A new kind of FPS aim trainer

I played a lot of Valorant and got mad, so I made an aim trainer that analyzes your raw crosshair movement to explore your raw motor and perceptual weaknesses instead of scoring scenarios. It also chooses sens and difficulty as part of the tasks, and makes playlists that are optimal difficulty for you to learn and progress faster!

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FL score

72

out of 100

Verdict

VALIDATE

high confidence

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An aim trainer that diagnoses specific motor control weaknesses and auto-adjusts difficulty and sensitivity to accelerate skill progression.

The pain

FPS players plateau because existing trainers (Aim Lab, Kovaak's) score scenarios but don't identify *why* you miss, whether it's tracking lag, flick precision, crosshair control consistency, or sensitivity mismatch. Players grind the same difficulty and get frustrated without understanding their actual bottleneck.

The gap

Current trainers are static difficulty ladders with manual sensitivity tuning. This idea adds diagnostic analysis of raw movement patterns and dynamic difficulty/sensitivity selection. The gap is real but narrow, it's an optimization layer, not a new category.

Build angle

Start by validating that players will actually use movement analysis feedback. Build a minimal version that captures crosshair data, identifies 2-3 specific weaknesses (e.g., 'your flicks overshoot by 12%'), and auto-suggests sensitivity changes. Test with 50 Valorant players. If they report faster improvement than Aim Lab, you have something. If they ignore the analysis and just want harder scenarios, the core thesis fails.

Strengths

  • Solves a real frustration point, players know they're bad but not why
  • Sensitivity auto-tuning is genuinely useful and underexplored
  • Valorant/CS2 communities are large, engaged, and willing to pay for tools
  • Founder has domain expertise and built a working prototype
  • AI/ML angle is defensible if analysis is actually better than competitors

Risks

  • Aim Lab and Kovaak's have massive distribution and network effects; they may copy this feature in weeks
  • Players may not care about diagnosis, they want leaderboards, social features, and content creators using the tool
  • Monetization unclear: subscription for analysis? Freemium with premium playlists? Existing trainers have entrenched pricing
  • Movement analysis accuracy depends on hardware (mouse polling rate, monitor refresh); inconsistent results kill trust
  • Requires continuous content updates (new scenarios, maps) to stay relevant, not a one-time build

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