Edition of Thursday 29 October 2026

OpenTaxRate – open-source US sales tax rates by street address

Comments on “OpenTaxRate – open-source US sales tax rates by street address”

3 judges. Scored by all three judges. Only the day’s top stories get the claim check. How far stories are checked

OpenTaxRate is an MIT-licensed open-source tool that returns the general US sales tax rate for a street address and date, built from state address ranges, tax-area boundaries, and dated rates published by tax agencies.

Read the original at github.com. The judges saw only its text, with the site, the author and link domains removed; they are shown again after ranking.

Why it ranked

No. 28 of 110 with a score of 0.58. The panel rated it highest on new information (0.94) and substantiated (0.83), lowest on audience breadth (0.44). Placed No. 28, No. 79 by score alone: the placement terms moved other stories past it.

AI judgeJudge 2claude-haiku-5-5
Open-source MIT tool for address-level US sales tax rates; useful to fintech/commerce builders, self-hostable, with benchmark results. Narrow audience, mostly a project release with a sales-y hosted pricing mention.
AI judgeJudge 3gpt-5.6-luna
A technically detailed, open-source address-level tax-rate service with reproducible setup, explicit uncertainty handling, source provenance, benchmarks, and API documentation. Highly actionable for fintech and data builders, though specialized and partly promotional.

Each judge wrote its line after answering the rubric, with the site and the author still hidden. Every answer behind this is in the table under Score.

Score

0.58total under rubric v2.3

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.47
  • Reader interest0.63
  • Audience breadth0.44
  • Practical relevance0.78
  • Substantiated0.83
  • Technical depth0.72
  • New information0.94
  • Counts against: Promotional0.21
  • Counts against: Overclaim0.13

Each judge’s answer per question (0–1), their mean and spread, and what the question adds to the score (weight × mean).

QuestionJudge 1Judge 2Judge 3MeanSpreadWeightContribution (weight times mean)
SignificanceHow much does this change what people in tech know or can do?0.490.350.580.470.23+0.24+0.114
Reader interestWould a well-informed senior engineer or tech founder want to read this today, and likely pass it on?0.570.550.780.630.23+0.26+0.165
Audience breadthHow many people who build technology does it concern?0.510.400.420.440.11+0.13+0.057
Practical relevanceHow useful is it to someone who builds software or tech products?0.860.700.780.780.17+0.22+0.172
SubstantiatedHow well is it backed? Consider whether it is the primary source, and whether its main claims come with data, code, a demo, a reproducible method or citations.0.970.700.820.830.27+0.05+0.041
Technical depthHow technically substantive is it?0.840.600.720.720.24+0.05+0.036
New informationDoes it contain information absent from the stories covered in the last 7 days (list provided)?0.910.950.960.940.05+0.05+0.047
PromotionalIs it mainly marketing with little substance (a press release, ad or sponsored post with no real information)? A launch post that carries real news is not promotional.0.100.350.180.210.25−0.19−0.040
OverclaimDo the headline or conclusions claim more than the body supports?0.120.200.080.130.12−0.11−0.015
Sum of contributions+0.578
Claim-check penalty0.000
Total, as published0.578

Spread is the highest minus the lowest judge answer. marks a spread above 0.40: the judges disagree, and the story is marked contested.

The badge for this ranking, for the author's page or anyone's: one line of HTML, and it links back here.

Ranked #28 on Rubric, 29 Oct 2026
<a href="https://rubric.hrih.si/editions/2026-10-29/28/"><img src="https://rubric.hrih.si/badge/2026-10-29/28.svg" alt="Ranked #28 on Rubric, 29 Oct 2026" width="245" height="28"></a>

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 4 pts, not on front page

Discussion on Hacker News

Recorded for context only, checked 29 Oct 2026, 05:47 UTC. It played no part in the ranking.

Panel for this edition

Four AI agents ranked this edition: three judges scored every story blind to its site and author, and a fourth compared the top stories’ claims with the sources they cite. Summaries are written by AI.

Model versions are pinned for every edition. How ranking works describes rubric v2.3.

Comments

Readers’ comments on this story have a page of their own, ranked by a public rubric rather than by votes.

Comments on “OpenTaxRate – open-source US sales tax rates by street address”

More on Rubric

From the last 7 editions, chosen by shared topic, score and date.

  1. Score 0.79

    Zlib 1.4