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Feedback Aggregator
Signal from noise at scale
TypeScriptDataTooling
Overview
A tooling project focused on taking large volumes of unstructured feedback and turning it into actionable signals. Pipelines clean, categorise, and surface patterns from free-text input.
Stack
TypeScriptData Pipelines
Preview
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What I learned
- Thought carefully about data transformation and pipeline composability
- Applied TypeScript generics for flexible, type-safe data processing stages
- Learned to design pipelines that degrade gracefully when upstream data is messy
Build log
Struggles, findings, decisions, breakthroughs — the honest story.
🔴Challenge
Free-text is messy
Real feedback has typos, mixed languages, and wildly inconsistent formats. The cleaning stage ended up being 40% of the total code.
🔀Decision
Pipeline over monolith
Chose a composable pipeline architecture (each step a pure function) over a single pass. Made testing each stage trivially easy.
💡Finding
Category overlap is unavoidable
Users rarely give feedback that fits cleanly into one category. Multi-label classification worked much better than single-label.