Projects in Awesome Lists tagged with mrr
A curated list of projects in awesome lists tagged with mrr .
https://github.com/hardhackerlabs/book
「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!
ai book indie-hackers mindmap mrr podcast summarizer transcription
Last synced: 14 May 2025
https://github.com/AstraZeneca/rexmex
A general purpose recommender metrics library for fair evaluation.
coverage deep-learning evaluation machine-learning metric metrics mrr personalization precision rank ranking recall recommender recommender-system recsys rsquared
Last synced: 27 Mar 2025
https://github.com/astrazeneca/rexmex
A general purpose recommender metrics library for fair evaluation.
coverage deep-learning evaluation machine-learning metric metrics mrr personalization precision rank ranking recall recommender recommender-system recsys rsquared
Last synced: 04 Apr 2025
https://github.com/rameerez/profitable
💸 Calculate the MRR, ARR, churn, LTV, ARPU, total revenue & valuation of your pay-powered Rails SaaS app.
business-analytics dashboard mrr rails ruby ruby-on-rails saas valuation
Last synced: 16 Apr 2025
https://github.com/krasun/mrrporn
MRRPorn is an art project made for fun to make you smile
joke jokes money mrr nextjs tailwind typescript
Last synced: 19 Apr 2025
https://github.com/stefan-schroedl/pigrank
Apache Pig UDFs for ranking (ndcg, mrr, jaccard coefficient, cosine similarity, rank-biased overlap)
cosine-similarity dcg hadoop map-reduce mrr pig ranking
Last synced: 22 Apr 2026
https://github.com/npow/stripe-analytics-mcp
30-second Stripe morning check via MCP: MRR, churn, failed payments, and trial risk.
billing-analytics churn-analytics mcp model-context-protocol mrr npm saas-metrics stripe typescript
Last synced: 23 May 2026
https://github.com/huacenxu/embedding-models-for-ai-retrieval
This project develops a domain-specific embedding model to enhance document retrieval in AI-powered search systems. It incorporates techniques like synthetic data generation, model fine-tuning, and vector search using FAISS, evaluated with MRR@5 for performance.
document-retrieval embedding-models faiss machine-learning mrr nlp reallifeproject semantic-search
Last synced: 12 Mar 2025