Live site data
AlgoMonster: The Most Structured Way to Prepare for Coding Interviews
Master key coding interview patterns with AlgoMonster. Save time with AI-powered tools and an optimized curriculum to confidently land your dream job.
Last refresh
Updated 4d ago
Analyst read
Professional
10/100 trustTechnology & Computing
Detected stack
React
Quick read
How to read algo.monster quickly
algo.monster looks like technology & computing. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 10/100.
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
38/56 fields populated (68%)
1 health alerts11 providers
Providers with missing fields
publisher: 2/5files: 2/3traffic: 0/10radar: 0/4
Provider health alerts
traffic: TRAFFIC_NO_DATA
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: 5/5
All expected fields present
publisher: 2/5
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
AlgoMonster is an educational platform that helps software engineers prepare for technical coding interviews through structured pattern-based learning, featuring interactive flowcharts, AI-powered tools, and an optimized curriculum developed by ex-Googlers and competitive programmers.
Business ModelSaaS / EdTech Subscription
Target AudienceSoftware engineers, computer science students, and tech job seekers preparing for coding interviews at top tech companies (FAANG, startups, etc.)
Classification
CategoryTechnology & Computing
Sub-CategorySoftware
coding interviewsalgorithmsdata structuresinterview preparationtech careersprogramming educationsoftware engineeringleetcodecareer development
Trust & Risk
Trust Assessment
Trust Score10/100
SentimentProfessional
Spam DetectionClean
Google Ads Transparency
Is AdvertiserActive Advertiser
Advertiser Names
Uncaught Exception Inc.
Advertiser IDs
AR01563049718408282113
Ad Count1
has_advertiser_idhas_creative_results
Publisher Monetization
ads.txtFound
Monetization Signals
has_ads_txthas_ad_systems
AI Visual Analysis
Design StyleModern Minimalist
VibeTrustworthy, Professional, Innovative
UI Score8/100
Detected Logo TextAlgoMonster
IAB Taxonomy
IAB CategoryTechnology & Computing
IAB Sub-CategorySoftware
Confidence95%
coding interviewsalgorithmsdata structuresinterview preparationtech careersprogramming educationsoftware engineeringleetcodecareer development
Business Insights
Business Model
SaaS / EdTech Subscription model detected
Trust Level
Low trust with 10/100 score
Audience
Software engineers, computer science students, and tech job seekers preparing for coding interviews at top tech companies (FAANG, startups, etc.)
Keep exploring
Keep exploring from this report
Browse the related category, topic, or technology path, open alternatives, or move into comparison when you have a second domain.
Related category
Browse Technology & Computing sites
Move from this site data report into the broader market cluster.
Use category pages when market context matters more than one domain.
Related topic
Browse Software sites
Use the topic route when audience and editorial intent matter more than category.
Topic pages help you compare audience intent around the same domain.
Related technology
Browse React websites
Pivot from one domain into a stack-based discovery path.
Technology pages help you compare implementation patterns across similar sites.
Alternatives
Open algo.monster alternatives
Review similar domains ranked by category, audience, technology overlap, and match reasons.