Apify + Make/n8n automation engineer for a small scheduled data-to-Slack workflow

We're looking for an automation engineer to build a small, self-contained workflow on a fixed-price basis. What it does (high level): - On a daily schedule, pull post-level metrics from a public data source via the Apify platform - Apply a simple statistical rule to flag outliers (a value above a configurable multiple of the median) - Post each new flagged item into a Slack channel via webhook, with a few data fields and a tag - Keep a small dedup store so each item is posted only once Keep it simple: no dashboard, no web UI. The input list and the threshold must be easy for a non-technical person to edit (Google Sheet or Airtable). You're a good fit if you've: - Used the Apify platform in production - Built scheduled automations in Make.com / n8n (or small Python/Node scripts) - Worked with Slack incoming webhooks To apply, start your proposal with the word "FLOW" and, in 2-3 sentences, tell us how you'd compute "above 2.5x the median" and keep each item from being posted more than once. Budget: Fixed price, small project (roughly 1 day of work). Please quote a fixed price and a delivery timeline. A short handover doc is part of the deliverable. We'll share the full brief with the selected freelancer.