HyperResponder parses your workout text so you can log faster.

You type the workout like a normal gym note. The app reads the text, detects the training data, and turns it into a structured workout that you can review before saving.

What HyperResponder Looks For

HyperResponder is designed to recognise:

• exercise names;

• sets;

• reps;

• weights;

• bodyweight movements;

• cardio duration;

• cardio distance;

• workout notes.

Example:

This can be structured into separate entries for bench press, barbell row, and treadmill work.

Exercise Names

Common exercise names usually work best.

Examples:

Short names and gym shorthand can work, but full exercise names are easier to parse.

If an exercise is custom, misspelled, or written in an unusual way, check the parsed result before saving.

Sets, Reps, and Weight

HyperResponder can read common lifting formats.

Examples:

The clearest format is:

You do not need to write perfectly, but the exercise and numbers should be easy to understand.

Multiple Sets With Different Weights

You can include different set ranges for the same exercise.

Example:

This tells HyperResponder that bench press included two sets at 95kg and one set at 100kg.

Review these carefully before saving, especially when one exercise has multiple weights or rep ranges.

Cardio Entries

HyperResponder can also read simple cardio entries.

Examples:

If you include time and distance, both can be saved where supported.

If you only include time, HyperResponder can still log the cardio entry using the duration.

Bodyweight Exercises

Bodyweight movements can be logged without adding a normal weight.

Examples:

For some bodyweight exercises, HyperResponder may use your current bodyweight as the logged resistance where supported.

For added weight, write the extra load clearly:

Notes and Comments

HyperResponder can keep notes with your workout, but notes are not the same as structured training data.

Example:

The structured workout data is:

The note is:

Comments, feelings, reminders, and context are useful, but they do not usually affect sets, reps, weights, XP, or analytics.

What HyperResponder Does Not Use for Structure

HyperResponder may ignore or store as notes:

• emojis;

• vague phrases like “good session”;

• comments in brackets;

• subjective feedback;

• unrelated text;

• unclear shorthand.

Example:

This is useful context, but it does not contain enough detail to build a structured workout.

Supersets

HyperResponder does not currently apply a special superset tag after parsing.

If you performed exercises as a superset, write them next to each other in the order you did them.

Example:

The app can structure them as separate exercises in the same workout. Keeping them grouped together makes the session easier to understand later.

Post-parsing set tags and superset tags are planned improvements.

Review Before Saving

After parsing, check the workout before saving.

Look for:

• correct exercise names;

• correct sets and reps;

• correct weights;

• correct cardio time and distance;

• notes stored in the right place;

• anything that should be removed.

If something is wrong, edit it before saving the session.

Best Practices

For cleaner parsing:

• write one exercise per line;

• keep weights and reps close to the exercise name;

• use clear exercise names;

• put notes in brackets if needed;

• avoid mixing several exercises into one messy sentence;

• check the parsed result before saving.

Good input:

Messy input:

Clear input gives HyperResponder better data and gives you a more accurate workout history.

Quick Answers

Do I need perfect formatting?
No. Clear gym-note formatting is enough.

Can HyperResponder parse different weights for one exercise?
Yes, but check the result before saving.

Can HyperResponder parse cardio?
Yes. Time and distance can be logged where included.

Do notes affect analytics?
Usually no. Notes are saved for context, not used as structured training data.

Does HyperResponder tag supersets?
Not currently. Log supersetted exercises next to each other for clarity.