Build your Workout Tracker with AI in under 5 minutes

Build a Strong / Hevy-style strength-training tracker with set-by-set weight × reps logging, per-exercise PR tracking via Brzycki estimated 1RM, an inline sparkline chart of progress over time, lb / kg unit toggle, and a 'headline PR' hero — generated from a single prompt.

Cara kerjanya

Langkah 1

Deskripsikan ide Anda

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Langkah 2

AI membangunnya

FloopFloop menghasilkan kode siap produksi secara instan.

Langkah 3

Deploy & aktifkan

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What is a workout & strength tracker?

Strength training rewards specificity in the log: weight × reps × sets, with rest periods and notes per lift. The dominant tools (Strong, Hevy, FitNotes) optimise for the gym-floor experience — large buttons for one-thumb logging, plate-math helpers, programme templates that survive a sweaty phone. The Strong app's free tier is generous; Hevy's free tier is fine; both push paid features (workout history caps, AI coaching, analytics) on users who want more depth. The reason to build your own: programme structure is opinionated, and the off-the-shelf opinions don't fit specialised training. 5/3/1, Starting Strength, Westside Conjugate, Smolov, GZCLP — each has rules about progression, deloads, and assistance work that off-the-shelf trackers half-support.

Common features

Per-lift history with weight × reps × sets logged
Programme builder — define routine, target sets and reps
Plate-math helper — show the bar setup for a target weight
Rest timer between sets with audible cue
1RM tracking via Brzycki or Epley formula
Inline sparkline showing recent progression per lift
Personal-best detection and notification
kg / lb toggle without losing history
Programme-aware progression rules (e.g. 5/3/1 cycle math)
CSV export for spreadsheet analysis

Real-world examples

Powerlifter's tracker

Squat / bench / deadlift PRs, per-cycle programming with Brzycki 1RM tracking. Bar weight + plate setup auto-rendered for each set.

5/3/1 programmer

Wendler 5/3/1 with cycle math built in. Auto-rounded to plates available, training max progression handled by the tracker.

Bodybuilding hypertrophy log

Per-exercise volume tracking, weekly tonnage by muscle group, fatigue cues. Designed for long-form hypertrophy training rather than 1RM-led work.

Why FloopFloop fits workout & strength tracker projects

Strength tracking is a tiny database and a sweat-resistant UI. Strong and Hevy do the basics well and charge for the rest. The cohort that outgrows the basics — programme-specific lifters, coaches managing multiple athletes, people who want their data fully exportable — gets nothing extra from the paid tier that matches what they actually need. FloopFloop lets you ship a tracker that encodes your programme's rules (5/3/1 cycle math, conjugate-method week structure, custom progression rules) and gives you the exact analytics view that matches your training philosophy.

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Salin prompt apa pun di bawah ini dan tempelkan ke FloopFloop untuk memulai.

Build a Strong-style strength-training tracker. Per-set logging with weight × reps as the atomic unit. Exercise library seeded with Bench Press / Back Squat / Deadlift / Overhead Press / Barbell Row / Pull-Up / Bicep Curl / Plank covering all major muscle groups, plus an Add-Exercise form for accessories. Active-session form lets the operator stack pending sets locally then Save All — so a mid-workout phone-lock doesn't lose a half-typed set. PR card per exercise with a 12-point sparkline of estimated 1RM (Brzycki formula) over time, sorted by est-1RM descending so the operator's biggest lifts surface first. Hero strip shows headline PR (highest est-1RM across all exercises), current streak in days (1-day grace), and total workouts. lb / kg unit toggle in the navbar — units are global so the operator can't log a 100 kg bench as 100 lb because they forgot which mode the form was in.

Create a powerlifting cycle tracker — same model focused on the Big 3 (squat / bench / deadlift) plus their supplemental lifts. Add a cycle field per workout (Hypertrophy / Strength / Peak) with a sidebar showing the current cycle phase and the planned lift maxes for the week. PR strip filtered to just the Big 3 with comparison against the operator's competition meet maxes (separate target field).

