金融商业2 weeks ago
Aestus Value Lab 0.1.0-beta.100 · Prediction Market Research Terminal
预测市场研究终端，实时分析市场数据。
@AestusValueLab · X
Bloomberg for prediction markets
完整作品展
技术栈
23 projects
预测市场研究终端，实时分析市场数据。
@AestusValueLab · X
Bloomberg for prediction markets
上传论文和科研项目，识别方法论漏洞、论证薄弱和引文缺陷。
@Havey1001 · X
公共数据被研究得多，并不等于没有创新。更关键的是问题设定、识别策略、机制解释，以及同类结论和引用证据链是否已被覆盖。投稿前先系统比对公开论文、专利和既有技术路线，能少走不少弯路。我们做了一个投稿前风险预审工具，专门把这些重合与薄弱点提前摊开：
Acubic is a quant AI agent for investing. It screens assets, builds portfolios under your constraints, and monitors them through a broker connection.
@andrecmendes_ · X
Build Your AI Investing Agent at
获取基于规则的每日比特币交易信号。
@XBTQUANT · X
Feedback would be cool
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.
用算法分析和链上情报为加密交易提供量化洞察。
@luxquantcrypto · X
与AI agents协作研究数学和科学问题，在公开账本中追踪贡献。
KrishnaMadala · HN
ZeroThesis – Multiplayer Autoresearch with Agents
Knotulus：根据创始人行为分析与投资者进行智能匹配
@enoch_fyw · X
MBTI for founders, connect with Investors the fun way!
AI 研究代理分析公开市场，提供收益警报并总结 SEC 文件（附引用源）。
oceanplexian · HN
I Built OpenClaw for Stocks
用 RAG 技术研究调查最新的诈骗骗局。
u/King_Kazma · Reddit
whatsthegrift.com - a RAG research tool for today's grifters every day i feel like there's a new grift attached with some news article, which naturally birthed the idea to built something to investigate & visualize them examples: https://whatsthegrift.com/q/777063a64e512565 https://whatsthegrift.com/q/e5945d20375ed3ff and my personal favorite so far: https://whatsthegrift.com/q/f43eb30a15342d53 react (vite) + node (fastify) + brave search (retrieval) + claude haiku (extraction)
根据提示词自动生成带真实引用的完整学术论文。
@fedeponte1 · X
my first saas. i think i built something people actually want and completely failed at the business side. would genuinely love help. openpaper ( writes full, cited research papers from a prompt. research, outline, writing, real citations, export. the honest numbers: - ~2,300 signups - ~1,500 generated a full paper. people actually use it. - ~5 have ever paid. ~$45/mo. activation is great, revenue is basically zero. i've been staring at this for weeks. the paywall is on export (pay ~$12 to download the pdf). but the full cited paper is right there on screen, free, you can read it and copy-paste it. so i'm charging for the gift wrap after handing over the gift. almost nobody even reaches checkout. 76% generate exactly one paper and leave. one-and-done, so subscriptions make no sense. the audience is mostly students and researchers on personal gmail, all over the world, almost none on university or company emails. traffic is x and github. so i genuinely can't tell