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Evidence Levels: What a Single JSON Can and Cannot Claim

Why this lesson exists Teams often shout "this runs 10 % faster" after a single csperf run. The claim is true only if the evidence is strong enough to survive noise, variance, and the temptation to…

  • JSON file from csperf may mislead without context
  • Evidence levels indicate statistical soundness and comparability
  • Check evidence level and understand underlying data before conclusions

Score Any Public Repository Reproducibly with harness-maturity-analysis

If you are evaluating how well a repository supports AI-assisted development, it is easy to mix two different jobs: measuring one repository quickly and adding a research observation to a maintained…

  • harness-maturity-analysis evaluates public repositories reproducibly
  • Ad hoc command inspects local paths or public repositories
  • Output includes maturity level, point total, dimension percentages

TrailRelay: Offline-First Trail Hazard Reporting with Gemma and Temporal

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass TrailRelay: Offline-First Trail Hazard Reporting with Local AI What I Built Imagine hiking in a remote area and…

  • TrailRelay enables offline reporting of trail hazards like fallen trees and flooding.
  • Gemma 3 1B model classifies hazard descriptions locally without hosted AI API.
  • Temporal orchestrates report-processing workflow with GitHub Issues for tracking.

Show HN launches now run on repos created days before posting. It used to be months.

Last month I published a dataset of 70,894 Show HN posts. The obvious follow-up was star trajectories: did hot launches keep growing? That study is now impossible for everyone.

  • Top Show HN launches now on repositories 17 days old on average.
  • Median time between repo creation and launch dropped from 322 days to 7 days.
  • AI applications increasingly prominent in top-decile posts.

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