Proof of Usefulness Report

RecomendeMe

Analysis completed on 1/8/2026

+56
Proof of Usefulness Score
You're In Business

RecomendeMe addresses the timely issue of algorithmic fatigue with a human-centered discovery platform, leveraging a relevant tech stack (Neo4j + GPT). However, the project is in a very early stage with minimal verified footprint. While the claimed organic reach (5k-10k) is promising for a niche tool, the lack of broad search indexability and empty financial/active user metrics places it firmly in the 'Minimal Traction' calibration tier (0-100). The specific inclusion of trend reports and university context suggests legitimate local/regional utility despite the lack of global visibility.

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Score Breakdown

Real World Utility+18
Audience Reach Impact+3
Technical Innovation+9
Evidence Of Traction+8
Market Timing Relevance+9
Functional Completeness+3
Subtotal+52
Usefulness Multiplierx1.08
Final Score+56

Project Details

Project URL
recomendeme.com/pt
Description
RecomendeMe is a human-first recommendation platform where people actively share and discover movies, books, music, and culture beyond algorithmic feeds. It helps users find meaningful content through real human context, not engagement-driven algorithms.
Audience Reach
~5,000–10,000 monthly users (organic reach across platform and social sharing).
Target Users
RecomendeMe creates value for people tired of algorithm-driven recommendations and looking for discovery based on trust and human context. It is used by cultural platforms, universities, and cultural organizations that need meaningful discovery, long-tail visibility, and human-centered recommendation data instead of engagement-optimized feeds.
Technologies
Neo4j, Other, MYSQL, PHP, APACHE, GPT, R, AWS
Traction Evidence
Trend Report: https://www.trendhunter.com/trends/recomendeme People and Organizations: https://x.com/Gameplay_e_Vida/status/1996605167714578523, https://x.com/metropoledigi/status/1915485326023549436, https://www.threads.com/@danilolribeiro/post/DKfvzl6MTSj https://www.threads.com/@jnebeski/post/DS3DkXYj6-F?xmt=AQF0SR03T-aHWD4NRM8uQdeThoWJvD18a1RNNBcMCXPnsA

Algorithm Insights

Market Position
Growing utility with room for optimization
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