Pokémon card authenticity checker using systematic visual checks
An AI tool that analyzes photos of Pokémon cards to detect fakes by examining back texture, fonts, kerning, and holo pattern. It helps collectors verify authenticity without relying on subjective manual checks.
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Agent Legibility Analyzer: test if AI shopping agents can parse your store
A tool that lets e-commerce store owners check whether AI shopping agents can read and understand their product listings. It uses LLMs to simulate how agents interpret store content, helping merchants optimize their sites for agent-driven shopping.
Shamshot: daily game to spot real vs AI/fake images
Shamshot is a free daily game where users vote whether three images are real snapshots or AI/fake shams. It uses no LLMs but addresses the problem of distinguishing reality from AI-generated content, helping users appreciate real-world absurdity.
AI photo editor with text prompt editing
An AI-powered photo editor that lets users perform professional-grade image editing using text prompts. It uses LLMs to interpret natural language instructions and apply edits accordingly, solving the problem of complex manual editing for casual users and professionals alike.
QR and barcode scanner with history and smart actions
PureLens is an iPhone/iPad app that scans QR codes, EAN, UPC, and ISBN barcodes, then offers smart actions like opening links, copying text, joining Wi-Fi, or calling numbers. It maintains a searchable scan history and allows organizing scans into collections for later reference, solving the problem of ephemeral scan results.
LLM hardware recipe database with filters and community usage tracking
A community-driven database that lists which LLM models run on which hardware, with performance details. Users can filter by hardware, submit new recipes, and mark which recipes they actively use to show popularity. It solves the problem of finding compatible model-hardware combinations for LLM deployment.