Files
datatools-dev/docs
Michael e1f364f010 feat: Tier B operator scaffolding — bundle, copy SoT, posts, emails
Pick up and finish yesterday's cut-off Tier B pass.

- build/: PyInstaller scaffold (datatools.spec + launcher.py +
  hook-streamlit.py + README) — folder-mode bundle, locked
  127.0.0.1, per-OS recipe
- marketing/COPY.md: single source of truth for every customer-facing
  string — landing H1/sub/CTAs, demo CTAs, email subjects, Gumroad
  listing, banned phrases
- marketing/community-posts/: 9 drafts (3 posts × 3 niches:
  bookkeeper, revops, shopify-pet) — story / tip / soft-offer
- marketing/emails/: 18 drafts (Gumroad delivery + 5-touch
  onboarding × 3 niches), per-niche segmentation guidance
- docs/NEXT-STEPS.md: flip 2.2 / 2.4 / 3.1 / 3.4 to done with
  pointers to the new assets; add Phase 0 inventory rows
- .gitignore: narrow `build/` ignore so PyInstaller spec + launcher
  + hooks get tracked, only generated artifacts (build/build/,
  build/__pycache__/, build/dist/) stay ignored

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 14:04:37 +00:00
..

Excel & CSV Data Cleaning Mastery Bundle

9 Python data-cleaning tools, every one with a CLI and a browser GUI. Local-only, no internet. Windows / macOS / Linux.

Quick Start

  1. Download the installer for your OS from your purchase email.
  2. Run it (no Python knowledge required).
  3. Launch via the desktop shortcut → your default browser opens to a local page.

Full instructions: USER-GUIDE.md.

Docs

Buyer-facing (ships with the product):

Creator-only (do not ship):


Version: 1.6 · Updated: 2026-05-01 · Owner: Michael