People at Journalyst
Journalyst is built on a fundamentally different belief: trade journaling should not just be a record-keeping exercise, it should be an intelligent performance-enhancing system that actively helps traders think better, decide better and grow faster. Most journals today are passive dashboards that display charts, equity curves and win/loss ratios while expecting the trader to interpret everything alone. Journalyst flips that by delivering AI-driven insights that behave like a trading mentor, detecting psychological patterns, execution mistakes, emotional triggers and discipline lapses while suggesting precise corrective actions. It is process-centric instead of outcome-centric and aligns with prop-firm thinking by prioritizing consistency, confluence, rule adherence and execution quality rather than just profit or loss, adapting to each trader’s unique psychology instead of giving generic motivation. Voice-based AI coaching is already on the roadmap, so traders can speak to Journalyst like a coach pre or post-market and ask questions such as “What is the biggest pattern I am messing up right now?” and receive real-time guidance. Built for long-term edge rather than historical record-keeping, Journalyst helps traders think in probabilities instead of outcomes and is founded by an active full-time trader who deeply understands the mental game behind true consistency.
Pranay Kumbhare
Founder
Anusha Gaur
Product Designer focused on scalable SaaS, dashboards, onboarding systems, design systems, and AI-assisted user experiences.
Harshita Sachdev
Via
Aritra paul
Back-end Developer specializing in React, TypeScript, Node.js, Hono, PostgreSQL, and Prisma. Built scalable web applications. Passionate about backend systems, problem-solving, and building impactful products in startup environments.
Sayeed Rizwan
Via
Product Manager with 2+ yrs in SaaS & fintech. Engineering background in Java & Spring Boot. Building AI-driven products.
Pranay Kumbhare
Founder at Journalyst and full-time trader (5+ yrs) building an AI-driven trade journaling platform to empower disciplined, data-backed trading decisions.
MohammedAnas Shakil Kazi
Via
Arsalan Rafique Shaikh
Via
Piyush Pardeshi
