Project Overview

CompanionSquared is a privacy-first AI companion designed to help people nurture friendships through natural reflection and thoughtful connection insights. Unlike traditional CRMs built for business networking, this is specifically crafted for personal relationships with a focus on becoming a more intentional friend.

Core Problems Solved:

Friendship Maintenance Friction - Eliminates the need for complex contact management or structured data entry by using natural voice/text journaling
Lost Connection Opportunities - AI discovers patterns and shared interests across friends to suggest natural ways to bring people together
Privacy Concerns in Personal CRM - No contact importing, social media syncing, or external integrations - reflections stay completely private
Overwhelming Relationship Tools - Focuses solely on friendship quality over networking quantity, avoiding the "stalking not wooing" problem plaguing business CRMs

Tech Stack:

Frontend: HTML5, CSS3, JavaScript (Vanilla)
Backend: Static site with component-based architecture
Database: TBD (Privacy-first approach)
Authentication: TBD (Secure processing without vendor lock-in)
Infrastructure: Static hosting with modular CSS/JS components

Lessons & Next Steps

Key Learnings:

Traditional CRM approaches fail for personal relationships due to business-centric design assumptions
Privacy-by-design is not just a feature but the core differentiator - users want friendship tools that don't feel like surveillance
The "essence of CRM" needs redefining for personal use - it's about reflection and growth, not data collection and optimization
Simplicity in input (natural conversation) paired with intelligent processing creates the lowest friction for adoption

User Feedback:

Currently in waitlist phase - gathering interest and early user insights
Target pricing ($70/year) resonates well compared to business CRM alternatives ($144-240/year)
Strong interest in voice-first mobile experience for daily reflection habits

Version History:

v0.1 (Current): Static marketing site with waitlist functionality, comparison pages vs Monica/Clay/Dex, component-based architecture with privacy-focused messaging

Future Development Plans:

Launch with core reflection and AI parsing features
Build friend communities discovery based on shared activities/interests
Implement gentle insight notifications without becoming intrusive
Expand to group activity planning assistance while maintaining privacy-first approach
Mobile-optimized voice input for seamless daily check-ins

The project represents a fundamental shift from thinking about relationships as data to be managed toward relationships as experiences to be reflected upon and nurtured.