@sublimeartsio · X

@lologfts · X

built Apiarium, with one api key you can choose multiple Ai models, easy integration

@agentsky_dev · X

Built for agents, not just models. AgentSky is live: one API to run Claude Code, Codex, DeepSeek, Kimi, OpenCode, and more in the cloud. Connect your real tools, then compare time, cost, and tokens side by side in Agent Playground. Try it:

@Awais_209 · X

Claude Opus 4.8, GPT-5.5 & GLM-5.2 for free. Get $25/day in credits. No trial or waitlist. One API key works with Claude Code, Cline, Cursor, Roo & OpenAI-compatible tools. Try it: #FreeTier #ClaudeAPI #CodingTools @AgentRouter_0

jallmann · HN

> want without a PR process that requires hardware authentication or proof of presence Just curious, what do you use for this? I built OTP Guard [1] a few years ago for exactly this problem, although I haven't seen any alternatives in the space. Does GitHub have something built-in now? The original framing was more "local malware compromising your GitHub account" ... it never occurred to me that the malware could be a LLM. I really should update the page. [1] https://otpguard.com

u/JanJanJaJa · Reddit

Give your AI agent a @yourcompany address. Shipped the domain part this week and it's free We've been building email for AI agents. The idea is that an agent gets a real inbox, not a webhook, so it can receive things and answer in thread like anyone else on your team. The piece that was missing until this week was the address itself. Every agent lived on our domain, which is fine for a demo and wrong for anything real, because a domain where anyone can grab a free address in ten seconds loo

benjamin_jorgensen1 · Product Hunt

Constellation Gate AI Prompt injection and token savings - #1 in benchmarks

@amifideles_ · X

Built SendAPI, solving the complexity of managing multiple messaging providers by bringing WhatsApp, SMS, OTPs, and transactional emails into one API. Built for developers and startups.

@vernroq · X

I made a receipt parser api:

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

@Sammy_Digits · X

@sachinbapure · X