
Axiom: The 1st Social Platform for Logically Valid Reasoning
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
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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

在推理时为 AI 代理注入工程化认知能力。
@frank_brsrk · X
reasoning tools for ai agents

使用加密思维签名解密 Claude Sonnet 5 的隐藏推理。
bayes-song · HN
Unlock Claude Sonnet 5's original reasoning

查询实时加密货币价格、大户活动、DeFi TVL 和质押收益数据。
matrixnk · Product Hunt
ChainPulse Agentic mediator for Crypto Intel

在共享层中记录产品决策、背景和推理,团队不会遗忘决策背后的原因。
@TimEngng · X
Stop losing the "why" behind product decisions -

为企业员工提供智慧孪生AI助手,保存机构知识和判断力。
@romanbodnarchuk · X
Check out what I just built with Lovable!

为LLM输出提供token级引文API,通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

IntelligenceMax 通过自适应谜题训练推理能力。
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]

为1-10年级儿童设计的测验平台,提供交互式学习体验。
@lodha13 · X
Checkout below apps Hisabarabar (Play Store)

通过真实的Wikidata关系连接任意两个主题的知识图谱游戏。
u/hyperschlauer · Reddit
I built a free knowledge-graph game where every move follows a real Wikidata relationship I’m building Webwoven for OpenAI Build Week, and the beta is now live: https://www.webwoven.org It’s inspired by Wikipedia hopping: you start with one topic and try to reach a target in as few moves as possible. Every move follows a real relationship from a reviewed Wikidata graph. The game therefore shows why two topics are connected instead of treating ordinary page links as paths. Webwoven curr

Evidence-backed RFP qualification and traceable compliance matrix for U.S. professional-services firms, consultants, nonprofits, and grant teams.
@DarnleyW96447 · X

分析Reddit和GitHub讨论为产品决策生成客户洞察的AI平台。
@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.