
Football Trading Software & Workspace · FootyMonitor
用压力图表分析足球市场,回测和优化投注策略。
@KSertttttttt · X
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用压力图表分析足球市场,回测和优化投注策略。
@KSertttttttt · X

用英文描述加密交易策略来回测它们。
@torquant · X
building Torquant. you build and backtest trading/investment strategies using only natural languange

SeeBet.ai:查看NFL博彩赔率、盘口变动和十年回测数据的分析工具。
u/sebriz · Reddit
I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market

创建模拟投资组合,进行策略回测和AI市场分析。
策引 — 全球市场技术分析工具,可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能,可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

用Python或可视块构建交易机器人,进行回测并参与排行榜竞争,无需真金白银。
@CodeBullapp · X
Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.

根据已发布的代理标准评判AI产品,包含可检查证据和社区投票。
@katyorby · X
i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.

BattleTester 用 AI 自动扫描 Web 应用安全漏洞并生成修复建议。
@OvadiaYove9462 · X
Too many security issues in vibe coded apps, so I built Automatic AI pentester, crawls and scans your site, runs a full suite of exploit tests, and uses AI to verify each one (cuts false positives) Full report, dashboard, and AI-ready fix instructions

VITALOOP helps you make sense of symptoms, lab results, biomarker patterns, safety context, retests, and progress over time with AI.
@AlekseyBombela · X

为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

在3-6分钟内评估背调风险等级,无需提供个人信息。
@krichnec · X
> 拿到 Offer 后,最容易出问题的可能不是面试,而是背调:任职日期、合并经历、联系人身份、薪资口径、离职原因,任一重大不实都 > 可能触发红灯。 > 我做了一个匿名背调风险自测工具:3–6 分钟,不填姓名、身份证,不上传材料,按最高风险项判断等级。 自测:

QuizPortal helps educators create secure online quizzes with automated grading, deep analytics, proctoring, and seamless student management.
@quizportalinc · X

用AI批量筛选简历并生成排序清单和评分解释的工具。
u/Loud-Arm505 · Reddit
I built a AI resume screening for recruiters, please give me your feedback on it Built an AI resume screener that explains its scoring instead of a black box, tear it apart Been building this for a few weeks: recruiters can bulk-screen resumes and get a ranked list, but every score comes with an explanation of why + a bias-aware summary, instead of just a mystery number. Also generates interview questions per candidate. I built this because I saw the high number of job seekers and so it cou