@Robhay3s · X

Koimiao · V2EX

做了个小工具，可以从各个维度评估一个 GitHub 项目，想请大家拍砖 找开源项目时，我们常常会先看 Star 、README 和最近一次提交。如果你是独立开发者，正在维护自己的开源项目，也想知道怎么让自己项目更健康、被更多人看见，第一步该从哪里做起？ 所以最近我做了一个小项目：TrustOSS http://trustoss.org 输入一个 GitHub 仓库链接，TrustOSS 会把这些公开信号整理成一份可读的仓库健康报告：活跃度、维护情况、社区、文档与成熟度评分；也可以进一步查看漏洞、CI 、真实依赖者、维护者集中度和 Star 异常情况。 想要评估一个开源项目，或者维护自己的开源项目，想知道短板在哪里，都可以直接试试（是免费的！

u/SnowSilent7695 · Reddit

Got my first 60 signups through Reddit and want to continue the momentum I've gotten my first 60 signups through Reddit over two months and feel like I have a good thing going. I'm positioning my app as the Bloomberg Terminal for Everyday Investors where you can search over 600M+ financial datapoints in Claude, ChatGPT, or with your own AI Agent at an affordable price. There are other competitors trying to do something similar, but to my knowledge, they seem to be focused on specific us

u/illerminati · Reddit

Caching Deep Research Output Hi r/SideProject . Just sharing a side project I've done in the recent weeks that I think might be useful for some. I use deep research at work to understand unfamiliar software domains, and in my personal life to compare products before buying them. I can’t use my company's LLM for personal use, and the publicly available deep-research products (like Claude and OpenAI) are too expensive for my taste, so I built a DeepSeek-powered alternative. The pipeline s

u/miihr_ · Reddit

What organic growth looks like https://preview.redd.it/njr9h3gzwrmh1.png?width=1406&format=png&auto=webp&s=0404bb496b98c491d24b32a62bd434c28b060b5e pipeout.sh is basically a google drive for agents. Your agent writes a report page, pushes the file, gets back a URL you can open or send to someone. It's been a month and 73 files on there now, the green portion is what I'm getting in terms of organic growth. Not viral, nothing like some of the posts on here. But a couple of

@bashops_dev · X

Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.

@manixh · X

@BiaoBuilds · X

我做了一个帮助读者拆解新闻论证结构的工具：LedeLens。 它不做事实核查，也不判断政治倾向，只回答一个更小的问题：文章的结论，能否由它自己提供的证据支持？ 在线体验： 感兴趣可以看看~

u/Comprehensive-Bad-43 · Reddit

I got tired of documentation that lies, so I made docs that have to prove every sentence Founder here! Every codebase I have ever joined had the same problem: the docs describe the code as it was six months ago. Nobody updates them, because updating docs is the least rewarding job in software. So I built RepoFold . You connect a GitHub repo and it generates a full wiki, but with one hard rule: every technical claim has to cite the exact file and line numbers it came from. If the AI can'

@fatwang2ai · X

做了一个 IP 检测工具： 开源。一次查询汇总 13 个数据源的风险评分、代理/机房类型和网络归属。不同平台的判断经常不一样，有些数据库甚至提供付费修正机制。与其只信某一家，不如把共识和差异放在一起看，更全面地了解你的 IP

@Havey1001 · X

公共数据被研究得多，并不等于没有创新。更关键的是问题设定、识别策略、机制解释，以及同类结论和引用证据链是否已被覆盖。投稿前先系统比对公开论文、专利和既有技术路线，能少走不少弯路。我们做了一个投稿前风险预审工具，专门把这些重合与薄弱点提前摊开：

@amitranjan · X

The most useful vibe-coded app till date! Crowdsourced bribes registry