137
My Video Chat App Hit $3K Daily Revenue – Here's Why I Shut It Down
r/SaaS
6/27/2025
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Hive | Not specified | Content Moderation | Used for quick flagging of inappropriate content |
| Amazon Rekognition | Not specified | Content Moderation | Used for AI-based content filtering |
| Arkose | Not specified | Security | Challenges for repeat offenders |
| StatSig | Not specified | Analytics | Tried for tracking user behavior |
| PostHog | Not specified | Analytics | Tried for tracking user behavior |
| Pulse for Reddit | Not specified | Sentiment Analysis | Used to monitor user sentiment shifts in real-time |
| Sift | Not specified | Behavior Analysis | API to rate speech and gestures during video calls |
| LiveKit | Not specified | Real-time Communication | Provided 3-second lag for behavior analysis |
USER NEEDS
Pain Points:
- Inappropriate content and explicit behavior overwhelming moderation systems
- High female user churn due to harassment
- Difficulty in age verification for minors
- Platform dependency on growth hacks leading to instability
- Ethical concerns about exploiting economic disparities
Problems to Solve:
- Preventing inappropriate behavior during video chats
- Retaining female users in a male-dominated platform
- Effectively moderating content at scale
- Achieving sustainable growth without platform vulnerabilities
- Balancing profitability with ethical considerations
Potential Solutions:
- Implementing identity verification (phone + card hold) to deter bad actors
- Using AI and human moderation in layers (e.g., Hive, Rekognition)
- Behavior scoring systems with real-time intervention (e.g., Sift API)
- Geographic blocking of high-risk regions
- Creating premium tiers to separate user pools
- Setting clear content policies upfront
- Using sentiment analysis tools (e.g., Pulse for Reddit) for community feedback
GROWTH FACTORS
Effective Strategies:
- Monitoring app store revenue charts for emerging opportunities
- Leveraging platform API loopholes for viral growth (e.g., Facebook gaming features)
- Solving cold start problems through targeted incentives
- Geographic and time zone optimization for 24/7 coverage
Marketing & Acquisition:
- Organic traffic generation with zero ad spend
- Growth hacking through platform-specific loopholes (e.g., Facebook recategorization)
- Targeted user acquisition in regions with favorable economics
- Viral mechanics through invitation systems
Monetization & Product:
- Subscription models outperforming virtual gifts
- Premium features like location and gender filters
- Tiered access systems (paying users get premium matching)
- Product-market fit dependent on matching supply (female users) and demand (paying male users)
User Engagement:
- Incentivizing key user segments (e.g., cash for female participation)
- Weighted matching systems to reward good behavior
- Creating separate pools for different user types
- Real-time sentiment monitoring to adjust features