TextClaim Watch

Who it's for

Independent authors, small publishers, and literary agents who today cope by manual Google/site searches, chasing takedowns through volume-limited publisher tools, or hiring expensive rights attorneys.

The problem

Time + money: authors/publishers waste legal-hours and miss early evidence windows; missed rapid detection allows copies to propagate into model training and marketplaces, costing licensing revenue and legal standing.

How to build it

SaaS dashboard + email alerts + one-click evidence ZIP download (PDF+machine-readable JSON) that includes cited crawl shard URLs, RFC-3161 timestamped hashes, and pre-filled DMCA/Cease-and-Desist drafts ready for lawyer or platform submission.

How it makes money

Who pays: small publishers/indie authors or their agents pay subscription tiers—$30/mo per author for single-title monitoring; $200–$500/mo for small presses monitoring up to 500 titles—because platform-native options are absent, and legal teams will reimburse the subscription as a cheaper alternative to hourly attorney time; a one-off paid evidence-packet export ($150) for takedown/legal use covers urgent cases and prevents misuse of free generic search tools which can't produce timestamped, shard-cited packets.

Why it doesn't exist yet

Platforms and big-rights firms have expensive custom crawlers; generic plagiarism tools don't index raw dataset shards or offer cryptographic timestamping and pre-filled legal packets; building a reliable, crawl-and-hash pipeline covering CC shards + HF + GitHub + paste sites is engineering-heavy but within reach for an indie focusing only on book/text fingerprinting.

First users

The first 10 users will be authors/publishers alerted by the recent high-profile litigation and piracy stories (Authors v. OpenAI), motivated to get early detection and evidence to preserve legal claims and licensing leverage; literary agents and small presses will sign up to protect upcoming releases.

Build size

2 people x 10 weeks: includes crawler infra for selected public sources (Common Crawl index lookups + shard fetch, Hugging Face dataset index scan, GitHub code search + raw blob checks, pastebin/x equivalents), a fingerprinting/matching engine (rolling n-gram+fuzzy threshold), a small React dashboard for title onboarding and alerts, email+webhook notifier, and a one-click evidence PDF/JSON packager; excludes building a custom long-term archival storage or enterprise SSO/billing plumbing.

Biggest risk

A major platform (e.g., Hugging Face, Common Crawl, or a legal-tech vendor) could ship built-in copyright-monitoring + timestamped evidence exports, commoditizing detection and undercutting indie pricing within 6–12 months.

Conditions for a hit (all 3 required)

• Automated match report: given a monitored title text (or its fingerprint), produce within 24h a JSON report listing matches with source domain, exact byte offsets, and a normalized similarity score ≥80% for verbatim/near-verbatim detection.
• Evidence packet: downloadable ZIP that contains (1) a 1‑page PDF summary with cited shard URLs and RFC-3161-style timestamped SHA256 hashes, (2) the raw matching snippets (up to 5 per hit) and unified diff against the original, and (3) a pre-filled DMCA + cease-and-desist template populated with the match details and contact fields.
• Alerting guarantees: send email + optional webhook within 24h of first-seen match and include a reproducible verification script (curl+sha256) that a third party can run to fetch the cited shard and confirm the hash within 7 days (so external auditors can verify the claim).

How it's judged (in 6 months)

GitHub stars >=1,000 on a public repo named textclaim/watch OR Product Hunt daily top 5 with a live SaaS signups page showing >=100 paying accounts (stripe dashboard screenshot)(judgment date 2027-03-31)

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