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LiveDaily AI-curated intelligence on Palantir Foundry, Ontology, AIP, Apollo, contracts, and community feedback. Updated automatically via GitHub Actions every day at 7 AM UTC.
Is there a way to get the current viewport (date/time range) of a scheduling gantt chart?
I have a workshop with two scheduling gantt charts, and I am trying to sync the view when a user scrolls on one of them. Both charts use the same variables for the timeline start and end timestamps as well as the custom display range start/end timestamps. Looking for a way to sync the views when the user scrolls on one chart. I tried to use a right-click on the the resource row to capture the date/time of the click, but the Selected Start Date workshop variable only seems to be available on actions (not events). If I could save the date/time into a variable on a right-click, I could get the two charts to sync. Better yet, if I could somehow retrieve the dates from the header… e.g. - Are those stored/accessible? 1 post - 1 participant Read full topic
Cannot Bind Slate Variables to Foundry Function—Custom Endpoints Access Request
Hello, I’ve read through existing posts about calling Foundry Functions (including the thread about AIP Logic Function endpoints), but my situation has some key differences. I’m hoping to get clarity on whether Custom Endpoints access is required, or if there’s another supported pattern I’ve missed. What I’ve Built I have a Python Foundry Function deployed from a Functions repository (not AIP Logic). It’s published to the Ontology and Function Registry: Function Name: market_metrics_kpi Repository Type: Python Functions (not AIP Logic, not TypeScript) Parameters: market (Optional string), quarter (Optional string), asset_type (Optional string) Output: Custom dataclass MarketMetricsKPIResult containing: avgVacancy (float) sumAbsorption (int) sumUnderConstruction (int) marketCount (int) chartData (object with market and vacancy arrays) The Function queries Ontology objects ( MarketMe
January upgrade request
My apologies Developers, new here and I don’t know what to do to update the January task that needs to be executed by April 20th. I tried to find a “upgrade now” button but I only see an “ignore” button. I don’t want to ignore the update request that was issued in January and is now running out on April 20th. can somebody guide me how to execute the upgrade the Palantir team wants me to make? thank you 4 posts - 2 participants Read full topic
Replacing a schedule via API throws Internal Server Error
I am attempting to replace an existing schedule via the REST api (as in the documentation) curl -X PUT -H “Content-type: application/json” -H “Authorization: Bearer $TOKEN” “``https://$HOSTNAME/api/v2/orchestration/schedules/ri.scheduler.main.schedule.5ad5c340-59f3-4a60-9fc6-161bb984f871?preview=true”`` -d ‘{“displayName”:“My Daily Schedule”,“description”:“Run all the transforms at midnight”,“action”:{“abortOnFailure”:false,“forceBuild”:false,“retryBackoffDuration”:{“unit”:“SECONDS”,“value”:30},“retryCount”:1,“fallbackBranches”: ,“branchName”:“master”,“notificationsEnabled”:false,“target”:{“type”:“manual”,“targetRids”:[“ri.foundry.main.dataset.b737e24d-6b19-43aa-93d5-da9fc4073f6e”,“ri.foundry.main.dataset.d2452a94-a755-4778-8bfc-a315ab52fc43”]}},“trigger”:{“type”:“time”,“cronExpression”:“0 0 * * *”,“timeZone”:“UTC”},“scopeMode”:{“type”:“user”}}’ as per the documentation here. https://www.palantir.com/docs/foundry/api/v2/orchestration-v2-resources/schedules/re
Model training in Jupyter Code Workspaces uses deprecated Python version, won't install
I have an existing installation of Model training in Jupyter Code Workspaces , and while it works, it does warn that it’s running on a deprecated version of python But when I try to create a fresh installation, it fails for apparently the same reason Is this something I can work around after the fact, or does the version on marketplace need to be updated? 1 post - 1 participant Read full topic
Feature Request: Limits for Incremental Pipeline Builder Inputs
It’s awesome that Pipeline Builder is starting to incorporate incremental inputs ( April 2026 • Announcements )! I have very large builds that take days or sometimes weeks to run, and I am only able to manage OOM errors by limiting incremental builds in Code Repos ( Limit batch size of incremental inputs ). Can batch size limits please be added to Pipeline Builder’s incremental inputs? Is there a timeline for batch size limits in Pipeline Builder? 2 posts - 2 participants Read full topic
Best approach to migrate data pipelines from Palantir to Databricks?
