Residual: AI Macro Planner
By Clark Sell
Residual: AI Macro Planner is a nutrition tracking app for iOS that uses deterministic algorithms to adjust meal plans based on daily intake deviations.
The App DNA
What makes this app unique?
The app removes the cognitive load of manual macro recalculation when users go off-plan, replacing the need for constant, tedious adjustments with an automated solver.
For Individuals tracking nutrition who want to automate meal planning and adjust for daily intake fluctuations without manual recalculation.
What does it look like?
Key features
Deterministic algorithm that re-sizes remaining daily meals to maintain macro targets when actual consumption deviates from the plan.
Generates meal plans using Claude or on-device Apple Intelligence based on pantry inventory and user preferences.
Allows users to set individual plus-or-minus ranges for calories, protein, carbs, and fat rather than fixed values.
How much does it cost?
Subscription-only model with a 14-day free trial, positioning the app as a tool for serious users who pay for utility rather than ad-supported content.
Velocity
Maintenance developmentmonetizationUX improvementsShow more...
With only one release in the observed window, the app is currently in a maintenance phase. The latest update focuses on critical monetization and UX fixes, specifically addressing a bug that prevented users from accessing subscription features. Development appears to be in an early stabilization stage following the initial launch. Future momentum remains to be seen as the developer addresses these foundational issues.
Who built it?
User Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for Residual: AI Macro Planner
How's the Health & Fitness market?
Residual: AI Macro Planner enters the Health & Fitness category as a new entrant with a subscription-only model. The lack of a free tier places it in direct competition with established trackers that rely on large, ad-supported food databases.
Read the market outlookThe rivals identified
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Access the full report for freeThe Analyst's Read
Key takeaways for Residual: AI Macro Planner
Where is it heading?
The nutrition tracking market is currently consolidating around apps that offer massive food databases and social features. Residual: AI Macro Planner's success depends on its ability to prove that its deterministic solver provides more long-term value than the convenience of a free, ad-supported database.
- The latest release introduces a 14-day free trial, which provides a necessary bridge for users to test the solver's utility before committing.
- The app maintains a maintenance-mode release cadence, focusing on bug fixes and subscription access rather than rapid feature expansion.
The SWOT
- Deterministic solver mechanism dynamically re-sizes remaining meals to maintain macro targets.
- Privacy-first architecture stores data locally or in personal iCloud.
- Pantry-based planning logic ensures users consume existing food inventory.
- Integration with wearable health data could automate activity-level adjustments.
- Expansion into specialized diet templates could capture new segments.
Next best moves
Pivot the onboarding flow to highlight the solver because it is the primary differentiator against static trackers → increase trial-to-paid conversion.
+ 1 more prioritized moveThe counter-intuitive read
The subscription-only model is an advantage, not a weakness…
Read the full takeBottom line
Residual: AI Macro Planner offers a unique deterministic solution for macro management, but the subscription-only entry point risks high churn before users experience the solver's utility. Focusing onboarding on the solver's immediate value will be critical to proving the app's worth against free, database-heavy incumbents.
Unlock 2 critical frictions, 2 market threats, 1 more prioritized move and the analyst’s take.
Access the full report for freeSources
- [1] App Store listing
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