@emanueldev4 · X

Building Preflight a simple way to catch issues before your website goes live.

bingus-bongo · HN

Use GLM-5.3 in Cursor today via tokengo API

@polsia · X

Vibe-coded apps ship by lunch, leak credentials by dinner. Patchmind opens the PR before the founder posts 'just shipped.'

u/Capital-Top3289 · Reddit

I built a spreadsheet where every column is an AI agent (research, scrape, or API) — looking for feedback I got tired of pasting the same 50 company names into ChatGPT one by one, then copying websites / CEOs / LinkedIn URLs back into Excel. So I built MySheets: it looks like a spreadsheet, but each column can be: an AI prompt that runs row by row a web scrape an HTTP API call Columns can read previous cells, so you chain: name → website → product summary → CEO → LinkedIn. You

epigos · HN

PingChange – monitor web pages and OpenAPI specs for meaningful changes

garrytan · Product Hunt

Click Live research context for ChatGPT and Claude

u/bundlesocial · Reddit

A Fiverr animator ghosted us, so we made this product animation with 3 prompts and one HTML file We originally hired someone on Fiverr to create a product animation for bundle.social , the social media API we’ve been building for the past few years. Then they stopped replying. So instead of waiting, we tried building the first version ourselves. The video attached to this post was created from a self-contained HTML file in roughly 40 minutes, including a tea break. FYI, R

@Otogent · X

roguetink · Product Hunt

MonoCloud for Startups One identity layer for your customers, APIs, and agents

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/yousefemz · Reddit

18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,

@SouravDaaa · X

- End to end personalised memory retrieval in 10ms. Would love some feedback here