金融商业1 month ago
Verdict · Hire on evidence. Put it in writing.
基于证据分析比较候选人，生成招聘决策文件。
facundobon · HN
Verdict – AI hiring verdicts where every score cites the CV verbatim
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技术栈
19 projects
基于证据分析比较候选人，生成招聘决策文件。
facundobon · HN
Verdict – AI hiring verdicts where every score cites the CV verbatim
浏览用户体验、人体工学、材料和可持续性的设计研究证据。
@DesignDexx · X
organises and simplifies relevant research for designers to read, bookmark, and make informed design decisions — instead of relying on AI.
分析新闻文章，验证结论是否得到证据支持。
@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~
基于研究的心理测试和脑测试，评估脑年龄、睡眠质量和幸福感。
@LifeGraphPlus · X
根据公众讨论验证产品创意，获得开发、调整或转向的决策。
@_sunbo · X
I built ProductIdeaScout to help founders validate product ideas before they start building:
根据已发布的代理标准评判AI产品,包含可检查证据和社区投票。
@katyorby · X
i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.
RESACH analyzes 10 years of scientific literature to surface high-impact research questions, limitations, and unexplored opportunities with evidence directly from papers.
@anishka_25 · X
Research shouldn't be difficult checkout !
Keel - 在一个地方管理合规控制、政策和审计证据。
@KeelGRC · X
just launched this week. It’s an SMB-friendly GRC and compliance application.
用AI根据具体性、证据质量和风险清晰度为创业想法评分。
@nellaiorgs · X
Building NELL Labs -- an AI-native startup validation platform. Instead of generic LLM answers, it scores your idea across specificity, evidence quality, risk clarity, and next-step usefulness, so you know if it's actually validated or just sounds good.
用AI分析社交媒体数据回答市场研究问题，洞察有证据支持。
Dgeloe4-yb · GitHub
market-pilot Evidence-grounded market research prototype with traceable AI workflows.
上传论文和科研项目，识别方法论漏洞、论证薄弱和引文缺陷。
@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：
搜索实验室报告验证产品纯度和成分。
@Titratelab · X
Love the direction. Partner with us at Built by security & software engineers. We scrape Whatsapp, TG, GLP1forums, Meso, Finnrick, Janoshik, Freedom, peptidechat, and even Discord- where we have over 1 billion messaged logged and analyzed. 70,000 COAs stored in our database from thousands of vendors. Sentimental analysis driven trust signals on all communities. This isn't vibe-coded one-shot scraping; we've developed our own inhouse anti-automation bypasses for nearly every major platform.