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Post-quantum cryptography as drop-in REST APIs. ML-KEM-768 (formerly Kyber) for encryption and ML-DSA-65 (formerly Dilithium) for signatures — both NIST-standardized in August 2024 (FIPS 203 & 204). Private keys never leave secure enclaves. SDKs for Python, Node.js, Go. MCP server for AI agents. Built by an engineer who spent 12 years on U.S. federal systems (VA, DHS, USCIS, DFC) — making the migration practical for everyone else. Start free.
Hey Product Hunt 👋
I'm Vincent. Spent 12 years building systems for the U.S. government — VA, DHS, USCIS, now DFC.
A year ago I realized something uncomfortable: almost everything I've helped build will be broken by quantum computers. NIST says crackable within the next decade. And "harvest now, decrypt later" attacks are collecting encrypted data TODAY.
NIST finalized the replacement standards in August 2024 (FIPS 203 & 204). But when I tried to migrate, I couldn't find developer-friendly tools — so I built Qpher.
Three things I focused on:
→ NIST standards from day one (ML-KEM-768 + ML-DSA-65)
→ Private keys never leave secure enclaves (no export
endpoint, by design)
→ 3 lines of code — Python, Node.js, Go SDKs, plus MCP
server for AI agents
Free tier for prototypes.
Two questions for this community:
• If you're in financial service / healthcare / gov — what's your PQC migration timeline?
• If you're a dev — what would make you actually try a PQC API vs sticking with AES + RSA today?
Happy to answer anything technical. Q-Day is coming whether we're ready or not. 🛡️
Qpher was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #141 on the daily leaderboard. Post-quantum cryptography as drop-in REST APIs. ML-KEM-768 (formerly Kyber) for encryption and ML-DSA-65 (formerly Dilithium) for signatures — both NIST-standardized in August 2024 (FIPS 203 & 204). Private keys never leave secure enclaves. SDKs for Python, Node.js, Go. MCP server for AI agents. Built by an engineer who spent 12 years on U.S. federal systems (VA, DHS, USCIS, DFC) — making the migration practical for everyone else. Start free.
On the analytics side, Qpher competes within API, Developer Tools and Encryption — topics that collectively have 612.9k followers on Product Hunt. The dashboard above tracks how Qpher performed against the three products that launched closest to it on the same day.
Who hunted Qpher?
Qpher was hunted by Vincent Wang. 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.
For a complete overview of Qpher including community comment highlights and product details, visit the product overview.
Vincent Wang