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Henrik Jess Nielsen b7a435f8b9 ajusted readme
2026-05-07 08:33:46 +02:00
2026-05-07 08:33:46 +02:00

Social Proximity

Human-first proximity networking powered by consent, shared interests, and conversational AI.

Status: Early concept / prototype phase


Overview

Social Proximity is a privacy-focused mobile application that helps people naturally discover and connect with others nearby — through mutual consent and shared interests, not algorithms or swiping.

Using Bluetooth Low Energy (BLE), the app detects when two users are physically close — at a café, conference, coworking space, airport, or social event — and suggests low-pressure conversation starters based on what they have in common.

The goal is not tracking or dating. It's about reducing social friction and letting meaningful conversations happen organically.


Core Idea

Instead of endless swiping, cold approaches, or awkward introductions, Social Proximity creates a subtle bridge between people already sharing the same physical space.

When proximity and mutual interest align, users might see something like:

"Someone nearby also works with DevOps and enjoys philosophy & hardstyle."

If both users are open to connecting, the app reveals more and suggests natural conversation topics — no pressure, no commitment.


Features

📡 Proximity Detection

  • Bluetooth Low Energy (BLE) based nearby detection
  • Approximate distance awareness (13 metres)
  • No GPS required
  • Both users must explicitly opt in before any information is shared
  • No passive tracking or forced visibility

🎯 Shared Interests

Users can optionally share hobbies, professional interests, passions, and topics they enjoy discussing. Only matched interests are surfaced to the other person.

💬 AI Conversation Starters

The app generates natural icebreakers based on shared context, for example:

  • "You both work with cloud infrastructure."
  • "You both enjoy early hardstyle."
  • "Maybe ask about Kubernetes homelabs."

🔒 Privacy First

Designed from the ground up with privacy in mind:

  • No live maps or exact locations
  • No movement tracking or location history
  • Ephemeral identifiers
  • Minimal data retention

Use Cases

Social Proximity fits naturally wherever people gather:

  • Conferences and networking events
  • Coworking spaces and university campuses
  • Cafés and airports
  • Social discovery for introverts
  • Professional networking without the business card awkwardness

Vision

Technology should help humans connect more naturally — not isolate them further.

Social Proximity aims to create small moments of serendipity in everyday life: the kind that used to happen by chance, now made possible through respectful, consent-driven social discovery.


Guiding Principles

Principle What it means
Human-first The app should feel calm, respectful, and natural
Consent-first No interaction happens without mutual participation
Privacy-first Users should never feel monitored or exposed
Minimalism No noisy notifications or addictive mechanics

Technical Direction

Mobile

  • React Native or Flutter
  • Native BLE integration

Backend

  • FastAPI + WebSockets
  • Redis + PostgreSQL

Infrastructure

  • Docker · Kubernetes · Azure / cloud-native

Future Ideas

  • Event mode — optimised for conferences and meetups
  • Café mode — relaxed, low-key discovery
  • Temporary "open to talk" sessions — time-boxed availability
  • AI-generated introductions — personalised openers beyond icebreakers
  • Shared mood / interests — richer contextual matching
  • UWB support — more accurate proximity sensing

License

MIT License


Created by Henrik

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