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ProblemSifter
RISING
#1452 Radar 37

Validates SaaS ideas and finds customers using AI analysis of online communities.

Track this product and keep its revenue milestones in your Radar.
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Product memo

SaaS founders and makers use ProblemSifter to validate new ideas and identify potential customers. It analyzes data from Reddit and Hacker News, delivering a data-driven alternative to manual market research. This approach helps founders quickly pinpoint market opportunities and target audiences.

For who

SaaS founders and makers

Solves what

Validates SaaS ideas and finds potential customers using AI analysis.

  • AI-powered idea validation
  • 6 data source analysis
  • Customer identification
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In their own words

Find your next profitable SaaS idea.

Analyzes Reddit, Hacker News, IndieHackers, Product Hunt & G2 Reviews to find validated opportunities and ready-to-buy customers for you in minutes.

Commercial cues

Pricing snapshot one time pricing

Model

one time

Free tier

No

Trial

No

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • One-time payment removes subscription friction for early-stage founders.
  • Tiered analysis bundles offer more value for deeper market research.
  • Fixed pricing simplifies purchasing decisions for focused validation tasks.

Operator context

Founded

May 2025

HQ

France

Platform

Web app

Audience

Founders

Payments

Stripe

Tech stack

Stripe

Builder Strategy

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable
About ProblemSifter Expand

ProblemSifter provides SaaS founders and makers with an AI-powered tool for validating new ideas and discovering potential customers. It analyzes data from online communities like Reddit and Hacker News, offering a simplified alternative to time-consuming manual market research.

This focused approach helps users quickly identify viable opportunities and understand their target audience. The product's one-time pricing model removes subscription friction, making it an accessible option for founders seeking data-backed insights without ongoing commitments.