stikeyoda
Member
Need Your Input – Evaluating Shaving Brush Knots
For over a year, I have been working on a Wet Shaving Knowledge Base (WSKB) project that directly addresses key pain points in the wet shaving community. By creating a centralized, objective repository of knowledge that accounts for the highly subjective "YMMV" factor, I aim to lay the groundwork for a resource that can genuinely revive and standardize education around traditional wet shaving techniques. The emphasis on community-driven data (e.g., shared catalogs, user diaries, and provenance tracking) aligns perfectly (I think) with the hobbyist, collector, and artisan demographics, fostering collaboration without relying on commercial vendors. Integrating personal inventories and diaries makes it practical for daily use and has a future AI/graph database vision that positions it for advanced personalization—think pattern recognition across user profiles to recommend setups based on skin type, water hardness, and shave history.
Strengths:
• Community Focus: The system democratizes knowledge, making it easier for newcomers (e.g., sons learning from absent traditions) and experts alike. Features like easy SotD (Shave of the Day) publishing could boost engagement on forums.
• Scalability and Modularity: Starting with Firestore (scalable, real-time NoSQL) and Flutter/FlutterFlow (cross-platform, mobile-first) is smart for cost control and offline access. Firestore's offline persistence handles spotty connectivity seamlessly.
• Objectivity with Subjectivity: Acknowledging variables like material differences (brass vs. titanium razors) and environmental factors builds trust in future recommendations. The AI potential to "recognize patterns" from collective data is exciting for evidence-based recommendations.
I have gone through multiple (painful) prototypes using Notion and am about to begin a production build using Google’s Firestore. I hope that it will get picked up by one of the Wet Shaving Boards or Groups so that it can be free for everyone. I will continue to fund it until the bugs are worked out.
Currently, I am about to finalize the Shaving Brush Knot elements and would appreciate any feedback anyone may have for improvement. I’ve attached the current status for Knots as well as an overall design document for the system as it currently stands. Any feedback will be greatly appreciated. Below is a Dropbox link to a folder with the Knots specifications as well as overviews of the system as it currently exists.
www.dropbox.com
For over a year, I have been working on a Wet Shaving Knowledge Base (WSKB) project that directly addresses key pain points in the wet shaving community. By creating a centralized, objective repository of knowledge that accounts for the highly subjective "YMMV" factor, I aim to lay the groundwork for a resource that can genuinely revive and standardize education around traditional wet shaving techniques. The emphasis on community-driven data (e.g., shared catalogs, user diaries, and provenance tracking) aligns perfectly (I think) with the hobbyist, collector, and artisan demographics, fostering collaboration without relying on commercial vendors. Integrating personal inventories and diaries makes it practical for daily use and has a future AI/graph database vision that positions it for advanced personalization—think pattern recognition across user profiles to recommend setups based on skin type, water hardness, and shave history.
Strengths:
• Community Focus: The system democratizes knowledge, making it easier for newcomers (e.g., sons learning from absent traditions) and experts alike. Features like easy SotD (Shave of the Day) publishing could boost engagement on forums.
• Scalability and Modularity: Starting with Firestore (scalable, real-time NoSQL) and Flutter/FlutterFlow (cross-platform, mobile-first) is smart for cost control and offline access. Firestore's offline persistence handles spotty connectivity seamlessly.
• Objectivity with Subjectivity: Acknowledging variables like material differences (brass vs. titanium razors) and environmental factors builds trust in future recommendations. The AI potential to "recognize patterns" from collective data is exciting for evidence-based recommendations.
I have gone through multiple (painful) prototypes using Notion and am about to begin a production build using Google’s Firestore. I hope that it will get picked up by one of the Wet Shaving Boards or Groups so that it can be free for everyone. I will continue to fund it until the bugs are worked out.
Currently, I am about to finalize the Shaving Brush Knot elements and would appreciate any feedback anyone may have for improvement. I’ve attached the current status for Knots as well as an overall design document for the system as it currently stands. Any feedback will be greatly appreciated. Below is a Dropbox link to a folder with the Knots specifications as well as overviews of the system as it currently exists.
Dropbox
www.dropbox.com