---
schema: 1
type: video
title: I Spent Two Years Building the Median — Hariprasad Sudharshan
description: >-
  After two years of intense solo building, Hariprasad Sudharshan discovers that
  other people have independently produced calculators much like his own. Nobody
  needs to have copied anyone: the same models, tools and familiar problem can
  lead builders toward the same solution. He calls that shared starting point
  the median. Faster development makes it easier to ship useful software,
  including internal tools and learning projects, but a functioning demo does
  not establish a durable product advantage. His talk is a personal reflection
  on that distinction, rather than a controlled study of product success or a
  disclosed business outcome. Sudharshan separates the model's capability from
  its harness and the product a customer ultimately receives. He describes a
  build first reflex that replaces searching for existing solutions with
  immediately opening a coding agent. His alternative is a novelty budget: name
  the one distinctive thing before starting, include it in the roadmap and
  review it as deliberately as other project spending. For leaders evaluating
  demos, he proposes three questions. Who has already solved this? What does
  this team have that a competitor does not? Where will the application reach
  users? A later calculator iteration focuses on the difference between running
  open model weights inside an enterprise and purchasing inference, including
  utilization and the infrastructure between weights and generated tokens. The
  practical lesson is to use the readily available starting point where it
  helps, then spend judgment on a specific problem, distribution and a
  defensible difference. Speaker info: - https://github.com/brettleehari -
  https://www.linkedin.com/in/haripm4ai/ Timestamps: 00:00 - The deterministic
  software underneath everyday life 3:54 - Rented models change how software
  gets built 6:41 - Athletics and moving model leaderboards 10:28 - Model,
  harness and product 12:09 - The median and converging solutions 14:24 - Useful
  software and the limits of differentiation 18:03 - The build first reflex
  20:39 - A calculator and two years of solo building 23:51 - Define a novelty
  budget 26:19 - Four moves for a product roadmap 28:30 - Three questions for
  leaders evaluating demos 30:45 - Open weights, inference costs and the revised
  calculator 33:42 - Spend judgment on a distinctive problem
canonical: >-
  https://liquidgold.cc/channel/aidotengineer/explore/video/i-spent-two-years-building-the-median-hariprasad-su-2db44d434361
markdown: >-
  https://liquidgold.cc/channel/aidotengineer/video/i-spent-two-years-building-the-median-hariprasad-su-2db44d434361.md
llms: null
parent: 'https://liquidgold.cc/channel/aidotengineer.md'
channel: aidotengineer
updated: '2026-10-23T22:23:57.071Z'
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publishedAt: '2026-10-14T18:00:11.000Z'
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# I Spent Two Years Building the Median — Hariprasad Sudharshan

After two years of intense solo building, Hariprasad Sudharshan discovers that other people have independently produced calculators much like his own. Nobody needs to have copied anyone: the same models, tools and familiar problem can lead builders toward the same solution. He calls that shared starting point the median. Faster development makes it easier to ship useful software, including internal tools and learning projects, but a functioning demo does not establish a durable product advantage. His talk is a personal reflection on that distinction, rather than a controlled study of product success or a disclosed business outcome. Sudharshan separates the model's capability from its harness and the product a customer ultimately receives. He describes a build first reflex that replaces searching for existing solutions with immediately opening a coding agent. His alternative is a novelty budget: name the one distinctive thing before starting, include it in the roadmap and review it as deliberately as other project spending. For leaders evaluating demos, he proposes three questions. Who has already solved this? What does this team have that a competitor does not? Where will the application reach users? A later calculator iteration focuses on the difference between running open model weights inside an enterprise and purchasing inference, including utilization and the infrastructure between weights and generated tokens. The practical lesson is to use the readily available starting point where it helps, then spend judgment on a specific problem, distribution and a defensible difference. Speaker info: - https://github.com/brettleehari - https://www.linkedin.com/in/haripm4ai/ Timestamps: 00:00 - The deterministic software underneath everyday life 3:54 - Rented models change how software gets built 6:41 - Athletics and moving model leaderboards 10:28 - Model, harness and product 12:09 - The median and converging solutions 14:24 - Useful software and the limits of differentiation 18:03 - The build first reflex 20:39 - A calculator and two years of solo building 23:51 - Define a novelty budget 26:19 - Four moves for a product roadmap 28:30 - Three questions for leaders evaluating demos 30:45 - Open weights, inference costs and the revised calculator 33:42 - Spend judgment on a distinctive problem

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/i-spent-two-years-building-the-median-hariprasad-su-2db44d434361 · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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