Add Cursive's PSI deployments (#14)

* add post

* Update 2025-01-26-Cursive Consumer Private Overlap.md

Author: RiverRuby

_data/authors.yml

@@ -44,4 +44,8 @@ remco:
   url: https://2π.com/
   twitter: recmo
 
+vivek:
+  name: Vivek Bhupatiraju
+  url: https://vivs.wiki
+  twitter: viv_boop
 # Add new authors here

_posts/2025-01-26-Cursive Consumer Private Overlap.md

@@ -0,0 +1,27 @@
+---
+title: Cursive Consumer Private Overlap
+date: 2025-01-26 12:00:00 -0800
+categories: [Consumer] [Human connection]
+toc: true
+image:
+    path: https://i.imgur.com/wK895JJ.gif
+author: vivek
+---
+
+Cursive built demos of private set intersection between two consumer's sets of personal data: contacts, event attendance, emails, personality quizzes, hiring compatibility and more.
+
+The initial demos used a combination of MPC and FHE implemented in https://github.com/RiverRuby/2P-PSI. It uses interactive multi-party BFV to do a dot-product between two bitvectors to discover overlap. This was deployed at [ZKSummit11](https://www.cursive.team/blog/zk-summit) over contacts data collected with NFC, and the [Signature Singularity Residency](https://sigsing.vercel.app/) over event attendance data collected from your email.
+
+The next demo used another combination of MPC and FHE implemented in https://github.com/cursive-team/pz-hiring. It uses non-interactive multi-party FHEW using the [Phantom-zone](https://github.com/gausslabs/phantom-zone) VM, which enabled more complex overlap logic. Specifically it privately checks if a candidate's salary requirements are below a recruiter's salary budget, detecting compatibility without revealing other information.
+
+The final demo used a simple scheme involving computing a HMAC of the data label alongside a shared secret generated with ECDH. This serves as a PRF for the data. The HMACs for a pair Alice and Bob would be stored on a server, and a server would be trusted to check which HMACs overlap without colluding with either party to break the other party's privacy. This was implemented in https://github.com/cursive-team/connections.
+
+### Code
+
+- Private set intersection over bitvetors: https://github.com/RiverRuby/2P-PSI
+- Private hiring matcher: https://github.com/cursive-team/pz-hiring
+- HMAC / PRF: https://github.com/cursive-team/connections
+
+### Presentation
+
+- Digital pheromones (a larger concept beyond just private overlap): https://app.devcon.org/schedule/LMCG3V