Live website intelligence
Download Hinge, the dating app designed to be deleted | Hinge
Hinge is built on the belief that anyone looking for love should be able to find it. It’s also built on an acclaimed Nobel-Prize-winning algorithm, so we can succeed in getting you out on promising dates, not keeping you on the app.
Last refresh
Updated 1d ago
Analyst read
Professional
15/100 trustPersonal Relationships
Detected stack
Unknown
Quick read
How to read hinge.co quickly
hinge.co looks like personal relationships. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 15/100.
What to do next
- The stack appears to include Unknown.
- Open the Traffic tab if you need audience scale and geography before outreach.
- Open the Business tab if trust, monetization, or positioning is your first decision filter.
Provider Completeness
28/56 fields populated (50%)
Providers with missing fields
ads: 0/5publisher: 3/5files: 2/3traffic: 0/10whois: 0/6radar: 0/4
View field-level status
visual: 4/4
All expected fields present
meta: 3/3
All expected fields present
seo: 5/5
All expected fields present
dns: 4/4
All expected fields present
ads: 0/5
Missing: isAdvertiser, advertiserIds, advertiserNames, resultCount, transparencySignals
publisher: 3/5
Missing: directCount, resellerCount
files: 2/3
Missing: robotsSitemapUrls
traffic: 0/10
Missing: monthlyVisits, globalRank, countryRank, bounceRate, avgVisitDuration, pagesPerVisit, topCountry, topRegions, topKeywords, trafficSources
whois: 0/6
Missing: whois.registrar, whois.createdAt, whois.expiresAt, whois.nameservers, whois.status, domainAgeYears
radar: 0/4
Missing: globalRank, rankBucket, categories, sourceTimestamp
ai: 7/7
All expected fields present
Why this module matters
Business signals help answer “is this a real opportunity?”
Use the business tab to understand trust, monetization, audience fit, and brand posture before you spend time on outreach, partnerships, or competitive teardown work.
- Trust score and sentiment are your first risk screen.
- Business summary and audience notes speed up qualification.
- Ads and monetization patterns reveal how the site captures value.
Business Intelligence
Business Profile
Hinge is a mobile dating application positioned as the relationship-oriented alternative to hookup-focused apps. It uses a Nobel Prize-winning algorithm to match users for meaningful connections, with the marketing tagline 'designed to be deleted' emphasizing successful relationships over prolonged app usage.
Business ModelFreemium SaaS / Mobile App
Target AudienceMillennials and Gen Z singles (ages 25-35) seeking serious relationships rather than casual encounters; urban professionals; individuals disillusioned with swipe-based dating apps
Classification
CategoryPersonal Relationships
Sub-CategoryDating
dating apponline datingrelationshipsmobile appmatchmakingloveromancesocial networking
Trust & Risk
Trust Assessment
Trust Score15/100
SentimentProfessional
Spam DetectionClean
Publisher Monetization
ads.txtMissing
Monetization Signals
missing_ads_txt
AI Visual Analysis
Design StyleEditorial
VibeAuthentic, Warm, Trustworthy, Relationship-focused
UI Score8/100
IAB Taxonomy
IAB CategoryPersonal Relationships
IAB Sub-CategoryDating
Confidence98%
dating apponline datingrelationshipsmobile appmatchmakingloveromancesocial networking
Business Insights
Business Model
Freemium SaaS / Mobile App model detected
Trust Level
Low trust with 15/100 score
Audience
Millennials and Gen Z singles (ages 25-35) seeking serious relationships rather than casual encounters; urban professionals; individuals disillusioned with swipe-based dating apps
Keep exploring
Keep exploring from this report
Good pSEO pages should not strand the visitor. These links keep the journey moving through adjacent directories and comparable live reports.
Browse Personal Relationships sites
Move from this single report into the broader market cluster.
Browse Dating sites
Use the topic route when audience and editorial intent matter more than category.
Browse Unknown websites
Pivot from one domain into a stack-based discovery path.
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