@islamtaha · X

@jitendraballa · X

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

ent101 · HN

The Safe, Production-Ready Backend for AI-Generated Apps

DustinPham12 · HN

1endpoint – Cheaper access to AI models

@MyApiTaco · X

GLM 5.3 Flash is now on 🌮⚡ Limited-time promotion: 66.6% OFF retail • Input: $0.05 (retail $0.15) • Cache Input: $0.01 (retail $0.03) • Output: $0.167 (retail $0.50) Plus, get an extra 5% bonus on topups over $100. #GLM #zAI #openrouter #vibecoding

@lologfts · X

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

tahazsh · HN

Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

@kagelogic · X

Your agent is only as good as the data it can reach. Vibe-coded wrappers die at 2am when the public API rate-limits. Exclusive MCPs keep your app alive with real quotas. sub-10ms edge. Uncapped. Pay-as-you-go. — Free credits, no card →

@mascot75572 · X

Hey I’m building with this you get n8n workflows deployed in click without any technical setups, plus u get a technical overview, setup and break down of any JSON workflow, and also client handoffs from uploaded workflows also u get markdown/txt files to pdf/word docs, I also built seltechai local n8n install which is completely offline, it helps set up ur machine and installs n8n locally in your computer for those who want to selfhost it only available on windows, on my cloud plan starts at $9 with 3 days free trial

u/OGMYT · Reddit

Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte

@MahatiSingh · X