29:46Tool selection and agent orchestrationDemo
Google AI studio replaces your AI tech stack (full demo)
Greg Isenberg
Search results
- Category: MVP and product-market fit
Results for “presentation”
13 videos29:46
13:35Architecture, tech stack and project context
Building AI Agents and Workflows for Full-stack Apps with Convex Components
Convex
9:33Building SaaS and AI products
Next.js is all you need for a fast-growing startup (Elizabet Oliveira)
Vercel
36:39Building SaaS and AI productsTutorial
How to build a Developer-First Startup | Supabase Select 2025
Supabase
34:36
4:15:36Building SaaS and AI products
🔴 Let's build a Next-Gen AI Portfolio with NEXT.JS 16 (OpenAI AgentKit, MCP, Sanity, Clerk) | 2026
Sonny Sangha
6:35
7:13
1:09:38Building SaaS and AI productsCourse
How to Build & Sell AI Agent Workforces as a Beginner | FULL COURSE
Liam Ottley
28:17Analytics, activation and retention baselinesTutorial
Amplify 2022: How to Use Amplitude for Marketing Analytics
Amplitude
4:26Evidence-driven iteration and pivotsTutorial
How to Create Pivot Tables in Excel: A Step-by-Step Tutorial
HubSpot Marketing
6:11Product management and release planning
Product Management in Startups: MVP to 4.0 roadmap and product manager tasks
Slidebean
1:12:49Founder communities and acceleratorsTalk
Idea Validation and Customer Development – Mike Taber – MicroConf Starter 2017
Rob Walling
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