cartoon on palantir, how they were used against terrorists then immigrants, and how to theoretically build a diy counter-palantir. if trump ever rounds up dissidents thisll be used.
https://www.youtube.com/watch?v=GSkySDNmjV8
is palantir’s main product still basically an update version of gotham? has anyone made an equivalent open-source version of this?
In short: No. While Gotham is still a core product, Palantir has undergone a massive shift toward its Artificial Intelligence Platform (AIP) and Foundry.
As for an open-source version, there is no single “one-click” equivalent because Gotham’s value isn’t just the code—it’s the “Ontology” (how it maps messy real-world data into objects like “Suspect,” “Bank Account,” or “Vehicle”).
- Is Gotham still the main product? Gotham is no longer the sole “flagship.” As of 2026, Palantir’s business is built on three distinct pillars:
Gotham (The “Intelligence” Pillar): Still the primary tool for defense and national security. It is used for “connecting the dots” in counter-terrorism, disaster response, and military operations (like those seen in Ukraine). Foundry (The “Enterprise” Pillar): This has become the dominant revenue driver. While Gotham is for investigators, Foundry is for operations—managing supply chains, hospital bed availability, or manufacturing for companies like Airbus and BP. AIP (The “AI” Pillar): This is the current “star.” AIP allows organizations to use Large Language Models (LLMs) like GPT-4 or Claude safely within their own private networks. It uses the data from Gotham or Foundry to make sure the AI doesn’t “hallucinate” and follows strict security rules. 2. Is there an open-source equivalent? There is no single open-source project that replicates the entire Gotham “stack” (data integration + graph analysis + secure collaboration). However, you can build a “DIY Palantir” by stitching together these open-source tools: The “DIY Gotham” Stack Layer Open-Source Equivalent What it does Data Integration Apache Hop or Airbyte Moves data from old databases into one place. The “Ontology” DataHub or Amundsen Organizes data into “entities” (People, Places, Events). Graph Analysis Graphistry or Cytoscape The “spiderweb” visualizer used to see connections. Database Neo4j (Community) or ArangoDB Stores data as a “graph” rather than just rows and columns. Search/Discovery Elasticsearch Allows for “Google-like” searching across all integrated data. Why an “Open Gotham” is hard to build The reason Palantir remains dominant despite these tools is Security and Deployment. Granular Access: Gotham allows you to say “User A can see the phone number but not the name of this person.” Setting this up manually across five different open-source tools is a nightmare. The “Human-in-the-Loop”: Gotham is designed so that a non-technical investigator can “click and drag” to find a terrorist. Most open-source alternatives require you to write code or complex queries. Comparison Summary Palantir Gotham: A polished, secure, “all-in-one” black box for government-level investigation. Open Source Alternatives: A “Lego set” of tools (Graphistry, Neo4j, Elasticsearch) that require significant engineering to make them work together like Gotham. Would you like me to dive deeper into how any of these open-source tools (like Graphistry) compare to Gotham’s specific features?