Sudo AI
Sudo — AI monetization infrastructure for developers 4 months ago, I kept running into the same problem building AI products: inference is expensive, subscriptions are blunt, and ads weren’t designed for generated content. So I started working on Sudo, an infrastructure layer that makes it easier to launch and monetize AI apps. ⸻ Key features (in beta now): • One API to route across top models (no vendor lock-in) • Real-time metering & billing (usage-based, subscriptions, or hybrid) • Optional AI-native ads — contextual, developer-defined, and personalized • Dashboard for tracking usage,…
Sudo AI launched on September 18, 2025 with 265 votes, #99 of 8,160 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Sudo AI is a unified API platform that routes requests across multiple large language models including OpenAI, Anthropic, and Gemini. Designed for developers, it provides a single endpoint to optimize latency, throughput, and costs while avoiding vendor lock-in. The platform handles routing, context management, and monetization across different LLM providers, enabling teams to build and scale applications more efficiently.
written from the facts on this page · September 2026
From the sources
Sudo is a unified API for LLMs — the faster, cheaper way to route across OpenAI, Anthropic, Gemini, and more. One endpoint for lower latency, higher throughput, and lower costs than alternatives. Build smarter, scale faster, and do so with zero lock-in
Sudo is a one-stop monetization platform for AI developers. Turn every API call, AI generation, or user interaction into revenue—no heavy-lifting required.
Connect to GPT-4, Claude, or open-source LLMs through a single endpoint—no more juggling multiple providers. With a few lines of code, access AI routing for text, image, and audio generation from our wide list of providedfrom sudoapp.dev
In the maker’s words, at launch
Sudo — AI monetization infrastructure for developers 4 months ago, I kept running into the same problem building AI products: inference is expensive, subscriptions are blunt, and ads weren’t designed for generated content. So I started working on Sudo, an infrastructure layer that makes it easier to launch and…
Does a similar job
all alternatives →


Arch2024 · github.com · ▲314Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…
TensorZero2025 · github.com · ▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
ServerlessAI – Build, scale, and monetize AI apps without back end2024 · serverlessai.dev · ▲86Hello HN, I’ve always loved building frontend-only apps—those you can prototype over a weekend, host for free on GitHub Pages, and scale to millions of users. Unfortunately, AI-enabled apps complicate things, as exposing your OpenAI key to the world is obviously a no-go. This also means mobile developers often have to run their own servers. That’s why I built ServerlessAI, an API gateway that lets you securely call multiple AI providers directly from client side using OpenAI-compatible APIs. You can authenticate users through any identity provider, like Google or Apple, and set per-user…
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Product Hunt launch ↗ · launch text quoted in part
Launched alongside, September 2025
the whole month →

The site hit #1 on HN about a year ago. Got enough traffic that I turned it into a proper API. What's there: - REST API — 35k products, manually filterable by category, free key, 60 req/min - CLI — npx anycrap random -c food - faker.js plugin — bundled, no API call, works offline - HuggingFace dataset — full 35k rows for ML/training https://anycrap.shop/developers
AI · 2025 · anycrap.shop

I made a built-from scratch Wayland Compositor to display any GUI app* in the terminal! I think there is a lot of unexplored potential in custom Wayland compositors, a lot of really cool things you can embed existing applications into! So, I started with embedding apps into the terminal because that is the easiest input/output (output is just utf-8 and I use the great `chafa` library for that, and I just read from stdin for the input). If you have any other ideas for cool Wayland compositors, let me know. I purposedly wrote 80% the app in Typescript to appeal to the most developers and…
Dev tools · 2025 · github.com
- IR
Years ago I stumbled across a basic version of this concept and it stuck with me. I knew if I was ever going to take on such a project, it would need to be flawless, but without coding experience it was just another idea that would never happen. By the end of 2024, as AI coding tools exploded everywhere, I finally had a way to make it real. I started from zero knowledge and spent months collaborating with AI agents as a learning experience. Every pixel and every function went through me. The AI translated what I asked for into code, but every decision was human. I didn't use existing OS…
AI · 2025 · mitchivin.com

