开发者工具3 weeks ago
Spectr - Your meetings, straight to the backlog
将会议转换为 Linear 或 Shortcut 的规格说明和用户故事。
@tryspectr · X
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将会议转换为 Linear 或 Shortcut 的规格说明和用户故事。
@tryspectr · X
提交你的项目以获得创始人和测试者的结构化反馈。
@martin_sllz · X
New founder just shipped a project on Small number, but every one is a real person who chose to get honest feedback instead of "looks great". Building this one roast at a time. #buildinpublic
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 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
使用前端AI将语音输入转换为结构化数据的表单。
pankajunk · HN
Talkform.org, Turn voice inputs into structured data using front end AI
AcruxCore is an LLM-ops platform for engineering teams: version prompts, route LLM calls through an OpenAI-compatible gateway, trace every request, catalog tools, and evaluate qual
@AcruxCore · X
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.
AI驱动虚拟数据室，帮助交易团队将散乱文档转化为引导性体验。
@Puneeeeeeet · X
We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for
KODIER ENTERPRISE：跟踪日常现金、收入、支出、子女费用和员工工资的月度年度汇总。
@kobinardst2dio · X
Check out what I just built with Lovable!
从 PDF 文档直接提取结构化数据，无需上传。
@MitanshDevNew · X
just shipped DataDrop — extract data from messy PDFs without uploading anywhere. everything runs in your browser. free to try, $10/mo for unlimited. #BuildInPublic
分析 GitHub 账户获取评分、徽章、编程语言分布和评价。
@w3ziqv · X
built GitScore — analyzes your GitHub activity and gives you a score from 0 to 1000+ based on commits, stars, impact, and global rank still early, would love brutal feedback