15:I[981,["658","static/chunks/658-a698693f56d0116a.js","183","static/chunks/183-6beeeb801c274aaa.js","474","static/chunks/app/%5Btype%5D/layout-631c4730b83c8223.js"],"Posts"] 16:T47a,Hi HN,

KafScale is Kafka-compatible streaming, k8s native, where S3 is the source of truth and brokers hold no persistent state. Written in Go, runs on Kubernetes.

Built this after years of operating Kafka and hitting the same walls: broker failures that take hours to recover, partition rebalancing that blocks deploys, disk capacity planning that never ends.

How it works:

- Producers and consumers use standard Kafka clients - Brokers buffer in memory, flush to S3 - etcd stores metadata and consumer group state - Recovery means restarting a pod and reading from S3 - Optional Iceberg processor reads segments directly from S3, bypasses brokers entirely for batch/analytical workloads

What you give up: latency is 400-500ms (S3 round-trip), no transactions, no compacted topics. It's not a 100% replacement.

What you get: brokers are disposable, scaling is just replica count, no disk management, direct access to streamed data over S3 ACL

License: Apache 2.0 GitHub: https://github.com/novatechflow/kafscale17:T5f4,Hi HN,

This started as a JSON editor. Then I added “just one more thing”. And then another. At some point it became a small collection of developer tools.

JSONEditors is now a set of browser-based utilities I use when dealing with JSON, HTML, XML, encoded strings, and random bits of text that show up while debugging APIs, configs, or data exports.

Nothing here is revolutionary. Most of these tools already exist somewhere. The problem I kept hitting was friction: switching between different sites, different UIs, different assumptions about what I want to do.

So I ended up putting the tools I actually use in one place, with consistent behavior and predictable output.

The goal is very borin

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