# T-hub.co in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/t-hub.co
Canonical domain: t-hub.co
Source role: Other observed source
Release mri_score_v2.1+2026-10-28+f85cde1a8d05; methodology mri_score_v2.1; generated 2026-10-28; window 2026-05-10 to 2026-10-28; artifact 26f20b5230cc.

t-hub.co appeared as a cited source in 2 of 32,741 monitored answer runs (0.01%) from 2026-05-10 to 2026-10-28.

## Overall Evidence

- Citation rate: 0.01%
- Cited runs: 2 of 32,741
- Days cited: 2 of 165
- Engine breadth: 1 observed engines (perplexity)
- Confidence: Collecting
- Standing: collecting · 0.01% across 2/32,741 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Is it worth it](https://machinerelations.ai/index/categories/deep-tech-hardware/is_x_worth) | published | 2 | 209 | 11 | 0.96% | #158 of 311 |

## Citation History

t-hub.co was first cited in a monitored answer run on September 29, 2026, and most recently on October 6, 2026, with cited runs in 2 of the 2 months from then to this release. The release window opens 2026-05-10, so an earlier citation would not show here.

A month's rate is the share of all monitored answer runs that month that cited this domain. The latest month is still collecting.

| Month | Cited runs | Observed runs | Rate |
|---|---:|---:|---:|
| September 2026 | 1 | 4,971 | 0.02% |
| October 2026 (to 2026-10-28) | 1 | 14,754 | 0.01% |

## By Answer Engine

An engine's rate is its cited runs over every monitored run that engine answered in the window. Engines answer different numbers of runs, so compare rates, not counts.

| Engine | Cited runs | Engine's observed runs | Rate |
|---|---:|---:|---:|
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 2 | 7,645 | 0.03% |
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 7,531 | 0.00% |
| [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 7,565 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,843 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 1,948 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,209 | 0.00% |

## Peers

T-hub.co holds its best segment rank, #158 of 311, in Deep Tech & Hardware / Is it worth it, at 0.96%. 59 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/deep-tech-hardware/is_x_worth

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #103 of 311 | [Researchintelo.com](https://machinerelations.ai/index/domains/researchintelo.com) | Analyst and consulting research | 1.44% | +0.48 pts |
| #104 of 311 | [Richconn.com](https://machinerelations.ai/index/domains/richconn.com) | Other observed source | 1.44% | +0.48 pts |
| #105 of 311 | [Sensorso.com](https://machinerelations.ai/index/domains/sensorso.com) | Other observed source | 1.44% | +0.48 pts |
| #157 of 311 | [Spex1.com](https://machinerelations.ai/index/domains/spex1.com) | Other observed source | 0.96% | Same rate |
| #159 of 311 | [Tbsnews.net](https://machinerelations.ai/index/domains/tbsnews.net) | Editorial publication | 0.96% | Same rate |
| #276 of 311 | [Semiconductor Today](https://machinerelations.ai/index/domains/semiconductor-today.com) | Editorial publication | 0.48% | -0.48 pts |
| #277 of 311 | [Semiconductoronline.com](https://machinerelations.ai/index/domains/semiconductoronline.com) | Other observed source | 0.48% | -0.48 pts |
| #278 of 311 | [Semtech.com](https://machinerelations.ai/index/domains/semtech.com) | Other observed source | 0.48% | -0.48 pts |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. T-hub.co (t-hub.co), 0.01% citation rate, 2 of 32,741 monitored answer runs, 2026-05-10 to 2026-10-28. Release mri_score_v2.1+2026-10-28+f85cde1a8d05. https://machinerelations.ai/index/domains/t-hub.co. CC BY 4.0.

APA

Parrott, J. (2026). T-hub.co (t-hub.co) in the Machine Relations Index (Version mri_score_v2.1+2026-10-28+f85cde1a8d05) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/t-hub.co https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrithubco,
  author = {Parrott, Jaxon},
  title = {T-hub.co (t-hub.co) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-10-28+f85cde1a8d05},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/t-hub.co},
  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/t-hub.co/badge.svg

[![T-hub.co in the Machine Relations Index: 0.01% cited in monitored answer runs, 2 of 32,741 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/t-hub.co/badge.svg)](https://machinerelations.ai/index/domains/t-hub.co)

The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile, and the alt text says what the badge shows.

## 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)