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Tlines - bank research, distilled into plain language, with receipts

I read a lot of bank research for my own trading, and I kept running into the same problem: it's scattered across dozens of banks, written in jargon, and you can never tell whether a view is one bank's hot take or something most of the street actually agrees on. So I built Tlines — an information aggregator for institutional research. Tlines distills institutional research into plain language: A research stream of 2,128 traceable reports from banks like Natixis, Saxo, Westpac, SocGen, B

五维评分

付费意愿
42
需求真实度
45
个人可落地
78
竞争空间
40
新鲜度
70

AI 分析

痛点:机构研报分散在数十家银行、术语密集,导致交易者难以判断某个观点是孤立的一家之言,还是市场普遍共识

目标用户:自营交易的散户、独立交易员以及小型投资研究人员

证据:I read a lot of bank research for my own trading, and I kept running into the same problem: it's scattered across dozens of banks, written in jargon, and you can never tell whether a view is one bank's hot take or something most of the street actually agrees on.

变现:采用订阅制,分为免费层和付费层,按月或按年收费;可向交易员提供付费 newsletter,并按 MCP 和 API 调用量计费

MVP:抓取公开可溯源的银行研报,用 LLM 提炼成通俗语言,按资产、机构、主题分类,统计各机构观点以显示共识度,并提供简易 REST 和 MCP 接口供 agent 查询;2 周内可做出核心聚合+共识追踪

竞品:Bloomberg、AlphaSense、Smartkarma、StreetAccount、Research Recap

摘要:作者为自己交易时阅读研报不便而开发了 Tlines,把银行研报提炼成通俗语言并提供溯源,已收录 2,128 份可追踪报告,覆盖 Natixis、Saxo、Westpac、SocGen 等机构,并提供 5 个 MCP 工具供 AI agent 查询。产品还提供共识追踪:例如通胀方面有 21 家机构、326 条观点,以区分孤例与市场共识。帖子未提及收入或明确付费意愿,需求仍以作者个人痛点为主。