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recent
p/self-promotion
by
Michael Anthony
•
7d ago
Blaze Balance Engine SaaS Update May 4 2026
... latest beta room previews the future shopify_oauth_states table, including: state fingerprint payload hash signature hash session fingerprint tenant binding workspace binding Shopify store binding operator user binding expiry window consumed-at marker replay tracking callback receipt reference
redacted
metadata only The goal is to make Shopify OAuth state one-time-use, auditable, replay-resistant, tenant-bound, and safe before enabling any real exchange path. What is still left before first test users: Create the actual OAuth state vault ... ... after state exchange is proven. Token storage is its own separate gate. The system should not persist live Shopify access tokens until: OAuth exchange is working safely state replay protection is working token vault insert path is tested token
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1
p/self-promotion
by
Michael Anthony
•
12d ago
Blaze Balance Engine SaaS new update
... latest beta room previews the future shopify_oauth_states table, including: state fingerprint payload hash signature hash session fingerprint tenant binding workspace binding Shopify store binding operator user binding expiry window consumed-at marker replay tracking callback receipt reference
redacted
metadata only The goal is to make Shopify OAuth state one-time-use, auditable, replay-resistant, tenant-bound, and safe before enabling any real exchange path. What is still left before first test users: Create the actual OAuth state vault ... ... after state exchange is proven. Token storage is its own separate gate. The system should not persist live Shopify access tokens until: OAuth exchange is working safely state replay protection is working token vault insert path is tested token
redaction
0
1
p/self-promotion
by
Apoorva Sharma
•
2mo ago
Real-time PII Detection/Redaction for AI chatbots. 100% local.
... everyone , I've been building Prompt Armour a browser extension that detects and
redacts
sensitive data in real-time inside ChatGPT, Gemini, and Claude before you hit send. The problem: every time you paste code, emails, documents, or customer data into an AI chatbot, that data potentially gets stored, logged, or used for training. Most people don't think twice about it. How it works: - Scans your input in real-time as you type or paste - Detects names, emails, phone ... ... paint highlights without touching the DOM. Built with Plasmo, TypeScript, React. Available on Chrome Web Store now, Firefox version pending review. I'm trying to figure out what to build next. A few things on my radar: - Standalone
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p/claude-code
by
Jaid Jashim
•
8mo ago
[Proposal] Bridge Memory: Safely “borrow” context across projects
... composing. * Scoped & read-only: Chips are TTL (time-to-live) bound, no auto write-back; your current project s memory stays clean. * Inline provenance: Replies show which chip informed which part. * Admin guardrails: Allow/deny lists, approvals, label-based
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(PII/secrets), and audit logs. Why it helps * Cut repeat explanations across repos/teams. * Reuse proven auth/logging/CI/CD patterns instead of reinventing. * Faster onboarding by bridging Architecture + Conventions. * Safer incident response: pull the right runbook just for this thread. MVP flow 1. Compose ... ... project/label/item. 3. Attach 1 3 chips (e.g., Auth , Runbook ). 4. Send. Chips are used for this reply only and auto-expire. Privacy & compliance * Default-deny cross-project recall; everything is explicit & logged. * Sensitive labels can be auto-
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