金融商业4 weeks 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
完整作品展
技术栈
16 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
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~
扫描AI账单找出浪费支出，用防篡改证据证明节省成本。
@askrashidkhan · X
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
向SAM提问关于圣经的问题，获得每项声明都附带引用经文的答案。
u/zx9rams · Reddit
I built a Bible tool designed so the AI can't just make things up. I've been building this for a while and the part I actually care about is the architecture, because an AI that reads the Bible is exactly the thing nobody should trust by default. So its built the opposite way, the model is treated as untrusted and the code owns every real decision. every quote is checked word for word against the Hebrew and Greek before it shows, so the model cant paraphrase scripture into an answer eve
用 Etch 追踪、回放和验证 AI 代理的决策。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
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:
五位历史人物为您的人生难题辩论，由马可·奥勒留给出最终裁决。
u/Rcoo232 · Reddit
I built a council of 5 historical figures that debates your hardest life decision (based on Karpathy's LLM Council) A few weeks ago, I came across Karpathy's "LLM Council" concept. You ask multiple Agents the same question independently, have them anonymously peer-review each other, then synthesise a final answer. The peer-review round is the genius part; models get surprisingly honest when critiquing anonymised responses. I turned it into a consumer product where the council members are hi
创建可共享表单收集客户证言，展示社交证明并分析转化。
@AmyVaradkar · X
It solves the scattered testimonial problem. Freelancers and agencies collect feedback via shareable form, display it anywhere, get real analytics on what converts. Beta access available right now which gives free pro plan for 15 days.
IntelligenceMax: 解答自适应AI生成的谜题来训练推理能力，从错误中学习。
u/connerpro · Reddit
IntelligenceMax - Adaptive reasoning practice with live AI questions (claim-safe near vs far) submitted by /u/connerpro to r/SideProject [link] [comments]
粘贴两个 AI agent 版本，对比治理权限的变化。
stoicstoic · HN
Show HN: Diff two versions of an AI agent and catch silent permission changes
创始人对商业决策表态并与同行比较判断的社交网络。
u/meliksah-eminoglu · Reddit
built a decision-making social app 3 days ago, and it’s already converting visitors into users Im a solo founder and vibe coder with six years of experience building and advising in blockchain/crypto. Three days ago, I launched the social layer of What Would You Do?, and visitors have already started becoming users. The app turns a messy spoken or written dilemma into three clear paths with visible priorities and tradeoffs. You can keep it private or share an anonymized version with the com