This was really very much needed! Congratulations on the launch!

Congrats on the launch!

Great job on the launch of Strac! The product is very well made and does a great job of protecting businesses by replacing sensitive data.

Saves me hours per week & extremely useful for customer support. I can delegate a lot of customer support tickets faster after all sensitive data are removed with a single click.

Congratulations! Very cool, love the attention to detail and thought y'all put into this 😎

Way to ship

Congrats! This is so important for so many organizations. Will start using it myself!

Thank you so much @mwseibel for hunting us! Hi Product Hunt - We’re excited to introduce you to Strac's another launch: Google Sheet Redactor. A) Problem Businesses want to share Google Sheets containing sensitive customer data. They also want to run tests and statistical analysis on that sensitive data. However, you can't do for following reasons: ⌛ Productivity: Manually generating pseudonyms is time consuming work and is prone to typos or semantic errors that make the generated data unusable. ⚕️Compliance: GDPR, HIPAA, CCPA and many other privacy laws enforce all customer sensitive data to be accessed on a need-to-know basis. Removing data access for testing and analytic workload reduces compliance risk. 🔐 Security: Sharing updated sheets allow recipients to still access sensitive customer data because Google Sheets maintain a version history that tracks all changes. Also, insider attacks are common where employees who have access to customer's sensitive data lead to data exfiltration. B) Solution Strac Google Sheets Redactor is a Data Loss Prevention (DLP) software. It creates a copy of the original Google Sheets with sensitive data elements replaced using format-preserving pseudonyms. For developers building applications backed by Google Sheets data, it allows them to test their code using data that look the same as production. For business analysts, it allows them to perform statistic analysis on models that have the same properties as production data. All without seeing the sensitive data. Users can configure a list of sensitive data elements to anonymize. Below is a sample list of data elements that can be converted to pseudonyms: 💰 Financial: Bank (Account Name, Routing Number, Account Number, PIN, BIC, IBAN), Crypto (Bitcoin Address, Ethereum Address), Credit/Debit Card (Account Number, CVV, Issuer), Vehicle Identification Number 📧 Tracking: Address (Street, City, State, Zip Code), Date, Email, IP Address, Job Title, Mac Address, Phone Number 🪪 Identification: Age, Gender, Income, Name, User Name, Password, SSN C) About Strac We are on a mission to solve the identity theft problem by going to the source of it. Hence, we started Strac. We are making it possible for startups & enterprises to securely interact with sensitive information without changing their workflows. Strac helps businesses secure their customers’ sensitive personal data like SSN (social security number), drivers license, passport, bank statements, tax forms, medical notes, etc. across all communication channels like Email, Slack, Zendesk, Intercom, OneDrive, Google Drive and Web Applications. This launch is specifically targeted for email. We would love your feedback on the product. Let us know what you like and what we can improve! Book a demo here: https://strac.io/

Congrats on the launch, this'll be great for fintech / health tech.

Great way to rapidly prototype data architectures with sensitive data, Well done!