Alternatives
Products that do what KeyKing Ecosystem does
Never Hit Rate Limits
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I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com
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I built this after seeing multiple teams accidentally ship API keys in their frontend code. The problem: Modern web development moves fast. You're vibe-coding, shipping features, and suddenly your AWS keys are sitting in a tag visible to anyone who opens DevTools. I've personally witnessed this happen to at least 3-4 production apps in the past year alone. KeyLeak Detector runs through your site (headless browser + network interception) and checks for 50+ types of leaked secrets: AWS/Google keys, Stripe tokens, database connection strings, LLM API keys (OpenAI, Claude, etc.), JWT…
Nov 2025 · github.com
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Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…
Jul 2026 · yolo-auto.com
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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…
Sep 2025 · airbolt.ai
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Key management for multiple users and multiple cloud LLM/GenAI APIs is difficult to be both safe and convenient. Sharing keys among users risks leaking the key and makes it difficult to curb the leakage without interruptions. But assigning one key per user per cloud API results in too many keys to keep track of. Meet LlaMa(ster)Key, the secure and easy solution for API key management: * For each user, one master key for multiple APIs. * The master key is unique to each user. Granting and revoking a user's access won't impact other users. * The actual API keys to authenticate with cloud…
2024 · github.com
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Hi HN! Stefan here from superglue and today I’d like to share a new benchmark we’ve just open sourced: an Agent-API Benchmark, in which we test how well LLMs handle APIs. We gave LLMs API documentation and asked them to write code that makes actual API calls. Things like "create a Stripe customer" or "send a Slack message". We're not testing if they can use SDKs; we're testing if they can write raw HTTP requests (with proper auth, headers, body formatting) that actually work when executed against real API endpoints and can extract relevant information from that response. tl:dr: LLMs suck at…
2025 · github.com
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We've set up DeekSeek R1 with a system prompt that attempts to censor the word PRIVATEKEY from its response. If you can get DeepSeek R1 to output that string (not in the reasoning, but in the final response), the system will reveal a private key which contains $1000 USDC. You will have a 50 token limit in the input. We will have a series of contests, sponsored by AI researchers, in order to learn more about prompt engineering and how LLMs interact with real money. Good luck! Edit: The money was claimed! Thanks for playing all. You can still play for fun. Stay tuned for the next one! Stats:…
2025 · deepbounty.ai
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Compare GPT, Claude, Gemini & Groq — your keys, your data
4d ago · chromewebstore.google.com
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Zero-knowledge vault for API keys, encrypt, proxy, secrets
Jun 2026 · ranbval.com
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