About this project

PrecisionPath (repository name: reflex-arcade) is an MIT-licensed aim-training application aimed at players who want to improve mouse or touch precision, as well as anyone seeking finer pointer control. The README frames it as a "reflex geometry trainer" rather than a conventional target-clicker, emphasizing prediction, economy of motion and micro-recovery over raw clicks-per-minute. Core features described in the README: - Adaptive Difficulty Engine (ADE): tracks spatial weak spots where reaction time dips below the user's average and generates drills targeting those zones with escalating complexity. - Motion Economy Index (MEI): a 0-100 score measuring unnecessary cursor travel per successful hit; the README states professionals typically score under 15 and beginners often start above 60. - Scenario Simulator: accepts game sensitivity (DPI x in-game multiplier) and field of view, then renders geometric approximations of combat situations such as corner peeking, tracking and crosshair placement. The README stresses these are generic parabolas, arcs and splines, not copyrighted game assets. - Multilingual interface: 14 languages listed (English, Spanish, Mandarin, German, Portuguese, Arabic, Hindi, Japanese, Korean, French, Russian, Turkish, Polish, Dutch), with voice-guided coaching in 6 major languages. - Cross-platform input: mouse, touchpad, pen and touchscreen, with device-specific drill sets and optional cloud sync for progress stats. Drill modules listed include Micro-Flick, Sweep Track, Peek & Read, Recovery Loop, Hesitation Radar, Peripheral Purge and Two-Finger Tango. Each module is said to produce persistent progress heatmaps that color-code sluggish and sharp screen regions. Progress tracking includes 30/90/365-day rolling trend charts, personal-best leaderboards limited to self-competition, streak calendars and an efficiency breakdown separating quality improvement from repetitive fatigue. Privacy: the README states raw input data is never uploaded by default; analytics run locally in the browser or desktop runtime, and optional cloud sync is described as end-to-end encrypted. Fair-play disclaimer: PrecisionPath is presented as a practice tool for the user's own motor coordination. It does not modify game files, interfere with anti-cheat systems or provide in-game assistance during live play, and it is not affiliated with any game publisher. Documentation and community: API documentation for custom drill forking, coaching guides in 6 languages (PDF), video tutorials, and a community pattern library for sharing drill geometries as JSON. Support channels include Discord, GitHub Discussions and email, with the README claiming automated triage and human responses within 24 hours. Roadmap items for 2026: a VR Aim Space module in Q1, a community drill marketplace in Q2, natural-language AI coaching in 8 languages in Q3, and migration to WebGPU for 144Hz+ refresh accuracy in Q4. License: MIT, permitting use, modification and distribution including commercial applications, provided the copyright notice and disclaimer are retained. Note: the README contains marketing-style claims (e.g. contributor counts, build status badges, response-time promises) that are not independently verified here. The repository description mentions Valorant and CS2, but the README itself states no affiliation with any game publisher and describes only generic geometric scenarios.