saascode
sales & revops·run 092 · May 2026

Autoworth

A pre-decision automation calculator that turns team-approved time, cost, error, build, and maintenance assumptions into a sensitivity model and a reviewable repository charter.

Genesis score6.38/10
Make Autoworth real.0/500
500 more votes and Autoworth is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
0Direct competitors found
16+ countriesConfirmed salary-market coverage
The case

Engineering teams automate repetitive work because it feels wasteful, then discover that build time, failures, support, security review, and maintenance cost exceed the saved effort. The source supplies a concrete community demand signal and confirms a free salary-band API, but no direct competitor. The useful product is an assumption ledger and sensitivity model, not an employee-value calculator. It should use team-approved blended cost bands, avoid individual productivity inference, and only propose a repository charter after explicit authority.

Who pays — and why

The engineering manager, platform lead, developer-productivity lead, or technical founder deciding whether to automate recurring work. The exact budget and current approval process remain unverified.

Market signalUnverifiedNo grounded market price was supplied; validate against engineering planning and avoided low-value automation
What it unlocks
A transparent payback model with observed frequency, participants, time, error cost, build effort, support, maintenance, and uncertainty.
Sensitivity analysis that shows when the recommendation flips instead of presenting one precise ROI number.
A repository charter proposed from approved assumptions, with owner review, exact commit authority, readback, and monthly re-evaluation.
How Genesis scored it
6.38across seven criteria
tension 6temporal 8blindspot 5buyer 5leverage 8convergence 5why-not 7
8
Temporal window

A high-engagement 2026 demand signal creates a current adoption window.

8
Asymmetric leverage

Assumption modeling, sensitivity, charters, and re-evaluation scale through software.

5
Convergence

One cross-reference and two inbound connections provide modest convergence.

Why it scored well

A strong community demand signal, confirmed free market data, no direct competitor, and a reusable sensitivity model create a timely software wedge.

What's holding it back

The buyer and budget are incomplete, no API was verified in the original stage, task-time estimates are noisy, and the product can slide into employee surveillance or false savings claims.

Signals detected3 sources crossed
SignalMarket research

SignalSource verification

SignalCommunity research

Direction briefautoworth.md
autoworth.md
Want this pointed at your vertical?Point Genesis at your own market and constraints — it invents adjacent, fork-ready ideas, private to you before they hit the public feed.

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