
Make better decisions – free weighted decision matrix | Decidit
在浏览器中使用免费加权决策矩阵做出复杂决策。
@bjoern_live · X
Make complex decisions easy.
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在浏览器中使用免费加权决策矩阵做出复杂决策。
@bjoern_live · X
Make complex decisions easy.

用AI分析利弊、对比和SWOT制定更好决策。
angel_villanueva2 · Product Hunt
DECIDE Solve hard dilemmas with AI & decision logic

在共享层中记录产品决策、背景和推理,团队不会遗忘决策背后的原因。
@TimEngng · X
Stop losing the "why" behind product decisions -

根据情绪追踪和行为分析为交易生成AI决策评分。
@eialgos · X
AI/ML builder here 👋 I'm building EI ALGOS, a Decision Intelligence platform that combines machine learning, behavioral analytics, options analysis, and technical evaluation to help traders make higher-quality decisions. Visit us at Happy to connect with other founders and builders.

输入项目简报生成风险、问题、架构和时程的对齐报告。
@GroundedIQ · X
GroundedIQ exists to close the gap between what a client asks for and what actually gets built. That gap is where projects bleed — in change orders, blown timelines, and the slow erosion of trust between a consulting team and the people who hired them.

为团队创建加权评分卡,做出和防守B2B决策,无需注册。
u/One-Relationship4349 · Reddit
Built a tool that turns messy decisions into defensible, weighted scorecards I kept running into the same problem: needing to make an important decision between multiple options, then having to present that decision formally. Spreadsheets held the numbers but produced nothing presentable. AI recommendations were fast but not reliably accurate enough to actually stake a decision on. So I built Claritrix — you set your own criteria and weights, score each option, and get an instant ranked res

从 PDF 自动提取结构化数据,用于工作流自动化。
u/yonnnyy · Reddit
How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this

DEBRIEF turns spoken customer, project, inspection and HR debriefs into structured reports, tasks, contacts, PDFs, DOCX files and HubSpot updates.
@braunprinz · X

搜索600M+财务数据点,包括基础面、申报和转录稿,覆盖2900多家公司。
u/SnowSilent7695 · Reddit
Got my first 60 signups through Reddit and want to continue the momentum I've gotten my first 60 signups through Reddit over two months and feel like I have a good thing going. I'm positioning my app as the Bloomberg Terminal for Everyday Investors where you can search over 600M+ financial datapoints in Claude, ChatGPT, or with your own AI Agent at an affordable price. There are other competitors trying to do something similar, but to my knowledge, they seem to be focused on specific us

文档解析 API,准确提取表格、公式和结构化数据给 AI 代理。
g418572664 · V2EX
做了一个文档解析与记忆工具,专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的,就像大佬们说的,“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ,说要用 AI 赋能传统行业啥的,代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子,金融行业的“智能审计与尽调 Agent”。 过去,银行或投资机构想要给一家企业贷款或投资,需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ,但把文件一股脑全丢给它是不现实的,且不说烧 token 的问题,这些文档里有无数的跨行、跨列单元格表格,普通工具一拉,表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块,那得出的财务分析就完蛋了。 所以,现在要真想开发出一个能干活,还确保正确率的 agent ,就需要一个专业的、AI-native 的解析工具,把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的: https://knowhereto.ai/?utm_source=v2ex 它能把复

从多个平台收集和分析反馈到一个仪表板。
@GeorgiG26929167 · X
Remarkd lets you create a feedback page for anything—ideas, landing pages, designs, pricing, features or prototypes. Share one link anywhere and collect structured, anonymous feedback in one place, with AI-powered insights to help you spot patterns faster

Supplier and customer relationships pulled from SEC filings, with the source sentence behind every tie. Earnings dates, market-implied expected moves, options positioning and ETF e
Varamir
Bloomberg charges hedge funds $25k/year to see who actually supplies who. Varamir does it free. →