I’m looking for guidance on replatforming a data pipeline from Palantir to Databricks, with an additional requirement to keep both systems in sync during the transition. Currently, the pipeline consists of multiple source tables that are cleaned and then unioned with other tables to produce a set of downstream datasets. These final datasets are used by a workshop application. A key requirement is to sync these pipelines with Databricks —whenever new data arrives in Palantir datasets, it should also be propagated to Databricks (ideally in near real-time or via incremental updates). I’m trying to understand the best approach to both sync and migrate this pipeline efficiently and reliably. Some specific questions I have: What’s the recommended strategy for syncing new/updated data from Palantir into Databricks? Should this be handled via batch jobs, streaming, or CDC (change data capture)? What’s the best way to translate transformations into Databricks (e.g., Spa
Media analysis of the video to detect labels
Looking for solutions on Media analysis of the video to detect pre-defined labels and provide time the label was detected in the video. perform video recognition of warning signs: Use the Video Display widget or a data pipeline to extract key frames from your videos. Apply a machine learning model (such as an object detection or image classification model) to those frames, run inference using a pre-trained or custom-trained model. Store and visualize the results in Foundry, linking detected warning signs back to the original video data.strong text 1 post - 1 participant Read full topic
Michael Burry is still betting against Palantir even after Trump's 'warfighting' praise. AI bubble ready to pop?
Veteran investor Michael Burry remains bearish on Palantir Technologies, citing high valuations and AI bubble risks. While optimism persists around artificial intelligence, experts warn uncertainty over profitability and infrastructure spending could challeng…
Michael Burry is still shorting Palantir — and says Anthropic is the bigger AI winner
If you click 'Accept all', we and our partners, including 251 who are part of the IAB Transparency & Consent Framework, will also store and / or access information on a device (in other words, us… [+1046 chars]
Wall Street strategists say it's time to 'jump in' with tech stocks amid Iran ceasefire
While geopolitical tensions keep the market on edge, some experts see a rare opening in hammered tech names.
Palantir Stock Is at 6-Month Lows - Time to Buy PLTR?
Palantir stock has dropped to a new 6-month low, which could mean it's time to buy for patient investors. One way to do this, if PLTR keeps dropping, is to...
‘The Audacity’ Review: Billy Magnussen Boosts AMC’s Flawed Tech Industry Satire
Sarah Goldberg, Zach Galifianakis and more elevate a show that’s rich in character study but misses the mark reflecting the world in which it’s set The post ‘The Audacity’ Review: Billy Magnussen Boosts AMC’s Flawed Tech Industry Satire appeared first on TheW…
Keith Rabois: Product managers are evolving into strategic CEOs, AI will transform career paths across industries, and mobile coding is reshaping tech work habits | Lenny’s Podcast
AI's transformative impact on careers demands adaptability, while mobile coding reshapes engineering work habits. The post Keith Rabois: Product managers are evolving into strategic CEOs, AI will transform career paths across industries, and mobile coding is …
Michael Burry is still shorting Palantir — and says Anthropic is the bigger AI winner - Yahoo Finance
Michael Burry is still shorting Palantir — and says Anthropic is the bigger AI winnerYahoo Finance Trump praises Palantir as stock has worst week in over a year and Iran conflict drags onCNBC While the Stock Market Was Rallying, Palantir Stock Sold Off. Shoul…
Cathie Wood vs Michael Burry: The $11 million Palantir bet that’s splitting Wall Street
Cathie Wood bought $11 million worth of Palantir Technologies shares, boosting ARK ETFs’ holdings to over ₹283 crore, even as Michael Burry remains bearish. The funds also sold over $10 million worth of Advanced Micro Devices shares.
Cathie Wood vs Michael Burry: The $11 million Palantir bet that’s splitting Wall Street
Cathie Wood bought $11 million worth of Palantir Technologies shares, boosting ARK ETFs’ holdings to over ₹283 crore, even as Michael Burry remains bearish. The funds also sold over $10 million worth of Advanced Micro Devices shares.
Trump endorsed Palantir stock, and the market reacted - thestreet.com
Trump endorsed Palantir stock, and the market reactedthestreet.com Michael Burry Saying Anthropic Eating Palantir's Lunch Is 'The Wrong Take And Fictional Narrative,' Says Top AnalystYahoo Finance Trump praises Palantir as stock has worst week in over a year …