This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Built this because existing open-source real-time analytics tools either lacked time-series storage, had poor async performance, or required expensive proprietary licenses. This pipeline combines FastAPI's async capabilities with TimescaleDB's time-series optimization, Kafka's streaming reliability, and WebSocket for real-time dashboards. Key differentiators: sub-50ms latency, 150+ tests, Prometheus/Grafana integration, and Kubernetes-native deployment. Perfect for anyone building IoT, fintech, or observability platforms.
Deployed a sample IoT workload against it and the end-to-end latency held steady around 40ms even when I pushed past 8K events/sec, which honestly beat what I expected from a fully open-source stack.
Spun up the demo stack over the weekend and the sub-50ms latency claim actually holds up under load, which I was skeptical about. The WebSocket dashboard updates felt snappy even when I pushed synthetic traffic near the 10K/sec mark.
Spent an afternoon poking around the repo and the FastAPI setup is genuinely clean, async endpoints just work without the usual boilerplate. The Prometheus metrics out of the box saved me an hour of wiring.
Spent an afternoon poking around the repo and the WebSocket live feed felt genuinely snappy, even when I hammered it with a few thousand synthetic events. Love that TimescaleDB + Kafka combo is wired up cleanly out of the box.
Set it up over the weekend and was impressed by how smoothly the WebSocket feed handled 8K events/sec without dropping a frame. The Prometheus dashboards are genuinely useful out of the box, which saved me a ton of wiring time.
About Real-Time Analytics Pipeline on Product Hunt
Real-Time Analytics Pipeline was submitted on Product Hunt and earned 7 upvotes and 6 comments, placing #67 on the daily leaderboard. Enterprise open-source real-time analytics pipeline: 10K+ events/sec, sub-50ms latency. FastAPI async API, TimescaleDB time-series, Kafka streaming, Redis caching, WebSocket live, Prometheus/Grafana monitoring, OpenTelemetry tracing. Anomaly detection, K8s auto-scaling, 150+ tests. Ideal for IoT, fintech, observability.
Real-Time Analytics Pipeline was featured in GitHub (41.3k followers) and SDK (791 followers) on Product Hunt. Together, these topics include over 24.8k products, making this a competitive space to launch in.
Who hunted Real-Time Analytics Pipeline?
Real-Time Analytics Pipeline was hunted by Aman Kumar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Aman Kumar