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AI Hype Filter

Cut through AI hype with objective technical analysis from a builder's perspective. Get real insights, not marketing fluff.

Built as a portfolio project to demonstrate technical analysis capabilities. Objective, reference-based analysis of AI products from someone who has actually shipped 6 AI applications.

15+

Analysis Dimensions

Google Result

Analyze Products →How It Works

Built with:

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What It Does

AI Hype Filter provides objective technical analysis of AI products from a builder's perspective. Rather than relying on marketing claims or media hype, it delivers comprehensive analysis based on actual technical feasibility, competitive positioning, and development complexity.

Built by Karina Vunnam, who has shipped 6 AI applications including URLPixel, Memoizely, and Orate. This isn't theory—it's analysis from someone who understands the reality of building and shipping AI products.

Key Analysis Features

Multiple Analysis Methods

• Product names ("Cursor", "Claude")
• Website URLs (any product site)
• News articles (auto-extracts products)
• Search queries ("AI code editor")

Technical Moat Analysis

• Strong: Years to replicate proprietary tech
• Moderate: 3-6 months with small team
• Weak: Days/weeks with existing tools

Build Complexity Rating

• Weekend Project: 1-7 days
• Startup Feasible: 1-6 months
• Research Required: 1-3 years
• Impossible: Beyond current tech

Hype vs Reality Scale

• 1-3: High hype, low substance
• 4-6: Balanced promise and reality
• 7-10: Substance over hype

Analysis Process

Step 1: Multi-Source Research

Comprehensive data gathering with intelligent content analysis:

• Website content with anti-scraping protection handling
• GitHub repository analysis (stars, activity, team size)
• Pricing extraction with 3-strategy approach
• API documentation discovery and analysis
• Red flag detection for inconsistencies

Step 2: Builder's Analysis

15+ specialized assessment dimensions:

• Technical moat with 5 defensibility factors
• Multi-dimensional competitive strategy
• Business model viability and unit economics
• User acquisition reality
• Maintenance burden and scaling challenges
• Compliance requirements (GDPR, AI ethics)

Step 3: Comprehensive Scoring

Multi-dimensional scoring with confidence levels:

• Composite scores across 4 dimensions
• Success prediction for short/medium term
• Trend analysis (buzzword detection, funding momentum)
• Confidence scoring (0.0-1.0) based on data quality
• Red flag identification with severity assessment

Step 4: Actionable Guidance

Practical implementation roadmap:

• Realistic competition assessment with reasoning
• Resource requirements: team, timeline, costs
• Critical risk identification and mitigation
• Alternative opportunities and underserved segments
• Honest bottom-line considering market reality

Why Trust This Analysis?

This isn't analysis from journalists or VCs. It's from Karina Vunnam, a builder who actually ships AI products and understands the technical reality behind marketing claims.

AI Apps Shipped

Memoizely, URLPixel, Orate, Tabsverse, Mail Collectly, and more

95%

Cost Reduction

With novel memory optimization in Memoizely

Screenshot Speed

In URLPixel vs industry standard 5-10 seconds

Who This Is For

Developers & Founders

Drowning in AI hype? Get honest "can I build this?" perspective before investing time and resources.

VCs & Investors

Want honest technical assessment? Get builder perspective on technical moats and competitive reality.

Tech Journalists

Need reality checks on AI announcements? Get objective analysis to cut through marketing claims.

Ready to Cut Through the Hype?

Stop wasting time on overhyped AI products. Get objective analysis from someone who actually builds this stuff.

Start Your First Analysis →