Design a fitness-coach client tracker — same model but every workout has an athlete name. The PR strip becomes per-athlete (filter chips above the grid). Coach hero shows aggregate: '4 athletes hit a PR this week' instead of a single headline PR. Useful for a personal trainer with 5–10 clients who want a shared FloopFloop instance instead of separate spreadsheets.

Build a CrossFit WOD log — same model plus a WOD-type field per session (AMRAP / EMOM / For Time / Strength). For-Time WODs replace the weight column with a duration ('Fran: 3:42') and rank against personal bests. AMRAP / EMOM track rounds + reps. The PR strip shows time PRs alongside weight PRs.

Pertanyaan yang sering diajukan

How does this compare to Strong / Hevy / Boostcamp / FitNotes?

Strong is the dominant iOS strength tracker (paywalled at $30/yr); Hevy is the cross-platform competitor with social features; Boostcamp is the program-following app (templated cycles); FitNotes is the Android-only free option. All four keep your log inside their cloud. The FloopFloop-generated version has no subscription, no log cap, and lives on YOUR subdomain. The PR-sparkline strip is the core of the Strong / Hevy progression UX, surfaced first-class out of the box. Refine the exercise library, cycle structure, or PR formula — the closed apps can't be changed.

How is the PR ranked?

Brzycki estimated 1RM: weight × 36 / (37 − reps), capped at 10 reps. This lets a heavy 3-rep set 'beat' a light 8-rep set when ranking PRs, which matches how serious lifters care about strength (vs volume). Reps over 10 are clamped to 10 because the formula loses accuracy beyond that — a 20-rep set isn't really a strength PR, it's a conditioning PR. Refine with 'rank PRs by Epley formula instead' or 'rank by raw weight only ignoring reps' to swap algorithms.

How does the streak counter work?

Counts consecutive distinct workout dates back from today, with a 1-day grace allowance so a missed rest day doesn't break the streak. Same convention as habit-tracker-app. The streak is conservative — only one missed day is forgiven, two in a row resets to zero. Refine with 'allow 2-day grace' if you want a more forgiving variant for periodisation cycles.

Where is my workout data stored?

The default template uses browser localStorage so the tracker works instantly with no signup. Exercises, sets, and the unit preference live on whatever device you're typing on and don't sync across devices. Refine with 'add a Postgres backend so my workouts sync across devices via a login' to move to server storage. The codegen scanner blocks every external database (Supabase / Firebase / MongoDB) so the data stays on your own per-tenant Postgres schema.

Why is the lb / kg toggle global instead of per-set?

Two reasons: (1) Mixing units within one exercise's history makes the PR sparkline meaningless (180 kg ≈ 397 lb — the line would zigzag wildly between data points logged in different units). (2) A per-set toggle introduces an entire class of operator errors — logging 100 kg as 100 lb because the form was in lb mode when they meant kg — that the data layer can't auto-correct after the fact. Global toggle means the operator picks a system once at signup and the entire app stays consistent. Refine with 'auto-convert all logged weights when the unit toggles' if you really want a converting toggle.

Can I import my Strong / Hevy / FitNotes history?

Not in the default — manual entry is the simpler MVP. Refine with 'add a CSV import that accepts a Strong export (columns: Date, Exercise Name, Set Order, Weight, Reps) and creates one WorkoutLog per row, grouping consecutive same-exercise rows into a single session'. Strong / Hevy / FitNotes all support CSV export from account settings. The codegen wires the file upload + the column mapping + the import button in one round.

What about supersets / drop sets / rest-pause?

The default model treats each entry as a flat list of {weight, reps} sets — the simplest shape that supports the PR sparkline. Refine with 'add a setType field per set (normal / dropset / rest-pause) and a supersetGroup field that pairs sets across two exercises into a single block' for finer-grained logging. The PR algorithm still picks the heaviest set regardless of type, so the rest-pause variant won't artificially inflate PRs.

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