
AI Grading, Similarity Detection, Rubrics & OBE for Teachers · ProfDesk
AI批改作业、检测相似度的教师工具,支持学习成果评估。
@ProfDeskApp · X
Let's connect. Building giving teachers their night back.
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AI批改作业、检测相似度的教师工具,支持学习成果评估。
@ProfDeskApp · X
Let's connect. Building giving teachers their night back.

上传图表截图获取AI技术分析,识别支撑位、阻力位、趋势和形态。
@sreebuildss · X

用 AI 生成独特的公司和产品名称,同时查找匹配的域名和 Logo。
有名 — 用 AI 取好名字的网站,找到独特、易于品牌化的名称

Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

社交化AI数学平台,用于解决和协作数学问题。
lemma1729 · HN
Hi HN, This is ProofTree, and in TLDR: it is a platform where you can chat with an AI to do math, the way you already do, with context-awareness and knows how you personally do math, connected to the fora of other live human mathematicians. So, when you are talking to an AI about a proof at 3 am, and you need a human expert looking at it, or a discussion around it, like you do on StackExchange, this is it! You need an approved email account to use it, so please write here if you would live to try it out.

与 AI Story Agent 对话生成个性化儿童绘本和精美插图。
4M · V2EX
花一天做了一个儿童绘本的 agent,以后自家小孩想看故事书一键生成。人人都可以做 Agent 的时代! 很多家里有小孩的,给小孩会买各种各样的儿童绘本,但是市面上儿童绘本千篇一律,小孩看来看去就那几本,都看腻了,想着自己开发了生成儿童绘本的 agent ,有什么想法和需求和 agent 沟通,沟通几句话就搞定,不需要专业的提示词,可以根据自家小孩喜好通过 agent 私人定制一个儿童绘本。需要的自取: https://aistorybook.art/ 。

通过检测购买信号在 Reddit 和 X 上寻找客户,自动生成回复草稿。
@sudhirk_mehto · X

将照片转换为 AI 定制玩偶
AI Doll Generator — 使用 AI 技术将人像转成玩具盒子风格!

用AI分析和追踪竞争对手的策略和动向
@NateDenisal · X
Working on a competitor intelligence platform,

Convertize AI 自动发现合适的客户并预约销售电话,无需手动跟进。
@abhishek_gadhia · X

按职业场景语义搜索 AI Skills,保存收藏集,一键装入 Claude Code。
SkillForge — Claude Skill 发现与分发平台,按职业场景组织 5700+ skill 覆盖 30 个垂直领域,一行命令装到 Claude Code / Cursor,登录后可留存自己的工具集

用自然语言问题查询电子表格和数据集,生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav