PORTFOLIO

Reverse Engineering The Apps You Actually Use

Case studies, methodology breakdowns, and before/after analyses of consumer software deconstruction.

Portfolio

TikTok Algorithm Deconstruction

Mapped recommendation pipeline, ranking weights, and watch-time signal flow across 14 days of testing.

Spotify Wrapped Reverse Build

Rebuilt the year-end summary logic from API calls to render templates, exposing data aggregation secrets.

Instagram Feed Ranking

Documented shadow signals influencing post order, including dwell-time thresholds and engagement decay.

Uber Surge Pricing Logic

Traced real-time multiplier calculation across 200+ rides to map demand-supply curve triggers.

Snapchat Streak Mechanics

Exposed the server-side validation, timezone handling, and decay rules governing friendship streaks.

YouTube Shorts Loop Analysis

Frame-by-frame playback instrumentation revealed loop detection and re-injection intervals.

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Methodology, Not Magic

Every case study follows the same protocol: instrumentation, traffic capture, binary analysis, and behavioral correlation under controlled conditions.

We publish full methodology PDFs, raw packet captures where safe, and reproducible scripts so findings stand up to independent verification.

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414 documented reverse engineering engagements. Every artifact archived, every assumption tested.
Portfolio

Before / After: Duolingo Streak Recovery

Before: opaque streak loss with no warning, no grace window, and no API path for users to verify their actual activity history.

After: documented 17 server endpoints, reverse-engineered the streak calculation formula, and built a public validator still used by power users.

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Airbnb Pricing Engine

Decoded nightly rate suggestions across 12 cities, isolating seasonality coefficients and host quality multipliers.

Twitter/X Thread Ranking

Captured in-feed experiments to map reply weighting, author authority scores, and recency decay functions.

Robinhood Order Routing

Mapped payment-for-order-flow pathways and identified PFOF counterparty selection under latency constraints.

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