Two Years of Shipping Landed on Same Median

Hariprasad Sudharshan told AI Engineer two years of AI-assisted building converged on the same median product, leaving distribution as the only moat.

Hariprasad Sudharshan speaking about the median product problem
AI Engineer

Hariprasad Sudharshan told AI Engineer he spent two years shipping apps that all landed on the same median.

Two Years of Shipping Landed on Same Median - AI Engineer
Two Years of Shipping Landed on Same Median, AI Engineer

He framed the $125 trillion global economy as running on deterministic software built over 70 years.

Sudharshan said the "model and the hardness do not care who is typing and from which part of the world" so outputs converge.

He cited Google talent pools and GitHub repo counts but offered no benchmark showing his calculators underperformed.

He dismissed Elo gaps of 87 points between Anthropic at 1503 and Mistral at 1460 as boardroom noise, not product edge.

No patch, filing, or release date was given for the novelty-budget playbook he proposed.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.