Edition of Monday 2 November 2026

OmniDiff – Opensource, super fast, content aware Git difftool, in Rust

Comments on “OmniDiff – Opensource, super fast, content aware Git difftool, in Rust”

Claim-checked. Scored by all three judges, and its checkable claims were compared with the sources it cites. How far stories are checked

OmniDiff, an AGPL-licensed Rust diff tool by Marko Ivankovic, picks a diff method by content: tree-sitter structural diffs for 25 languages, plus pictures, fonts, archives and PDFs. It plugs into git, jj, VS Code and Neovim. The README reports a 4.2ms median over 2,302 fixtures and 442,322 of 442,530 code pairs completed. Its own accuracy goals are unmet: 60–70% of hand-painted cases match exactly. All figures are self-reported, from one laptop, and archives and PDFs are slower.

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. 22 of 43 with a score of 0.56. The panel rated it highest on new information (0.94) and substantiated (0.88), lowest on significance (0.44). The judges disagreed most on overclaim (spread 0.63), so the story is marked contested. Placed No. 22, No. 39 by score alone: the fourth Programming & dev tools story of the day (−0.020). The placement terms move stories; they are not part of the score.

AI judgeJudge 2claude-haiku-5-5
A Rust git difftool with broad format support, detailed benchmarks and integration docs. Useful to developers and substantiated by measurements, but a niche developer tool rather than a landmark.
AI judgeJudge 3gpt-5.6-luna
A highly detailed, reproducibly benchmarked launch of a capable developer tool, with practical installation and integration guidance. Its audience is broad among developers but significance is moderate because it is a new niche tool.

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

0.56total under rubric v2.3Contestedjudges differ by 0.63 on overclaim

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.44
  • Reader interest0.67
  • Audience breadth0.46
  • Practical relevance0.75
  • Substantiated0.88
  • Technical depth0.85
  • New information0.94
  • Counts against: Promotional0.17
  • Counts against: Overclaim0.42

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?0.550.300.480.440.25+0.24+0.106
Reader interestWould a well-informed senior engineer or tech founder want to read this today, and likely pass it on?0.670.550.780.670.23+0.26+0.173
Audience breadthHow many people who build technology does it concern?0.550.400.420.460.15+0.13+0.060
Practical relevanceHow useful is it to someone who builds software or tech products?0.890.650.720.750.24+0.22+0.166
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.0.980.720.930.880.26+0.05+0.044
Technical depthHow technically substantive is it?0.960.700.900.850.26+0.05+0.043
New informationDoes it contain information absent from the stories covered in the last 7 days (list provided)?0.920.900.990.940.09+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.0.090.350.080.170.27−0.19−0.033
OverclaimDo the headline or conclusions claim more than the body supports?0.750.400.120.420.63 , above the contested threshold−0.11−0.047
Sum of contributions+0.559
Claim-check penalty0.000
Total, as published0.559

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 #22 on Rubric, 2 Nov 2026
<a href="https://rubric.hrih.si/editions/2026-11-02/22/"><img src="https://rubric.hrih.si/badge/2026-11-02/22.svg" alt="Ranked #22 on Rubric, 2 Nov 2026" width="238" height="28"></a>

Claim check

Claim check: 8 no source given. Each claim is compared with the source the article itself cites; a flag is published only when both checkers agree.

  1. No source givenNumber

    OmniDiff can diff 99.95% of code changes: 442,322 of 442,530 readable before/after pairs in 25 languages completed successfully.

    The article gives no link or citation for it.

    The article says

    “442,322 (99.95%) completed successfully”

    The source says

    No source to compare with.

  2. No source givenNumber

    98.8% of the 2,018,010 file changes across 7,352 repositories are diffed as text or by their content.

    The article gives no link or citation for it.

    The article says

    “2,018,010 changes in 7,352 repositories, pictures, fonts and archives included - 98.8% are diffed as text or by their content”

    The source says

    No source to compare with.

  3. No source givenBenchmark result

    Over the 2,302 fixtures, OmniDiff measured p50 4.2ms, p90 35.1ms, p99 177ms and slowest 482ms on an Intel Core i7-1370P laptop.

    The article gives no link or citation for it.

    The article says

    “p50 4.2ms, p90 35.1ms, p99 177ms, slowest 482ms”

    The source says

    No source to compare with.

  4. No source givenGeneralization

    OmniDiff's goals of a median diff of 100ms or less and a 99th-percentile diff of 1000ms or less are both met.

    The article gives no link or citation for it.

    The article says

    “Both are met”

    The source says

    No source to compare with.

  5. No source givenNumber

    100ms is the 97.6th percentile of fixture times: 55 fixtures take longer than 100ms and none takes longer than a second.

    The article gives no link or citation for it.

    The article says

    “100ms is the 97.6th percentile — 55 fixtures take longer than that, and none takes longer than a second”

    The source says

    No source to compare with.

  6. No source givenBenchmark result

    With --full, 851 (60.0%) of 1,419 hand-painted fixtures have zero mismatched bytes and 1,241 (87.5%) have at most 1% mismatched; with --minimal the figures are 987 (69.6%) and 1,299 (91.5%).

    The article gives no link or citation for it.

    The article says

    “full 851 (60.0%) 1,241 (87.5%) 99,157 of 73.3M (0.14%”

    The source says

    No source to compare with.

  7. No source givenNumber

    The Intel Xeon E3-1275 v5 server that measured the research figures takes about 2.5 times as long per fixture as the laptop.

    The article gives no link or citation for it.

    The article says

    “the Intel Xeon E3-1275 v5 server that measured the research figures takes about 2.5 times as long per fixture”

    The source says

    No source to compare with.

  8. No source givenCausal conclusion

    Only 57% of PDF pairs take under 100ms, since a PDF draws every changed page, while archives miss the 99th-percentile goal.

    The article gives no link or citation for it.

    The article says

    “only 57% of them take under 100ms, since a PDF draws every changed page”

    The source says

    No source to compare with.

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 196 pts, front page

Discussion on Hacker News

Recorded for context only, checked 2 Nov 2026, 05:46 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 “OmniDiff – Opensource, super fast, content aware Git difftool, in Rust”

More on Rubric

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

  1. Score 0.79

    Zlib 1.4