# SourceForge in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/sourceforge.net
Canonical domain: sourceforge.net
Source role: Editorial publication
Release mri_score_v2.0+2026-09-18+8fa38e54dd0a; methodology mri_score_v2.0; generated 2026-09-18; window 2026-05-10 to 2026-09-18; artifact 8fa38e54dd0a.

sourceforge.net appeared as a cited source in 51 of 15,782 monitored answer runs (0.32%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 0.32%
- Cited runs: 51 of 15,782
- Days cited: 27 of 125
- Engine breadth: 5 observed engines (chatgpt, claude, gemini, google_ai_mode, perplexity)
- Confidence: Confidence C
- Standing: #42 of 1222 classified editorial publications

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Confidence | Standing |
|---|---|---|---:|---:|---:|---:|---|---|
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Best tools](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | published | 1 | 136 | 7 | 0.74% | Unavailable | #253 of 275 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Top lists](https://machinerelations.ai/index/categories/ai-security-privacy/top_list) | published | 2 | 106 | 7 | 1.89% | Unavailable | #133 of 313 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Best tools](https://machinerelations.ai/index/categories/cybersecurity/best_x) | published | 2 | 75 | 7 | 2.67% | Unavailable | #83 of 213 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 4 | 623 | 54 | 0.64% | Unavailable | #299 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Top lists](https://machinerelations.ai/index/categories/cybersecurity/top_list) | published | 1 | 130 | 7 | 0.77% | Unavailable | #245 of 264 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Problem-first research](https://machinerelations.ai/index/categories/enterprise-software/problem_first) | published | 4 | 106 | 7 | 3.77% | Unavailable | #28 of 258 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Top lists](https://machinerelations.ai/index/categories/enterprise-software/top_list) | published | 6 | 114 | 7 | 5.26% | Unavailable | #42 of 264 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Best tools](https://machinerelations.ai/index/categories/fintech/best_x) | published | 3 | 108 | 7 | 2.78% | Unavailable | #76 of 224 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [How buyers choose](https://machinerelations.ai/index/categories/fintech/how_choose) | published | 1 | 102 | 7 | 0.98% | Unavailable | #159 of 170 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 6 | 616 | 53 | 0.97% | Unavailable | #213 of 1,531 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Top lists](https://machinerelations.ai/index/categories/fintech/top_list) | published | 1 | 102 | 7 | 0.98% | Unavailable | #187 of 200 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Best tools](https://machinerelations.ai/index/categories/healthcare-services/best_x) | collecting | 4 | 101 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [News-driven citations](https://machinerelations.ai/index/categories/healthcare-services/news_topic) | published | 1 | 613 | 53 | 0.16% | Unavailable | #1,131 of 1,264 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Top lists](https://machinerelations.ai/index/categories/healthcare-services/top_list) | collecting | 1 | 78 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [News-driven citations](https://machinerelations.ai/index/categories/hr-talent/news_topic) | published | 1 | 608 | 53 | 0.16% | Unavailable | #1,099 of 1,249 |
| [Legacy News Topics](https://machinerelations.ai/index/categories/legacy-unmapped) | [News-driven citations](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) | published | 11 | 2,138 | 54 | 0.51% | Unavailable | #318 of 4,025 |
| [Martech & Advertising](https://machinerelations.ai/index/categories/martech-advertising) | [News-driven citations](https://machinerelations.ai/index/categories/martech-advertising/news_topic) | published | 2 | 602 | 53 | 0.33% | Unavailable | #501 of 1,244 |

## Citation

SourceForge (sourceforge.net), 0.32% citation rate, 51 of 15,782 monitored answer runs, 2026-05-10 to 2026-09-18, mri_score_v2.0, mri_score_v2.0+2026-09-18+8fa38e54dd0a, https://machinerelations.ai/index/domains/sourceforge.net.

## 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)
- [AuthorityTech publication intelligence projection](https://authoritytech.io/publications.md) — Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.