What to Watch – aggregated ratings across streaming services

Name: What to Watch – aggregated ratings across streaming services
Availability: InStock
Author: ProfessorPo

by ProfessorPo·Feb 27, 2026·2 points·1 comment

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AI Analysis

●●SolidSolve My ProblemCozy

Cross-streaming discovery beats opening five apps, but Reelgood and JustWatch already do this.

Strengths

•Removes friction of checking availability across Netflix, Prime, Apple, Disney+ in one place.
•Community ratings + IMDb creates quick skip/watch decision without reading reviews.
•Clean, fast-loading grid UI with sensible filters (service, genre, sorting).

Weaknesses

•JustWatch and Reelgood already aggregate streaming availability with ratings—no clear differentiation.
•Built over 400 Claude iterations with no-code approach suggests limited technical moat or custom insight.

Post Description

I kept running into the same problem: trying to find something new to watch, opening multiple streaming apps, and Googling titles one by one because the apps don't tell you if something is actually worth watching.

So I built What to Watch, which aggregates content across major streaming services and reduces discovery to a simple Watch or Skip decision using IMDb and community ratings.

I hadn’t written code since high school — this was built over ~400 iterations using Claude and Replit.

Still very early and mostly trying to learn how people actually decide what to watch and how broad this use case is. Would love feedback from the HN community.