2023Full StackActive—
ViralBrain
An AI-driven content viralization system focused on predicting engagement — and learning what prediction breaks.
00 — Placeholder
Case study coming soon
This page is intentionally a placeholder so the Projects “Case Study” route works.
The full write-up will follow the same narrative frame used elsewhere:
- —The Obsession
- —The Constraint
- —The Decision
- —The Failure
- —The Insight
What exists today
A working project route + a stable structure you can expand without reworking layout or components.
01 — What I’ll cover
Outline (draft)
ObsessionCan we predict what content will resonate *before* it’s posted—without turning creativity into a spreadsheet?
ConstraintSparse/biased signals: early engagement data is noisy, and feedback loops can poison the training targets.
DecisionBuilt a simple, explainable scoring pipeline first, then layered ML where it actually moved outcomes.
FailureEarly models overfit platform-specific patterns and broke when trends shifted.
InsightPredictive systems need drift awareness and human-readable explanations, or they become superstition.
02 — Next
What I need from you to finish this properly
To write the real case study, I need:
- —what you’re comfortable disclosing publicly (any sensitive dataset / partner info?)
- —the exact mechanism you want to highlight (forecasting, hooks, timing, audience clustering, etc.)
- —the failure story you most want to tell (drift, feedback loops, overfitting, cold start, metric gaming)
- —2–4 concrete architectural bullets (data pipeline, feature store, scoring, dashboards, evals)
Once you confirm those, I’ll replace this placeholder with the full narrative.
Placeholders are part of shippingA portfolio shouldn’t have broken routes. This page keeps navigation coherent while the real story is written.
NathanimFull Stack & AI Engineer
A bored developer is a dangerous developer.