Hello, Tailstream

Every software developer knows this to be true: we all keep a list of ideas we promise ourselves we’ll “get to one day.”

GistReader was one I actually shipped. It was a fun learning experiment and I’m still glad I built it. But it never really took off. It was B2C, and summarizing text went from “wow” to “well, of course” almost overnight. Not what I was hoping for, but definitely a good learning experience.

So I’m changing lanes. Different problem. Different audience. Fewer buzzwords. More plumbing.

I’ve been building Tailstream.

The Problem

Logs are everywhere. They’re noisy, siloed, and almost always read after the fact. You know the dance:

Something breaks.

You tail a pod, grep a few lines, hop across services, and try to piece together what actually happened. Meanwhile, the “why” and “when” drift further away. We’ve built remarkable systems on top of logs—dashboards, queries, alerts, but for many teams the core issue remains: logs are treated like an archive, not a stream. They’re written in one world and read far too late in another.

What I want is simple: treat logs like live events. Turn the firehose into a flow you can subscribe to in real time.

The Solution

That’s what Tailstream does: it turns logs into real‑time event streams.

Not an AI project. No LLM. No prompts. Just reliable, boring infrastructure that moves the right data to the right place at the right time.

  • Ingest what you already have.
  • Shape log lines into structured events.
  • Stream them in real time to the systems and teams that need them.

If tail -f is how you troubleshoot, Tailstream is tail -f, but for your whole company, with structure, fan‑out, and a timeline you can actually depend on.

Why B2B

GistReader taught me a lot. Chief among those lessons: distribution matters, and “neat” isn’t enough.

Tailstream is for teams that already rely on logs to run their business. The value is practical and immediate: faster incident response, clearer operational narratives, and simpler paths to automation. Less detective work, more signal.

What Tailstream Is (and Isn’t)

  • Is: infrastructure that turns logs into events you can subscribe to in real time.
  • Is: a foundation for alerts, automations, and internal tooling.
  • Is: made for teams building and operating production systems.
  • Isn’t: a generic dashboard you forget to open.
  • Isn’t: another “AI wrapper.”
  • Isn’t: a replacement for your entire observability stack.

Think of Tailstream as the missing stream between where logs are born and where your organization can actually use them.

Why Now

The stack has gotten more distributed, not less. More services, more queues, more “it worked here but not there.” Most tools are great at history; fewer are great at now. I want “now.”

The Road Ahead

Tailstream will evolve in the open, with a steady focus on:

  • Reliability: events arrive, in order, with the shape you expect.
  • Simplicity: easy to drop in, easy to reason about, easy to trust.
  • Extensibility: connect to the systems you already use without hassle.

Want to Try It?

If turning logs into real‑time event streams would help your team, I’d love to show you Tailstream and hear how you’d use it. I’m looking for a small group of early adopters to pressure‑test the product in real workflows.

Send me a message and let’s chat.

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