金融商业4 days ago
Noema — AI Company Analysis
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
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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
将 basketball box scores 转换为专业球探报告的自动化工具。
@statlyanalytics · X
Turn basketball box scores into insights that win games.
快速创建群组投票，用滑动方式投票，无需登录。
@DrockStowe · X
For anyone who has a hard time with group decision making.
AI驱动虚拟数据室，帮助交易团队将散乱文档转化为引导性体验。
@Puneeeeeeet · X
We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for
上传 CSV 或 Excel 数据，获取 AI 驱动的洞察、图表和自动清洗。
@ajkbossp · X
Check out what I just built with Lovable!
Easyscale：搜索 X 账户、生成推介消息、追踪回复。
@denpoint1 · X
Find people on X who match your audience, then run outreach like Trello — from signal to DM to reply on one board.
Clearbox 实时监控 Reddit，发现商机和竞争信息
@shawntenam · X
Claude Code Daily... Version 3 is live. Just shipped a clean refresh of the daily landing page: tighter flow, better signal extraction, and a soft CTA at the bottom that points builders toward without being pushy. Last week I dropped the previous version straight into the Claude Code subreddit. Result? ~400 visitors, only 5 clickouts. That’s how i test and iterate on Reddit. never blast a direct product link. You share the actual value first. the blog post itself. and let the equal exchange do the work. If someone finds the daily brief useful and wants to go deeper (beyond basic scraping into real intent signals), the path is there naturally. No deception, just reciprocity. builder mindset in action: ship fast, measure honestly, refine in public. does V3 hit cleaner? Drop your thoughts below.
Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
用 Kitbase 跟踪事件、了解用户，快速发布产品。
@kitbasedev · X
We just launched, check us out at
在智能代理笔记本中构建、运行和评估机器学习工作流。
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
在浏览器中批量处理图片，支持工具链、本地AI和格式转换。
BulkPicTools — 免费浏览器端图片批量处理工具，支持**工具链串联**（压缩→转格式→裁剪一次完成，无需重复上传），本地 AI 去背景/人脸模糊（WebGPU，无需 API Key），支持 200+ 张图片批量处理，文件不上传服务器。
为 2-10 人寻找最公平的聚会地点，AI 推荐咖啡厅、餐厅等场所。
MeetSpot 聚点 — 多人聚会地点智能推荐工具，输入 2-10 人地址，用球面几何算法计算公平中点，AI 评分推荐附近高评分场所，覆盖 350+ 城市，免费使用无需注册。