Formula Dog vs PromptLoop

Formula Dog turns spreadsheet problems written in plain English into working Excel or Google Sheets formulas. You describe what you need, and the tool returns a paste-ready formula, often with a short explanation of how it works. The first five requests each day are free with no account required.

The product centers on a fine-tuned model trained on real spreadsheet formulas paired with human-written descriptions. That focus shows up in the output: fewer invented function names and syntax tuned for Excel, Google Sheets, VBA, regex helpers, and basic Airtable or Notion formulas.

It fits analysts, ops teams, and anyone who lives in spreadsheets but does not want to memorize every function variant. The site also ships a searchable cheat sheet, a playground with worked examples, and support for 12 interface languages.

Upload a CSV or Excel file with company names or URLs, tell PromptLoop what data you need, and AI agents crawl the web to fill new columns in your dataset. The platform targets go-to-market teams who want prospect lists enriched with live web signals rather than hand-researched one row at a time. Results land back in a filterable workspace you can export or sync to HubSpot and Salesforce.

Most Excel AI tools generate formulas or analyze cells you already have. PromptLoop treats each row as a research job instead. Its agents browse live sites with configurable crawl depth, return structured fields like phone numbers or pricing signals, and scale from a single test row to 50,000 inputs per job. That workflow sits closer to Clay-style list enrichment than a copilot inside one spreadsheet cell.

Growth, sales, and revenue teams use PromptLoop to qualify outbound targets, scrape competitor pages at scale, and push enriched records into HubSpot or Salesforce. Customers listed on the site include BCG, Arketa, and Kinside. Excel and Google Sheets integrations remain available for teams that want formula-style access alongside the main dataset builder.