This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
I built QX Flow because I was tired of watching teams struggle with sensitive data in spreadsheets and manual scripts. The problem wasn't just "how do I mask this phone number?" — it was "how do I turn this messy file into something clean and safe without spending hours on formulas?"
I looked into using AI to automate the process, but most tools require sending your data to the cloud. That's a hard no when you're dealing with PII, PHI, or HIPAA-regulated data.
So I built something truly local-first. Here's what makes QX Flow different:
1. File-based ETL for sensitive data. Open any Excel, CSV, or JSON file directly in your browser. Everything runs locally. No data ever leaves your device.
2. Smart recommendations — not "AI magic". QX Flow uses pattern-based matching to automatically detect PII/PHI fields (phone, email, SSN, address) and suggests the right rules for masking, cleaning, or standardizing — all with a 90%+ match score. No setup, no manual tagging.
3. JSON-native, not just flattened. Need to handle nested JSON? Most tools force it into a spreadsheet, breaking the structure. QX Flow keeps it intact. Target nested fields via jsonPath (e.g., $.users[*].phone), mask or clean them in place, and even write aggregated results back into the original structure. No flattening. No code.
4. No formulas to memorize. Just drag and drop. Build custom logic by combining functions and fields like building blocks. Need more flexibility? Python UDFs are also supported.
5. Build once, reuse forever. Save your workflows as reusable rule sets. Share them with your team. Schedule batch jobs. You're not just solving today's problem — you're building a library for the future.
6. It's not just about masking. It's about the full pipeline: raw data → clean → standardize → calculate → aggregate → mask → export. All in one local-first workbench.
I built this for finance, audit, and compliance teams who want a better way to handle sensitive data without breaking the bank or breaking compliance rules.
No comment highlights available yet. Please check back later!
About QX Flow on Product Hunt
“Local-first ETL for sensitive data”
QX Flow was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #10 on the daily leaderboard. Open a file. QX Flow detects PII/PHI (phone, SSN, email) with 90%+ accuracy and recommends rules for clean, standardize, mask. For Excel, CSV, JSON ✅ Local-first – Runs in browser, zero uploads ✅ Smart recommendations – Suggests Protect, Clean, Standardize ✅ JSON-native – Mask nested fields via jsonPath ✅ Reusable workflows – Save & share rules ✅ Batch jobs – Automate tasks ✅ Formula builder – Drag-and-drop HIPAA, CCPA, GDPR ▶️ Demo: https://youtu.be/_TUow6zosjU 🔗 Try: qingxiflow.com
QX Flow was featured in SaaS (42.1k followers), Privacy (11.1k followers) and Data (2.3k followers) on Product Hunt. Together, these topics include over 51.6k products, making this a competitive space to launch in.
Who hunted QX Flow?
QX Flow was hunted by Jason Sun. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how QX Flow stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jason Sun
Hey Product Hunt 👋
I built QX Flow because I was tired of watching teams struggle with sensitive data in spreadsheets and manual scripts. The problem wasn't just "how do I mask this phone number?" — it was "how do I turn this messy file into something clean and safe without spending hours on formulas?"
I looked into using AI to automate the process, but most tools require sending your data to the cloud. That's a hard no when you're dealing with PII, PHI, or HIPAA-regulated data.
So I built something truly local-first. Here's what makes QX Flow different:
1. File-based ETL for sensitive data.
Open any Excel, CSV, or JSON file directly in your browser. Everything runs locally. No data ever leaves your device.
2. Smart recommendations — not "AI magic".
QX Flow uses pattern-based matching to automatically detect PII/PHI fields (phone, email, SSN, address) and suggests the right rules for masking, cleaning, or standardizing — all with a 90%+ match score. No setup, no manual tagging.
3. JSON-native, not just flattened.
Need to handle nested JSON? Most tools force it into a spreadsheet, breaking the structure. QX Flow keeps it intact. Target nested fields via jsonPath (e.g., $.users[*].phone), mask or clean them in place, and even write aggregated results back into the original structure. No flattening. No code.
4. No formulas to memorize. Just drag and drop.
Build custom logic by combining functions and fields like building blocks. Need more flexibility? Python UDFs are also supported.
5. Build once, reuse forever.
Save your workflows as reusable rule sets. Share them with your team. Schedule batch jobs. You're not just solving today's problem — you're building a library for the future.
6. It's not just about masking.
It's about the full pipeline: raw data → clean → standardize → calculate → aggregate → mask → export. All in one local-first workbench.
I built this for finance, audit, and compliance teams who want a better way to handle sensitive data without breaking the bank or breaking compliance rules.
Would love to hear what you think. Give it a try here: https://qingxiflow.com 🚀