Nepmind Labs
AI-powered dating appSocial / DatingCompletedDatingAI MatchingMobile

Knotd

AI-powered dating platform focused on meaningful relationships and long-term compatibility.

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Project snapshot
Client
Knotd
Type
Startup
Region
South Asia
Engagement
MVP Build
Duration
7 months
Started
Q3 2025
MobileBackendAPIData
Objective

Launch a privacy-first dating experience that increases high-intent matches through smarter compatibility signals.

Audience
Young professionals seeking long-term relationshipsIntentional datersUrban singles aged 23-38
Platform
MobileBackendAPIData
Problem

Users were fatigued by shallow swiping apps and lacked control over privacy while trying to find serious matches.

Solution

Built a personality-aware matching engine with privacy controls, flexible local discovery, and rich in-app conversation tools to drive higher quality connections.

Showcase

A closer look at Knotd

Selected screens across the product — from marketing surfaces to in-app flows.

Mobile
Native iOS & Android flows
Authentication
Discovery feed
Smart swipe
Rich messaging
New match
Profile and privacy
Features

What we built

The core capabilities shipped as part of the engagement.

AI-powered compatibility matching
Privacy controls for age, location, read receipts, and profile discoverability
Local and travel-city discovery
Free weekly Super Likes
Unlimited rewind for swipes
Text, voice notes, GIFs, reactions, and conversation starters
Architecture

How it's built

The stack and architectural layers powering the product.

Core stack
FlutterNode.jsPostgreSQLAWS

Backend

Node.jsNestJS

Mobile

Flutter

Data

PostgreSQLRedis

Infrastructure

AWS ECSRDSCloudWatchGitHub Actions

Integrations

Firebase Cloud MessagingOpenAI APIGIPHY API
Compliance & security
Encryption at rest and in transitProfile visibility and consent-based discoveryAutomated moderation and abuse reporting workflow
Delivery

Timeline & team

How the engagement was structured across 24 weeks of work.

Phase 1
3w
Discovery
Phase 2
16w
Build
Phase 3
5w
QA
Team on this engagement
Product ManagerUI/UX DesignerFlutter DeveloperBackend EngineerML EngineerQA Engineer
Impact

Results that mattered

Measurable outcomes tracked against the KPIs that drove the build.

Match-to-conversation rate
41% increase after launch
7-day user retention
34% to 52%
Reported unwanted interactions
29% decrease
Outcomes

What changed for the business

Delivered a production-ready dating MVP with AI-assisted matching
Improved trust through user-controlled privacy and safety settings
Increased meaningful conversations with richer messaging features

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