MinorFeedReceipt

Who it's for

Parents of ages 10-17 who currently cope with manual screenshots, Notes app timelines, and occasional lawyer redrafts of platform data exports

The problem

time (weekend lost per child assembling exhibits) + legal (uncited screenshots rejected by schools/AGs/custody mediators after the Meta settlement wave)

How to build it

local-first desktop/web drag-drop app; parsers run on-device; PDF pack download only

How it makes money

parents pay $29 one-time per child report (or $79 family pack) because free LLM paste jobs produce uncited walls of text lawyers and schools reject and no free export viewer emits stamped AG/school exhibit PDFs

Why it doesn't exist yet

platforms will never ship tools that turn their own exports into AG-ready harm exhibits; general parental dashboards and privacy cleaners stop at dashboards or deletion letters and skip settlement-tied cited timelines + state form packs; an indie can hard-code the 4 dominant export schemas and 6 common AG templates fast

First users

parents already posting in the HN/Reuters Meta-settlement threads and r/Parenting looking for 'how do I document this for the school/AG'

Build size

1 person x 7 weeks (IG/TT/YT/FB zip parsers + Screen Time CSV join, timeline+heat renderer, 6 state AG + generic school PDF templates; exclude live account access, continuous monitoring, or non-US forms)

Biggest risk

Apple/Google/Meta ship native family 'exposure report' PDFs or the settlement forces standardized official export summaries that make third-party packets redundant

Conditions for a hit (all 3 required)

• Accepts Instagram/TikTok/YouTube Takeout-style zip + optional Apple or Google Screen Time CSV and emits one dated PDF timeline containing hour-of-day heat bands and top-20 interaction partners in under 8 minutes on a laptop with no raw upload
• Every timeline line cites exact source file path + timestamp/row inside the original zip so a third party can re-open the export and verify the claim
• Outputs at least one pre-filled PDF addressed to a US state Attorney General consumer division (or school counselor) whose exhibit list matches the generated timeline page-for-page

How it's judged (in 6 months)

Product Hunt daily top 5 or GitHub ≥500 stars or public Gumroad/Stripe counter showing ≥200 paid reports(judgment date 2027-02-27)

AI self-confidence 42/100 — self-reported likelihood of meeting the criterion, not a business success rate