Rock Climbing

AI Climbing Coach

Upload your bouldering and route attempts and receive instant AI-powered feedback designed to help you improve footwork, body position, grip choice, and movement efficiency.

Section 1

What is Obstacle IQ?

Upload a video
Phone footage, GoPro, anything in 1080p.
AI analyzes movement
Frame-by-frame technique scoring.
Receive feedback
Specific timestamps and drill plans.
Track progress
Trend lines across weeks of training.

Obstacle IQ is an AI movement coach built for climbers. You film a boulder or route attempt — a project burn, a flash attempt, a working go — upload it, and within minutes the system returns a structured technique report covering footwork, body position, grip choice, momentum, and movement efficiency.

Climbing is one of the most coachable sports on earth, but most climbers train without a coach. The default coaching loop is 'I felt off' or 'I think my hips were wrong,' and the actual cause goes uncorrected for months. Obstacle IQ closes that loop the same day, with specific timestamps, frame-level overlays, and prescribed drills.

Most climbers upload 4–10 clips per session — three attempts on a project boulder, two warm-up routes, and a working go on something at the next grade. The system stores everything, so as you scroll back through past sessions you can watch your footwork evolve on the same problem across weeks.

Section 2

Who Is This For?

Obstacle IQ is built for climbing athletes at every level — from beginners building their first technical reps to competitors refining podium-level execution.

Bouldering Athletes

Indoor and outdoor boulderers projecting from V3 through V12+ who want objective feedback on movement choices.

Sport Climbers

Route climbers from 5.10 to 5.14+ who need pumped-vs-fresh comparison footage and pacing analysis on long routes.

Indoor Climbers

Gym climbers training without a regular coach who want a consistent set of eyes on every project burn.

Competitive Climbers

Comp climbers prepping for IFSC, USA Climbing, and local circuits where reading the boulder is half the battle.

Section 3

What Can the AI Analyze?

Every clip is broken into the technical sub-components a great Climbing coach would grade — the same checklist they would run mentally, applied to every rep instead of the ones they happen to be watching.

Body Positioning

Hip-to-wall distance, shoulder rotation, drop-knee vs. flag selection, and overall body tension across the move.

Route Efficiency

Time per move, regrip events, hesitation detection, and overall flow across a sequence.

Dynamic Movement

Dyno trajectory, dead-point recognition, and momentum-vs-static decisions on big moves.

Grip Usage

Crimp vs. open-hand vs. pinch detection, finger position on holds, and grip changes mid-move.

Foot Placement

Toe placement precision, edge vs. smear selection, and foot quietness on small holds.

Momentum Control

Swing initiation and damping, barn-door detection, and recovery patterns between hard moves.

Section 4

Why Video Analysis Matters

Climbing technique is impossible to feel accurately in the moment. A move that feels easy can hide three inefficient micro-choices, and a move that feels desperate is often a body-position problem masquerading as a strength problem. Video review is the only honest mirror.

Self-review is also limited because climbers tend to remember the holds, not the movement. You remember the sloper at the lip but you don't remember whether you flagged or dropped the knee on the move before it. Frame-by-frame analysis fills that gap.

Objective feedback short-circuits the most expensive trap in climbing — training strength when the issue is technique. The athletes who plateau the longest are almost always the ones who responded to every plateau with more hangboard work.

Frame-accurate feedback also makes coaching sessions more efficient. Instead of spending half a session figuring out what you did, your coach opens the report and skips straight to the part that matters.

Section 5

Common Mistakes We See on Submitted Footage

These are the patterns that appear most frequently in Climbing clips uploaded for review — and the ones that quietly cost athletes the most progress.

Over-reliance on upper body

The most common climbing mistake across submitted clips is pulling with the arms when the legs should be pushing. The fix is a body-tension drill, not a stronger pull. The system flags this within the first attempt.

Poor footwork

Most climbers place feet quickly and inaccurately because their attention is on the hands. Quiet, deliberate foot placement is the highest-leverage technique investment a climber can make. The report scores foot quietness on every clip.

Route-reading mistakes

Climbers commonly miss the obvious beta — a drop-knee, a heel hook, a flag — because they did not read the sequence carefully on the ground. The system identifies movements where alternate beta would have been mechanically cheaper.

Crimping when an open hand would work

Crimping when it isn't necessary burns finger tendons and shortens the climbing career. The grip-style analysis flags every crimp the system thinks was avoidable.

