One of the main drivers behind ai-svc was to significantly improve AI Founder. AI Founder is great for quick validations, but user feedback highlighted opportunities to make it more valuable. With ai-svc, I'm enhancing AI Founder by:

• Dramatically improving reliability with 'fire-and-forget' semantics for LLM requests, guaranteeing that every request will be processed regardless of temporary failures.

• Reducing inference costs, allowing deeper analysis at scale.

• Adding new features like pivot validation, detailed audits, and simulated user interviews.

• Expanding its scope beyond initial idea validation into broader business development areas.

This shift addresses user feedback directly, aiming to create features that entrepreneurs will revisit regularly. The reliability improvements are particularly important, as AI Founder can now handle complex workflows with confidence that all LLM tasks will complete successfully, even during API outages or rate limiting issues.

Another key takeaway from early users: even validated ideas often struggle due to ineffective marketing. To solve this, I will develop:

• Marketing Strategy Generator: AI-driven strategies tailored specifically for your startup.

• Marketing Content Generator: Tools to quickly create essential content such as landing pages, emails, and social media posts.

Both of these solve regular, ongoing problems for entrepreneurs, positioning AI Founder as a central hub for startup growth rather than just initial validation.

To boost visibility, I started blogging directly on AI Founder's website. The first post, "How to Validate Your Startup Idea in Under an Hour", was shared on Reddit a few days after publication.

Interestingly, after sharing this post on Reddit, Google quickly indexed the AI Founder site. Previously, the domain wasn't appearing in search results at all—even for direct searches. My personal website was the only way Google recognized AI Founder.

This suggests that Reddit backlinks significantly speed up Google's discovery process. While I'm still new to SEO, it's exciting to see tangible results so early.

Most of the development for ai-svc is done in Go using Cursor. Cursor's Rules engine has notably sped up repetitive coding tasks, allowing me to:

• Quickly implement reliable and well-structured backend logic.

• Spend more time on critical and complex logic, improving overall quality.

• Implement comprehensive end-to-end tests across the service.

Without Cursor, maintaining such high testing standards would have been challenging, given limited personal development hours.

Here's a quick recap:

• ai-svc is my new, reliable backend infrastructure for LLM orchestration, built specifically to solve the frustrating reliability issues I encountered with AI integrations.

• The 'fire-and-forget' semantics guarantee that every LLM request will be processed, even during service disruptions — a critical improvement for AI Founder.

• It significantly enhances AI Founder's capabilities, addressing key user requests.

• Upcoming features include robust marketing tools, making AI Founder indispensable for ongoing startup growth.

• Early SEO efforts have provided valuable insights into content indexing and backlinks.

• Cursor has been instrumental in rapid, high-quality development.

More updates coming soon! Check out AI Founder and feel free to reach out with feedback or questions.