Do not install or run any file associated with this name.
Why?
| Week | Milestone | Deliverable | |------|-----------|-------------| | 1‑2 | Foundational SDK & Collector | iOS/Android/Web SDK (v0.1), Kafka‑backed collector service, basic schema docs. | | 3‑4 | Profile Store & Stitching | Neo4j graph schema, Flink stitching job, simple UI to view a profile. | | 5‑6 | Signal Enricher (first wave) | Integration with one external source (e.g., Google Trends) + enrichment pipeline. | | 7‑8 | Leverage Index Engine (MVP model) | LightGBM model trained on historic install + revenue data, scoring API. | | 9 | Insight Generator | Prompt template + OpenAI API wrapper, produce one‑sentence recommendation. | | 10 | Alert Hub | Slack webhook integration, basic throttling, feedback capture UI. | | 11‑12 | Admin Console (Beta) | Dashboard with Leverage Heatmap, cohort list, threshold controls. | | Beyond | Iterative enhancements | Add more enrichment sources, Bayesian uplift layer, What‑If simulation engine, A/B test integration. |
Leverage refers to the idea of using a small amount of effort or resources to gain a much larger advantage or outcome. This concept is widely used in business, finance, and personal development.
LIE continuously harvests, normalizes, and enriches usage‑signal data from every “install” event, then surfaces actionable, high‑leverage insights that product managers, marketers, and growth engineers can act on instantly—turning raw installations into a living roadmap for product‑market fit.