ada1981 · HN

I built a web tool to see and edit what an AI thinks before it answers

zhiheng_huang · HN

Sharper – an AI office agent grounded in your knowledge, with citations

arshita_sharma · Product Hunt

CitedSpy Track your brand in ChatGPT, Claude, Perplexity and More

boringmarketer · GitHub

kimi-first Claude Code skill: Kimi types, Claude thinks & verifies — route implementation work-orders to the Kimi Code CLI (k3). A port of @steipete's codex-first (github.com/steipete/agent-scripts). By @boringmarketer · boringmarketing.com

NikhilVerma · HN

Slopsift – a local, graph-backed linter for AI writing

u/maybeImakemoney · Reddit

I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

Smart Match AI — 自定义条件和精度来匹配两列不同的数据，更加自由的 Excel lookup/vlookup

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

u/Successful_Draw4218 · Reddit

Our design platform reached 300K Google impressions, 5K organic clicks & ~1,900 users. We're testing a new monetization idea. Over the last few months, we've been building Inspo AI ( https://inspoai.io ), a platform where designers discover UI inspiration, AI-generated interfaces, and curated design resources. One thing we didn't expect was how well SEO would perform. Today we're roughly at: ~1,900 registered users 300K Google Search impressions 5K organic clicks Aro

Owl 猫头鹰 — 小红书公众号在线敏感词检测工具。我做了半年自媒体之后才发现需要规避平台敏感词，但是之前用的工具停服了，市面上其他的需要登录或者关注他们的公众号才可以使用，于是我 vibe coding 了一个敏感词检测工具，词库是根据网上找的，精简下来有 6 万多个。用了 cloudflare 的开发者穷鬼套餐，所以每人每天限制 10 次，主要是防止第三方调接口把额度耗完大家都没得用，应该对于

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