🤖

AI Verdict

Confidence: Medium
⚠️ High Risk

Current product shows signs of failure ($0 MRR, negative growth) but the market need is valid. Better opportunities exist in building more comprehensive validation tools with proven traction.

💰

Financials

MRR$0
30d Growth-23.0%
🌱 Early Stage
🏗️

Buildability

37
Challenging
ProblemSifter

ProblemSifter

一个分析subreddit和其他社区的平台,旨在识别反复出现的问题,提出可行的SaaS创意,并在启动时提供潜在用户的联系名单。

🤖AI Deep Dive

AI tool analyzing communities for SaaS ideas with $0 MRR and -23% monthly growth.

📊
Market SizeMedium ($100M-$1B) - includes idea validation tools, market research platforms, and startup ideation services
📈
Growth StagePre-PMF
⏱️
Build Time8-12 weeks for core functionality
💼
Business ModelSaaS
🏰Competitive Moat

Weak - primarily data aggregation with minimal proprietary technology or network effects

⚔️Main Competitors
Exploding TopicsTrends.vcGoogle TrendsManual Reddit/community analysisSparkToro
👥Who's it for
  • Indie hackers and solo founders seeking validated SaaS ideas through community problem analysis
  • Product managers and startup studios researching market opportunities
💡Market Opportunities
  • No validation of idea viability beyond problem identification
  • Missing integration with validation tools (surveys, landing page testing)
  • No community feedback loop for idea refinement
🎯Differentiation Ideas
  • Add validation metrics (search volume, competition analysis)
  • Create idea-to-launch workflow
  • Build community of problem solvers
  • Integrate with no-code tools for rapid prototyping
📣Growth Channels
Content marketing (blog posts about SaaS ideas)Twitter/X communities for indie hackersProduct Hunt launchesPartnerships with startup accelerators
🚀Viral Potential

Medium - potential for shareable insights and community-sourced problem identification

⚠️Risk Factors
  • Market validation tools are crowded with established players
  • Reddit API changes could break core functionality
  • Idea generation has low switching costs for users
  • Potential copyright issues with user data extraction
💰Pricing Reference
$19$39$89
🚀How to Build Something Similar
Complexity
4/10
Estimated Cost

$5,000-$15,000 for MVP including development and initial marketing

Key Features
  • Reddit API integration for subreddit scraping
  • NLP analysis for problem pattern detection
  • User contact extraction from communities
  • Basic dashboard for idea visualization
  • Export functionality for user lists
Suggested Stack
Next.js/React frontendPython/Node.js backendPostgreSQL for data storageOpenAI API for NLPVercel/Netlify for hosting
MVP 范围

Skip: Multi-community analysis beyond Reddit, Advanced AI validation scoring, Integration with other platforms, Team collaboration features

🔍SEO Keywords
SaaS ideas 2024find startup problemsReddit market researchvalidate business ideascommunity problem analysis
Revenue Trends
🤖 AI Revenue Insights
📉TrendFalling (0.0%)
💰Avg daily revenue$0
📊StabilityLow
💡Revenue is declining—worth investigating
Daily Revenue2025-06-24 → 2025-12-16
$55$35$15-$506-2406-2507-1911-1012-16Revenue$49$1
Hourly Revenue12-27 02:00 → 12-27 02:00
No data available.
Tech Stack
🛠️Tech Stack
⚛️Frontend
Next.js
☁️Hosting
Vercel
💳Payment
Stripe
📊Analytics
Google Analytics
💬Support
Crisp
Market Insights
Ask AI
📊Traffic Data
👥
Monthly Visits
438-42.52%
📈
Bounce Rate
18.01%
⏱️
Avg. Duration
00:01:00
📄
Pages/Visit
2.89
🔄 Traffic Sources
search41.0%
direct38.8%
referrals14.2%
social3.8%
paidReferrals2.1%
🌍 Top Regions
India
100.0%
🔑 Top Keywords
KeywordTrafficVolumeCPC
problemsifter310440$0.00
reddit sentiment analysis0390$5.75
market reseach saas reddit0160$0.00
reddit sentiment analysis model0140$0.00
🌐 Domain Info
Created2025-4-28
Expires2026-4-28
RegistrarHOSTINGER operations, UAB
DNS Servers
NS1.DNS-PARKING.COMNS2.DNS-PARKING.COM
📊How It Compares
MRR$0
Top 100%
Total Revenue$150
Top 28%
30d Growth-23.0%
Top 45%
Followers50
Top 78%
Category Average
ai
Avg MRR$11,554
Avg Growth+85.1%
Products in Category309
🎯How competitive?
💰Are people paying?
📈Is it growing?
ProblemSifter · MRR $0 | ShipByData