Raj Karri (@rajkarri8) 's Twitter Profile
Raj Karri

@rajkarri8

Just for fun!

ID: 723620457979744256

calendar_today22-04-2016 21:12:16

1,1K Tweet

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Raj Karri (@rajkarri8) 's Twitter Profile Photo

Pro-code capabilities like Compute Modules, OSDK, Jupyter, and Custom Widgets are putting the final nail in the competition’s coffin. There was a slight air gap earlier for teams that wanted to work directly with code repositories. AI-FDE has now smashed that gap on all fronts,

Raj Karri (@rajkarri8) 's Twitter Profile Photo

This won’t happen in companies that use Palantir Foundry/AIP, just a click away to see entire lineage. $PLTR 🤷‍♂️

This won’t happen in companies that use Palantir Foundry/AIP, just a click away to see entire lineage. $PLTR 🤷‍♂️
Raj Karri (@rajkarri8) 's Twitter Profile Photo

We implemented an integration layer on widely used enterprise software using the Palantir Foundry/AIP suite. It outperformed their own agents and AI integrations by an order of magnitude (Accuracy, Ease of use, Scale, Robustness and many other metrics). That’s the power of

Raj Karri (@rajkarri8) 's Twitter Profile Photo

For enterprise-grade applications, Claude is performing far better than other models, at least for the use case I’m building. Claude is clearly ahead, with GPT a distant second. The rest are trash. The bottom line is that I don’t care which model performs best. In Palantir

Raj Karri (@rajkarri8) 's Twitter Profile Photo

With all the buzz around major agentic AI players, most enterprise customers are experimenting heavily, but almost everything is dying in the PoC phase. The next phase will be about discovering who can actually deliver. That’s when a massive wave of customers will realize

Raj Karri (@rajkarri8) 's Twitter Profile Photo

I’ve been reading several pieces about context graphs, and many of them oddly drag Palantir’s Ontology into the discussion, often based on incorrect assumptions. Some claim Ontology is static while context graphs are dynamic. Some argue that only FDEs can build it. Others say it

Raj Karri (@rajkarri8) 's Twitter Profile Photo

I now see what Chad has been saying and quietly pushing over the past few months. The fast pipelines are blazingly fast. I’m not sure what’s behind it - Polars, DuckDB, or something else but a pipeline that used to take 15 minutes now runs in a few seconds. Sometimes I have to

Raj Karri (@rajkarri8) 's Twitter Profile Photo

It’s visible in plain sight: Palantir is the only company actually making money from AI. Everyone else is running at a deficit. $PLTR 👊

Raj Karri (@rajkarri8) 's Twitter Profile Photo

The secret to finding great stocks: Stay within your circle of competence — especially in the field you work in. You can spot what truly works, even if it’s not attractively priced yet. Wait. When the loudest voice in the room — with zero expertise in that field — starts

The secret to finding great stocks:

Stay within your circle of competence — especially in the field you work in. You can spot what truly works, even if it’s not attractively priced yet.

Wait.

When the loudest voice in the room — with zero expertise in that field — starts
Raj Karri (@rajkarri8) 's Twitter Profile Photo

Recently, I attended an exclusive summit hosted by a product company, where I got to see many applications that large enterprises and consulting firms are building. I can confidently say nobody is coming for Palantir’s lunch in the foreseeable future. $PLTR 👏 At the end, they

Raj Karri (@rajkarri8) 's Twitter Profile Photo

Steak dinners only take you so far. Eventually, execution drives everything. The Burrys of the world can call it consulting or whatever they want. Just sit down and execute one real enterprise-level AI use case, you’ll quickly understand where the industry actually stands. I