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Made $32,000 with my Voice stack in 5 months. Here's what worked and what didn't
r/SaaS
6/28/2025
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| SuperU | https://www.superu.ai/ | Voice AI Platform | White-label solution for agencies to resell to clients. Automates outbound/inbound calls for repetitive tasks like event announcements or bookings. |
| Gemini Live | Not provided | Text-to-Speech (TTS) | Part of tech stack for TTS. |
| Deepgram | Not provided | Speech Recognition | Part of tech stack for speech recognition. |
USER NEEDS
Pain Points:
- Cold calling agencies feels pushy and ineffective
- Social media content generates engagement but no leads
- Paid ads result in high clicks but low-quality leads
- Customizing Voice AI for different industries/use cases is time-consuming
- Handling HIPAA compliance and opt-outs for automated calls
Problems to Solve:
- Finding effective ways to reach agency decision-makers
- Generating quality leads for B2B Voice AI solutions
- Scaling hyper-personalized outreach without losing human touch
- Ensuring Voice AI solutions are compliant with regulations like HIPAA
- Making Voice AI customization scalable for agencies
Potential Solutions:
- Hyper-personalized LinkedIn outreach to target specific agency owners
- Email campaigns with simple, attention-grabbing hooks (e.g., "I was trying to call {{first name}}")
- Leveraging word-of-mouth referrals from satisfied clients
- Charging $2k-$5k for training + pilot projects to handle customization
- Using a per-client/per-workspace pricing model for scalability
- Focusing on agency partnerships over direct sales
GROWTH FACTORS
Effective Strategies:
- Doubling down on what works (e.g., LinkedIn outreach, email campaigns)
- Focusing on agency partnerships for passive income opportunities
- Prioritizing real conversations over vanity metrics
Marketing & Acquisition:
- Hyper-personalized LinkedIn messages (manual filtering and crafting)
- Email campaigns with high open rates using simple hooks
- Word-of-mouth referrals from happy clients
- Avoiding ineffective channels like cold calling, social media content, and paid ads
Monetization & Product:
- Pricing model: Per-client/per-workspace fees for scalability
- Customization fees: $2k-$5k for training + pilot projects
- Product focus: Automating repetitive tasks (event announcements, bookings)
- Product-market fit: Agencies can upsell to existing clients as passive income
User Engagement:
- Building trust through personalized outreach
- Delivering results that lead to natural referrals
- Maintaining human touch in communications