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Just made my first sale with my chrome extension side project after 9 months
r/microsaas
8/15/2025
Content Summary
The author of a Chrome extension called MaxMemory shared their achievement of making their first sale after 9 months of development. The extension provides long-term memory for ChatGPT, addressing a common pain point for users who find the built-in memory too limited. Initially, the product grew organically to 300 users before transitioning into a paid SaaS offering with a Pro plan. Key factors in the success included reducing friction by removing API key requirements, leveraging the Chrome Web Store for organic traffic, and using Gumroad for payments. The author also mentioned plans to expand to other AI platforms and improve the product based on user feedback.
Opinion Analysis
Different Viewpoints and Opinions
Mainstream Opinion:
- Many users expressed appreciation for the idea of adding long-term memory to ChatGPT, acknowledging it as a real pain point.
- There was strong support for the approach of reducing friction by eliminating API key requirements, which significantly improved user activation.
- Most comments were positive and encouraging, highlighting the importance of persistence and iteration in building a successful SaaS product.
Controversial or Conflicting Views:
- Some users questioned the sustainability of the business model, particularly regarding the cost implications of increased usage and the potential for negative profit margins.
- A few users suggested expanding the product to include more AI platforms and improving cross-platform memory sharing, which the author acknowledged as future goals.
- There was no major disagreement about the value of the product itself, but some debate around the scalability of the current model and pricing strategy.
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| MaxMemory | https://chromewebstore.google.com/detail/maxmemory-long-term-memor/bdmhcmmcjkgnecahmeahfbjjelkbliea | Chrome Extension | Provides long-term memory for ChatGPT, allows users to store and recall conversation context; includes a Pro plan with unlimited memories |
| Firebase | https://firebase.google.com/ | Backend Services | Used for authentication and database management |
| Firestore | https://firebase.google.com/products/firestore | Database | Used for storing user data |
| Node.js | https://nodejs.org/ | Backend Development | Used for the backend server |
| Qdrant | https://qdrant.tech/ | Vector Database | Used for storing and managing vector embeddings |
| Gumroad | https://gumroad.com/ | Payment & Subscription | Used for handling Pro plan subscriptions and payments |
USER NEEDS
Pain Points:
- ChatGPT's limited memory functionality that forgets key details and context in conversations
- Users needing a way to retain and recall conversation history across multiple interactions
- The need for an easy-to-use solution without requiring API keys
Problems to Solve:
- Providing long-term memory for AI chatbots like ChatGPT
- Reducing friction in the user onboarding process
- Creating a sustainable pricing model for a Chrome extension
Potential Solutions:
- Developing a Chrome extension that adds long-term memory functionality to ChatGPT
- Removing API key requirements to reduce friction and increase user activation
- Using a subscription-based model (e.g., Pro plan) for monetization
GROWTH FACTORS
Effective Strategies:
- Focusing on reducing friction in the user experience by removing API key requirements
- Leveraging organic growth through the Chrome Web Store
- Iterating on the product based on user feedback and usage patterns
Marketing & Acquisition:
- Relying on organic traffic from the Chrome Web Store for initial user acquisition
- Promoting the product through community engagement and sharing progress with other developers
Monetization & Product:
- Offering a Pro plan with unlimited memory as a paid subscription model
- Using Gumroad for payment processing and subscription management
- Pricing the Pro plan at $49/year, which is profitable given low API costs
User Engagement:
- Encouraging user feedback through direct engagement in comments
- Building a community around the product by sharing milestones and updates
- Using a simple and intuitive UI to improve user retention and satisfaction