
APIStreamer
APIStreamer helps teams build modern applications, launch APIs, operate teams, and connect companion apps from the same foundation.
@APIStreamer · X
完整作品展
技术栈
23 projects

APIStreamer helps teams build modern applications, launch APIs, operate teams, and connect companion apps from the same foundation.
@APIStreamer · X

通过统一的 API 接口访问多个 AI 语言模型。
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil

通过 Python SDK、CLI 或 MCP 草稿、发布和排期 Substack 文章,无需浏览器。
bigmuzzy · HN
The Posting Substack API

Describe an API in plain language — it's running in two minutes.
@apinido_dev · X

测试和监控 API,获取实时洞察和进行负载测试。
@SajidAbuba74138 · X
A tool for developers

一个 API 密钥接入顶级 AI 模型,生成视频、图像和语音。
jking413 · HN
Prizm – One API key for every top AI video, image and voice model

通过 ThreadSnoop API 访问 Reddit 数据,为 AI 代理开发提供免费积分。
@thread_snoop · X
Give you claude/codex free access to search through reddit :)

统一API从44个社交媒体平台提取数据
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

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

通过智能缓存、模型路由和提示压缩来降低AI API成本。
@PrathamGup34482 · X
Day 1 of building in public. TokenSave: a proxy that automatically reduces AI API costs — caching, model routing, compression. Up to 40% savings, zero code changes. 0 users. 0 revenue. Just shipped the MVP. Gonna share the real numbers every week here.

为代码智能体工作流管理 API 密钥和使用预算。
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to
