
Dreep — Media Infrastructure, Simplified.
Upload, store, and deliver media files through an API and dashboard.
@SOrjiude · X
Hey Peter, you can store those files here
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17 projects

Upload, store, and deliver media files through an API and dashboard.
@SOrjiude · X
Hey Peter, you can store those files here

Test and monitor APIs with real-time insights and load testing capabilities.
@SajidAbuba74138 · X
A tool for developers

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

Manage API keys and usage budgets for coding-agent workflows with request routing.
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

API to extract tables and structured data from documents for AI 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

Platform enabling AI agents to access 800+ OAuth-integrated services via sandboxed code execution.
abskrj · Product Hunt
Velane Cloud for your AI Agent's tools and functions

Access multiple AI language models through a unified API interface.
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

Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

Convert your OpenAPI specification into a hosted MCP server.
@bhshekhaliya · X

Access Reddit data via API with free credits for building AI agents.
@thread_snoop · X
Give you claude/codex free access to search through reddit :)

Access AI agents and SaaS microservices with flexible pay-as-you-go pricing.
u/Ordinary_Recover_755 · Reddit
The technical hurdles of building a "pay-as-you-go" AI model to avoid subscription fatigue Hey everyone, I’ve been tracking the ongoing debate around subscription fatigue. Most users don't want a $20/month commitment just to run a 5-minute code explanation or API analysis once a week. To solve this for myself, I spent the last few weeks building a hybrid microservice architecture using Next.js, Supabase, and the Claude API . I wanted to share a few technical and billing challenges I ra

Access 207+ AI models from different providers through a single unified API.
TaylorM492 · HN
InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim