Backlink Compare
Backlink Leaderboard · Head-to-Head Comparison
SaaSHub
#30 of 310 · LDS 7.4
VS
Wellfound (AngelList)
#19 of 310 · LDS 7.6

Comparing Link Dilution Score, AI visibility, Domain Rating and dofollow status. Scores are calculated using the FreeMalta LDS formula — not Domain Rating alone. How we calculate →

Score comparison

SaaSHub vs Wellfound (AngelList)

Link Dilution Score (LDS)
SaaSHub
7.4
Wellfound (AngelList)
7.6
AI Visibility Score
SaaSHub
4.4
Wellfound (AngelList)
5.8
Domain Rating (DR)
SaaSHub
79
Wellfound (AngelList)
85
Full breakdown

Every metric, side by side.

Metric
SaaSHub
Wellfound (AngelList)
LDS Score
7.4
7.6
AI Visibility
4.4
5.8
AI Stars
★
★★
Domain Rating
79
85
Link Type
Dofollow
Dofollow
Pricing
Free
Free
Category
Directory
Directory
Traffic
17K
5M
AI Cited
—
—
Verdict

What the scores actually mean.

Too close to call.
SaaSHub and Wellfound (AngelList) are within 0.5 LDS points of each other. Both are valid backlink sources — your choice should depend on which is easier to get listed on and which fits your content strategy.
Platform detail

What each platform actually is.

SaaSHub
Enterprise B2B Saas need SaaSHub's dofollow profile (DR79) as it surfaces brand nodes across Claude & Perplexity.
Rank#30 / 310
LDS7.4
AI Score4.4 ★
DR79
Link typeDofollow
PricingFree
Wellfound (AngelList)
Wellfound (formerly AngelList, dofollow DR85) is the leading startup and tech talent directory. A company profile with a website link passes real authority and signals startup credibility to investors and AI systems.
Rank#19 / 310
LDS7.6
AI Score5.8 ★★
DR85
Link typeDofollow
PricingFree
Also compare

Other Directory platforms.

SaaSHub profile Wellfound (AngelList) profile Full leaderboard Methodology
Scores are calculated using the FreeMalta Link Dilution Score (LDS) formula. Domain Rating data sourced from Ahrefs. AI citation status based on verified testing across ChatGPT, Perplexity, Claude and Google AI Overviews. Data updated periodically — always verify with current tools before making link building decisions.

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