MARKET RESEARCH

Competitor Feature Launch Tracker via Exa Discovery

Searches the web weekly for competitor product announcements and changelog updates, summarizes each new feature, and logs it to a Notion competitive database with source links.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionSearch competitor announcementsExa
  • ActionSummarize and tag each launchOpenAI
  • LogicDedupe against existing Notion entries
  • ActionAppend new launches to NotionNotionNotion
  • OutputPost weekly launch digestSlack

What it does

Finds and summarizes new feature launches and product announcements from your named competitors each week, then files them in a structured Notion database so you have a searchable history of who shipped what.

When to use it

Use this when you need to track competitor roadmaps and feature velocity, not just pricing. Good for PMs preparing battlecards or quarterly competitive reviews.

How it works

  1. 1A weekly schedule starts the run.
  2. 2Exa runs targeted neural searches for each competitor's recent announcements, blog posts, and changelog entries, scoped to the last seven days.
  3. 3OpenAI summarizes each result into a one-line feature description and tags it by product area.
  4. 4A logic step dedupes against entries already in Notion so the same launch is not logged twice.
  5. 5New, unique launches are appended to the Notion competitive-intelligence database with competitor name, summary, area, date, and source URL.
  6. 6A digest of the week's launches is posted to a Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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