金融商业1 week ago
Basis — Trade on proof
使用历史股票数据回测交易策略。
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉
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使用历史股票数据回测交易策略。
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉
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
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。
分析TikTok视频在你的基线和细分市场中的表现,发现爆款内容格式。
@AnthonyCasauria · X
no human touched these — ViralVault's blog just shipped 2 more posts on autopilot. imaged, quality-checked, and published by the pipeline itself. 100-article backlog, chipping away. check it out → @viralvaultapp #buildinpublic #solofounder
通过 AI 语音对话练习逼真的技术面试，获得即时反馈和性能评分。
@abhisricodes · X
Built InterviewIQ to help jobseekers practice realistic AI-powered mock interviews before the real thing. Get instant feedback on communication, technical answers, and confidence. Looking for early users.
根据公众讨论验证产品创意，获得开发、调整或转向的决策。
@_sunbo · X
I built ProductIdeaScout to help founders validate product ideas before they start building:
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.
被拒了，不知道为什么？PortLume AI 为你逐轮分析到底哪里出了问题——还提供 AI 模拟面试和真实公司薪资与面试资讯。
@dev_adarsh286 · X
PortLume AI - Findout exactly why you got rejected then get hired next time
用AI发现高价值SEO关键词并超越竞争对手Google排名。
u/Time-Antelope5806 · Reddit
I don't think the AI model matters anymore for frontend design Launched my new SaaS, and guess what? I designed the frontend using Google Gemini 3.1 Pro. For me, the design turned out pretty good, even though a lot of people say Gemini isn't great for UI design. It made me realize something: I don't think it really matters which AI model you use anymore. I think it's all about your taste. Every major AI model is good enough now—the difference is how you guide it and how well you can tell wh
免费的 API 测试、监控和分析平台，提供实时洞察。
@SajidAbuba74138 · X
A tool for developers
Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models