On October 26, 2024, the BrushO team participated in the Hong Kong Solana Hacker House event hosted by the Solana Foundation. The event gathered outstanding projects within the Solana ecosystem, providing an exceptional platform for developers, innovators, and Web3 enthusiasts from across the industry to connect and exchange ideas.

At 4:20 pm (UTC+8) on October 26, BrushO’s Chief Technology Officer, Quentin So, took the stage during the “Demo Day” segment. A veteran with over 20 years of experience in software and hardware development, Quentin has an extensive background in AI vision, GameFi, and smart toys. His passion for innovation and product development is evident, and his work seamlessly combines hardware, blockchain, and AI technologies, setting BrushO apart as a pioneering DePIN project.
During his presentation, Quentin highlighted BrushO’s recent technological advancements and future vision, focusing on the highly anticipated BrushO AI-Powered Mining Toothbrush. He detailed the unique features of this life-enhancing mining device, emphasizing its powerful AI brushing capabilities and its eco-friendly mining approach, coined “brush-to-mine.” Quentin further underscored BrushO’s commitment to establishing Web3 oral health identities for users, empowering them with privacy, data ownership, control, and profit-sharing rights, thereby maximizing the value of oral health data for both the industry and individuals.
In addition to presenting the project and product, the BrushO team engaged in in-depth discussions with Solana Labs and Solana Foundation teams to gain insights into the Solana ecosystem. These conversations helped BrushO pinpoint areas for future technical optimization and laid the groundwork for potential collaborations. Through these interactions, BrushO is excited to push the boundaries of innovation in technology and operations.
The Solana Hacker House in Hong Kong offered an ideal environment for networking, equipped with fast Wi-Fi, power sources, workstations, food, and lounges for continuous conversations, work, and relaxation. Here, BrushO connected with developers from around the world, exchanging ideas, discussing future collaborations, and building a strong foundation for BrushO’s scalability and sustained growth.
Looking ahead, BrushO plans to participate in more influential industry events, engaging with global Web3 developers and stakeholders. We look forward to exploring collaborative opportunities to advance the future of Web3 and DePIN projects together. Stay tuned for our updates, and we hope to connect with you at future events!
BrushO is a decentralized global oral health data platform, consisting of the BrushO AI-Powered Mining Toothbrush and the BrushO Network. BrushO’s mission is to empower users worldwide by establishing personal oral health Web3 IDs and accumulating personal oral health data assets, ultimately creating a global oral health Web3 identity network. Through user authorization, BrushO transforms the oral health industry by restructuring production relationships while safeguarding user privacy, driving industry upgrades, and raising global oral health standards.
This special edition of the Solana Hacker House is a three-day offline event featuring talks, panels, and workshops by industry thought leaders, with in-person guidance from Solana Labs and Solana Foundation team members and networking opportunities with teams from the Solana ecosystem.
Oct 28
Oct 23

An in-depth exploration of the three principal hardness testing methodologies used in dental enamel research—Vickers, Knoop, and nanoindentation—and what they reveal about remineralization, erosion, and the anisotropic mechanical properties of the body's hardest tissue.

A deep dive into silver diamine fluoride—its mechanism of action combining silver's antimicrobial properties with fluoride's remineralization, FDA approval history, clinical efficacy data for arresting cavitated lesions, and practical considerations including the characteristic dark staining.

Reviews the emerging field of oral probiotics—examining specific strains (S. salivarius K12/M18, L. reuteri) and their mechanisms including competitive exclusion, bacteriocin production, and immune modulation. Evaluates clinical evidence for halitosis reduction, caries prevention, and periodontal health.

Explores oral lichen planus—a T-cell mediated chronic inflammatory condition affecting 1-2% of the population. Covers subtypes, diagnostic hallmarks, malignant transformation risk, and management from topical corticosteroids to systemic immunosuppressants.

Explores the dental implications of intermittent fasting—how prolonged fasting windows alter salivary flow, pH buffering capacity, and the oral microbiome, potentially increasing or decreasing cavity risk depending on hydration and meal composition.

A technical deep dive into the hardware powering AI toothbrushes—how 6-axis inertial measurement units achieve real-time orientation tracking, zone classification, and brushing motion analysis through sensor fusion algorithms with sub-second latency.

Examines Hunter-Schreger bands—alternating zones of decussating enamel prisms visible under polarized light. Explains how this crack-deflection architecture dramatically increases enamel fracture toughness, and its clinical relevance for understanding enamel's remarkable durability.

Explains the biological mechanisms behind age-related tooth darkening—how progressive deposition of peritubular dentin within dentinal tubules creates sclerotic dentin, altering light transmission. Covers differentiation from pathological sclerosis and implications for whitening treatment expectations.

Investigates dental pulp stones—their prevalence (up to 50% in some populations), classification, hypothesized etiologies, and clinical significance for endodontic access and treatment planning.

Modern AI toothbrushes perform complex computations — zone classification, pressure detection, stroke recognition — entirely on-device using edge computing architectures, eliminating the latency, privacy, and connectivity constraints of cloud-dependent processing. This article dissects the hardware, neural network architectures, and real-time inference pipeline that enable a toothbrush to understand brushing behavior.