Suggest edit — google sheets ideas export

Title

Name

Note

---
date: 2026-04-10
source_origin: google-sheets
source_path: sources/google-sheets-ideas.md
title: google sheets ideas export
type: source-summary
visibility: public
---

# google sheets ideas export

a structured export from a google sheets workbook titled "Ideas (not ai generated, just ai formalized from notes)" containing four tabs of evaluated project ideas.

**project_ideas** (~85 entries) — each idea has a title, description, and varying amounts of metadata: originality score (1-10), excitement score (1-10), originality notes (competitive landscape analysis), general notes (feasibility commentary), and MVP time estimates. ideas range from hardware (BCI devices, smell resetters) to software (hiring platforms, learning tools) to non-tech (events, movements, real estate). the most excited-about ideas (10/10 excitement) are brain rewinder and articulate/precision description engine. many entries overlap with ideaflow and apple notes captures but add quantitative evaluation not present in those sources.

**ranked_by_tech_depth** — the same ideas ranked by technical depth (1-10 scale) and labeled with tier recommendations: [DO THIS] for top-tier technically impressive projects (acoustic drone detection, BCI, agent-based simulation, spec-driven dev, personalized medicine), [STRONG] for solid engineering challenges, [WRONG FIT] for ideas that are too thin technically or wrong scope for a 2-month build, and [ARCHIVE] for ideas to shelve. this tab reveals a clear preference for technically deep, demo-able projects with defense/neurotech/AI-tooling angles.

**Blue Ocean Analysis** — 12 ideas evaluated for market positioning using blue ocean strategy framework. one true BLUE OCEAN (N-of-1 causal inference engine), two NEAR BLUE (EEG artifact rejection, content quality scorer), several EMERGING, one RED OCEAN (spec-driven dev kit), and one RED/EMERGING (recursive self-improvement infra). each rated for 2-month feasibility (high/medium/low).

**best (top picks)** — harrison's curated top picks emphasizing: audio scene classification on microcontrollers, smell classification necklace, personal data selling, embedding interpolation for writing tone, computer optimization harness, and PPG sensor training for biomarkers.