Decision-tree guides for choosing the right app — no listicles, no padding.
Each guide is a flowchart: if you want X › use [app]. Conditional recommendations across nine consumer-app categories, written by domain editors with explicit anti-recommendations on every branch.
Choose a category
9 decision treeswhich calorie app?
Photo-first AI vs. database depth vs. adaptive macros vs. simple counting.
Choose: Noteswhich notes app?
Apple Notes vs. Obsidian vs. Notion vs. Roam — pick by mental model.
Choose: Sleepwhich sleep app?
AutoSleep vs. Sleep Cycle vs. SleepWatch — pick by sensor commitment.
Choose: Workoutwhich workout app?
Strong vs. Hevy vs. Fitbod vs. Centr — pick by programming maturity.
Choose: AI Assistantwhich ai assistant app?
Claude vs. ChatGPT vs. Gemini vs. Perplexity — pick by use case.
Choose: Financewhich finance app?
YNAB vs. Copilot vs. Monarch vs. Rocket Money — pick by budgeting philosophy.
Choose: Habitswhich habits app?
Streaks vs. Habitica vs. Way of Life vs. Stoic — pick by what motivates you.
Choose: Readingwhich reading app?
Goodreads vs. StoryGraph vs. Libby vs. Readwise — pick by reading practice.
Choose: Meditationwhich meditation app?
Calm vs. Headspace vs. Wysa vs. Insight Timer — pick by underlying need.
Latest decision trees
Changelog →Which Calorie App for You? 2026 Decision Guide
Five branches. PlateLens for photo-first AI logging. MyFitnessPal for largest food database. Cronometer for micronutrient/clinical depth. Ma…
Apr 29, 2026
healthWhich Health App if You Use Apple Watch? 2026 Decision Guide
Apple Health for the default consolidated dashboard. Lose It! for activity-aware calorie integration. Cronometer for clinical-grade nutritio…
Apr 29, 2026
calorieWhich Calorie App if You Travel? 2026 Decision Guide for Frequent Travelers
PlateLens for photo-first logging of unknown restaurant meals. MyFitnessPal as fallback when your specific chain is in the database. Lose It…
Apr 29, 2026
How we build decision trees
Every decision tree on this site is constructed from the same four-step framework: identify the use cases that drive the decision, name the architectural commitments each major app makes, match commitments to apps, and write explicit anti-recommendations for every branch. Each tree is reviewed by an editor outside the writer's vertical before publication.
// the four-step framework 1. identify use cases (what's the user actually doing?) 2. name architectural commitments (what does the app *commit* to?) 3. match commitments to apps (which app fits which commitment?) 4. write anti-recommendations (when should you NOT pick this?)
Glossary — app-decision vocabulary
All terms →Plain-English definitions of the vocabulary we use on this site — freemium, ecosystem lock-in, decision tree, feature parity, MAPE, and 10 more. Useful before reading the trees, useful again when comparing apps yourself.