cloudreactor.io

Deploy, run and monitor data pipelines in the cloud - zero DevOps required

· cloudreactor.io

Last enriched: 29d ago

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Enrichment status: 10% partial

Tvijo

Lead

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About

CloudReactor frees data engineers from the burden of running and hosting reliable data pipelines. Engineers can deploy code to AWS ECS with a single command (think: "git push heroku master"). Once deployed, our easy-to-use UI allows you to easily orchestrate, track and manage those tasks. You can link tasks together into sophisticated workflows (pipelines) in seconds. Changing run schedules or manually stopping/starting tasks takes a few clicks. And you can view historical run data (failures, successes, error messages) or set failure alerts. Setup takes only 30 minutes (and requires integration with your AWS environment obviously). Free tier: 10 tasks managed for free.

AI summary

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Source: AI OS summary pipeline | Status: Pending

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Tech stack hints

Platform✕ Needs enrichment

GitHub✕ Needs enrichment

API docs✕ Needs enrichment

API documentation

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Growth signals

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Composite score over time (MVP: news-derived mention velocity only).

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Where this company appears

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Developer activity

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Stack Overflow question counts for the latest stored week. Tags are inferred from this profile’s text (CMS, description, AI notes) — not a full tech stack audit.

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How this company data works

Each field group is shown only when the public portal has a read model or discovery result for it. Missing blocks stay explicit.

Field	Source	Updated	Status
Profile basics	v_portal_companies_v1	2026-05-27 13:49 UTC	✓ OK
Social + GitHub	Enrichment snapshot	2026-05-27 13:49 UTC	✕ Missing
API documentation	AI OS api-doc discovery	Pending	✕ Missing API docs
Growth timeline	AI OS growth scores	Live relay	✕ Missing
Mentions map	AI OS mentions read models	Live relay	✕ Missing