digeguigui is a strain knowledge base and collection community for reptile and exotic pets worldwide, covering 633 species. It provides AI recognition, a gene calculator, health diagnosis, price references, and blockchain-based lineage tracing, and offers 9 free tools through an MCP server. The project is positioned not as breeding, medical treatment, or trading, but as "viewing, understanding, and showing off," and is described as the "Watch House" of reptile pet collectibles plus the "MorphMarket strain atlas" plus "blockchain lineage certificates."
Purpose and positioning It serves three types of users: collectors/connoisseurs (core users) who track strains, display collections, and learn breeding routes; breeders (content providers) who record lineages, mark breeding routes, and gain industry recognition; and enthusiasts/onlookers (the traffic foundation) who browse strain displays, learn strain knowledge, and view price trends. The project explicitly does not touch C2C live animal trading, does not take commissions, does not do transaction matching, and does not involve money flows.
Main capabilities Strain encyclopedia: builds a strain gene tree for each species (such as ball pythons, leopard geckos, mud turtles, etc.), similar to GitHub's commit graph, showing the branches, merges, and key nodes of each breeding route; each node corresponds to a strain trait (phenotype description, genotype combination explanation, representative images) and supports zooming for viewing. AI strain identification: AI analyzes phenotypic traits (color, pattern, body shape characteristics, etc.) and returns the inferred strain/gene combination and confidence, which can be used to automatically tag collections with strains and to verify gene combinations before pairing. Breeding route recording: breeders can create breeding projects, record the strains and genotypes of parent individuals, and multiple routes form branches and are displayed on the strain map. This can replace Excel for lineage management, and breeding results are attached to the map with permanent attribution. Collection display wall: users upload collections, and after AI automatically identifies strain traits, they are attached to the corresponding position on the strain tree, displaying photos, strain tags, keeping duration, and breeder information. It supports likes and strain matching, and provides leaderboards by species, strain popularity, and collector reputation. Strain price weather station: collects historical transaction prices for each strain (self-reported by users plus publicly available data gathered by crawlers), can filter by strain, year, and condition grade, and provides price trends and strain popularity indexes as a value reference rather than transaction matching. Industry recognition: includes breeder certification, strain contributor reputation, and annual strain awards.
How to use For live animal trading, does not take commissions, does not do transaction matching, and does not involve money flows.
Main capabilities Strain encyclopedia: builds a strain gene tree for each species (such as ball pythons, leopard geckos, mud turtles, etc.), similar to GitHub's commit graph, showing the branches, merges, and key nodes of each breeding route; each node corresponds to a strain trait (phenotype description, genotype combination explanation, representative images) and supports zooming for viewing. AI strain identification: AI analyzes phenotypic traits (color, pattern, body shape characteristics, etc.) and returns the inferred strain/gene combination and confidence, which can be used to automatically tag collections with strains and to verify gene combinations before pairing. Breeding route recording: breeders can create breeding projects, record the strains and genotypes of parent individuals, and multiple routes form branches and are displayed on the strain map. This can replace Excel for lineage management, and breeding results are attached to the map with permanent attribution. Collection display wall: users upload collections, and after AI automatically identifies strain traits, they are attached to the corresponding position on the strain tree, displaying photos, strain tags, keeping duration, and breeder information. It supports likes and strain matching, and provides leaderboards by species, strain popularity, and collector reputation. Strain price weather station: collects historical transaction prices for each strain (self-reported by users plus publicly available data gathered by crawlers), can filter by strain, year, and condition grade, and provides price trends and strain popularity indexes as a value reference rather than transaction matching. Industry recognition: includes breeder certification, strain contributor reputation, and annual strain awards.
How to use The product is primarily a WeChat Mini Program native app, with isomorphic H5 pages for sharing on Moments and browsing on PC. The backend uses Node.js plus better-sqlite3, SQLite with WAL mode enabled plus Redis caching for hot read data, and can be upgraded to MySQL later. Strain recognition calls a cloud-based large model visionThe API performs phenotype analysis and then matches lineage traits in the knowledge graph; the knowledge graph uses lineage trait vectorization and an inference engine to determine the probability from parental gene combinations to offspring. The server uses the existing Alibaba Cloud server, the domain digeguigui.com has a registered trademark, and file storage uses COS object cloud storage. The project has an independent code repository and an independent database, and shares the WeChat login system, server resources, and object storage. In addition, an MCP server is provided, including 9 free tools.
Applicable scenarios Suitable for reptile collectors to track lineages and display collections, breeders to record pedigrees and selection routes, and enthusiasts to learn lineage knowledge and view price trends; it is also suitable for breeders who want to migrate pedigree records from Excel to the platform and gain recognition within the community. The AI identification H5 page can be spread through WeChat Moments, and the collection rankings can generate shareable cards.
Limitations The project is explicitly not a live animal trading platform, does not engage in C2C transactions, and does not take commissions; the price module only provides price references for information transparency, does not provide transaction matching, and does not touch the flow of funds. The above introduction is based on the project's public information; the specific charging method, the complete feature list, and the detailed implementation steps of health diagnosis and blockchain traceability have not yet been provided.
