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zipy.ai

Zipy: AI Session Replays, Error Tracking & Analytics

Last refresh

Updated 61d ago

Analyst read

Professional

15/100 trustTechnology & ComputingStale snapshot

Detected stack

React

Quick read

How to read zipy.ai quickly

zipy.ai looks like technology & computing. 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 React.
  • 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

34/56 fields populated (61%)

11 providers

Providers with missing fields

ads: 0/5publisher: 3/5files: 2/3traffic: 0/10radar: 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: 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

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

Zipy is an AI-powered debugging and analytics platform that helps engineering and product teams identify, reproduce, and resolve user issues through session replays, error tracking, and UX analytics across web and mobile applications.

Business ModelSaaS
Target AudienceSoftware engineers, product managers, and frontend teams at technology companies seeking to improve user experience and reduce debugging time

Classification

CategoryTechnology & Computing
Sub-CategorySoftware
debuggingsession replayerror trackingUX analyticsAIdeveloper toolsSaaSfrontendproduct management

Trust & Risk

Trust Assessment

Trust Score15/100
SentimentProfessional
Spam DetectionClean

Publisher Monetization

ads.txtMissing

Monetization Signals

missing_ads_txt

AI Visual Analysis

Design StyleModern SaaS
VibeInnovative
UI Score8/100
Detected Logo Textzipy

IAB Taxonomy

IAB CategoryTechnology & Computing
IAB Sub-CategorySoftware
Confidence95%
debuggingsession replayerror trackingUX analyticsAIdeveloper toolsSaaSfrontendproduct management

Business Insights

Business Model

SaaS model detected

Trust Level

Low trust with 15/100 score

Audience

Software engineers, product managers, and frontend teams at technology companies seeking to improve user experience and reduce debugging time

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.

Need fresh data for another site? Trigger a fresh analysis or open the directory to continue browsing.