「硬地骇客 - 两个月 $12000 ARR 实践之路」是由 硬地骇客 团队编著，本书是关于 Podwise 产品历程的忠实记录：内容包含 灵感 - 构建 - 发布 - 增长 - 复盘 五个章节。如果你觉得一个人读不够过瘾，欢迎加入「硬地骇客」官方知识星球与专家们一起讨论！Podwise 的故事才刚刚开始，我们也将在星球持续分享我们的认知，成功可能无法复制，但失败一定可以借鉴。现在就点击下方链接加入吧！

A general purpose recommender metrics library for fair evaluation.

💸 Calculate the MRR, ARR, TTM, churn, LTV, ARPU, total revenue & valuation of your pay-powered Rails SaaS app. MRR dashboard for your Rails app.

Official codebase for the ACL 2025 Findings paper: Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval.

MRRPorn is an art project made for fun to make you smile

Structured approach in AI and ML. Fundamentals and Advanced topics. RAG, Scoring & Profiling, LangChain & LangGraph, Certified Azure AI Engineer materials.

Apache Pig UDFs for ranking (ndcg, mrr, jaccard coefficient, cosine similarity, rank-biased overlap)

Open source iOS app revenue leaderboard powered by RevenueCat. Track and compare MRR and revenue metrics from verified apps.

Built a SaaS analytics project using SQL and Python where I reconstructed customer lifecycle from snapshot data and analyzed key metrics like MRR, churn, cohort retention, ARPU, and LTV. I found that revenue growth was driven by customer acquisition rather than pricing, as ARPU declined over time while MRR increased

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

Program that use a direct graph and the PageRank algorithm (both simple and weighted). Use of the TF-IDF algorithm to calculate the relevance of the terms of the document collection.

A scalable two-stage news recommender that retrieves relevant candidates and reranks them using hybrid lexical and semantic features to optimize top-K recommendation quality.

Why manual SaaS analytics tools waste your time — and how Chartsy fixes it all in one place.

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.

An opinionated read-only Stripe MCP server for indie SaaS founders to ask AI about MRR, churn, failed payments, dunning recovery, disputes, at-risk customers, and support context in plain English.

🎬 This repository focuses on building a personalized movie recommender system for ZEE5 using collaborative filtering, content-based methods, and matrix factorization, Pearson correlation, Suprise SVD techniques to deliver accurate, user-relevant recommendations & evaluated through NDCG, MRR, MAPE

Self-hosted, open-source ledger for indie SaaS and side projects. Track costs, earnings, MRR, burn, and runway in one SQLite file you own.

SaaS Expansion Scenario Model using real Datadog FY2025 data. SQL + Financial Modeling.

Plataforma de análise de assinaturas SaaS com PostgreSQL, MongoDB, Kafka e Terraform para monitoramento de MRR, ARR, Churn e retenção de clientes aplicando SQL avançado e infraestrutura como código.

Fast implementation of the MRR ranking metric