Obed Pierre-Louis
Reveal it - Product Scanner
Snapshot
Publisher DNA
What defines Obed Pierre-Louis?
AI intelligence is not yet available for Obed Pierre-Louis. The portfolio data below is up to date.
Portfolio
What does Obed Pierre-Louis ship?
Apps
2 apps analysed
Analysis in progress
- Health-conscious users appreciate the focus on identifying potentially harmful ingredients in everyday consumer products
- Aggressive forced surveys and mandatory five-star ratings before app access frustrate new users immediately
Single-market publisher, every app ships only to United States.
Based on 1 of 2 apps with localized market data, more coverage rolling in as scans complete · last scanned .
Americas (1)
- United States1 / 1
Core markets (1/1 apps)
User Sentiment
How do users feel about their apps?
0
Positive apps
0
Neutral / mixed
1
Negative apps
15/100
Avg sentiment score
Rivals
Who does Obed Pierre-Louis compete with?
The rivals identified
Same space(19)
Adjacent cosmetic-focused scanner that uses similar AI-driven analysis to help users with sensitive skin.
Provides similar barcode and photo scanning technology to help users filter products by dietary needs.
Targets the same grocery-shopping demographic but uses a brand-backed, binary filtering system to simplify decision-making.
Offers a similar ingredient-decoding utility for both food and cosmetic products.
Targets the same ingredient-transparency audience but adds a longevity-focused metric to its analysis.
Provides a similar transparency-focused scanner for a wide range of household and food products.
Serves the same health-conscious audience but adds specific clinical utility for diabetes management.
Niche alternative for users with specific dietary restrictions who prioritize safety verification over general ingredient analysis.
Similar ingredient-transparency tool for grocery shoppers that categorizes food by processing level.
Targets the same health-conscious user base but shifts focus from ingredient transparency to automated caloric and macronutrient estimation via photo analysis.
Targets the same grocery-aisle decision-making process by providing an ingredient-based health grade.
Directly competes for the ingredient-transparency audience by focusing on additive and seed oil detection.
Shares the same goal of identifying hidden toxins and additives in packaged foods.
Addresses the same need for ingredient transparency and additive avoidance in a grocery-shopping context.
Targets the same health-conscious audience but differentiates by providing high-fidelity, lab-based contaminant data.
Focuses on the same ingredient-transparency goal by providing independent, science-backed product ratings.
Focuses on the same cosmetic and personal care transparency as the source app.
Targets the same health-conscious user base but shifts focus from ingredient transparency to automated caloric and macronutrient estimation via photo analysis.
Operates in the same food transparency space but uses a proprietary color-coded health score to simplify complex ingredient labels for mass-market shoppers.
New entrants(2)
Connects food ingredient analysis to specific skin and health goals.
Offers a similar ingredient-scanning utility for European food labels.
