MARKET RESEARCH
Reddit Feature-Request Triage into Linear
Daily, mines your product's subreddit and forum for feature requests, dedupes them against open Linear issues.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule
- ActionScrape product subreddit and forumApify
- ActionIsolate and rewrite feature requestsOpenAI
- ActionSearch Linear for matching issueLinear
- LogicBranch on match vs net-new
- OutputComment citation or create new Linear issueLinear
What it does
Reads where your own users hang out, isolates genuine feature requests from general chatter, and routes them into Linear — adding a vote and citation to an existing issue when one already matches, or opening a fresh, well-formed issue when the request is new.
When to use it
Use it when community feedback is scattered across Reddit and forums and never makes it into your tracker. This keeps the roadmap fed with real demand and shows recurrence by stacking citations on the same issue.
How it works
- 1A daily schedule starts the run.
- 2Apify scrapes recent posts and comments from your product community.
- 3OpenAI separates feature requests from bugs, praise, and support questions, and rewrites each as a crisp request.
- 4The flow searches Linear for a semantically matching open issue.
- 5A logic branch decides: match found versus net-new.
- 6On a match it comments the new citation and quote; otherwise it creates a new Linear issue tagged from-community.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Enrich Inbound Accounts with BigQuery Firmographics and Score Fit
When a new account row lands in Airtable, joins it against BigQuery public business datasets to attach firmographic attributes.
Blend BigQuery TAM with Live Competitor Signals into a Notion Brief
On demand, sizes a chosen segment from BigQuery public data, gathers current competitor signals via Brave Search, and synthesizes a one-page market brief into Notion.
Allocate Sales Territory TAM from BigQuery Geo Data to HubSpot
When triggered by a webhook, queries BigQuery public ZIP-level business data to compute TAM per sales territory.
Hiring Surge Detector with Slack Alert
Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…
Tech-Stack Shift Inference from Job Descriptions
Reads new job descriptions for target accounts, uses an LLM to extract named technologies and infer stack changes.
Weekly Hiring-Intel Briefing for GTM
An agent reviews the week's accumulated hiring signals across all target accounts, writes a narrative briefing that infers each account's likely initiatives.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.