--- title: "hrstack.io in the Machine Relations Index" description: "Canonical domain: hrstack.io" canonical: "https://machinerelations.ai/index/domains/hrstack.io" --- # hrstack.io in the Machine Relations Index Canonical URL: https://machinerelations.ai/index/domains/hrstack.io Canonical domain: hrstack.io Source role: Other observed source Release mri_score_v2.1+2026-11-07+296ae2caa083; methodology mri_score_v2.1; generated 2026-11-07; window 2026-05-10 to 2026-11-07; artifact 51fa53f555d2. hrstack.io appeared as a cited source in 1 of 37,140 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-07. ## Overall Evidence - Citation rate: under 0.01% - Cited runs: 1 of 37,140 - Days cited: 1 of 175 - Engine breadth: 1 observed engine (claude) - Confidence: Collecting - Standing: Collecting: no rank until it clears the evidence floor ## Observed Segments | Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing | |---|---|---|---:|---:|---:|---:|---| | [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [How buyers choose](https://machinerelations.ai/index/categories/hr-talent/how_choose) | published | 1 | 226 | 12 | 0.44% | #278 of 368 | ## Citation Record hrstack.io has been cited in one monitored answer run, on October 11, 2026, by Claude, in answers to HR & Talent / How buyers choose questions. Other sources cited for HR & Talent questions: https://machinerelations.ai/index/categories/hr-talent ## Peers hrstack.io holds its best segment rank, #278 of 368, in HR & Talent / How buyers choose, at 0.44%. 156 sources on that leaderboard share that rate, and their order inside the tie is not a measured difference. Listed here: the nearest sources cited more and less often than it, and the sources beside it that share this best segment. Leaderboard: https://machinerelations.ai/index/categories/hr-talent/how_choose | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #171 of 368 | [hyring.com](https://machinerelations.ai/index/domains/hyring.com) | Other observed source | 0.88% | +0.44 pts | | #172 of 368 | [imocha.io](https://machinerelations.ai/index/domains/imocha.io) | Other observed source | 0.88% | +0.44 pts | | #173 of 368 | [instalent.io](https://machinerelations.ai/index/domains/instalent.io) | Vendor-owned source | 0.88% | +0.44 pts | | #174 of 368 | [joboro.ai](https://machinerelations.ai/index/domains/joboro.ai) | Other observed source | 0.88% | +0.44 pts | | #175 of 368 | [jobylon.com](https://machinerelations.ai/index/domains/jobylon.com) | Other observed source | 0.88% | +0.44 pts | | #176 of 368 | [jwalix.com](https://machinerelations.ai/index/domains/jwalix.com) | Other observed source | 0.88% | +0.44 pts | | #276 of 368 | [hraitoolskit.com](https://machinerelations.ai/index/domains/hraitoolskit.com) | Other observed source | 0.44% | Same rate | | #280 of 368 | [i10x.ai](https://machinerelations.ai/index/domains/i10x.ai) | Other observed source | 0.44% | Same rate | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. hrstack.io, under 0.01% citation rate, 1 of 37,140 monitored answer runs, 2026-05-10 to 2026-11-07. Release mri_score_v2.1+2026-11-07+296ae2caa083. https://machinerelations.ai/index/domains/hrstack.io. CC BY 4.0. APA Parrott, J. (2026). hrstack.io in the Machine Relations Index (Version mri_score_v2.1+2026-11-07+296ae2caa083) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/hrstack.io https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mrihrstackio, author = {Parrott, Jaxon}, title = {hrstack.io in the Machine Relations Index}, year = {2026}, version = {mri\_score\_v2.1+2026-11-07+296ae2caa083}, publisher = {Machine Relations Research}, url = {https://machinerelations.ai/index/domains/hrstack.io}, doi = {10.5281/zenodo.23652423}, license = {CC-BY-4.0}, note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai} } ``` DOI: https://doi.org/10.5281/zenodo.23652423 Citation file: https://machinerelations.ai/CITATION.cff ## Badge Badge image: https://machinerelations.ai/index/domains/hrstack.io/badge.svg [![hrstack.io in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 37,140 runs), Nov 7, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/hrstack.io/badge.svg)](https://machinerelations.ai/index/domains/hrstack.io) Put this badge on your site to show how often AI answers cite it. It links to this profile and updates with every new release; if a later release no longer includes this domain, the badge stops loading. To keep today's numbers fixed, save the SVG and host it yourself. ## Use the data The public JSON is https://machinerelations.ai/data/machine-relations-index.json. The release manifest is https://machinerelations.ai/data/mri-release-manifest.json. The domain CSV is https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv. The Zenodo concept DOI is https://doi.org/10.5281/zenodo.23652423. ```bash curl -fsSL "https://machinerelations.ai/data/machine-relations-index.json" -o machine-relations-index.json curl -fsSL "https://machinerelations.ai/data/mri-release-manifest.json" -o mri-release-manifest.json curl -fsSL "https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv" -o domains.csv curl -fsSL -L "https://doi.org/10.5281/zenodo.23652423" -o mri-zenodo.html ``` ```python import json from urllib.request import urlopen index_url = "https://machinerelations.ai/data/machine-relations-index.json" with urlopen(index_url) as response: index = json.load(response) print(index["generated"], index["total_domains"]) ``` ## Public Boundary The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade. ## Related Sources - [Machine Relations Index](https://machinerelations.ai/index) - [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json) - [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)