H
Hone
Concept brief

A deliberate practice app for honing grappling skills.

Hone helps serious grapplers and ambitious hobbyists choose specific skills, train them with intention, and track the evidence that a technique is moving from interesting idea to live, reliable execution.

Top-level idea

The product is built around a skill pipeline.

The app should not try to track all training. It should help grapplers choose specific skills, practice them deliberately, and see which ones are progressing from saved ideas to live execution.

1

Capture the skill

Save the technique, position, transition, finish, escape, or tactical pattern the grappler may want to work on.

2

Train it intentionally

Record the training format: study, dialogue drilling, constraint games, or rolling.

3

Log evidence

Track time, successful executions, partner hit counts, footage, and insights so progress is visible.

Proposed stages

Skills move from saved idea to proof under pressure.

Each stage describes where the skill is in the user's acquisition process, from a captured idea to a technique that works repeatedly against meaningful resistance.

Saved

I captured this skill because I may want to work on it later.

Video, note, source, reason

Learning

I am actively developing the basic mechanics and procedural understanding needed to perform it.

Study time, drilling time, cues

Live

I can create or recognize the conditions for the skill and execute it against resistance.

Game time, rolling hits, partner hit counts

Proven

I can hit it repeatedly on strong partners, including people who know my game or are hard to catch.

Best-partner proof, confidence
Information architecture

The app has four core objects.

Skill

A specific thing the user wants to acquire.

StageResourcesNotesTargets

Session

A class, open mat, private, or competition training day.

DateJournalFocus review

Training Block

A chunk of work inside a session tied to one skill.

TypeDurationExecutionsInsights

Partner

A person the user has successfully executed a skill against.

Hit listSkill countsLast hit
Skill capture

Skills can start from a reference, an idea, or a training goal.

Creating a skill should be fast: name the thing the user wants to work on, attach anything useful, and drop it into the pipeline.

Blank Skill

Create a skill manually from an idea, coach suggestion, or training goal.

YouTube

Save a video as a reference and attach notes, cues, or timestamps.

Instagram

Capture a reel or post before it disappears into saved-content clutter.

Reference Video

Attach any video that helps the user understand what good execution looks like.

Quick Note

Save a thought after training and turn it into a skill later.

Logging model

The app tracks four types of training.

For each skill, users can log study, dialogue drilling, constraint games, and rolling. Each training type uses its own metrics: time, successful executions, partner hits, footage, and insights where they apply.

Study

Watching, reading, reviewing footage, or thinking through the skill away from live practice.

  • Track time
  • Save resources
  • Capture insights

Dialogue Drilling

Cooperative exploration and mechanical refinement.

  • Track time
  • Capture cues
  • Capture insights

Constraint Games

Live situational work / task-based rounds / CLA games.

  • Track time
  • Track successful executions
  • Capture hits on partners and insights

Rolling

Open live training where the exchange can go anywhere.

  • Track successful executions
  • Add partners to the hit list
  • Capture time and insights where useful
User loop

The app should guide pre-training intention and post-training reflection.

This turns Hone from a passive tracker into a deliberate practice companion.

Set Intention

Before training, pick one to three focus skills for the day or week.

Train

Use those skills in study, drilling, games, and rolling.

Log Evidence

After training, record time, successful executions, footage, hit counts, and insights.

Refine Focus

Update the stage, next cue, or next training intention based on evidence.

Product strategy

Distribution starts with a tool pros actually use.

The app has to be useful enough that pros would use it in their own training. If that is true, their normal training process can become content, and that content can become a recurring income stream.

Why pros would use it

Hone should make deliberate practice easier for people who already care deeply about improving: choose the skill, log the work, preserve insights, review footage, and track whether the skill is becoming reliable.

What makes hobbyists use it

For hobbyists, the usage risk is habit inertia: most people are used to showing up, taking class, and doing whatever training gives them that day. Borrowed status helps overcome that inertia because using the same tool as a pro makes deliberate practice feel like part of the pro identity they want to emulate.

1

Use the app

The pro uses Hone for an activity they already do: deciding what to work on, training it, logging evidence, and reflecting afterward.

2

Make content

That use becomes easy content: what skill they are honing, how they are practicing it, what changed, and what they learned.

3

Audience signs up

The pro already has an audience. Viewers see Hone in use, want to train more deliberately, and subscribe through the pro's affiliate link.

4

Earn recurring revenue

The pro gets a healthy percentage of monthly revenue from their users. A second level could pay them when athletes they recruit generate subscribers too.

For expert review

Questions to pressure-test with a high-level learner.

These questions should test the learning model, the logging burden, and whether the app solves real problems for serious practitioners.

Later possibilities

Expandable, but not required for the first version.

These are powerful directions, but each should wait until the core learning loop is working.

AI-assisted reflection

Convert voice notes into concise summaries: what worked, what failed, next cue, and next training intention.

Eco games library

A searchable library of constraint games connected to specific skills, positions, and learning goals.

Collaboration

Let coaches or training partners suggest skills, add notes, share games, or review progress.

Coaching add-on

Give athletes and coaches a way to assign skills, review student training footage, comment on executions, and monetize coaching relationships inside the same skill pipeline.

External databases

Potential integrations with resources like BJJ Mental Models DB or OutlierDB if they support the learning loop.