「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, churn, LTV, ARPU, total revenue & valuation of your pay-powered Rails SaaS app.
Apache Pig UDFs for ranking (ndcg, mrr, jaccard coefficient, cosine similarity, rank-biased overlap)
Fast implementation of the MRR ranking metric
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.
Find mentors making +$10k MRR targeted to your market, stage and experience and fulfill your startup dreams. - Get equity in early-stage startups by mentoring their founders to find product-market fit.
Design, Implementation and Evaluation of various Search Engines
Add a description, image, and links to the mrr topic page so that developers can more easily learn about it.
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