
Puter Developer - The Backend for AI-Generated Apps
Backend platform providing auth, storage, database, and LLM APIs (Claude, OpenAI, Gemini) via a single JavaScript library.
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps
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Backend platform providing auth, storage, database, and LLM APIs (Claude, OpenAI, Gemini) via a single JavaScript library.
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps

Compare latency and throughput across multiple LLM API providers.
@QAInsights · X

Automatically route each prompt to the cheapest capable model to cut API costs.
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

Compress LLM prompts and docs to reduce token usage and API costs.
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

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

Access 10,000+ AI models through one OpenAI-compatible API.
@mageofweb3 · X

Compress prompts and reduce LLM token costs by detecting duplicate tool calls in real-time.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls

Route LLM API traffic through a gateway with built-in cost tracking, latency analytics, and PII redaction.
charltonraven · HN
RavenGate – LLM gateway that redacts PII across SSE chunk boundaries

Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams

Manage and run LLM models in your browser via WebAssembly.
userfrom1995 · HN
Goku – WASM (wllama)-powered LLM inference and model manager