13:33Problem hypotheses and idea validation
I Built an AI Team to Find My Next Startup Idea (Hermes Agent)
Vivek Shetye
13:33Problem hypotheses and idea validation
Vivek Shetye
6:32Ideal customers and market segments
PersonaKart
18:02Ideal customers and market segments
TK Kader
7:45Ideal customers and market segmentsTutorial
Denis Shatalin
3:39:41Agentic coding and AI development
Sonny Sangha
18:41MVP scope and feature prioritizationTutorial
Kalungi - B2B SaaS marketing and go-to-markets
6:10MVP scope and feature prioritizationTutorial
An Operator's Blog - with Soumitra Sharma
3:53:48Architecture, tech stack and project context
Sonny Sangha
2:02Architecture, tech stack and project context
Clerk
21:45Building SaaS and AI products
Clerk
43:15Building SaaS and AI productsTutorial
Sonny Sangha
17:24Building SaaS and AI productsTutorial
Clerk
2:58:46Building SaaS and AI products
Sonny Sangha
4:24:12Building SaaS and AI products
Sonny Sangha
20:15Building SaaS and AI productsTutorial
Sonny Sangha
6:47Building SaaS and AI products
QUASA
53:49Building SaaS and AI products
SaaStr AI
5:27:28Building SaaS and AI products
SaaStr AI
2:25
34:14Analytics, activation and retention baselinesTutorial
MicroConf
2:28Analytics, activation and retention baselines
Amplitude
3:42
6:24Feedback, bug triage and iterationTutorial
The Yield Matrix
7:43Product-market fit and repeat usageTutorial
Kalungi - B2B SaaS marketing and go-to-markets
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