reddit · SideProject · 09-14 23:50 56 分 ← 返回列表

I built a site that reads every new computer science paper on arXiv each week and flags the ones that could become a product

Hello, I built weekinpapers.com. It lists every computer science paper posted to arXiv in the current week, with a plain-language headline and summary for each one. Where a result looks like it could become a product or a service, the paper gets a mark, a line on who it is for, and a line on what could be sold. The thinking behind it is this. Good ideas tend to appear at the frontier, at the point where a new fact has just been established and very few people know it yet. arXiv is where t

五维评分

付费意愿

需求真实度

个人可落地

竞争空间

新鲜度

AI 分析

痛点：计算机科学领域每周约有2500篇arXiv新论文，信息过载导致独立开发者、产品经理和投资人无法及时发现其中可产品化的前沿成果。

目标用户：独立开发者、AI创业者、产品经理、技术侦察/VC分析师、需要跟踪前沿论文的研发团队。

证据：Almost nobody reads them, because they are written for other researchers and there are too many. So most of the frontier goes unnoticed, and the people who would act on it never see it. / This week that gave 289 papers with a commercial line, out of 2,595.

变现：免费周报/网页引流，付费订阅高级筛选、领域定制报告、商业化线索API、团队版监控与提醒；也可面向VC/企业提供按需技术侦察报告。

MVP：用arXiv API按CS分类抓取每周新论文，调用LLM对摘要生成白话标题、一句话总结、目标用户和可售卖点标签，做成可搜索网页+每周邮件订阅，先免费验证打开率和留资，再对高级筛选/提醒收费。

竞品：AlphaSignal、Hugging Face Daily Papers、arXiv Sanity、Papers with Code、Emergent Mind、Elicit、Semantic Scholar

摘要：作者发布 weekinpapers.com，用LLM每周扫描约2595篇arXiv计算机论文，并为其中289篇标记商业机会、目标用户和可售卖方向。该产品解决论文过载导致前沿机会被忽略的问题，目标用户是开发者、产品人和投资人。项目技术门槛低、适合独立开发，但缺少付费意愿或收入数据，且已有多个论文摘要与趋势追踪竞品。