The Growth Signal Stack: Measure the Decision, Not the Available Data
A decision-first framework for choosing growth metrics without mistaking publishing, rankings, or TVL for attention, adoption, or customer value.

Hi Violet research and field notes filed under “original research.”
A decision-first framework for choosing growth metrics without mistaking publishing, rankings, or TVL for attention, adoption, or customer value.
A practical operating system for translating meaningful product changes into clear explanations, useful distribution, measurable action, and market learning.
A practical system for deciding which public surfaces a consumer-crypto product should maintain, repair, consolidate, or deliberately decline.
A reported conversion, an observed site action, and a verified customer are different facts. Nine public ChatGPT Ads case records show why that distinction matters.
We tracked 12,489 TikToks from 314 indie game developers. The devlog checklist made no difference; a breakout lifted the next four posts by up to 1.35x.
AI 3D clips get 0.21x the views per follower of traditional 3D on TikTok. Character animation reaches 9.1x, Blender scenes 8.6x. 7,317 game-art clips measured.
71% of upcoming Steam games show no release date and never appear in the default Coming Soon list. Demos earn 1.67x the followers. Data from 60,790 games.
Full aggregate tables from Hi Violet's RAID reanalysis: detector accuracy under 11 attacks, per-document flip rates, per-domain false positives, methods.
Measured on 480,000 generations: paraphrasing makes one detector 5.4pp more accurate and another 17.0pp worse. Evasion is a detector lottery, not a strategy.
One pooled 5% setting, eight writing domains of truth: measured per-domain detector false-positive rates range 0.96% to 20.4%.
Measured on 480,000 generations: one symbol substitution flips 93.7% of a detector's per-document verdicts. Aggregate accuracy hides the collapse.
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