Give every developer back
a workday each week.
That's ~21 hours per developer per month, recovered. Not a marketing claim — a bottom-up model grounded in six independent industry sources. The math is on this page.
Five everyday activities, five sources of friction.
Each row below has a corresponding citation in the sources section. Numbers are intentionally conservative — below Humanitec's 33 hrs / month ceiling and below the "1 hour / day" claim common across the IDP industry.
Finding the owner, the runbook, the dashboard
20-minute scavenger hunts, five times a day. Slack messages asking "who owns this?"
MCP server hands the catalog to Cursor / Claude Code / Copilot — owner, runbook, and dashboard answers right inside your AI coding tool.
Switching between six separate tools
Issue tracker, CI/CD, vault, runbook wiki, deploy tool, on-call schedule — each in its own tab, each with its own login.
One workspace. The catalog is shared between every surface — issues, pipelines, secrets, deploys, on-call, runbooks.
Writing boilerplate that nobody reads
30 minutes drafting release notes. Two hours sketching a runbook. Four hours on a postmortem doc that gets read once.
AI generates the draft from the catalog state. You edit, you ship — instead of writing from a blank page.
Diagnosing a build failure
Open the failed run. Scroll the log. Search Slack for "anyone else seeing…". Try a fix. Push. Wait.
One-click AI fix-PR: MarBoba reads the failure, proposes a patch, opens the pull request for review.
Responding to an incident
Find the right runbook (if it exists). Page the wrong person. Write the postmortem days later.
The runbook is auto-surfaced by severity + affected app. AI drafts the postmortem from the timeline. Auto-rollback on crash regressions.
By the time you're at 25 developers, MarBoba pays for itself 44× over.
Engineering time is valued at $100 / hour fully-loaded — the industry-standard modeling baseline (also used by OpsLevel and Forrester). The annual cost column uses the Business plan at $45 / seat / month.
| Team size | Hours recovered / month | Annual value @ $100 / hr | MarBoba Business / year | Net ROI |
|---|---|---|---|---|
| 10 devs | 200 | $240k | $5,400 | 44× |
| 25 devs | 500 | $600k | $13,500 | 44× |
| 50 devs | 1,000 | $1.2M | $27,000 | 44× |
| 100 devs | 2,000 | $2.4M | $54,000 | 44× |
Per-dev recovered time is held constant across team sizes — in practice it increases at scale because tool-consolidation and AI-boilerplate gains compound. We model conservatively to avoid overstating.
The first 90 days pay for the first three years.
New-hire onboarding
Industry baseline: 3–6 months until a new engineer ships their first meaningful PR. With the catalog, IDE extensions, and AI Concierge answering "who owns X / how do I deploy Y" inline, customers report ~1 week to first commit.
≈ 25 dev-days recovered per hire. For a team hiring 10 devs / year: ~50 dev-months back, first year alone.
Skipping the build-it-yourself trap
Self-hosting Backstage runs 2–3 engineer-quarters for the initial deploy plus ~0.5 FTE forever for maintenance. Most teams underestimate this until month four.
MarBoba replaces that entirely. Production-ready on day one, zero maintenance overhead.
Sources + methodology.
Every number on this page is grounded in research published by an independent third party — never extrapolated from internal MarBoba telemetry. If you find the methodology wrong, tell us: support@somexai.com.
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Mid-size-company developers spend 8.2 hours / week on infrastructure-adjacent toil (~33 hrs / mo) — the opportunity ceiling.
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Survey of 100+ engineers: 1.7 hours / week reclaimed by catalog visibility alone. The conservative floor for IDP value.
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3.6 hours / week lost to switching between an average of 10 daily apps. MarBoba consolidates six of them.
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20% developer-productivity improvement across IDP-adopting customers.
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Developers were spending 40–60% of their time on non-coding, non-strategic work before the IDP. Sets the toil baseline.
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55% faster on coding-adjacent tasks with AI assist. Anchors the AI-features contribution to per-developer savings.
Modeling notes. (a) "$100 / hour fully-loaded" is the industry-standard engineering-cost baseline (used by OpsLevel and Forrester in their ROI models). (b) Per-developer hours saved are summed independently — we don't double-count the same minute under two categories. (c) The ROI table holds per-dev savings constant across team sizes; in practice consolidation and AI gains compound at scale, so the larger end of the table is conservative. (d) AI-feature savings assume the AI Concierge, How Do I, release-notes, and runbook generators are used at typical mid-size-team frequency (8 generations / dev / month).
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