SOCIAL MEDIA

Hourly Discord Sentiment-Shift Cluster Digest to Slack

Every hour, pulls recent Discord messages and reactions, clusters them into emerging complaint themes.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHourly schedule fires
  • ActionFetch recent Discord messages + reactionsDiscordDiscord
  • ActionCluster messages into complaint themes and score sentimentOpenAI
  • LogicKeep only clusters trending more negative than prior hour
  • OutputPost ranked sentiment-shift digest to SlackSlack

What it does

This workflow gives your team an hourly early-warning read on community mood. It collects the last hour of messages and reaction counts from your Discord channels, uses an LLM to group them into distinct complaint clusters (e.g. "billing confusion", "login errors"), and scores each cluster's sentiment trend against the prior hour. If negative sentiment is climbing, it posts a tight, ranked digest to a Slack channel so the team sees the shift before it becomes a fire.

When to use it

Use it when your community lives in Discord and you want a low-noise heads-up the moment frustration starts clustering — without a human reading every channel. Best for community, support, and product teams who only want to be pinged when something is actually trending worse.

How it works

  1. 1A schedule fires every hour.
  2. 2Discord messages and reaction tallies from the watched channels are fetched for the window.
  3. 3OpenAI clusters the messages into named complaint themes and rates each cluster's sentiment.
  4. 4A logic step compares each cluster's negative volume to the prior hour and keeps only those trending upward.
  5. 5If any rising clusters remain, a ranked digest is posted to Slack; otherwise the run ends silently.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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