mrr

A general purpose recommender metrics library for fair evaluation.

Self-hosted Mantle replacement for Shopify app devs: MRR, churn, uninstall reasons, cohort retention from the Partner API. Your app's numbers on your own box. Not affiliated with Shopify.

Competition-grade local MRR validation toolkit for temporal graph link prediction. Works with Jittor framework. 第六届计图人工智能挑战赛赛道一本地MRR验证工具包，与计图框架兼容。

Korean-optimized RAG evaluation toolkit with Kiwi tokenizer, ROUGE metrics, and IR evaluation for retrieval systems (Hit@K, NDCG@K, MRR, etc.)

GMD is a lightweight SaaS metrics dashboard that gives founders instant clarity on their business performance. Track MRR, ARR, churn, CAC, LTV, and more through automated data ingestion, Stripe integration, and CSV uploads in an all in one clean, easy-to-use interface.

Agent skill for sourced brand traffic, AOV, MRR, and ARR reporting

Fast implementation of the MRR ranking metric

End-to-end recommendation system that suggests next learning items (courses, exercises, resources) based on student interaction data.Includes preprocessing, baseline + GRU4Rec models, evaluation and a Streamlit demo app.

📊 Track key SaaS metrics like MRR, ARR, and churn effortlessly with this intuitive dashboard for clear business insights.

B2B SaaS revenue intelligence dashboard — Python · Tableau Public

dbt + DuckDB subscription analytics pipeline: SCD2 modeling, reconciled MRR bridge, churn and cohort retention, Tableau Public dashboard

Small demo project for evaluating RAG retrieval quality using a simple BM25-style retriever and standard metrics (Hit@k, Recall@k, MRR).

MCP server: Lemon Squeezy + Gumroad + Polar + Stripe revenue, one Claude-queryable view.

SaaS financial metrics with dbt: MRR waterfall, churn analysis, customer LTV | PostgreSQL, Docker

Measures whether it actually finds it: rank, MRR, and what the embedding model never read.

Design, Implementation and Evaluation of various Search Engines

Small, fast, dependency-light evaluation harness for RAG systems. Retrieval metrics (hit@k, MRR, NDCG, precision, recall) + LLM-judged faithfulness. Zero framework baggage.

rag end-to-end system

A Python client for the TrustMRR API, for people who like their startup data the way they like their coffee: strong, typed, and delivered in cents.

Modeling Monthly Recurring Revenue (ARR) and subscription lifecycles using dbt and SQL. Handles churn, reactivations, upgrades, and downgrades via dimensional modeling.