March 12, 2026
Auto‑tickets, copy‑paste chaos
Show HN: LogClaw – Open-source AI SRE that auto-creates tickets from logs
AI ticket bot promises sleep; commenters smell copy‑paste
TLDR: LogClaw pitches an in‑your‑cloud AI tool that turns log errors into fix‑ready tickets in 90 seconds and claims huge cost savings. Commenters mostly cry copy‑paste and compliance hype, questioning the value of another “agent,” while a few say if it actually cuts 3 a.m. alerts, it’s worth watching.
LogClaw showed up on [Show HN] claiming to be an “AI SRE” that lives inside your cloud, watches logs, and files detailed Jira or ServiceNow tickets with fixes in about 90 seconds. The pitch is simple: fewer 3 a.m. alarms, more automatic solutions, and big savings versus the usual logging giants.
But the crowd didn’t clap—they pounced. The top vibe was skeptic mode: one engineer asked why we need an “agent” at all when humans already set up alerts and auto‑ticketing, basically challenging the product’s real value. Then came the roast: multiple readers said the post looked copy‑pasted, with a leftover prompt and duplicate sections. Cue the chorus of “hey bud, you forgot to delete the original prompt,” and the thread turned into a cleanup-on-aisle-nine.
It got spicier when someone side‑eyed a bold “SOC 2 Type II ready” claim, dropping the now-meme‑worthy line: “You vibecoded the repo in a week and claim it ready?” Others kept it light with name jokes—“LogMolt,” anyone? Meanwhile, a few folks peeked past the drama to the promise: keep logs inside your own cloud, detect weirdness, and spit out a blast radius plus a suggested fix. If it truly delivers “wake up to solutions,” it’s a win. But today, the thread reads like: big claims, bigger skepticism, and a comment section with claws out.
Key Points
- •LogClaw is an AI-driven SRE tool that deploys within customers’ AWS, Azure, or GCP accounts to monitor logs and detect anomalies in real time.
- •It auto-creates detailed Jira or ServiceNow incident tickets—including root cause analysis, blast radius, log traces, and suggested fixes—in about 90 seconds.
- •Integrates with existing stacks like Splunk, Datadog, and CloudWatch, and supports direct log ingestion via OpenTelemetry for Python, Node, Java, and Go.
- •Emphasizes data residency with zero data egress by running inside the customer’s VPC.
- •Pricing claims include a cost comparison at 500 GB/day: Splunk $1.2M/yr, Datadog $509K/yr, and LogClaw Cloud $54K/yr, with additional tiered monthly pricing and footnotes about competitor pricing assumptions (March 2026).