
DebateIt · Debate practice, judged live.
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.
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20 projects

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.

AI评分和抄袭检测工具,支持评分标准和成果导向教学。
@ProfDeskApp · X
Let's connect. Building giving teachers their night back.

管理学术会议:提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

向多个前沿大模型提问,获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

在Second Mind中保存书签、视频和笔记,AI知识库会总结内容并关联想法。
@vhm205 · X
Too many news articles, too many bookmarks, too many notes, but I never open them again because I don't know where to find them

与 AI 招聘官练习面试,获得实时反馈。
BenGallagh · HN
AI mock interview tool that scores your answers – free, no signup

用AI验证创业想法,提供市场研究、竞争分析和可行性评分。
@xpertvex · X
Building A platform to validate your startup idea with AI before you build it.

自动对客户反馈提交进行评分、标记和去重。
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.

AI 研究代理分析公开市场,提供收益警报并总结 SEC 文件(附引用源)。
oceanplexian · HN
I Built OpenClaw for Stocks

将学术论文和草图转化为发表就绪的研究图表。

ColabWize 审计学术引用并验证作者身份,证明学术工作的真实性。
@clawncore · X

在对等网络上构建和运行AI工作流的去中心化操作系统。
@Economy_V1 · X
AI workflows for the rest of us. Built on Bitcoin. Building cloudless at