Alternatives
Products that do what Rately does
Take control of your API traffic with custom rate limits.
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Hi HN! I built a distributed rate limiter using the token bucket algorithm with Redis backing. Key highlights: • 50,000+ requests/second throughput with <2ms P95 latency • Redis-backed distributed state for multi-instance deployments • 18 REST API endpoints for rate limiting, config, and monitoring • 265+ tests including load tests and integration tests • Docker/Kubernetes ready with comprehensive documentation Built with Java 21 + Spring Boot. Perfect for protecting APIs, microservices, or SaaS platforms from abuse. The pain point I solved: existing solutions were either too…
Sep 2025 · github.com
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2016 · github.com
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2018 · github.com
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Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically,…
2022 · usage.ai
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I’m launching UsageFlow, a simple tool for API owners who want automatic API usage metering and full control over their endpoints — all without any hassle. With just a few lines of code, the UsageFlow SDK gives you: Automatic discovery of API endpoints User identification Usage metering Rate-limits and automatic blocking Reporting usage events to your existing billing or metering system Supports: Go (Gin), Python (FastAPI, Flask), Node.js (Express, Fastify, NestJS) Perfect for AI APIs or SaaS platforms that want to scale fast — focus on building your product while UsageFlow handles usage…
Nov 2025
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Hey HN: I'm Kaveh, the founder of Usage (https://www.usage.ai/) We help companies drive down AWS costs. Why? Because the way it's done now is a pain. Stakeholders, especially engineers, are required to spend unnecessary time manually finding underutilized or overly expensive EC2s. We believe the optimization process should be done automatically through a series of sophisticated algorithms. At the moment, there are over 70,000 AWS EC2 prices - doing that manually just won't scale at most organizations. My background is in software engineering. Previous to founding Usage, I…
2020
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2023 · ratelimitapi.com
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Dear startups, We've recently launched our service that helps deploy capacity across AWS EC2 spot to provide high availability and up to 90% discount on compute. Magic happens by us predicting spot prices and distributing capacity across dozens of uncorrelated Spot auctions to limit exposure to possible price spikes. As serial entrepreneurs we know first hand how important it is to iterate quickly and reducing the compute cost is one of the ways to approach it. If your company's AWS bill is significant (>$10k/month) and you have an interesting use case that we can discuss - we'd be…
2015
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I've been having a lot of issues with my upload speed and wanted a cli tool to run in a cron job and couldn't quite find one to suit my needs. Sharing here in case others find it useful.
Jan 2026 · github.com
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CAST AI (https://cast.ai) has built a cloud optimization platform that reduces AWS cloud costs 50% to 90%, optimizes DevOps, and automates disaster recovery via multi-cloud with a single cluster. Intelligent optimization engine delivers a cost-efficient, high-performing, and resilient infrastructure for every Kubernetes workload. If it sounds too good to be true - try free. To make it easier CAST AI provides AWS and GCP cloud credentials for free. Visit https://cast.ai Here's how it works: 1.Use CAST AI to deploy your K8s clusters. Next, take a look at the CAST AI…
2021
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Hi! I've found myself repeatedly writing little scripts to do bulk calls to LLMs for various tasks. For example, run some analysis on a large list of records. There are a few "gotchas" to doing this. For example, some service providers have rate limits, and some models will not reliably return JSON (if you're asking for it). So, I've written a command for this. What I've tried to do here is let the user break up prompts and configuration as they see fit. For example, you can have a prompt file which includes the API key, rate limit, settings, etc. all together, or break these up into…
2025 · github.com
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2012 · kloudcalc.com
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Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend by buying and selling 3-year no-upfront reserved instances. Why? Because there's almost no liquidity on the AWS EC2 RI Marketplace and it can take a while, if at all, to sell an RI if you need to stop using one. Previous to founding Usage, I worked at JPMorgan Chase as a summer analyst. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically, typically we do this live…
2023
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2018 · gist.github.com
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May 2026 · github.com
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2015 · github.com
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