do so. I would say that they have partial solutions -- they do not list their entire catalog of assets on the platform.

Cybersyn is obviously a startup explicitly trying to do just this -- AFAIK, we're the first "Snowflake Native" startup but it is hard to tell, there are more than 2200 data products in Snowflake Marketplace already so I easily could be wrong.

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
In general, we're sourcing from a variety of 1st party sources.

But yes, the long term vision is to make this all joinable (https://magis.substack.com/p/datanomics)

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
I am a big admirer of what Second Measure built before their acquisition.

- Different data sources - More accurate (though this is of course debateable, our plan is to publish benchmarks, accuracy, transparency, etc.) but this will always be debateable - Focus on data scientists & Snowflake users (rather than a SaaS platform)

Obviously, this is a very early product. The key is to join types of datasets together, while maintaining accuracy (see vision outlined here: https://magis.substack.com/p/datanomics)

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Might be a render error on the Snowflake side -- check https://docs.cybersyn.com/our-data-products/consumer/consume... instead
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
It is aggregated data. You are correct that if someone were selling data on individual cards, it would be a lot more expensive.
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Yeah interestingly, Venmo makes (or at least used to make) every public transaction available in their API
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
This is correct. Note you are not getting just the dashboard, but you are getting the underlying data itself too -- so you can write arbitrary queries. That said, it is meant for large enterprises that have a clear path to ROI.
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
I definitely agree Snowflake Marketplace should have this.. there is no technical limitation.
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Credit and debit cards
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
I wasn't quite clear - we don't have access to identifying information in the data (ie. we could measure Venmo but not that John Doe paid $X to Jane Doe at phone number XXX-XXXX)
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Yeah that's fair. The tables are all in an EAV format (narrow), so the number of columns coming along here is very small (you would filter for Chipotle/McDonalds in your WHERE) but it is fair that that sample query could be more instructive / better practice to name columns.
izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
We're doing almost everything entirely in Snowflake. Snowflake is our lead investor (https://www.reuters.com/technology/data-startup-cybersyn-rai...) and we've found it extremely helpful to build entirely on their technology.

We're ingesting from S3 or FTPs usually.

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Hey founder here -

It would be indeed great if Snowflake allowed us to preview the data. That said, if you have a Snowflake account, you can mount it and automatically get a trial (you can run arbitrary queries against it).

The data is aggregated at a weekly level, by category, merchant, and demographics. It is not single individuals' data if that is what you are after.

izyda··on US consumer spending dashboard built on data from 50M+ cards now on Snowflake
Hey there - founder here. We can indeed break down by payments in these FinTech apps. There are privacy concerns with certain aspects of this, which we of course could not touch. However, measuring the "shadow" economy, of course, serves a legitimate purpose.
izyda··on Company Index Mapped to CIKs, EINs, LEIs, PermId, and OpenFIGI
Cybersyn is building a Company Index ("security master" for finance nerds) to support joining companies, subsidiaries, and their brands together in a hierarchy. This is a persistent problem across companies and a major missing join key. Our recent SEC Filings release on Snowflake Marketplace marks a first, small, step towards building a reference spine which we refer to as our Company Index.

We map our Company Index to public identifiers like CIKs or EINs, but also to the identifiers market data providers have made available (PermID, OpenFIGI).

To start, we're working with public companies but this will soon extend.

izyda··on Global weather events from 100K stations direct to your Snowflake instance
Indeed you can. Cybersyn makes public datasets available via Snowflake Marketplace to make the data easier to discover with sample queries and data dictionaries. Accessing directly in your Snowflake instance can reduce engineering effort and lets you more easily join public datasets with proprietary and other third-party data on Snowflake.
izyda··on Streamlit app: search for US healthcare providers by zip/state and specialty
Regarding your question on the underlying dataset: The data is sourced from the National Plan and Provider Enumeration System (NPPES). The NPPES is a governing body created by the Centers for Medicare and Medicaid Services (CMS) to issue mandatory National Provider Identifier (NPI) codes to all healthcare providers in the United States. NPI codes are unique 10-digit numbers used to identify healthcare providers. Healthcare providers include both individual practitioners (e.g. doctor, nurse) and organizations (e.g. hospital, clinic). The administrative simplification provisions of HIPAA require all covered healthcare providers, plans and clearinghouses use NPIs in administrative and financial transactions (e.g. claim payments, referrals, diagnosis coding, etc.). If a provider is no longer practicing, they are responsible for manually deactivating their NPI with the NPPES. The NPPES publishes updated NPI data on a weekly basis. Visit cybersyn.docs.com for more information.
izyda··on Streamlit app: search for US healthcare providers by zip/state and specialty
Thanks for checking out the app. In its current state the app is showing counts (total/per capita) of healthcare providers - not specific provider names as you point out. Our team is working to improve the zoom/filtering capabilities.
izyda··on Ask HN: Could you share your personal blog here?
https://magis.substack.com/

Writing about data-as-a-serice (ie. selling datasets), especially as it relates to finance & hedge funds. Includes both technical pieces, summaries of big events at my startup, and higher level questions on data valuation.

izyda··on Ask HN: Sales tracking and inventory management tools?
How about https://www.bucephalus.tech/
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