Marketing knows their ROI.Engineering never has.
Marketing solved attribution a long time ago.
Every dollar spent on ads, content, events, and campaigns is tracked to the penny. CAC, LTV, ROAS, pipeline velocity — marketing teams know exactly which levers drive revenue and by how much. This isn't new. It's been table stakes for a decade.
Engineering has been 15 years behind.
A 50-person engineering team costs $8–12M/year fully loaded. It's the single largest line item at most tech companies. Marketing has attribution dashboards. Sales has CRM analytics. Engineering has... weekly standups and quarterly planning decks.
Marketing can tell you a blog post drove $47K in pipeline. Engineering can't tell you a feature drove $2M in renewals.
Shipping faster is not the same as shipping value.
AI-assisted development tools are compressing build cycles dramatically. That's a multiplier on whatever your team is already doing — including misallocated work. The speed of code generation has outpaced the speed of steering.
Velocity without attribution is just activity. And activity without accountability is how engineering stays a cost center — even when it's the thing actually generating the value.
And the problem compounds at scale.
When you go from 15 engineers to 60, the CTO can no longer hold allocation in their head. The number of projects, teams, and decisions multiplies — but the visibility tools don't. Leadership relies on planning decks that go stale by week three and syncs too high-level to catch misalignment before it costs real pipeline.
Post-ZIRP, boards scrutinize engineering burn with a precision they never used to. “What is engineering producing relative to revenue?” is now a board-level question. CTOs without a data-backed answer are losing credibility and budget authority to peers in marketing and sales who've had attribution for years.
What if you could see exactly where capacity is going — and what revenue signal sits behind it?
Mythrilite integrates with your engineering tools
, your CRM
, and your data warehouse
to automatically map engineering work to pipeline and revenue data. The result is a live view of where capacity is going and what ROI sits behind each project.
How it works.
Connect your systems
GitHub, Linear, HubSpot, Snowflake. Mythrilite ingests engineering work, pipeline data, and revenue signals from every system your org runs on.
Agents map work to company goals
AI agents read every ticket, PR, and comment — then map the work to your company goals with confidence scoring and financial signal extraction.
See the full picture
A live view of which projects have pipeline behind them, which don't, and how much engineering capacity each is consuming. Catch mismatches before they cost deals.
What you can do on day one.
Find the $0-pipeline projects eating your budget
Instantly see which projects have revenue behind them and which don't. A billing rewrite consuming 340 hours with $0 in pipeline while a $620K feature gets 6% of capacity — you'll catch it before it costs you deals.
End the sales vs. engineering standoff
When sales says “we need Feature X,” see the real signal: is that one deal for $30K or twelve deals totaling $1.8M? Both sides negotiate from a shared fact base instead of lobbying for attention.
Walk into your next board meeting with real numbers
Replace DORA metrics nobody cares about with the language your board already speaks: “62% of capacity went to revenue-backed work, 18% to infrastructure, 20% had no revenue signal — here's what they were and why.”
Stop discovering misallocation at quarter-end
Get alerts when allocation drifts from what the pipeline actually needs. Reallocate in week three — not after the deals are already lost.
Engineering deserves the same accountability that marketing has had for years. Not as a threat — as proof.
Proof that the team shipping code is the team driving the business forward. Proof that the roadmap isn't a cost — it's an investment with measurable returns. Proof that engineering is the growth engine, not the expense line.