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上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

Zuvio Atlas — 通过 AI 根因诊断监控服务器和按需响应。
@iamjackwiz · X

Semfora: 分析代码库结构找出代码变更的风险
u/jeremyStover · Reddit
My second paying customer bought a full year subscription. I have mentioned https://semfora.ai before, here and there on Reddit. I haven't talked much about what it really provides. I was hoping to drive up some organic traffic, from people that had the motivation to dig past the beta. Stupid idea, but now that we have passed pen tests and hit the minimum requirements check list for security audits, (see other threads about that) we opened up the beta to everyone. Two days after that(

Paste a listing URL. Get a full compound analysis in 60 seconds. Acreage, water, structures, access, and a veteran property tax exemption rules lookup — scored across 6 criteria.
@TractLens · X

分析开源 GitHub 项目的健康指标、漏洞和质量数据。
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!

Sign bilateral trust links on-chain. Build your decentralized trust network.
@jaytehsouth · X

用截图AI分析加密币风险
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]

油气行业安全审计软件,支持离线工作、JSA分析和热工许可流程。
@jay_cobski · X
Awesome oil and gas safety audit tool -

导入业务数据,用AI分析识别影响利润的因素。
@xzen_FH · X
Looking to connect with people interested in: 🔹 SaaS 🔹 Startups 🔹 AI / ML 🔹 Data Science 🔹 Vibe coding What are you working on right now? Drop it below 👇 Would love to see what everyone’s building.

分析Reddit和GitHub讨论,为产品决策生成客户洞察。
@Tweet2Tusharr · X
hey everyone 👋 we've been working on something over the last few weeks around customer research. we'd genuinely love if you could spend 5 minutes trying it and tell us what we're getting wrong.

查看生产Agent追踪记录,识别并修复重复故障。
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at