"Finding the signal in the noise of 4 million books."
Readers have years of history on Goodreads, but that data is invisible in a physical shop. ShelfLife bridges the Context Gap.
We are targeting the "Hybrid Reader" who tracks reading online but buys offline. Currently, they face a massive Data Silo.
That's the noise level. Finding one "good" book is a needle in a haystack.
Buying a hardcover is expensive. Picking a "dud" feels like wasting money.
Without guidance, shelves at places like Value Village are just overwhelming visual noise.
ShelfLife is the only solution that scans the whole shelf at once and cross-references it with your data.
Multi-book OCR identifies 30+ spines instantly.
Syncs with your Goodreads "Read" & "DNF" lists.
LLM analyzes "vibe" match, not just genre tags.
Contrary to the "print is dead" myth, the physical book market is stable ($25B) and driven by digitally savvy users.
North American Book Market (78% is Print Format)
Goodreads Registered Users (The "Trackers")
Capturing just 0.5% of active trackers in 18 months.
• Thrift/Manual: High friction, chaotic organization, zero data.
• Generic LLMs (ChatGPT): "Context Gap"—they don't know your history, so suggestions are generic.
• ShelfLife: The only option in the top-right quadrant (High Context + Physical World).
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We don't scan barcodes one by one (too slow). Our computer vision model analyzes the entire shelf at once, identifying text on spines (titles and authors) in milliseconds. This captures 20+ books in a single frame.
We are entering AI2Market not just to build features, but to test the business model.
Validate if "Browsing Fatigue" is painful enough to drive app downloads.
If consumer demand is weak, we pivot the OCR tech to Resellers (price checking) or Bookstore Inventory Audits.
Release Beta. Metric to watch: Retention. If users scan once and leave, we pivot.
Partner with 1 independent bookstore to test on-site engagement.
Roll out premium tier or B2B data dashboard based on validation results.
ShelfLife
"The right book, at the right time."