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AppiOSFitness

Soullifter

A fitness app that opens to an answer, not a menu — personalized daily metrics, structured programs, an interactive body map, AI meal logging, and progress lenses for body, performance and activity.

Soullifter Home — personalized daily dashboard

Category

Native iOS app

Setup

TestFlight · real device builds

Stack

Swift · Health-aware

Mode

Training + nutrition in one

Screens

Nine screens. One coherent system.

Home through Progress — training, movement and food share the same design language.

01 · Home

Home

Your signal for today.

  • Personalized daily dashboard — greets by name, shows the date, sets the day’s intent
  • Five live metrics at a glance: steps, weekly distance, weight, calories, training volume
  • Trend deltas on every tile — you see direction, not just numbers
  • Featured programs carousel with difficulty badges and level tags
  • Notification bell + profile avatar — account and alerts without leaving home
  • Community feed section built into the home screen
  • Three-tab bottom nav (Home / Workouts / Programs) — the whole app is two taps deep

Most fitness apps open to a menu. This one opens to an answer.

Soullifter Home daily dashboard

02 · Workouts

Workouts

Consistency you can see.

  • Full training calendar with month navigation
  • Completed vs Planned markers — intention vs execution made visible
  • Recent workouts feed with thumbnail, session name, date
  • Session summary metrics: duration, total volume in kg, exercise count
  • AI Fitness Assistance commentary on your actual session
  • Encouragement tuned to behavior, not generic praise

The calendar shows the streak, the AI explains why it matters. That’s what keeps people logging past week three.

Soullifter Workouts calendar and session feed

03 · Programs

Programs

Structured training, not random workouts.

  • Dual browse modes: List and Map — search by program or by muscle
  • Featured program carousel with cover art and level badges
  • Category filters (All / Fundamentals / Hypertrophy)
  • Training Tracks — multi-week progressions grouped by level
  • Difficulty tagging across the library (Beginner → Advanced)
  • Newest sort for fresh content
  • Program descriptions with workout counts and structure preview

Tracks with a beginning and an end give users a reason to come back tomorrow. Loose workout libraries don’t.

Soullifter Programs library and training tracks

04 · Body Map

Body Map

Pick a zone. Find the work that fits.

  • Interactive anatomical muscle map — front and back views
  • Tappable muscle zones with labeled hotspots
  • Visual training-load indication — worked vs neglected zones
  • Multi-select filter chips built from your selections
  • Swipe-to-list for users who prefer text
  • Dark immersive mode — the visual differentiator in every demo

This is the screenshot that sells the app. Nobody else’s muscle picker looks like this.

Soullifter interactive Body Map

05 · Nutrition

Nutrition

Calories, macros, and daily targets.

  • Daily calorie goal with adjustable slider (1,200–4,500 kcal)
  • Custom macronutrient split — protein, carbs and fats by %, auto-converted to grams
  • Plain-language macro framing that teaches while it tracks
  • Live ring progress per macro with grams remaining
  • Calories-burned integration — training feeds back into the nutrition target
  • Date-navigable daily log — review or backfill any day
  • Quick-add floating button from anywhere on the screen

Training and nutrition share one number. Most apps make you run two subscriptions to get that.

Soullifter Nutrition macros and daily targets

06 · Meal Scan

Meal Scan

Photo, search, or barcode — meals in seconds.

  • AI photo recognition — snap the plate, get nutrition estimated
  • Serving size estimation, not just item identification
  • Health notes generated per meal
  • Choose from photo library for meals logged after the fact
  • Natural-language description input — type what you ate
  • Barcode scanning for packaged food
  • Text search fallback — four input methods so logging never fails

Food logging is where nutrition apps lose users. Four ways in means there’s no excuse to skip a meal.

Soullifter AI Meal Scan

07 · Progress · Body

Progress · Body

Weight trend and composition over time.

  • Started / Current / Progress comparison — total change, not just today
  • 30-day weight trend chart with month range selector
  • Body fat % tracking with visual progress bar
  • Muscle mass tracking — separates recomposition from weight loss
  • Extra tracking fields for additional measurements
  • Manual result entry for scale or caliper data
  • Segmented Body / Performance / Activity tabs

Weight alone lies. Showing fat and muscle side by side is what keeps users from quitting during a recomp.

Soullifter Progress Body metrics

08 · Progress · Performance

Progress · Performance

1RM, records, and exercise progress.

  • Estimated 1RM tracked per exercise from logged working sets
  • Big three record cards (bench, squat, deadlift) highlighted
  • New personal records feed with trophy cards
  • Full exercise search
  • Movement-pattern filters (Strength, Cardio, Push, Pull)
  • Exercise progress list with last session weight and % change
  • Sort by delta — surfaces what’s improving and what’s stalled

“Sort by delta” is the coach’s view. It tells you which lift to fix this week.

Soullifter Progress Performance and PRs

09 · Progress · Activity

Progress · Activity

Sessions, steps, runs, and macros together.

  • Monthly signal summary — sessions, steps, distance in one line
  • Daily calories chart, actual vs target, across the month
  • Steps card with % change
  • Run distance tracking
  • Monthly macro averages with balance bar
  • Consistency heatmap (less → more) — habit visualization
  • Month-over-month navigation

The only screen in the app where training, movement and food sit on the same page. That correlation is the product.

Soullifter Progress Activity hub

Capabilities

Why it stands out

Cross-cutting advantages built into the product from day one.

Native iOS, TestFlight

Real device builds — not a web wrapper. Shipped via TestFlight.

AI where it saves time

Meal recognition and session feedback — two places AI actually helps.

Coherent design system

Cream/sage palette, condensed display type, monospace data labels, consistent cards across nine screens.

Empty states that instruct

“Log runs to see distance” — never a blank hole. Day-one still looks finished.

Health-aware architecture

Steps and calories burned flow into nutrition targets automatically.

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