Evaluation RuleDecision layer

The Standup Rule: Sell Managed Oversight, Not the Digest

Should an agency adopt The Standup as a paid client service when the free tier already includes the full daily digest and searchable archive? Adopt The Standup only when you are selling the human review layer around the digest, never the digest itself.

By InnovaAI ResearchPublished

“Should an agency adopt The Standup as a paid client service when the free tier already includes the full daily digest and searchable archive?”

Adopt The Standup only when you are selling the human review layer around the digest, never the digest itself.

Common Mistake

Operators resell The Standup as a feature upgrade and try to charge for access, when the client can sign up free and get the same 07:40 digest and archive; the retainer collapses the moment the client notices.

Why This Works

The free tier already ships the daily digest at 07:40, the full searchable archive, and every release, advisory, and outage, and Membership at $5 per month only pays for polling, storage, and sending with no ads. Because the tool aggregates alerts but does not automate remediation, the billable value sits in your team reading the digest, mapping it to each client's stack, and issuing patch-or-pin decisions. The Standup Stack Audit at $1,800 with 16 hours of setup is the shape that works: a one-time dependency risk snapshot for a small stack, then a recurring oversight retainer on top.

Apply When
  • •The agency runs a dev or DevOps retainer book where at least 3 clients depend on shared vendors such as GitHub, npm, Cloudflare, Datadog, Supabase, Netlify, Vercel, or Microsoft
  • •A client has asked who owns dependency risk after a CVE or breaking change surfaced in their stack
  • •The agency can staff a recurring review slot, roughly 30 to 60 minutes per client per week, to read the 07:40 digest and act on patch-or-pin items
  • •The agency wants a low-touch retainer add-on rather than a new engineering engagement, and can price it as oversight instead of a software feature