Project ideas from Hacker News discussions.

AI companies are shredding rare books

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

5 Dominant Themes in the Discussion

Theme	Summary	Representative Quote
1. Legal permissibility of destroying books for AI training	Many commenters note that current case law treats destructive scanning as lawful, even when the material is still under copyright.	“And the judge said it’s legal.” — acount37
2. Moral repugnance of book destruction	A recurring moral objection frames the practice as equivalent to book‑burning, regardless of its legality.	“Destroying books is in itself a morally repugnant act.” — andrepd
3. Fear of losing rare cultural artifacts	Users worry that unique, often out‑of‑copyright works are being eliminated, jeopardizing future scholarship.	“Part of the (relatively) happy denouement included the Chinese coming in with the nondestructive process and everyone being quite happy with that. So yes, the Shredders were the villains.” — 59percentmore
4. Economic/technical incentive for destructive scanning	The consensus is that ripping books apart is the cheapest and fastest way to harvest large‑scale training data.	“Scanning books by taking them apart into singular pages and scanning those pages is faster and cheaper.” — ACCount37
5. Calls for public preservation / copyright reform	Several commenters demand that scanned content be made publicly available and that the copyright regime be updated to protect cultural heritage.	“They should be forced to publicly release the books as an Ebook.” — 999900000999

All quotations are reproduced verbatim with double‑quote markup and direct attribution.

🚀 Project Ideas

ArchiveSafe Nondestructive Book Scanning as a Service

Summary

Preserves rare books by scanning them non‑destructively and hosting the digital copies in a publicly accessible repository.
Gives owners a revenue stream when AI firms license the scans for training.

Details

Key	Value
Target Audience	Rare book collectors, university libraries, private archivists
Core Feature	AI‑partnered non‑destructive digitization with guaranteed open‑access distribution
Tech Stack	React front‑end, Django REST API, AWS S3 for storage, Tesseract OCR, 3D‑printed book cradle scanners
Difficulty	Medium
Monetization	Revenue-ready: subscription per scan

Notes

HN readers have repeatedly lamented the loss of irreplaceable volumes – a service that lets them keep the original while monetizing the digital twin would be a direct solution.
Potential for discussion around legal safe‑harbor for fair‑use scanning and for building a community‑driven preservation network.

RareBook Ledger – Tokenized Preservation Marketplace

Summary

Lets owners tokenize rare books as NFTs that fund non‑destructive scanning and guarantee future access.
Provides transparent royalty distribution when AI companies use the digitized content.

Details

Key	Value
Target Audience	Collectors, cultural heritage NGOs, blockchain investors
Core Feature	Tokenized ownership with automated royalty splits for scanning fees and AI licensing
Tech Stack	Ethereum smart contracts, IPFS for storing scans, React/Next.js UI, Aragon DAO framework
Difficulty	High
Monetization	Revenue-ready: 5% platform fee on royalty payouts

Notes

The HN thread questions whether AI firms will ever give back – tokenized provenance makes that mandatory and auditable.
Sparks conversation on balancing preservation incentives with blockchain hype.

OpenRare Archive – Community‑Driven Rare Book Repository

Summary

Crowdsources high‑quality scans of obscure titles and makes them permanently free to download.
Offers contributors a small stipend funded by AI licensing fees.

Details

Key	Value
Target Audience	Researchers, hobbyist archivists, public‑domain advocates
Core Feature	Community‑curated digital library with DRM‑free access and contributor reward pool
Tech Stack	PostgreSQL, Django, Cloudflare R2 storage, OCRmyPDF, Discourse forum for governance
Difficulty	Low
Monetization	Revenue-ready: micro‑donation tier (e.g., $1/month) plus licensing fees

Notes

HN users often ask “where can I get these books?” – this provides a direct answer while giving contributors a stake.
Creates a discussion on sustainable open‑access models rather than one‑off purchases.

PageTurner Labs – DIY Non‑Destructive Book Scanner Kit

Summary

Low‑cost modular scanner that fits onto any book and digitizes it without binding damage.
Offers a subscription to offset scanner costs for community labs.

Details

Key	Value
Target Audience	DIY makers, university labs, hobbyist archivists
Core Feature	Modular hardware + open‑source scanning software that turns books into PDFs without destruction
Tech Stack	Arduino/ESP32, Python imaging pipeline, Docker for deployment, LibreCAD for mechanical plans
Difficulty	High
Monetization	Revenue-ready: $199 kit + optional $5/month maintenance subscription

Notes

The HN thread mentions the scarcity of affordable scanning hardware – a kit would directly address that pain point.
Encourages community‑driven preservation and sparks dialogue on open‑source hardware licensing.

FairUse Audit Pro – AI Training Compliance SaaS

Summary

Audits a company’s scanning and ingestion pipelines to flag potential copyright infringements.
Generates a compliance report that can be used to negotiate licences or settle disputes.

Details

Key	Value
Target Audience	AI startups, legal teams, compliance officers
Core Feature	Automated fair‑use risk scoring, audit trails, and licensing recommendation engine
Tech Stack	Node.js backend, GraphQL API, Elasticsearch, ML models for text similarity, AWS compliance dashboard
Difficulty	Medium
Monetization	Revenue-ready: tiered SaaS pricing (Starter $49/mo, Enterprise $499/mo)

Notes

Many HN comments debate whether shredding is “legal” – this tool gives concrete data to inform those debates.
Could become a standard due‑diligence step for any organization using copyrighted material.

LastCopy Registry – Risk‑Based Rare Book Preservation Platform

Summary

Aggregates metadata on books at risk of shredding and alerts owners to preservation opportunities.
Connects at‑risk titles with NGOs that can secure funding for non‑destructive digitization.

Details

Key	Value
Target Audience	Libraries, archival foundations, policymakers
Core Feature	Real‑time risk scoring, crowd‑funded preservation grants, and automated matching to digitization partners
Tech Stack	Python/Either, Firebase Firestore, React Native mobile app, DL API for risk modeling (XGBoost), Stripe for micro‑grants
Difficulty	Medium
Monetization	Revenue-ready: grant administration fee (5% of funded amounts) + premium analytics subscription

Notes

Directly responds to the HN worry about “rare books disappearing” – provides a proactive preservation path.
Fuels discussion on policy incentives and public‑private partnership models.