QX Flow
Local-first ETL for sensitive data
What it does
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
Does the same job
all alternatives →- LPLocal Privacy Firewall-blocks PII and secrets before ChatGPT sees themDec 2025 · github.com · ▲111
OP here. I built this because I recently caught myself almost pasting a block of logs containing AWS keys into Claude. The Problem: I need the reasoning capabilities of cloud models (GPT/Claude/Gemini), but I can't trust myself not to accidentally leak PII or secrets. The Solution: A Chrome extension that acts as a local middleware. It intercepts the prompt and runs a local BERT model (via a Python FastAPI backend) to scrub names, emails, and keys before the request leaves the browser. A few notes up front (to set expectations clearly): Everything runs 100% locally. Regex detection…
- ALA local-first, reversible PII scrubber for AI workflowsDec 2025 · medium.com · ▲38
Hi HN, I’m one of the maintainers of Bridge Anonymization. We built this because the existing solutions for translating sensitive user content are insufficient for many of our privacy-concious clients (Governments, Banks, Healthcare, etc.). We couldn't send PII to third-party APIs, but standard redaction destroyed the translation quality. If you scrub "John" to "[PERSON]", the translation engine loses gender context (often defaulting to masculine), which breaks grammatical agreement in languages like French or German. So we built a reversible, local-first pipeline for Node.js/Bun. Here…
- PDPII Detective, Leveraging LLMs for Cost-Effective PII Detection2024 · github.com · ▲6
PII Detective is a web application designed to identify, classify, and protect Personally Identifiable Information (PII) in data platforms such as BigQuery and Snowflake. It leverages LLMs to identify PII column names, and with human-in-the-loop validation, uses Dynamic Data Masking Policies to easily enforce Access Control Limits (ACLs) while minimizing user friction. For comparison, GCP has a "Sensitive Data Protection" service which promises similar functionality, but it can become extremely costly since it runs hundreds of regex queries on the entire contents of the table. For…
More life & fun this month
the category →- TL
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Photosynthesis fires two of your iPhone
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Your multimedia mentor that takes you from mid to great
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Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com