How to Find Things Like the Things You Love — AI Knowledge Graph App (and How to Build It)

Aug 30, 2025Channel
AI Analysis
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Nodus Labs
Nodus Labs

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Video Overview

Video Details

Published9 months ago
Duration12:26
Video IDDRS-Pf7kryM
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video

Performance Metrics

Views566
Likes34
Comments2
Engagement Rate6.36%
Likes per 100 views6.01
Comments per 1K views3.53

Description

In this video, I present an app I developed using https://infranodus.com and various AI tools like v0 and Cursor Code. The app is called https://thisislike.app and it helps people find things, ideas, people, venues that are like the things they already love. You type something in and ThisIsLike shows you what else is like that. You can also choose a different domain and explore the musicians that are like your favorite writer or restaurants in a city you travel to that are like the restaurants in your hometown. I demonstrate how the app works first and then how I used @InfraNodus to build a knowledge graph backed and to enable the users of the app to save the associative knowledge graphs of the things that are like each other and share them with the outside world. I also show how you can use those graphs you build for discovering new connections you love you haven't thought of before. Timecodes: 0:00 This is like… anything you love! 2:20 Discover and share knowledge graphs of similar things 3:49 Finding related stuff across domains 4:41 Saving only specific results 5:24 How to connect ThisIsLike to InfraNodus 6:20 Different knowledge graphs for different categories 7:15 💡 Tip: Using knowledge graphs as reasoning experts in your LLM workflows 7:57 How ThisIsLike was built: AI workflows 8:50 💡 Tip: How to develop apps with AI 10:15 Using InfraNodus API as a database and login system 10:55 Finding related ideas inside InfraNodus web of knowledge Try it at https://thisislike.app To open an InfraNodus account to build your This Is Like graphs: https://infranodus.com

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