
Market Reports
@jacobAlswin Point and figure chart US stock https://t.co/LiS8OfbhKj
@neha041187 · X
Point and figure chart US stock
完整作品展
技术栈
60 projects

@jacobAlswin Point and figure chart US stock https://t.co/LiS8OfbhKj
@neha041187 · X
Point and figure chart US stock

AgList是一个用来查找和比较农业生物制品的独立平台。
@timnuss · X
Trust layer for agriculture

用自然语言查询电子表格和数据集,实时生成答案和报告。
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

管理学术机构中的教师数据、职级、晋升和教学工作量。
@FalhdirA · X
Check out what I just built with Lovable!

通过 auto-trade 平台追踪并复制影响者的交易策略。
@richman999x · X
我的自动跟单交易系统的网站上线了: 主要是用来记录和观察跟单的博主策略交易情况统计 现在已经在跑的主要是: 大镖客、三马哥、舒琴 另外新增了币圈所长、峰哥、颜驰,但这几个目前还在数据采集和准确率验证阶段,等稳定后才会开启模拟跟单。 网站现在大概有几个功能: 博主的交易记录分析(策略、复盘指标、资金曲线、交易明细等)、图表分析、博主维度表现对比,还有我自己的实盘交易数据。 其中有些功能如图表分析等,是参考了 @woaitaoershi 飞行员老师的那个顶级交易员实盘网站的思路,确实挺实用的。 说实话,我也不知道这玩意最后到底有没有用,先搞出来试试看吧。 最开始做它,就是想偷懒,搞个小账户自动跟单跑一跑,顺便积累数据,看看这些博主的策略到底谁更稳定、谁适合趋势、谁容易在震荡里翻车。 谁知道越做功能越多,越复杂了,前前后后一个多月了,现在 BUG 还不少,老是漏单,数据也还不够多,需要继续验证,所以先别把它当成熟产品,就当一个公开观察记录。 如果你觉得这个东西有点意思,或者对你有帮助,可以点个赞支持一下。 也欢迎留言推荐你觉得值得长期观察的交易博主,我后面可以慢慢加进去。 #自动交易 #跟单系统 #交易复盘 #AI交易 #程序化交易 #交易系统

LangevinAI 上传总账文件自动生成损益表和AI差异分析。
@VictorVDPN · X

在Kalshi天气预测市场中发现数据驱动的交易机会。
@WingGirlTrader · X
Because the edge is in trading weather markets. And the is a free tool that provides real edge almost daily in temperature bets. And it's FREE

上传客户数据预测流失风险,获得留存策略。
u/ajaysurya_ · Reddit
Looking for feedback Built Bayeso after realizing most churn prediction tools ignore small businesses. Looking for feedback. hey everyone, i've been working on bayeso ( https://bayeso.tech ), an ai platform built for businesses that don't have massive datasets. while building it, i kept running into the same problem. almost every churn prediction solution is designed for companies with thousands or even millions of customer records. if you're a small business with a few hundred customer

分析Reddit趋势、研究关键词、评分帖子。
u/hachishikiga · Reddit
You don't need LLMs for everything "Just ask (insert any LLM)" is crazy to me. I'm sure you've also seen it, if you go around the saas/entrepreneur subreddit space the most obvious tell is how EVERY homepage looks. Recently the trend has been terminal green with slight glowing elements, and slowly revealing features as you scroll down. This is a bigger issue than the scope of this post, but I will still plant the thought in your head: if everything comes from the same source (even more so if

分析客户摩擦点,获取优化建议以提高转化率。
@EnricoBoeker · X

通过每用户仪表板跟踪 Claude Code 的使用情况、成本和团队生产力。
ninomae · HN
Aimeterly – Per-user cost dashboards from Claude Code's built-in OTel

按航空公司、航线和月份浏览航班延误统计,比较准时率后再预订。
@BoardingMaybe · X