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Johnstone Gikenye

@mzee

I am a Computer Science Student at MUltimedia University Of Kenya. An aspiring Enterprenuer and a developer.

https://mnada.vercel.app
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About Me

I'm Johnstone Gikenye, 21 years old. I'm currently working on several projects, including LindaFarmer, an Agritech Fintech MVP that provides financial, educational, and marketplace solutions to smallholder farmers. I'm using Go (Golang) for the backend, and the frontend involves Expo, TypeScript, and Tailwind. The project is still in development, and I plan to integrate AI for plant disease diagnostics.

I'm also developing CryptoBond, a crypto gambling platform using Tron smart contracts. The platform doesn't collect KYC information and focuses on ensuring privacy and security.My GitHub profile is https://github.com/gikenye/, and you can reach me at joegikenye@gmail.com or 254758515833.

I'm currently seeking funding for LindaFarmer, with plans to request $525,000 out of a $750,000 total project cost.

Projects

Comments

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Johnstone Gikenye

3 months ago

@Tomohaire Thanks for the overview. It seems like there was a typo, but It's fixed now.

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Johnstone Gikenye

3 months ago

Hello @TonyGao, Iā€™m really grateful for your detailed critique.Here is how we plan on addressing the issues you raised. Please let me know if there is anything else you would like to be clarified.

  • Yes, LindaFarmer is intended to be profitable. Our revenue will come from two main sources: a small percentage taken from each transaction on our marketplace and service fees from facilitating loans. The marketplace connects farmers with buyers, while the loan facilitation involves partnerships with financial institutions and peer-to-peer lending networks. These revenue streams allow us to cover operational costs and continue scaling the platform. Our goal is to balance profitability with impact, ensuring that our services remain affordable and accessible to smallholder farmers while maintaining a sustainable business model for long-term growth.

  • The focus on AI in LindaFarmer is driven by the need to provide real-time, scalable support to smallholder farmers. AI helps diagnose crop diseases, offering instant feedback, especially in regions with limited access to agricultural experts. While AI infrastructure is costly, it reduces long-term operational expenses by minimizing the need for human intervention. We address accuracy concerns through partnerships for quality training data, continuous learning, and a human-in-the-loop approach. Although AI's use can attract VC funding due to its scalability and innovation, our primary goal is to enhance farmer productivity and access to crucial resources.

  • LindaFarmer will partner with a variety of financial institutions and microfinance organizations to provide loans to smallholder farmers. Additionally, we are exploring the integration of peer-to-peer (P2P) lending networks as a way to diversify funding sources and offer more flexible loan options. These partnerships enable us to connect farmers with lenders who understand their unique needs and challenges. While LindaFarmer facilitates the loan process through our platform, we do not act as the direct lender. Instead, we charge a service fee for enabling access to these financial resources, ensuring sustainability while empowering farmers financially.

  •  At LindaFarmer, weā€™re focusing on a marketplace where individual farmers list their products, allowing buyers to search and connect directly. This approach emphasizes flexibility, enabling farmers to showcase their produce independently while buyers can filter by quality, location, and more. Our goal is to empower farmers with control over pricing and negotiations, maximizing their profits.

    Your suggestion of combining products into futures contracts for stability is insightful. While we're not implementing that now, itā€™s a valuable idea for future iterations. For now, weā€™re prioritizing a user-friendly platform that connects farmers directly with buyers, while remaining open to evolving the model as we scale. Balancing flexibility and stability will be a key focus as we continue to refine the platform.

  • Combining educational and financial components into a single platform provides several key benefits, while we acknowledge and address the associated risks:

    Integrated Support: A unified platform offers comprehensive support by merging educational resources, AI diagnostics, marketplace features, and financial services. This integration ensures farmers receive holistic assistance tailored to their needs.

    Enhanced User Experience: Consolidating services simplifies navigation and reduces the need for multiple apps, leading to a more seamless and engaging user experience.

    Synergistic Benefits: Tying these services together creates synergies, such as using AI insights to inform financial decisions and educational content to enhance financial tools, maximizing the platformā€™s impact.

    Efficiency and Cost-Effectiveness: A single platform reduces development and maintenance costs and streamlines data management.

    Addressing Risks: We recognize potential reputational risks from component failures. To mitigate these, we will implement robust quality assurance processes and provide comprehensive support. Updates and improvements will be rolled out gradually, based on user feedback, ensuring that we address issues promptly and maintain platform reliability and integrity.

  • Scaling the platform indeed presents challenges, especially in navigating local regulations and adapting to different market conditions. Here's our approach for the initial launch:

    Targeted Pilot Launch: We'll start with a pilot program in a specific region where we have a strong understanding of the legal and market environment. This will allow us to test and refine the platform in a controlled setting before expanding.

    Local Partnerships: We plan to collaborate with local financial institutions, agricultural cooperatives, and legal advisors in each region. These partnerships will help us navigate regulatory requirements, understand market dynamics, and adapt our services accordingly.

    Modular Platform Design: Our platform is designed to be modular, allowing us to customize features based on local needs. For example, we can adjust financial services to comply with local regulations or tailor marketplace features to suit the regionā€™s agricultural practices.

    Gradual Rollout: Weā€™ll expand the platform incrementally, using the insights gained from the pilot phase to address challenges in new regions. This phased approach allows us to scale sustainably while minimizing risks associated with legal and market variations.

    By focusing on a localized strategy, leveraging partnerships, and maintaining flexibility, we aim to successfully navigate the complexities of scaling across different regions.