Architecting a Reputation System: Decoupling Votes from User Profiles
Learn how to build a scalable reputation system by decoupling high-frequency voting actions from user profile updates using asynchronous events and atomic increments.
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Learn how to build a scalable reputation system by decoupling high-frequency voting actions from user profile updates using asynchronous events and atomic increments.
Learn how to efficiently paginate and filter data using the Stack Overflow API v2.3 while avoiding 403 Forbidden errors and rate limit exhaustion.
Explore how Stack Overflow uses a weighted reputation system to manage permissions and ensure technical accuracy through decentralized peer review.
The goal is to understand how the Hot Network Questions (HNQ) algorithm’s selection criteria affect the quality of answers on featured posts across the Stack Exchange network. Because the exact formula weights are not publicly disclosed, observers rely on patterns from Meta discussions and limited A/B test notes, creating uncertainty about whether the curren
Stack Overflow public API documents per IP and per application key quotas and a backoff response header for overload throttling. The specification describes pausing for the indicated seconds when backoff is returned, but does not clearly define the intended granularity of enforcement. It is unclear whether the pause applies per key, per IP, per endpoint, or
Background Stack Overflow’s tag‑synonym system lets high‑reputation users propose a mapping from a source tag to a target tag. Once a synonym gains enough votes, the source tag is hidden and any post using it is automatically relabeled with the target tag. Unresolved Behavior There is no documented policy for how the system reacts if the target tag is subseq