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Explore | alphaXiv
Discuss, discover, and read arXiv papers. Explore trending papers, see recent activity and discussions, and follow authors of arXiv papers on alphaXiv.
Last refresh
Updated 14d ago
Analyst read
Professional
Detected stack
Quick read
alphaxiv.org looks like technology & computing. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 5/100.
What to do next
34/56 fields populated (61%)
Providers with missing fields
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: 6/6
All expected fields present
radar: 0/4
Missing: globalRank, rankBucket, categories, sourceTimestamp
ai: 7/7
All expected fields present
Why this module matters
Use the business tab to understand trust, monetization, audience fit, and brand posture before you spend time on outreach, partnerships, or competitive teardown work.
alphaXiv is a platform that enhances the arXiv experience by enabling discussion, discovery, and social features around academic research papers, particularly in AI/ML and computer science. It provides trending paper feeds, author following, and community engagement tools for scientific literature.
Monetization Signals
Community Platform / Research Tool (likely freemium or ad-supported) model detected
Low trust with 5/100 score
Researchers, academics, graduate students, AI/ML practitioners, and tech professionals interested in staying current with scientific literature
Keep exploring
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