Star Trek: Starfleet Academy — Fandom & Canon Tracker

(r/startrek + r/DaystromInstitute)

A lightweight Python project for measuring deep fandom and analytical engagement around Star Trek: Starfleet Academy on Reddit by tracking discussion behavior, not subscriber counts.

This tracker is intentionally scoped to Star Trek–specific subreddits, where conversation reflects canon interpretation, science analysis, and sustained episode-to-episode engagement rather than general audience reaction or industry news.

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What This Project Does

This tracker captures how committed Star Trek fans and analysts engage with Starfleet Academy over time, rather than how widely the show is noticed.

Specifically, it:

• Searches r/startrek and r/DaystromInstitute for posts related to Star Trek: Starfleet Academy

• Identifies and classifies posts into:

  • episode discussion threads (e.g. 1x03, S01E01, Episode 4)
  • official trailers and teasers
  • high-engagement non-episode posts (canon debates, theory posts, science analysis)

• Captures post-level metadata:

  • comment count
  • score (net upvotes)
  • creation timestamp
  • subreddit source

• Appends comment counts to a time-series dataset on each run

• Generates:

  • CSV exports for structured analysis
  • line graphs showing comment growth over time
  • a local, static HTML dashboard for review

The result is a reproducible way to observe how Starfleet Academy is interpreted, debated, and contextualized within Star Trek fandom, rather than how it performs as a mass-market release.

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What This Tracker Is Designed to Show

Early runs consistently highlight that Star Trek–specific subreddits behave very differently from r/television:

• Episode discussion is more structured and sustained

• Comments skew toward:

  • canon consistency
  • continuity placement
  • in-universe logic and science

• Engagement persists beyond premieres and trailers

• DaystromInstitute posts trade volume for depth and analytical rigor

This tracker treats that behavior as the primary signal, rather than noise.

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Why Two Subreddits

This project intentionally combines two complementary fandom spaces:

r/startrek

• Broad fandom discussion
• Episode reactions and speculation
• Higher volume, mixed sentiment

r/DaystromInstitute

• Canon-first analysis
• Hard science and continuity reasoning
• Lower volume, higher signal-to-noise ratio

Tracking both together allows you to distinguish:

• emotional fandom response vs
• intellectual and analytical engagement

without flattening them into a single metric.

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Why Comments Instead of Subscribers

Reddit’s visible subscriber and “active user” counts vary by:

• interface
• aggregation context
• subreddit rules and visibility

They are unreliable for longitudinal analysis.

Comments, by contrast:

• represent deliberate participation
• accumulate over time
• reflect disagreement as well as approval
• remain accessible via public JSON endpoints

For fandom and canon analysis, comment growth is a stronger indicator of sustained engagement than subscriber totals alone.

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Project Structure

starfleet_academy_fandom_tracker/
├─ src/
│  └─ show_reddit_tracker.py
│
├─ data/
│  └─ starfleet_academy_comment_history.csv
│
├─ out/
│  ├─ starfleet_academy_all_posts.csv
│  ├─ starfleet_academy_episode_posts.csv
│  ├─ starfleet_academy_selected_posts.csv
│  ├─ starfleet_academy_episode_comment_growth.png
│  ├─ starfleet_academy_non_episode_comment_growth.png
│  └─ dashboard_starfleet_academy.html
│
├─ logs/
│  └─ starfleet_academy_tracker.log
│
├─ README.md
├─ requirements.txt
└─ .gitignore

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Requirements

• Python 3.11 or newer

Install dependencies with:

pip install -r requirements.txt

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How to Run

Set environment variables (example for PowerShell):

$env:SHOW_SLUG="starfleet_academy"
$env:SHOW_NAME="Starfleet Academy"
$env:SUBREDDITS="startrek,DaystromInstitute"
$env:QUERY_TERMS='"Starfleet Academy",Academy,SFA'
python src/show_reddit_tracker.py

The script will:

• fetch current Reddit data
• append to the comment history file
• regenerate CSVs, plots, and the HTML dashboard

Open the dashboard locally:

out/dashboard_starfleet_academy.html

(No web server required.)

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Notes on Data Use

• Uses only Reddit’s public JSON search endpoints
• No API keys or authentication required
• Designed for infrequent polling (6–12 hours recommended)
• Comment trends become meaningful over repeated runs
• Low post volume in DaystromInstitute is treated as a signal of depth, not a failure

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Relationship to Other Trackers

This tracker is part of a layered approach to measuring Starfleet Academy’s cultural footprint.

• r/television tracker → general audience & industry sentiment
• r/startrek + DaystromInstitute tracker → fandom depth & canon engagement

Together, they separate visibility from commitment, avoiding misleading aggregate metrics.

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Part of the RewindOS project — tracking cultural and fandom signals where traditional audience metrics fall short.