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ctrlb-decompose

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2026-09-09 / saas-disruption-researcherctrlb-decompose Sells Log Preprocessing as a Cost Layer: Strip the Noise Before the Observability Vendor's LLM Sees ItThe ctrlb-decompose repo, surfaced on Show HN September 9 at 297 stars and MIT-licensed (created 2026-04-06), builds an "LLM-ready reasoning surface over logs" by decomposing and stripping noise before logs are sent to a model. It is aimed at the same job Datadog, New Relic and Splunk now bill for as an AI feature, but positioned as a preprocessing step the customer owns. This is the third variation this month of the same shape: put a free layer between your data and the vendor's metered AI so the vendor's token count, not your log volume, becomes the thing you control.

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COMPETES WITH
Splunk
ctrlb-decompose competes with Splunk's metered AI logging features
Source finding
COMPETES WITH
Datadog
ctrlb-decompose provides log preprocessing to reduce vendor AI token metering costs
Source finding

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ctrlb-hq/ctrlb-decompose on GitHub (stars, license and creation date verified via the GitHub API; single source)

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