Airbolt AI
Hi HN! We love the "backend-less" stack: Stripe for payments, Supabase for data, Clerk for auth. But the moment we add AI features, we're forced to spin up a backend to hide API keys, implement per-user token-based rate limits and graceful degradation, etc. So we built Airbolt. What it does: Drop in our SDK and start making OpenAI calls directly from your frontend. Your keys are AES-256-GCM encrypted on our servers, never exposed to the client. We provide token-based per-user rate limits and origin allow lists to address inference abuse. Short-lived JWTs and bring-your-own-auth are coming…
Airbolt AI launched on September 19, 2025 with 79 votes, #377 of 8,160 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Airbolt lets you securely call LLM APIs with zero backend. Just add our client SDK to your app and start making inference calls with best practices built in.
Airbolt is the simplest way to integrate AI into your app—no backend required. Works with OpenAI, Anthropic, Google Gemini and more.
Airbolt is the only way to integrate AI into your app with zero backend code . import { ChatInterface } from '@airbolt/sdk/react' ; function App () { return ( < ChatInterface projectId = "proj_your_project_id" /> ); } That's It. Really. Get your AI app running in a few simple steps. No complex infrastructure or backend code required. Sign up, create a project, and add your provider API keys. No credit card required. Install with your favorite package manager and initialize the SDK with only a few lines of code. Make your first API call in minutes. Toggle LLM settings in the dashboard with just a few clicks. Everything you need to integrate AI into your applications, without the complexity.…from airbolt.ai
In the maker’s words, at launch
Hi HN! We love the "backend-less" stack: Stripe for payments, Supabase for data, Clerk for auth. But the moment we add AI features, we're forced to spin up a backend to hide API keys, implement per-user token-based rate limits and graceful degradation, etc. So we built Airbolt. What it does: Drop in our SDK and start…
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Autumn2025 · useautumn.com · ▲719If you’re on tech twitter you may have noticed an increasing dissent with Stripe and it’s DX. t3.gg (Theo) summarizes it best: “IMO, the biggest issue with Stripe is the "split brain" it inherently introduces to your code base. When a customer checks out, the "state of the purchase" is in Stripe. You're then expected to track the purchase in your own database via webhooks. There are over 258 event types. It's far too easy to have a payment be failed in stripe and "subscribed" in your app.” We've built an OSS abstraction to build any pricing model 1 line of code. The idea is a layer over…

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…
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TermlyNov 2025 · termly.dev · ▲82Hey HN! I'm one of the developers of Termly. Problem: I love using Claude Code for development, but being chained to my laptop all day wasn't working. SSH + terminal emulators felt clunky for interactive AI coding sessions. Solution: Built a WebSocket relay that mirrors your AI coding session to mobile with zero-knowledge E2E encryption. How it works: 1. npm install -g @termly-dev/cli 2. termly start (wraps your AI tool) 3. Scan QR code with mobile app 4. Your session syncs in real-time, encrypted end-to-end Tech stack: • Open source CLI (MIT licensed) - inspect the code yourself •…
Superflows – open-source AI Copilot for SaaS products2023 · github.com · ▲37Henry, Matt and James here – we’re building an open source toolkit that makes it easy to integrate an LLM-powered copilot that talks to your API into software products. It works by calling API endpoints which you choose to expose to it. This lets the chatbot complete tasks within your software in response to natural language queries. It’s also open source, so you don’t have to send user data to another 3rd party. We support Llama 2, but we haven’t fine-tuned Llama 2 yet (coming soon) so highest accuracy is seen with GPT-4 or fine-tuned GPT-3.5 (much faster). We started working together 2…
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