UsageFlow
API usage metering, rate-limits and usage reporting
Get picks like this daily. Today's launch numbers, the top launches, AI and tech news, and a daily opportunity pick, straight to your inbox.
Want to reach these readers? Sponsor an issue.
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 endpointsUser identificationUsage meteringRate-limits and automatic blockingReporting usage events to your existing billing or metering systemSupports: 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 tracking automatically.No developer skills required to:Update usage rulesApply limitsReport usageEverything works with a few clicks — your entire usage platform is in your hands, instantly.I’m opening this for first testers. If you run an API and want to try UsageFlow, comment below or DM me — I will create your account and get you started in minutes.Learn more at: https://usageflow.io
HN · launched Nov 20, 2025 · 5 upvotes (top 90%) · 0 views
Niche: api usage and rate limit monitoring · 75 launches, 5 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- Developer
- Not AI
- Commercial product
More like this: all 75 launches in api usage and rate limit monitoring →
Could you build this?
Partial Building client SDK wrappers and basic dashboards is straightforward, but building ultra-low-latency, distributed, highly available rate limiting and high-throughput event metering infra requires systems engineering.
What it would actually take: The system requires an edge reverse-proxy / SDK middleware that syncs counters to a distributed, low-latency in-memory datastore (e.g., Redis cluster using sliding window or token bucket algorithms) coupled with an asynchronous event-streaming pipeline (Kafka/ClickHouse) for analytics. It demands distributed systems engineering to handle high-throughput traffic without adding latency overhead or dropping usage records.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one : 72 launches clear the similarity bar, closest 8 shown.
Attention rank: #72 of 73 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 9 days after the earliest competitor.
- nestjs-quota · github · 2026-09-27 · 10 upvotes · similarity 0.47
- RateGuard · ph · 2026-09-10 · 1 upvotes · similarity 0.44
- QuotaMint · ph · 2026-09-27 · 16 upvotes · similarity 0.44
- usage-meter · github · 2026-10-09 · 16 upvotes · similarity 0.44
- UsageGate · ph · 2026-09-20 · 2 upvotes · similarity 0.43
- SHOW HN: A usage circuit breaker for Cloudflare Workers · hn · 2026-03-10 · 29 upvotes · similarity 0.42
- Claude Meter · hn · 2026-02-10 · 9 upvotes · similarity 0.41
- Understand and reduce token usage with ContextSpy context profiler · hn · 2026-06-15 · 6 upvotes · similarity 0.40
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.