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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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~
RequestHarbor 安全客户门户，用于共享文件、答案和批准，实时可见状态。
@danielkleach · X
is a branded client portal for files, answers, sign-offs, and signatures. No more scattered email threads, docs in Google Drive, or confusion about who is waiting for whom. Business and client both see what is done and what is in progress on both sides, in
在浏览器中使用免费加权决策矩阵做出复杂决策。
@bjoern_live · X
Make complex decisions easy.
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
使用 Axiom 通过逻辑推理完善想法并发布到社区。
samcymbaluk · HN
Axiom toolkit – Make your ideas precise enough to be proven wrong
通过AI评估验证知识并获得Academission认证。
@syprayt · X
We are building platform to verify user knowledge using AI, so you can avoid boring lectures and save years of life. It’s Academission baby. Yesterday we launched online mode, so that everyone could test our technology, here is the link:
搜索医疗诊所以验证其具体医疗技术、设备和治疗等级，在付款前做出明智决定。
@maximiliananth · X
使用开源浏览器工具分析象棋游戏，获得自然语言解释，无需登录。
u/ICARUS_2X · Reddit
Spent 7 months building a FOSS platform for natural-language chess analytics (No LLM) Hey guys, I've released CHONSE2, an open-source game review platform that offers unlimited analysis and move explanations without using hallucination-prone LLMs, running entirely in your browser. chonse2.com But Lichess is free, so why use this? Some have asked. It expands on Lichess's feature set a few different ways: Full analysis (accuracy/elo estimations/eval graphs, etc) requir
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
搜索实验室报告数据库,验证产品的纯度和成分。
@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.
