Reader Journey
Technologists
This path is for readers who want to understand how I think about software, AI, product behavior, interfaces, and the systems that quietly shape work and attention.
Engineers, product people, and readers who care about how technology actually changes behavior.
Flagship
A few durable places to start
These are the pages and posts most likely to orient you before the archive gets wider.
educate · topic
Technology
Software, AI, interfaces, incentives, and the practical side of how tools shape behavior.
educate · post
You Can Only Improve What You Measure
A practical essay about why progress gets real only when it becomes visible and trackable.
educate · page
Book Notes and Reading Trail
A cleaner way into the reading layer of the site: book notes, retained ideas, and what stayed with me long enough to matter.
Start Here
The best first reads for this path
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(DAY 1262) Internal Teaching Sessions
The Edzy product team took internal fifteen-minute lectures on Class 10 topics to manually experience what the product should support.
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(DAY 1260) Manual Review of Edzy
The Edzy product team manually reviewed the app, with new product features coming soon.
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(DAY 1255) Saturday Push for Edzy
A Saturday work push on the Edzy app focused on making it friendlier for students before the upcoming release.
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(DAY 1234) What Will Developers Do Without Coding Agents Now
Coding agents are changing software work so quickly that the future of developer tools, costs, and compensation needs serious thought.
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(DAY 1233) Segal's Law in the AI Era
Segal's Law feels newly relevant in the AI era: with infinite answers available, human judgment becomes more valuable, not less.
Keep Going
More worth reading next
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(DAY 1232) The Lindy Effect and Things That Last
The Lindy Effect explains why durable ideas and tools like books, chess, and email keep outlasting predictions of their demise.
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(DAY 1227) The Value of Boring Consistency
Fitness, investing, learning, and relationships are built less by dramatic moments and more by boring consistency repeated over time.
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(DAY 1208) Wait for the AI Calling Boom
AI calling is still expensive and full of promotional spam, but once scaling laws kick in, India may see an unprecedented wave of AI-powered calls.
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(DAY 1199) The Moat Is the Personalization Engine
Wharton-backed research on AI tutors reinforces a key idea for Edzy: the real moat is not the chatbot, but the engine that decides what each student should practice next.
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(DAY 1195) Is Recorded Learning Really Dead?
Recorded learning is not dead, but AI is clearly changing how people learn and raising the bar for what static content needs to do.
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(DAY 1190) Information Gain as a Content Metric
Information gain is one of the strongest ways to judge content because real value comes from new facts, sharper insights, and better debates.
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(DAY 1183) The Rise of Sliced and Diced Niche Content
Content is getting sliced into narrower niches, and even categories like school teaching are now becoming serious creator markets with massive aggregate engagement.