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How a Top-5 Gaming Publisher Migrated Off Community Sift

Blog post from Stream

Post Details
Company
Date Published
Author
Kenzie Wilson
Word Count
2,251
Company Posts That Month
8
Language
English
Hacker News Points
-
Summary

In 2025, a major mobile gaming publisher faced the challenge of migrating from the soon-to-be-deprecated Community Sift to Stream's AI moderation stack, which supports over 750 million monthly users and multiple languages. The transition, set within a six-month timeline, required maintaining moderation quality without disrupting established workflows. The publisher's rigorous vendor evaluation process included criteria such as detection quality across diverse languages, low latency under high production loads, and adaptability to the publisher's specific needs. During the Request for Proposal (RFP) process, Stream demonstrated its capabilities through extensive testing and iteration, focusing on improving language detection accuracy and moderating abilities. A critical component of the migration involved shadow testing, enabling both systems to run simultaneously without affecting live operations, allowing for fine-tuning based on discrepancies. The migration process highlighted the importance of dedicated infrastructure, comprehensive vendor testing, and on-site workshops that identified and addressed gaps in moderation tools, ensuring a seamless transition and enhanced player safety.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Model Fine-tuning 2 694 169 62 +13%
LLM 2 5,172 1,006 220 -43%
Real-time 1 5,457 1,338 238 -5%