6
6 failed startups. Then 900 users in first week - no ads, no posts. What changed?
r/SaaS
7/21/2025
Content Summary
The author shares their experience of launching 6 failed startups and then successfully gaining 900 users in the first week for a new SaaS product through organic word-of-mouth referrals. They emphasize the importance of choosing a problem related to their background, validating the problem with a quick landing page, and building a Minimum Loveable Product using no-code and AI tools.
Opinion Analysis
The mainstream opinion is that choosing a problem related to one's background and validating it early can lead to successful user acquisition. There is a debate about the use of AI in writing and whether it affects trust. Some users question the number of paying users and the proof of user claims. The author defends the use of AI for summarizing points but acknowledges the importance of human touch in writing.
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Cursor AI | - | AI Development | Used to speed up development process |
| Google Analytics | - | Analytics | Used for tracking traffic and user behavior |
| Microsoft Clarity | - | Analytics | Used for tracking user interactions and behavior |
| No-code tools | - | Development | Used for creating a landing page quickly |
USER NEEDS
Pain Points:
- Difficulty in validating user needs and problems
- Struggling with user acquisition methods]
Monetization & Product:
- [List insights about pricing, features, or product-market fit]
User Engagement:
- [List community building and user engagement techniques]
GROWTH FACTORS
Effective Strategies:
- Validating the problem with a quick landing page
- Building a Minimum Loveable Product (MLP)
- Using no-code and AI tools for rapid development
Marketing & Acquisition:
- Leveraging personal networks for initial user acquisition
- Utilizing word-of-mouth referrals
Monetization & Product:
- Focusing on providing high value and user experience in the MVP
User Engagement:
- Creating a network effect through referrals
- Tracking user behavior with analytics tools