Turning complex reality into simple products.

WHY I BUILT THIS

I saw a consistent gap in how people understand and improve their relationships. While therapy can be valuable, it is often expensive, difficult to access, and not embedded in the day-to-day interactions where most relationship dynamics actually play out. I wanted to build a system that brings more clarity to those everyday moments — helping people better understand how they communicate, how patterns form, and where friction emerges.

WHAT IT DOES

ConversationLens analyzes real conversations (text, audio, or transcripts) to identify communication patterns, emotional dynamics, and recurring points of tension. The goal is not to replace therapy, but to complement it by providing structured, objective insight into how people communicate, visibility into patterns across time (not just isolated moments), and practical, evidence-informed suggestions for improving interactions. The platform combines conversation analysis, AI-guided reflection, and voice-based sessions into a single system designed to make relationship insight more continuous and accessible. Live with active users since November 2025.

WHY I BUILT THIS

Customer acquisition is difficult, especially for early-stage companies. Paid advertising is fast but expensive, while organic growth and word of mouth are more authentic but take significant time and effort to build. I saw an opportunity to make this middle ground more efficient — helping companies participate in real conversations at scale, without losing authenticity. Platforms like Reddit and Quora already contain high-intent discussions, but finding the right ones and responding thoughtfully is time-consuming. ThreadLift was built to make this process faster, more structured, and easier to scale.

WHAT IT DOES

ThreadLift identifies relevant conversations across platforms like Reddit and Quora and helps you engage in them effectively. For each thread, it generates context-aware reply drafts that you review and refine before posting. The goal is not to automate engagement, but to make high-quality participation more efficient. ThreadLift helps teams reduce the time required to find and engage in relevant discussions, contribute in a way that feels natural to each platform, and build awareness through consistent, credible participation rather than paid campaigns. It is designed for founders, marketers, and teams who want a more scalable approach to organic distribution. Live since April 2026.

WHY I BUILT THIS

There is growing interest in personal health optimization, driven by figures like Bryan Johnson and Andrew Huberman, as well as the rapid adoption of wearable devices. In practice, most tools either overwhelm users with raw data or simplify the problem to the point where the insights are not actionable. What felt consistently missing was a clear connection between everyday behavior and how you actually feel over time. I built LifeMadeEasy to focus on that gap — making it easier to understand how daily actions, routines, and context influence personal health, without requiring users to interpret complex data themselves.

WHAT IT DOES

LifeMadeEasy integrates data from sources such as Apple Health, Oura Ring, and calendar activity to build a unified view of your day. It analyzes this data to identify relationships between behavior and physiological signals — for example, how different types of days or meetings correlate with heart rate and stress, whether specific routines are associated with better sleep or recovery, and which activities tend to align with higher or lower HRV over time. The system focuses on surfacing patterns and correlations in a way that is interpretable and useful, rather than presenting raw metrics alone. An AI assistant allows users to log activities conversationally and explore their own data through questions, while a timeline interface presents daily life as a continuous sequence of events and signals that can be reviewed and annotated.