saascode
marketing & growth·run 138 · Jun 2026

Semantica

A governed semantic dictionary that proposes company metrics from query history, routes definitions to data owners, and exposes only approved versions to analytics agents.

Genesis score7.61/10
Make Semantica real.0/500
500 more votes and Semantica 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
$75K/yrEnterprise reference
$40/moCloud developer seat
0Auto-generation peers found
The case

Teams can ask the same revenue question and receive different answers because dashboards and analysts encode different joins, filters, calendars, and exclusions. Enterprise catalogs document data, while an open semantic layer serves approved metrics. The opening is the cold-start bridge: mine actual query history for candidate definitions and synonyms, then require human ownership before any agent can use them.

Who pays — and why

The analytics, revenue-operations, or data-platform leader at a growing company with repeated metric disputes but no dedicated governance program.

Market signal$40 per developer monthlyobserved Cube Cloud market reference, set your own
What it unlocks
Candidate metrics, dimensions, synonyms, and conflicts grounded in actual query examples
Owner approval, tests, versions, deprecation, and lineage for every published definition
A read-only agent interface that answers only from approved semantic objects and source data
How Genesis scored it
7.61across seven criteria
tension 8temporal 8blindspot 6buyer 8leverage 9convergence 5why-not 7
9
Asymmetric leverage

Mining, approval workflow, and serving approved metrics scale through software.

8
Productive tension

Automatic discovery creates value only because publication remains governed.

5
Convergence

Several references and inbound links support the area, while grounded convergence remains modest.

Why it scored well

A large enterprise price gap, a mature open semantic layer, and the query-history-to-approved-definition mechanism support a scalable SMB wedge.

What's holding it back

Convergence is modest, query logs are biased and sensitive, human governance remains essential, and existing semantic products can add generation.

Signals detected4 sources crossed
SignalZendikt and marketplace research

Signalgithub.com/cube-js/cube.js

Signalcube.dev/pricing

Signalcompetitor scan carried in Genesis

Direction briefsemantica.md
semantica.md
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