A selection of AI-powered applications, Web3 innovations, and experimental systems built at Digital Rain Technologies
๐ Consensus HK 2025 Hackathon Winner
Pix
8-Bit Oracle's Little Sister - AI Oracle Twitter Bot
An autonomous Twitter bot that performs I-Ching divinations and posts about arXiv research. Integrates with 8-Bit Oracle's backend for divination logic and persists readings to OriginTrail's Decentralized Knowledge Graph for verifiable provenance. Originally focused on crypto news commentary, evolved to share AI research insights with divinatory interpretation.
AI/MLTwitter BotOriginTrailDKGI-ChingWeb3
Six Lines
Native iOS I-Ching & Chinese Almanac โ Built on Primary Sources
A native iOS I-Ching reference and Chinese almanac grounded in primary sources โ 3,600+ scanned pages from Qing imperial manuscripts, character-by-character semantic translations, and 4,096 Yilin transformation verses. Every feature traces back to classical volume-and-page citations. Multiple scholarly lenses on the same hexagram: decoded commentary, Wilhelm translations, Hatcher semantic matrices. On-device AI study companion via Apple Foundation Models with cloud interpretation via 8-Bit Oracle's backend. Available in English, Traditional Chinese, and Simplified Chinese.
SwiftUIPrimary SourcesI-ChingiOSApple Foundation ModelsMultilingual
8-Bit Oracle
Modular I-Ching Divination Platform
A multilingual I-Ching divination platform with a layered architecture that separates casting, interpretation, and voice into independent modules. Exposing the bare interpretation lets users judge what the AI is actually telling them, independent of narrator style. Three interpretive styles โ ็พฉ็ (moral philosophy), strategic analysis, and practical โ with cultural anchoring from Hong Kong Cantonese to cyberpunk cinema. Provides the divination backend for Pix. Available in English, Mandarin, Traditional Chinese, and Thai.
AI/MLNext.jsModular ArchitectureI-Chingi18nMultilingual
QDayAnon Research Intelligence Platform
AI-Powered Research Curation & Publishing System
A production research intelligence platform that ingests hundreds of articles and research papers daily, ranks them by relevance, and ensures editorial variety before publishing to social media and its newspaper-style frontends โ theqi.news and thelongview.news. A built-in RAG research assistant queries the full news ingestion knowledge base and research paper database. Uses DSPy (Declarative Self-improving Language Programs) to optimize voice authenticity, creating more natural and engaging commentary. Explores the intersection of AI agency, automated journalism, and algorithmic identity.
AI/MLDSPyResearch IntelligenceRAGAutomationLLM
DKG OriginTrail Integration
Decentralized Knowledge Graph Implementation
Implementation of OriginTrail's Decentralized Knowledge Graph for verifiable data storage and retrieval. Built integration layer for publishing and querying knowledge assets on the DKG, enabling semantic data interoperability and provenance tracking.
Web3Knowledge GraphsBlockchainData Provenance
Bonsol Verifiable Compute
Zero-Knowledge Proof Experiments
Exploration of Bonsol's verifiable compute framework on Solana. Implemented ZK-proof workflows for privacy-preserving computation and on-chain verification. Experimentation with RISC Zero integration for trustless execution.
Web3Zero-KnowledgeSolanaCryptography
Passkey Authentication Systems
Modern Passwordless Auth
Implementation of FIDO2/WebAuthn passkey authentication for web and mobile platforms. Navigated platform-specific challenges on Android, iOS, and web to deliver seamless passwordless authentication experiences.
SecurityAuthenticationMobileWeb
Our Approach
At Digital Rain Technologies, we combine enterprise-grade architecture expertise with cutting-edge AI and Web3 technologies. Each project represents exploration at the intersection of emerging technologies, thoughtful design, and practical implementation.
From winning hackathons to shipping production systems, we focus on building experiences that push technical boundaries while solving real problems.