miniml/.eval/wave2_contrarian.md

A minimal, embeddable semantic data modeling language for generating SQL queries from YAML model definitions. Inspired by LookML.

# WAVE 2 — THE CONTRARIAN (Wave 2 only)

## The consensus I'm attacking
Eleven of twelve briefs cluster in the 12–42 band; ten of twelve sit at 34 or below. The panel has converged on: *right thesis, vindicated category, zero traction, dead flagship features, kill-the-campaign.* My job is to find where twelve smart agents are wrong in the same direction. I found two places, and one place where I failed to break them.

### Blind spot 1 — the panel priced MiniML as a product; its highest-EV outcome is as a *specification*.
Every agent scored "will strangers adopt this library / will it make money." But look at what the Market Cartographer surfaced without weighting it: the **Open Semantic Interchange** standardization effort, AtScale open-sourcing the SML *spec*, Databricks *open-sourcing* Unity Catalog semantics. The category is actively fighting over the *format*, not the runtime. MiniML's genuine asset — confirmed by the Principal Engineer as its best, most separable code — is `load.ts`'s terse YAML dialect and the LLM-facing model-card generator. That's a *notation*, and notations win by being copied, not installed. npm downloads and stars are the wrong scoreboard for a notation. Nobody on the panel asked "is the MiniML YAML shorthand good enough that someone should steal it into a standard?" — which is the one outcome where 1 star and total victory are compatible. [This is speculative upside, but the panel's unanimous use of adoption metrics blinded it to the possibility.]

### Blind spot 2 — the panel treated the dead-code finding as damning without noticing it's *disconfirming their own dormancy story too*.
The Bear/PE read the inert AST validator as "proof this isn't a real product." Fair. But flip it: the finding also proves the panel's "the author will just fix it and launch" optimism (Bull's crux, Community's "every defect is cheap") is itself unfounded — because a one-line fix sat unmade for 13 months. Both the kill case AND the revival case assume the author acts. The evidence says he mostly *doesn't* (9-month dormancy, revival was docs-only). The honest position isn't 30 or 42 — it's "this is inert, and inert is the base rate." The panel split the difference between two action-assuming stories; the data supports a no-action story that neither camp fully priced. That pushes the *realistic* score *below* the cluster, not above it.

## Where I could NOT break consensus (and this is strong evidence)
I tried to build the "everyone's too bearish, this is a sleeper" case and it collapsed on one measured fact: **the hyperscalers shipped it.** Not "will ship" — Snowflake Semantic Views GA + Autopilot auto-generating models, Databricks UC semantics GA and open-sourced, Google Conversational Analytics on LookML, all H1 2026 [Market Cartographer, sourced]. MiniML supports exactly the two dialects (BigQuery, Snowflake) whose vendors most completely foreclosed the niche natively, *including auto-generating the very YAML models MiniML asks humans to hand-write.* There is no contrarian read of "the incumbent is about to ship this" when the incumbent already shipped it and gives it away inside the warehouse the customer already pays for. I cannot manufacture a demand pocket that survives that.

## My score: 24/100
Deliberately below the panel's mean (~27) and below the 30–34 cluster, because I think the cluster is anchored by "cheap to fix ⇒ will be fixed," and the 13-month-dead-code datum falsifies that bridge. The two upside blind spots I found (notation-not-product; spec-adoption) are real but low-probability and don't rescue the *product* framing everyone including me is ultimately stuck in.

## The one thing the panel got right that I couldn't dent
Keep the code alive (it's ~free and dogfooded); kill the public-adoption spend. Every camp — Bear, Bull post-update, Portfolio, me — lands here from different directions. When the optimist, the pessimist, the accountant, and the designated troublemaker all arrive at the same operational instruction, that convergence is the signal, and it's not lazy pattern-matching — I checked.