Slack consumes excessive RAM and slows laptops during huddles
Users report Slack uses a large amount of RAM and noticeably slows their laptop, especially while in a huddle call. This is a widely-experienced performance problem given Slack's broad daily-active-user base.
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Similar Problems
surfaced semanticallySlack desktop app consumes excessive RAM and CPU on laptops
Knowledge workers running Slack alongside development or creative tools experience significant performance degradation due to the app's high memory and CPU footprint. This is a structural Electron framework issue that Slack has not resolved despite repeated user complaints. It affects the majority of Slack's 32M+ desktop users and compounds on lower-spec machines.
Slack's Resource Usage and Huddle Feature Need Improvement
A user describes Slack as heavy software to run and suggests its huddle (voice/video) feature could be improved. A brief, low-detail performance and feature complaint rather than a significant blocker.
Slack Desktop App Consumes Excessive Memory and Feels Sluggish
Users report the Slack desktop client uses a large amount of system memory and performs sluggishly during normal use. This is a common complaint about Electron-based messaging clients affecting daily productivity.
Electron-Based Desktop Apps Drain RAM and Battery on Laptops
Slack and similar Electron-wrapped desktop apps consume disproportionate system RAM, cause performance degradation on other running software, and significantly reduce laptop battery life. The problem affects knowledge workers running the tool all day and is a known structural cost of the Electron framework rather than a per-app bug. Multiple native alternatives exist but lack feature parity.
Slack Desktop App Consumes Excessive RAM and CPU on Laptops
Slack's Electron-based desktop application is notorious for high memory and CPU consumption, degrading performance on laptops especially when multiple workspaces are open. This forces users to close Slack to reclaim system resources or accept reduced responsiveness across other applications. The issue has persisted for years and is a known architectural constraint of the Electron framework.
Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.