Static when dynamic is required

Trying to grind through a move statically when the cleaner solution is a dead-point or small dyno is a common time and energy waste. Conversely, dynoing through a static move costs accuracy. The system distinguishes between the two and recommends accordingly.

Hesitation under fatigue

On long routes, the difference between sending and falling is usually 0.5–1 second of hesitation per move once the pump sets in. The report identifies the move-count at which hesitation begins and prescribes route-pacing drills.

Section 6

Sample Analysis

Sample Analysis Preview

V6 Boulder — Project Burn, Attempt 4

Example output — not a live analysis

Strong start through the opening crimp ladder. The crux move (move 6) is fought through statically when a small dead-point would have made the hold more secure. Top-out is clean but slow.

Technique Score
81 / 100
Footwork on moves 1–5 is precise; move 6 is the priority area.
Efficiency Score
73 / 100
Two regrips on the crux hold; an estimated 4 seconds of unnecessary work.
Movement Style
Static
Move 6 would benefit from a dynamic dead-point — recommended beta change.

Movement Observations

  • Hips drift away from the wall on move 6, increasing pull demand on the right arm.
  • Right foot smears instead of edging on move 7 — a clean edge is available 5cm above current placement.
  • Two regrip events on the crux hold cost approximately 4 seconds of forearm endurance.

Suggested Improvements

  • Drill the crux move in isolation with a dead-point cue — 5 reps per session.
  • Foot-precision practice on slab routes 2 grades below current project level, 3x10 minutes weekly.
  • Hip-engagement drills (hip-to-wall holds) twice this week to reduce the move-6 drift pattern.

Why technique compounds in climbing

Two climbers with identical strength will not progress at the same rate. The one with cleaner footwork and better body positioning will pull away over two years and stay ahead for a decade. Technique is the variable that compounds. Obstacle IQ exists to make sure the technique side of your training receives the same systematic attention your strength training already does.

Reading routes better — and verifying the read

Most climbers think they are good at reading routes. The honest test is whether the route they climbed matched the route they read on the ground. The system compares your stated intention with your actual execution and surfaces where reality drifted from plan. Over time, route-reading accuracy is one of the largest measurable improvements climbers gain from the tool.

Projecting smarter

Effective projecting is not just throwing yourself at the boulder. It is structured experimentation. The system tracks every attempt on a project, shows technique deltas across attempts, and identifies which micro-changes correlated with closer-to-send results. That makes the next session a hypothesis test instead of another guess.

Section 7

Frequently Asked Questions

How does AI video analysis work for climbers?

You upload a boulder or route attempt and the system analyzes body position, footwork, grip choice, and movement efficiency. The report includes specific timestamps, drill prescriptions, and a comparison against your past attempts on the same problem or grade.

Will it work for outdoor climbing?

Yes. The system analyzes movement regardless of setting. Outdoor footage is welcome — sport, trad, and outdoor bouldering all work as long as the climber is visible in the frame.

Does it work for trad climbers?

Trad climbing involves protection placement and rope management that the system does not evaluate. Movement and technique on trad routes are still analyzed normally.

Can it suggest beta?

Yes. When the system identifies a mechanically cheaper alternative — a drop-knee, a heel hook, a flag — it surfaces the suggestion with reasoning. The athlete decides whether to try it.

What angle should I film from?

A side-profile clip from 10–20 feet away is the workhorse angle for climbing because it captures hip position and foot placement cleanly. A second angle from straight-on adds value for dynamic moves.

Is this for beginners or advanced climbers?

Both. Beginners get the biggest immediate jump because basic footwork fixes unlock multiple grades. Advanced climbers use it for project-specific micro-beta refinement and for tracking long-term technique trends.

Can I compare attempts on the same project?

Yes. The system groups attempts on the same problem and shows technique improvement across attempts. This is one of the most-used features for project work.

Will it replace my climbing coach?

No. It complements one. A coach watches once a week. Obstacle IQ watches every clip, with consistent criteria. Used together, they accelerate progression noticeably.

Does the system understand bouldering vs. routes?

Yes. Pacing, efficiency, and pump-management feedback differ for boulders (high-intensity, short) and routes (sustained, endurance-driven). The report adapts based on clip length and movement density.

Section 8

Related Climbing Reading

Train Smarter With Obstacle IQ

Upload your videos. Get feedback. Improve faster.