Drafts a thoughtful reply to every new Google review.
Cleans a messy customer contact list: fixes names, merges duplicates, flags junk.
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Small businesses have contact lists full of duplicates, all caps names and bad emails from years of forms. List Tidy takes a CSV, uses rules and AI to fix formatting, merge duplicates and flag junk rows, and returns a clean file with a change log.
Paste these into Claude, Cursor or Lovable, in order. Check that each one works before moving on.
Build a web app called List Tidy. Start with a CSV upload page, a column mapping step (first name, last name, email, phone, company, address) and a preview of the first 20 rows.
Clean the data: trim spaces, fix name casing, normalize phone formats, validate email syntax, and find duplicates by email, phone or similar name. Use an AI model only for ambiguous merges and to flag junk rows like test entries. Show a review screen with each proposed change.
Let the user accept all or per change, download the clean CSV plus a change log, and add Stripe checkout priced by row count.
Drafts a thoughtful reply to every new Google review.
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