Slytrunk
Trash Panda - Food Scanner
Publisher DNA
What defines Slytrunk?
AI intelligence is not yet available for Slytrunk. The portfolio data below is up to date.
Portfolio
What does Slytrunk ship?
Apps
1 app analysed
Scan food products, avoid processed ingredients, and eat healthier
OCR label analysis ensures utility for non-indexed products
- Ingredient scanning provides actionable health insights that help users make better grocery store choices
- Aggressive paywalls and subscription loops prevent users from accessing core scanning features after the trial
Tightly focused on 3 markets (Mexico, Spain, United States).
Based on 1 of 1 app with localized market data · last scanned .
Americas (2)
- Mexico1 / 1
- United States1 / 1
Europe (1)
- Spain1 / 1
Core markets (1/1 apps)
User Sentiment
How do users feel about their apps?
0
Positive apps
1
Neutral / mixed
0
Negative apps
45/100
Avg sentiment score
Rivals
Who does Slytrunk compete with?
The rivals identified
Nemeses(1)
Both apps target health-conscious shoppers by scanning barcodes to identify seed oils and additives, creating direct competition for the same grocery-store utility.
Contenders(10)
Both apps target health-conscious grocery shoppers by providing barcode-based ingredient analysis to identify additives, seed oils, and allergens. They compete directly for the same user base seeking transparency in food labeling.
Both applications target health-conscious grocery shoppers by providing barcode-based ingredient analysis to identify ultra-processed additives. They compete directly for the same user base seeking to avoid specific food ingredients during daily shopping trips.
Both apps target health-conscious grocery shoppers by scanning labels to identify ultra-processed ingredients and seed oils. They compete directly for users seeking to avoid specific additives through mobile barcode and ingredient analysis.
Both apps target health-conscious grocery shoppers by providing ingredient analysis and barcode scanning to identify ultra-processed items and additives.
Both apps target health-conscious grocery shoppers using barcode scanning to filter products based on dietary needs and ingredient transparency.
Both apps target health-conscious grocery shoppers by providing barcode scanning and ingredient analysis to simplify complex food labels.
Both apps target health-conscious grocery shoppers using barcode and label scanning to identify ingredients, directly competing for the same user intent at the point of purchase.
Both apps target health-conscious shoppers by scanning food labels for ingredient transparency, creating direct competition for users seeking to avoid ultra-processed items.
Both apps target health-conscious users seeking to identify ultra-processed foods through scanning technology, creating direct competition for the same grocery-shopping use case.
Both apps target health-conscious consumers and parents managing dietary restrictions through ingredient scanning, creating direct competition for users seeking to identify allergens and additives in grocery products.
Same space(20)
Take Or Not serves the same health-conscious demographic by providing ingredient-level transparency for allergens and sugar.
Bokha targets the same grocery-aisle user but specializes in allergen-specific detection using the Open Food Facts database.
PureLabel serves the same audience by using AI to provide granular safety ratings, including PFAS and additive flags.
Allergen Scanner serves the same grocery-aisle audience by offering personalized allergy alerts and smart grocery lists.
Labelee serves a similar health-conscious audience but focuses on specific isothiazolinone sensitivities for contact dermatitis.
SkinSense serves a similar health-conscious audience but focuses on ingredient conflicts within skincare routines rather than food.
Verdict serves the same allergy-conscious audience by integrating FDA recall data alongside ingredient verification.
Gutsy targets the same health-conscious demographic but differentiates through condition-specific scoring for chronic illnesses like IBD.
CleanStreak targets the same clean-eating audience by using a habit-tracking loop to support users in reducing ultra-processed food intake.
Yuqa serves the same grocery-scanning audience by turning complex product labels into simplified insights for lifestyle-based decision making.
Deficify targets the same grocery-aisle user by providing an educational tool for interpreting nutrition facts and ingredients.
Ivy targets the same processed-food-avoidance audience but attempts to build retention through longitudinal health tracking logs.
SnapSafe targets the same grocery-aisle audience by offering pantry management and recipe generation alongside label scanning.
ToxScan addresses the same transparency need by using OCR to bypass barcode dependency, though it shares the same monetization-friction issues.
SQAN targets the same health-conscious audience by flagging synthetic additives and microplastic risks in food.
Ingredient Checker targets the same health-conscious demographic by automating additive risk assessment through camera-based scanning.
Calorie Counter + serves the same health-conscious audience but focuses on macro-tracking and verified food databases rather than ingredient-level additive analysis.
Food Allergen Scanner targets the same grocery-aisle user by providing a second-check tool for hidden allergens.
Flipside serves the same audience by providing a 0-100 score that specifically highlights industrial processing and hidden sugars.
Yuka competes for the same health-conscious user base by using a proprietary color-coded scoring system to simplify complex ingredient labels.
New entrants(2)
RealFood targets the same grocery-aisle user by providing processing scores based on the 2025–2030 Dietary Guidelines.
FoodGauge serves the same audience by using AI to analyze food photos and ingredient lists without requiring barcodes.
