WildTrack AI

How Mahdi Negahban Built AI Powered Wildlife Tracker

January 11th, 2025

Founded By

Mohammad Mahdi Negahban

Founders

Profitable

Yes

Customer

B2C

Founded By
Mohammad Mahdi Negahban: Founders
2

Profitable
Yes: Customer
B2C

Who is Mohammad Mahdi Negahban?

Mohammad Mahdi Negahban, the founder of WildTrack AI, is a passionate wildlife enthusiast and a senior iOS developer with a background in innovative app development, hailing from a technological and nature-focused perspective.

What problem does WildTrack AI solve?

WildTrack AI helps nature enthusiasts and conservationists easily identify wildlife, making exploration and species tracking insightful and engaging through AI-powered features.

Wildlife tracking app

How did Mohammad come up with the idea for WildTrack AI?

Observing how technology could enhance our understanding of wildlife, the founders were inspired by their passions for both nature and advanced tech like AI and AR. They noticed that while many people loved exploring nature, there was a lack of tools that could accurately identify animals and tracks through a simple app. This observation drove them to consider how technology could bridge this gap, making wildlife exploration both informative and engaging.

Before diving into development, they conducted thorough research to better understand the needs of wildlife enthusiasts and conservationists. By gathering feedback from potential users, they validated the concept's value and refined their ideas, ensuring practicality and ease of use in real-world conditions. They faced challenges in integrating diverse technologies like Objective-C and Swift but overcame them with careful planning and technical innovation.

Key lessons included the importance of merging modern design with technology to create a seamless user experience. Emphasizing user privacy as part of their feature development helped them build trust. The founders learned that leveraging a multi-tech approach could not only enhance user engagement but also contribute positively to wildlife conservation efforts.

How did Mohammad Mahdi Negahban build the initial version of WildTrack AI?

WildTrack AI was developed using a sophisticated tech stack combining Objective-C for core functionalities, and Swift and SwiftUI for creating a modern, dynamic user interface. Building the first version of the app involved meticulous integration of AI-powered image recognition models to facilitate accurate animal identification through photo uploads and paw print analysis. The development process, which utilized advanced tools like Apple's ARKit for implementing an AR Ruler to measure prints, was particularly challenging due to the need to optimize AI model performance for iOS devices, necessitating balancing speed and accuracy. This initial build phase took considerably longer than anticipated because it required seamless multi-tech integration and stringent privacy compliance, which were addressed by using bridging headers and modular design approaches.

What was the growth strategy for WildTrack AI and how did they scale?

SEO

WildTrack AI focused on leveraging search engine optimization (SEO) to grow its online presence. They optimized their website content, including detailed descriptions of animal species and comprehensive wildlife guides, to rank well in search engine results. By targeting keywords related to wildlife exploration, animal identification, and conservation, they attracted organic traffic from individuals searching for these topics.

Why it worked: With a significant portion of their audience interested in wildlife exploration and education, SEO helped them tap into a global audience actively looking for information on these subjects. The detailed and high-quality content on their platform engaged visitors and encouraged them to explore more of what WildTrack AI had to offer, leading to increased user engagement and retention.

Product Hunt Launch

WildTrack AI utilized Product Hunt as a platform to launch and gain initial traction for their app. This allowed them to reach a community of tech enthusiasts and early adopters who are always on the lookout for innovative products. The launch on Product Hunt helped WildTrack AI gain visibility and gather valuable feedback from users.

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Why it worked: Product Hunt is known for its community of tech-savvy users who are keen to discover and try out new technologies. By launching on this platform, WildTrack AI was able to quickly tap into a concentrated audience of potential users and supporters who could help spread the word about the app, providing a boost in initial downloads and user engagement.

Community Engagement

WildTrack AI emphasized community features within their app to foster a sense of belonging among wildlife enthusiasts. They enabled users to log sightings, create personalized nature journals, and connect with fellow nature lovers. This not only encouraged user interaction within the app but also helped to build a loyal user base that felt invested in the product.

Why it worked: By prioritizing community engagement, WildTrack AI created a platform where users could share their experiences and learn from one another. This approach helped to strengthen brand loyalty and encourage word-of-mouth promotion as users invited friends and family to join the community, resulting in organic growth.

Email Marketing

WildTrack AI employed email marketing to maintain communication with its user base. Through personalized and educational email content, they kept users informed about app updates, new features, and tips for exploring wildlife using their platform. This continued engagement with users through email helped to build a lasting relationship with them.

Why it worked: Email marketing allowed WildTrack AI to stay top-of-mind for users by consistently providing valuable content and updates. By keeping users informed and engaged, they increased the likelihood of repeat app usage and retained customer interest, which in turn contributed to steady growth in user numbers.

What's the pricing strategy for WildTrack AI?

WildTrack AI offers a subscription model priced at $9.99/month, with an optional free trial to access AI-powered wildlife identification and exploration features.

App Pricing

What were the biggest lessons learned from building WildTrack AI?

Hybrid Development Works: Successfully blending old and new tech requires careful planning. WildTrack AI integrated legacy and modern technologies by using bridging headers and modular design to ensure everything worked smoothly.
Privacy Builds Trust: By removing unnecessary permissions and clarifying data use, WildTrack AI ensured compliance with privacy guidelines, which is crucial for gaining user trust.
Optimize for Performance: Initial AI models were too resource-intensive, impacting app speed. By optimizing these models, WildTrack AI improved performance without sacrificing accuracy.
Adapt Quickly to Challenges: Combining multiple technologies posed challenges. WildTrack AI overcame these through strategic integration and adaptability, ensuring a seamless user experience.
AI Enhances User Experience: By leveraging AI for niche applications, WildTrack AI created an impactful wildlife exploration tool, showing how technology can enrich user interaction and engagement.

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