Social software without algorithmic noise

Nakama

Nakama was crafted as an alternative to ad-funded discovery. The product puts verification, subscription, profile types, groups and privacy ahead of popularity mechanics.

Private social platform Community Privacy KYC Subscription Identity Payments Discovery Web app Mobile Cloud AI
Profile types
Project Nakama Company Japonics

Introduction

Inside Nakama

People will not build meaningful connections if spam, fake accounts and ranking games dominate the experience.

What had to be trustworthy

The UX feels intentional rather than viral: fewer vanity signals, more meaningful context before contact.

KYC verified membership Paid anti-spam gate Profiles structured intent No ads user-first model

Features

Product features with technical depth

We designed trust as architecture: verification, payment gate, profile types, privacy boundaries and deterministic discovery.

Profile types

Intent is structured by profile type instead of buried in a bio.

Filter-only discovery

Search favors explicit fit over popularity ranking.

Privacy-first model

No ads, no selling visibility, no public pressure by default.

Community operations

Small organizers can run groups without meetup-style burden.

AI and automation readiness

The system keeps clean domain events and audit context for assisted workflows.

Profile builder

Users express different sides of themselves through separate profile types.

Discovery filters

Language, interests, distance and availability drive matches.

Group workspace

Organizers manage small communities without ad-driven mechanics.

Challenges

Low-trust networks

Generic social platforms optimize reach, not safe discovery and durable communities.

Technical challenges

01

Data privacy

Profiles, discovery and messaging needed strict visibility boundaries by default.

02

Trust and verification

The system had to reduce fake accounts and spam without turning onboarding into a wall.

03

Non-viral discovery

Matching had to favor explicit intent over popularity and ad-driven ranking.

Domain challenges

01

Low-trust networks

Generic social platforms optimize reach, not safe discovery and durable communities.

02

Profile builder

Users express different sides of themselves through separate profile types.

03

Discovery filters

Language, interests, distance and availability drive matches.

Technology stack

Technology stack behind the product

Nakama combines identity, subscription, profile schemas, discovery indexing, messaging, groups and privacy controls in a modular platform.

Identity JWT, verification, KYC direction
Payments Subscription and onboarding gate
Discovery Profile types, filters, indexes
Privacy Visibility, encryption direction
Web app Angular, profile and discovery UX
Mobile .NET MAUI direction, messaging surfaces
Cloud GCP, Kubernetes, subscription services
AI Safety and matching assistance direction
JWT KYC direction Profile types indexes encryption direction profile and discovery UX messaging surfaces Kubernetes Safety and matching assistance direction Payments Privacy Mobile AI KYC JWT KYC direction Profile types indexes encryption direction profile and discovery UX messaging surfaces Kubernetes Safety and matching assistance direction Payments Privacy Mobile AI KYC
verification Subscription and onboarding gate filters Visibility Angular .NET MAUI direction GCP subscription services Identity Discovery Web app Cloud Community Subscription verification Subscription and onboarding gate filters Visibility Angular .NET MAUI direction GCP subscription services Identity Discovery Web app Cloud Community Subscription

Japonics

Design social software around trust before growth loops

Nakama shows Japonics' craft in product ethics, privacy and community UX.