
WisdomTwin.ai — The Institutional Judgment Layer for the Enterprise
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!
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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!

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

AI驱动的辩论竞技平台,参与竞争辩论并获得论证技能评分。
u/Bakari2Sense · Reddit
Built a persistent skill rating for debate, like a chess rating but for argumentation I built a persistent skill profile for debate called the Debate Fingerprint. Would love feedback. [Founder disclosure: I'm Bakari, building 2Sense at app.2sense.ai] The idea: every debate you complete scores you across 6 dimensions (Logic, Structure, Responsiveness, Persuasion, Emotional Control, Clarity) on a 0-1000 scale. The scores persist across all your debates and build a visual profile over time

提交任何决策给五位AI顾问进行辩论,获取综合建议并记录结果。
@yaseenvalji · X
built this in a couple hours with Claude Code on Fable 5 ultracode. any hard decision goes to a board of 5 AI advisors: they debate live, a Chair calls it, and it remembers the outcome. open source, on the Claude API. @AnthropicAI

通过统一 API 层将网站与多个 AI 系统集成。
@rofarkas · X

使用 FRAI 扫描网站中的 AI 使用情况,并测试聊天机器人的偏差和安全性。
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff

用AI分析股票,获得投资组合优化建议和实时提醒。
@AMaxim62228 · X
Check out what I just built with Lovable!

机构级金融数据API,专为AI和开发者优化。
u/wisesheets · Reddit
Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy

通过多个AI投资顾问的辩论获取股票分析。
hobbescotch · HN
Noema – AI personas debate US listed stocks

上传 CAS PDF 获取 AI 驱动的基金组合分析和配置洞见。
@iASHeeesh · X


在多种格式中与AI进行实时辩论练习,获得性能反馈。
@prof_safezone · X
Gambling on debate rounds with AI judges.