PH Deck

The current situation for developers using open-source AI models is that they often face significant barriers when trying to monetize these models. Existing methods to transform AI models into monetizable APIs are often complex and time-consuming.

Developers encounter complex and time-consuming processes as a major drawback with the old situation.

Users require advanced large language models (LLMs) for commercial applications but face limitations with proprietary models such as high costs, restrictive licenses, and limited customization.

Users rely on traditional AI note-taking tools like Fireflies AI and OtterAI, which are proprietary systems leading to limited customization, potential data privacy concerns, and dependency on closed-source platforms

Users previously relied on paid services or manual methods for video transcription, facing vendor lock-in, high costs, and privacy risks when handling sensitive content.

Users currently manually transcribe podcasts or use tools requiring sign-ups, leading to time-consuming processes, inaccuracies, lack of summaries, privacy concerns, and formatting issues.

Users often struggle with managing notes and tasks during conversations, leading to issues with organization and memory retention. Struggle with managing notes and tasks during conversations.

The open source community faces challenges in connecting developers, maintainers, and groups with potential sponsors, which inhibits the growth and sustainability of projects due to limited visibility and access to sponsorship opportunities.

Users struggle to generate captivating content efficiently, leading to increased time and financial investments without guaranteeing quality results. The difficulties in creating engaging content quickly and affordably are significant drawbacks.

Users struggle to identify whether they have been naughty or nice in the open-source community based on their GitHub activity alone.