Proof of Usefulness Report

Tagglabs

Analysis completed on 2/11/2026

+320
Proof of Usefulness Score
Certified Problem Solver

Tagglabs is a verifiable, established experiential marketing agency in India with a strong client roster (Amazon, Samsung, Honda) and over a decade of operation. However, the project submission itself is of very low quality, featuring vague audience claims ('everyone'), unprofessional details (Submitter: 'ShadowBlade'), and confusing revenue metrics. While the real-world entity performs at a high level comparable to the calibration reference (HackerNoon), the score is penalized by the lack of verifiable data provided directly in the submission and the poor response quality.

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Score Breakdown

Real World Utility+21.25
Audience Reach Impact+12.0
Technical Innovation+11.25
Evidence Of Traction+17.0
Market Timing Relevance+7.5
Functional Completeness+0.5
Subtotal69.5 (Base) -> Scaled to 347.5 (Calibration x5)
Usefulness Multiplierx0.92
Final Score+320

Project Details

Project URL
tagglabs.in
Description
Tagglabs has been leading technology-based experiences from past 8 years starting from a team of 2 to a small army of 50+ employees catering the industry with over 45+ products. We've successfully delivered 5000+ activations all over the country as well as internationally with our expertise in domains of RFID, Video production, VR, AR & IOT - strongly establishing a brand name in both physical & digital spaces.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline