Piracy detection for course creators

Micro-SaaS1 monthWeb

StackPython scrapersNext.jsPostgresSendGrid

Market read pendingWe are still researching this idea.
How scoring works

The idea

Every creator clearing $10k/mo on a course knows their product is sitting in a Telegram channel with 40,000 members and on three “free course” forums that rank on Google for their own course name. They find out from a customer, seethe, file one manual DMCA, and give up. Bustem built $384k MRR proving sellers pay for automated theft detection — but it watches Shopify copycats and stolen ad creatives, not info products.

Course piracy has completely different sources (Telegram dumps, forum threads, Mega links) and different takedown targets (hosts, registrars, Google deindexing) — a parallel product, not a feature Bustem adds. The takedown composer is what makes it feel like a weapon instead of a report: detection alone is just bad news on a schedule.

Who pays

Course and digital-product creators earning $10k+/mo — the Kajabi, Teachable, Skool, and Whop crowd — at $49-149/mo depending on catalog size. Piracy is a visible, emotional revenue leak, so the free one-time scan converts brutally well: show them their own course in a dump channel and the card comes out. Distribution via creator communities, affiliate deals with course-platform ecosystems, and SEO on course-name piracy queries.

MVP scope

  • Free one-time scan as the acquisition funnel
  • Daily scans across search dorks, curated Telegram channels, and top leak forums
  • Deduplicated leak feed with confidence scores and first-seen dates
  • One-click DMCA composer with resolved abuse contacts, sent via SendGrid
  • Takedown status tracking with automatic dead-link verification
  • Skip for v1: YouTube/Drive scanning, auto-send without review, watermarking, API, agency seats
// Build prompt — paste into Cursor / Claude Code / Lovable / Bolt
Build LeakWatch, a piracy monitoring app for course creators.

Core flow: a creator signs up, enters their course name, their own name,
known aliases, and sales-page URL. Python scraper workers then run daily
scans: Google and Bing dorks (course name plus free, download, mega.nz,
torrent), Telegram channel search via Telethon against a curated list of
course-dump channels, and known leak forums via requests plus
BeautifulSoup. Each hit is fingerprinted (URL, title, snippet, first-seen
date) and deduplicated into Postgres. The dashboard shows new leaks with a
confidence score; the creator clicks one, reviews a prefilled DMCA notice
(host abuse contact resolved via WHOIS and a hardcoded map of
registrar/host abuse emails), and sends it through SendGrid from their
verified sender address. Status tracking: sent, acknowledged, removed —
with a recheck crawler that confirms the link is dead.

Stack: Next.js App Router frontend, Python scraper workers on a cron
queue, Postgres, SendGrid for takedown emails.

Pages: landing page with a free one-time scan as lead magnet, dashboard,
leak detail with takedown composer, settings, billing.

Non-obvious details: run scrapers through rotating residential proxies and
jitter schedules or Google blocks you within a week; Telegram results need
channel-level allowlisting because keyword search alone drowns in spam.

Pricing: $49/mo one course, $99/mo five courses, $149/mo unlimited plus
weekly PDF reports.

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