SOCIAL MEDIA

Re-surface a post the moment its original engagement spikes again

Listens for a webhook from your analytics tool and, when an older post regains traction, instantly recycles a fresh variant of it to ride the renewed interest.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEngagement-spike webhookHTTP webhook
  • ActionLook up original post in archiveAirtableAirtable
  • LogicEvergreen-eligible and cooled down?
  • ActionGenerate current-context variantOpenAI
  • OutputPublish variant immediatelySocial publishing

What it does

Turns a sudden resurgence in an old post's metrics into a timely repost. When your analytics platform sends a webhook signaling that a past post is trending again, this flow looks up that post in Airtable, generates an updated variant referencing why it's relevant now, and ships it to your channels to capitalize on the momentum.

When to use it

Use it when seasonal topics, news cycles, or algorithm shifts revive interest in something you already published. Rather than manually noticing and rewriting, the system reacts in minutes.

How it works

  1. 1A webhook trigger receives an engagement-spike event with the original post ID.
  2. 2The flow looks up that post's content and metadata in Airtable.
  3. 3It checks the post is evergreen-eligible and wasn't recycled in the last 30 days.
  4. 4OpenAI generates a current-context variant with an updated hook.
  5. 5The variant is published immediately via post-to-platforms.
  6. 6Airtable logs the spike-driven recycle for reporting.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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