Overview

Version:
1.2.0
Last updated: 2026-06-15
Ranking
#1,207,523 ▼ 78,156
Overall

Features & Capabilities

Analyze your PIN’s muscle memory via keystroke dynamics. Isolate motor habits using haptic pacing, view tactile heatmaps, and study statistical patterns 100% offline.

Have you ever forgotten a passcode, only to find your fingers moving automatically when you stop thinking about it? That is procedural memory (muscle memory) in action.

FingerCode is an advanced, science-based statistical utility designed to help you analyze the physical typing patterns of your forgotten PINs or lock sequences. By serving as a mathematical mirror, the app captures, filters, and organizes your physical inputs so you can analyze the underlying data.

HOW IT WORKS: Instead of trying to consciously guess your PIN—which triggers cognitive interference—FingerCode invites you to "type without thinking" over multiple repetitions. By gathering coordinate and timing data, the app applies stochastic analysis to cancel out natural human error, allowing consistent motor patterns to surface visually.

CORE FEATURES: • Scalable Lock Screen Canvas: A modern, liquid-glass interface calibrated to mimic standard physical and digital keypads. • Three Interface Environments: Capture inputs using standard Numbers, spatial Shapes, or Blank keys (pure muscle memory). • Haptic Rhythm Pacing: Integrated vibration cues that enforce a deliberate cooldown between attempts. This breaks rational guessing loops and forces reliance on motor automation. • Advanced Statistical Metrics: View top repeated sequences, positional probability graphs, timeline consistency, and statistical confidence levels. • Multi-Position Touch Heatmaps: Normalize and visualize physical touch coordinates, filtered digit by digit to isolate structural muscle habits. • Pure SwiftData Architecture: Built with a strict Zero-Knowledge philosophy. 100% of the data processing and storage happens locally on your iPhone. No accounts, no servers, and no third-party tracking SDKs.

SCIENTIFIC BACKING: FingerCode’s workflows integrate established principles of cognitive neuroscience and keystroke dynamics:

  1. Motor Chunking (Grafton & de Xivry, 2015): Repetitive motor sequences are optimized and stored as a single continuous action by the basal ganglia.
  2. Explicit Monitoring Theory (Beilock & Carr, 2001): Conscious attention disrupts automated physical skills. Our haptic pacing minimizes prefrontal cortex interference.
  3. Keystroke Dynamics (Killourhy & Maxion, 2009): Aggregating sample sizes isolates behavioral anomalies and highlights consistent physical trajectories.

POTENTIAL USE CASES: • Analyzing muscle habits for an old legacy phone PIN before secure migration. • Tracing physical memory pathways for home digital locks, safes, or physical lockers. • Reviewing spatial patterns for personal credential management.

IMPORTANT LEGAL DISCLAIMER & EXEMPTION: FingerCode is an analytical and statistical tool. It is NOT a hacking, cracking, or brute-force decryption software. It does not interface with iOS system security, bypass device encryption, or deliver definitive code verifications. FingerCode merely organizes inputs provided exclusively by the user. Entering incorrect passcodes on an active device screen can result in permanent data loss or factory lockdown. Use strictly on your own devices or where you possess full legal authority.

User Growth & Download Statistics

App
By:
German Charls Said Tardio Perez
Version:
1.2.0 Last updated: 2026-06-15
Version code:
886698830
Creation date:
2026-06-15
Compatible devices:
Size:
1.26MB
URLs:
Website ,Privacy policy
Full description:
See detailed description
Source:
Apple Apps Store
Data ingested on:
2026-07-26
Compare stats and ranking:

Contact the developer

Chrome-Stats does not own this Apple app. Please use these information below to contact the Apple app developer.
Developed by:
German Charls Said Tardio Perez
Apple Apps Store
https://apps.apple.com/gb/app/fingercode/id6778183652
Website:
https://koddo.tech/fingercode

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