25
Built a thing that fake-calls your AI agent like a pissed-off customer
r/indiehackers
6/25/2025
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Cekura | https://www.producthunt.com/posts/cekura | AI Testing Tool | Simulates real conversations (voice + chat), generates edge cases (accents, background noise, awkward phrasing), stress tests agents, auto-generates test cases, tracks hallucinations, flags drop-offs, monitors instruction compliance |
USER NEEDS
Pain Points:
- Manual testing of AI agents is time-consuming and inefficient
- Bugs often slip into production despite manual testing
- Difficulty simulating real-world edge cases (e.g., accents, background noise, medication name mishearing)
- Lack of automated testing tools for voice/chat AI agents
Problems to Solve:
- Automating QA for AI agents to prevent production bugs
- Efficiently testing edge cases that are hard to simulate manually
- Scaling testing capacity beyond human limitations
- Ensuring AI agents follow instructions correctly in diverse scenarios
Potential Solutions:
- Automated simulation tools that generate diverse test cases
- Systems that track hallucinations and drop-offs
- Stress testing under realistic conditions
- Automated reporting of agent performance issues
GROWTH FACTORS
Effective Strategies:
- Building tools to solve personal pain points experienced during development
- Transforming internal tools into commercial products
- Focusing on specific niches (e.g., healthcare AI agents)
Marketing & Acquisition:
- Showcasing real pain points and solutions through storytelling
- Leveraging Product Hunt for product launch
- Offering interactive demos (e.g., fun test where agent calls user)
- Targeting specific user groups (e.g., builders of customer-facing voice/chat agents)
Monetization & Product:
- Solving critical QA problems for AI developers
- Product-market fit demonstrated by solving personal development challenges
- Value proposition centered on time savings and bug prevention
User Engagement:
- Creating interactive experiences (e.g., demo calls with QA reports)
- Engaging communities like r/indiehackers for feedback
- Encouraging knowledge sharing (e.g., 'trade notes' with others in the space)