8:00Search results
- Category: MVP and product-market fit
Results for “ides”
55 videos8:00
6:32Ideal customers and market segments
Ideal Customer Profile & Product Market Fit for B2B SaaS
PersonaKart
53:39Agentic coding and AI development
Using Claude Code and Supabase to Create a Hand-Tracking App
Supabase
1:19:48
29:46Tool selection and agent orchestrationDemo
Google AI studio replaces your AI tech stack (full demo)
Greg Isenberg
56:14
14:56Building SaaS and AI products
5 Best AI SaaS Business To Start In 2026 (Copy & Paste In India)
Ayushman Pandita
8:00Building SaaS and AI products
Truely Delightful UX for Authentication with Next.js, v0 and Supabase
Supabase
27:15
53:03Building SaaS and AI products
Using Cursor to have AI build out a social network app powered by Next.js and Supabase
Supabase
26:14Building SaaS and AI productsTutorial
Build a Complete AI Agent with Lovable and Supabase (Full Tutorial)
Supabase
14:07Building SaaS and AI products
From MIT AI Lab to a 9-Figure Exit: How Mark Zides Builds AI Agents for Startup Growth
Supered
14:07Building SaaS and AI products
MIT to 9 Figures: How Mark Zides Is Rewriting Startup Growth With AI Agents
Mark Zides
1:11:44Building SaaS and AI productsCourse
React JS Full Course | Build an App and Master React in 1 Hour
JavaScript Mastery
9:35
1:49:46Building SaaS and AI productsTutorial
Flutter tutorial - Build an Uber clone with Flutter and Supabase
Supabase
23:56
6:24Building SaaS and AI products
Building a stackoverflow clone with Nextjs and Appwrite
Hitesh Choudhary
4:49
11:44
6:59
8:11Building SaaS and AI products
Scrape websites from Edge Functions using AI - JigsawStack & Supabase
Supabase
19:53
3:03Building SaaS and AI products
LangChain Academy New Course: Building Ambient Agents with LangGraph
LangChain
Sources and selection
An MVP needs to do a useful job well enough for someone to try it. Browse product architecture, feature scope, implementation, security and early usage measurement, alongside discussions of product-market fit. This section is for builders moving from a promising idea to a product they can put in front of users.
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes