TaylorM492 · HN

InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim

@zeynepavann · X

Thank you to everyone who joined our "map your TAM from the terminal" session with last week. We built live in the terminal using Claude Code and the MCP. I wrote up the whole thing afterwards. The seven stages, why each one exists, what to do with the list once you have it, and the outreach half we covered at the end. The recording is linked inside. The skill is public too, so you can run it on your closed-won book. You bring your own accounts; the engine does the expansion, scoring, and contact-finding. Comment "TAM" and I'll send you both skill and guide.

@oaZsxer · X

Cheers mate. Built this.

ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站

@Phoenix_I_am · X

a fun project! It will make you happy trust me!

@IchMag17 · X

@BrianHumphrie11 · X

做了一个 AI 中转站，分享给有需要的朋友： 我做这个站，打开就能用，需要时能稳定使用，日常工作和学习里能帮上一点忙。 自己平时 Token 用得比较多所以干脆搭了一个中转站。 希望大家可以更方便地使用 GPT、Claude 等 AI 能力，也能根据自己的需求了解 API 和 Token 方案。

u/dooddyman · Reddit

I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

@RouteraOne · X

daily limits turning vibe coding into handless mode 😭 Routera gives you usage-based access to Claude, Codex, GPT and more, without daily or weekly caps, and it’s usually cheaper than stacking subscriptions

@radimhfer · X

i'm founder of Stashbase, designed to help builders

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

thfothijn · Product Hunt

OpzyAI Finds what your AI-built app leaks — your editor fixes it