The lessons from Sushanth's years of building Kickbear: avoid repeated work, preserve source evidence, replace tools in stages and design around a personal research workflow.
How Sushanth brought financials, deals, shareholding and technicals into a local four-panel WebApp, with separate data pipelines, TEST and PROD environments and persistent watchlists.
How Sushanth turned BSE and NSE XBRL filings into usable shareholding and financial data, and what he learned about reporting periods, business differences, source evidence and practical design.
How Sushanth moved analysis from Java to Python, used Jupyter and Streamlit for research, and learned why easier code did not automatically mean faster processing or a better interface.
How Sushanth added Firebase, cloud processing, watchlists and email alerts to Kickbear, and what he learned about data organization, recovery and keeping useful updates within reach.
How Sushanth built BTD to collect exchange and MC data, manage long processing runs and create reports, and what he learned about scheduling, company identity and gradual change.
An AI-written review of Sushanth's project, tracing its beginnings in Excel, daily exchange files and the first Java/MySQL tools, and the lessons he learned along the way.
This is how my Gatsby Site looked
A visual record of 48 Google Cloud Skills badges earned across infrastructure, data, machine learning, networking, Kubernetes, and application development.
What I learned while moving 149 posts from Gatsby to Quartz without forking Quartz core.