Side-by-side · Rubric v1.0
Fetcher vs Wellfound
Side-by-side scores and evidence under the HireAIScore rubric v1.0. Click a vendor name to jump to the full profile and the cited evidence behind each score.
Export comparison (CSV)Pro→Vendor profile
Fetcher
AI-powered candidate sourcing and outbound recruiting platform that automates passive and active talent sourcing, personalized email outreach, and inbound applicant screening for corporate recruiting teams.
Vendor profile
Wellfound
Wellfound is a startup hiring marketplace and AI recruiting platform whose wellfound:ai suite auto-generates screening criteria from a job description, then scores and ranks inbound applicants (AI Resume Screening) and surfaces outbound candidates from a talent graph of 10M opt-in Wellfound profiles plus 500M+ enriched external profiles.
§ Category-by-category
Raw score per criterion, with weighted delta.
Δ is Fetcher minus Wellfound.
| Category | Weight | Fetcher | Wellfound | Δ |
|---|---|---|---|---|
| Article 11 Technical Documentation | 20% | 27 | 40 | -13 |
| Bias Audit Transparency | 18% | 28 | 82 | -54 |
| FRIA Support | 15% | 25 | 28 | -3 |
| Data Governance Disclosure | 15% | 55 | 45 | +10 |
| Human Oversight Design | 12% | 52 | 52 | — |
| Post-Market Monitoring | 12% | 35 | 60 | -25 |
| Customer Documentation | 8% | 55 | 58 | -3 |
| Total | 100% | 37 (F) | 52 (F) | -15 |
§ Evidence summary
Evidence count
Fetcher
19 rows across 7 categories
- absence
- 6
- public statement
- 3
- documentation
- 10
Evidence count
Wellfound
27 rows across 7 categories
- absence
- 9
- documentation
- 11
- audit report
- 4
- integration
- 1
- public statement
- 2