DossierDigest

Who it's for

Consumers who just filed DSARs/CCPA requests after stories like the McDonald’s 515-page loyalty dump; today they cope with raw PDF readers, CTRL-F, or abandoning the file

The problem

time (2–6 hours lost parsing opaque dumps) plus legal (missed share clauses that block follow-up complaints)

How to build it

Web app with drag-drop ZIP/PDF/JSON plus optional forward-to-email ingest

How it makes money

End users pay $9 per dossier or $29/year unlimited because free general LLMs still upload the full PII dump to a third party and produce no addressed legal templates

Why it doesn't exist yet

Removal brokers (Incogni/DeleteMe) and big privacy suites skip post-access parsing because every vendor schema differs and ARPU is tiny; the indie gap is a narrow top-20 loyalty parser + citation engine that those suites ignore

First users

Commenters and cross-posters from the McDonald’s HN/Wired thread who already have their own dumps sitting unread

Build size

1 person x 7 weeks: parsers + citation summarizer for ~15 major loyalty/export formats, request-PDF generator; excludes automated filing, broker APIs, or mobile apps

Biggest risk

Apple/Google or a major browser ships a native ‘explain this data export’ viewer or regulators force a single machine-readable DSAR schema with an official viewer

Conditions for a hit (all 3 required)

• Accepts ZIP/PDF/JSON export from at least McDonald’s + two other named consumer programs and emits a 2-page HTML/PDF summary with page/line citations in ≤3 minutes
• Surfaces every third-party-share or inference field with the exact source offset from the original dump
• Outputs a filled, addressed CCPA/GDPR deletion or correction request PDF ready to send to the company’s published privacy contact

How it's judged (in 6 months)

Product Hunt daily top 5 or GitHub ≥500 stars(judgment date 2027-02-14)

AI self-confidence 48/100 — self-reported likelihood of meeting the criterion, not a business success rate