Competition

Competitors & Competitive Intel

Updated
March 21st 2026

This folder contains structured competitor profiles for Meridia. Each file follows the Template Competitor.md schema and feeds into the πŸ”’Competitors.base dashboard.

Dashboard


How This System Works

Each competitor file has structured frontmatter (type: competitor) with fields for category, threat level, revenue model, audience overlap, data potential, employee count, and traffic. The Competitors.base queries these files and provides filtered views:

  • All Competitors β€” full table sorted by threat level
  • By Category β€” grouped by type (fishing-platform, boat-rental, adventure-booking, etc.)
  • Needs Review β€” overdue or never-reviewed competitors
  • High Threat β€” direct threats only
  • Direct Fishing Comps β€” fishing-specific competitors across all subcategories
  • Data Sources β€” competitors worth mining for data (filtered by data_potential)

Competitor Categories

CategoryWhat it meansExamples
fishing-platformCore product is fishing tools/dataFishBrain, OnX Fish
fishing-bookingFishing guide/trip marketplacesFishingBooker, TheFlyBook, MallordBay
fishing-contentContent sites ranking for fishing termsWired2Fish, BD Outdoors, Lillard Fly Fishing
fishing-conditionsTide/weather/conditions dataTides4Fishing, RiverReports, RiverApp, Snoflo
adventure-bookingBroader outdoor adventure marketplacesGetYourGuide, 57hours, KimKim, MuchBetterAdventures
boat-rentalBoat/yacht rental platformsBoatsetter, GetMyBoat, Click&Boat
booking-saasBooking infrastructure providersFareHarbor, Peek
ecommerceFishing gear/travel ecommerceTheFlyShop

Threat Levels

  • High β€” direct overlap with Meridia's core value prop (conditions + booking + destinations for fishing). Monitor closely.
  • Medium β€” partial overlap or adjacent positioning. Watch for expansion into our space.
  • Low β€” tangential or different market. Useful for UX inspiration and data sourcing, not competitive threats.

Data Potential

Separate from threat level β€” some low-threat competitors are high-value data sources.

  • High β€” rich data we can source from (destinations, rivers, gauges, APIs). Worth reverse-engineering their data pipeline.
  • Medium β€” useful reference data or public dataset integration worth studying.
  • Low β€” minimal data value beyond their own product.
  • None β€” no data sourcing opportunity.

Competitive Intel Automation Plan

Status: Post-launch. Build this after Meridia ships.

Phase 1: Automated Data Collection (bi-weekly cron)

Build _scripts/update_competitor_intel.py that runs every 2 weeks:

  1. Traffic estimates β€” SimilarWeb or SEMrush API to update monthly_traffic on all competitor files. Single most useful metric for sizing competitors.
  2. Employee count β€” Scrape LinkedIn company pages to update employees field. Headcount changes signal growth/contraction.
  3. Job postings β€” Scan LinkedIn/Indeed for competitor hiring. When FishingBooker posts "Head of Partnerships" or OnX posts "Fly Fishing Product Manager," that's a leading indicator of strategic moves.
  4. App store data β€” For competitors with apps (OnX Fish, FishBrain, GetMyBoat, Boatsetter): ratings, review count, review themes.
  5. Auto-update frontmatter β€” Script updates monthly_traffic, employees, last_reviewed, next_review fields directly.
  6. Append to Intel Log β€” Any notable changes get appended to the ## Intel Log section in each file.

Phase 2: Full Workups (manual, one-time)

Deep-dive the 5 high-threat competitors first:

Fill out the full template: Product & Features, What They Do Well/Poorly, Audience & Positioning, Differentiation, Data Source Potential, What We Can Steal.

What NOT to automate

  • Social content monitoring β€” noise, not signal. You don't need to know what FishBrain posted on Instagram.
  • SEO keyword tracking β€” premature until Meridia is competing on content.
  • News/press monitoring β€” not enough volume across 26 mostly-small competitors to justify a pipeline.
  • Social follower counts β€” grab once, update quarterly at most. Doesn't change fast enough.

Cron Setup

# bi-weekly competitor intel update (post-launch)
# 0 8 1,15 * * python3 /Users/kj/Documents/KJBrain/_scripts/update_competitor_intel.py

Competitor notes auto-surface related Meridia ideas via a dataview query in each file's ## Related Ideas section. When an idea note links to a competitor (via relatedTo or inline wikilink), it appears automatically on that competitor's page.

  • Data Sourcing Index β€” maps content types to sourcing channels (many competitors double as data sources)
  • Ideas README β€” Meridia ideas system (many ideas originate from competitive research)
  • πŸ”’Competitors.base β€” queryable dashboard
  • πŸ”’Template Competitor β€” template for new competitor entries
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