SlackDMSpamDetector: Message Quality Auditor
Analyzes Slack DM patterns to identify inactive contacts, spam bots, and low-engagement relationships for teams managing sprawling communication networks.
The Problem
Teams with 100+ members accumulate hundreds of dormant Slack DMs and group chats that clutter workspaces and make it hard to distinguish signal from noise. There's no built-in way to see which DMs are actually active, which are spam/bot accounts, or which relationships have gone cold—forcing manual audits or just ignoring the mess.
Target Audience
Mid-market SaaS teams (50-500 people) and remote-first companies with high Slack adoption who want to clean up communication chaos and identify which relationships need nurturing.
Why Now?
Slack workspace bloat is hitting teams hard as remote work scales; teams are starting to audit technical debt in their communication stacks, and Slack is becoming a hiring/retention tool where relationships matter.
What's Missing
Slack's own analytics ignore DMs entirely and focus on channels. Existing Slack audit tools don't surface dormancy, bot spam, or relationship health metrics that teams actually care about for culture and efficiency.
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