Speedwell Research

Starting at GS research and migrating to the buy-side was a first hand experience in how lacking 3rd party research is. Speedwell just released a short piece on how we differ. speedwellsnippets.substack.com/p/speedwell-re…

Former VP at $CSU on software switching costs @AlphaSenseInc

$PLTR Forward Deployed Engineer gives a fantastic break down of why they are a one-stop-shop: If you only ready one thing on Palantir's business, make it this. *~* The one-stop-shop is that they have everything. Let's start from the very, very beginning. The very beginning, what you have is data connection. All your data is typically initially living somewhere else in the world. How do you bring it into Palantir? That's something that people struggle with a lot. A lot of other organizations will struggle with it. They have all these data connectors to Google Drive and your Oracle and Databricks and everything. Wherever your data is, they can pull it. Now, a lot of times, they will be pulling it via APIs. A lot of organizations don't want to expose their API because once you have an API, meaning anyone can try to access your data, that means people can attack you via an API. That's a vulnerability. What Palantir does is that it creates almost a reverse API or they call it an agent. What that does is they'll have a little script running on the customer side that will push data into Palantir's own APIs. Now the Palantir is exposing itself to the world, not the customer. Palantir has a lot of security measures already in place to make sure that things remain secure. A lot of customers become very comfortable. That just comes out of the box. It's not something that they have to think about or worry about. That's the first, the very first layer. The second is ETL. You take the data and you extract, transform, load it. You have a lot of very low-code, no-code tools to do it called Pipeline Builder. You can also do it in PySpark and other things. You have all that stuff going on. That's the second aspect. The third aspect, they call it Ontology. Most places don't have that, and it's not strictly necessary. It's just a very powerful layer for exposing the business logic of the organization. It takes all your data and makes it into a knowledge graph, meaning all your data entities are connected to each other via some link and edge and node thing. Everything is a graph. You have nodes and edges. That's the third layer. The fourth layer is your front-end applications. These are the applications that are running at the front. Again, they're low-code, nocode ways of making these applications. You're making dashboards. You're making full service applications. That's the fourth layer. The fifth layer is, there's a lot of custom code you can write to power these applications on serverless functions. For example, I wrote a whole bunch of mathematical and physical simulations all running on serverless functions that would power these applications in the background. You can do that in Palantir. The sixth layer, I would say, is a lot of miscellaneous stuff, for example, compute modules as well as your data governance, anything else that I haven't covered. All of these things are there just completely out of the box. I think I already mentioned the MLOps part. Meaning, if you're doing the machine learning stuff, you can do all your development and testing and stuff. One thing I also want to add is that despite being a one-stop-shop, Palantir almost always sends forward deployed engineers and deployment strategists. Have you heard of that? ~*~ $PLTR deep dive YouTube video dropping this weekend! Expert call transcript from @AlphaSenseInc

@drowsyinvestor Happy to hear that!

@Speedwell_LLC Greatly enjoying the listen. $FOUR

🎙️ New Podcast Released! In this fantastic interview, we spoke with the CEO and CFO of Shift4! We covered everything from: 🔹 Capital allocation 🔹 Global Blue acquisition 🔹 What sets Shift4 apart from competition If you're interested in $FOUR, this is a must listen 👇

Not easy to critically interview a CEO in a public forum. @DrewCohenMoney did a great job in asking questions that matter and didn't shy away from pushing back respectfully. I really enjoyed it listening to it. $FOUR open.spotify.com/episode/7ejPik…

$EVO

$PLTR has grown share count 33% since 2021. Stock based comp is about 15% of revenues

Pretty wild seeing a company reaccelerate revenue growth for 11 consecutive quarters... Of course, the valuation moved up A LOT alongside that. From about $10 a share -> $150

Stop wasting time on filings and transcripts We break down companies like $CSU, $RH, and $META with deep, time-saving reports trusted by serious investors. Buy-side research built for the buy-side See the difference ↓ speedwellresearch.com

Former VP of Operations at $CSU hasn't seen any attrition because of AI

$PLTR Forward Deployed Engineer: "I don't think Palantir's AI tools are the best" Instead he sees 3 reasons why governments/ businesses choose Palantir: 1) One-stop-shop for everything you need 2) Governance controls are very good 3) Being geared towards regular business users instead of engineers (easy to use) @AlphaSenseInc

@WolfBBoehme They are a global company

@Speedwell_LLC Relying on an expert who can't speak English at a high school level?

Quote by @AlphaSenseInc alpha-sense.com/speedwell/

You should all watch this video from @DrewCohenMoney Click-baity title, sure, but he seriously delivers on it 👇

While I think a lot of the AI software risks are overstated... I have been most focused on existing software companies, who I think will increasingly compete against themselves I haven't really thought of $PLTR as a competitor to $CRM and $NOW, but it seems like they will be an increasingly formidable competitor here Palantir has AIP (AI platform) and ServiceNow is trying to be the "platform of platforms" with their "AI control tower". Salesforce in turn has AgentForce and is also trying to be the platform that contains AI use. While there won't be one winner for this "AI platform layer", this is what all the large software co's are fighting for Palantir seems pretty disruptive in this regaurd. Too bad their market cap is ALREADY bigger than both ServiceNow and Salesforce combined....

Risk for $CRM and $NOW

1) Watch this deep dive by @DrewCohenMoney on $MELI 2) Assess if you can honestly do this type of diligence and understand business to this standard 3) buy index funds if you can’t

I am extremely excited to announce the next guest on our podcast, The Synopsis, will be Bill Nygren! He has been a fund Portfolio Manager at Oakmark since 1996. In total Oakmark has around $100 billion in AUM. What questions do you have for him?