Key Takeaways
• Lore, founded by Zehra Naqvi, raised 1.1 million to build an AI fan search tool
• The AI fan search offers personalized deep dives into niche fandom content
• Initialized Capital led the pre-seed round, joined by Elad Gil and others
• Lore plans a beta launch soon while managing privacy and data concerns
AI Fan Search Startup Raises 1.1 Million for Fandoms
Lore is on a mission to change how fans explore their favorite stories. Its AI fan search engine digs into the hidden corners of fandom culture. Instead of generic results, it offers curated “rabbit holes” where fans can discover art, discussions, and theories. Moreover, each user gets a personalized journey based on their interests. Founder Zehra Naqvi believes traditional search leaves fans frustrated. Therefore, she built Lore to solve this gap and to make every fan feel at home.
Why Traditional Search Fails Fans
Most search tools follow the same pattern for all users. They rank pages by popularity or basic keywords. Consequently, they miss niche threads or deep fan theories. For example, a fan searching for alternate story endings sees mainstream summaries first. They might never stumble on a passionate fan’s hidden blog or forum. In fact, forums that host the best theories often rank low on general search engines. As a result, fans spend hours clicking through pages. They still feel like they have not found what they want.
In contrast, Lore’s AI fan search team digs beyond the first few dozen results. It sorts content by relevance to each unique interest. It also filters out low-quality or outdated material. Thus, fans save time and reach the most engaging content faster.
How Lore’s AI Fan Search Works
Lore combines machine learning with expert curation. First, it analyzes large sets of fan posts, images, and videos. Next, it identifies common themes, trending topics, and hidden gems. Then, it groups these items into themed collections. Finally, it serves them as tailored “rabbit holes” for each user.
The system uses natural language understanding to read fan discussions. It spots slang, memes, and in-jokes that only true fans share. Moreover, it can follow a fan’s journey in real time. Suppose a user starts with a comic book theory. The AI fan search can then suggest fan art, deep-dive essays, and video reactions. All results match the fan’s original curiosity.
Additionally, Lore’s design team built an easy interface. Fans simply type a keyword or select from popular fandoms. The engine then lists related rabbit-hole paths. Users can bookmark, share, or rate each path. Over time, Lore learns which sources fans trust most. It then refines future recommendations.
Funding Boost and Plans for Beta
In this pre-seed round, Lore raised 1.1 million to refine its technology. Initialized Capital led the deal, with help from Elad Gil and other angel investors. They believe in Lore’s vision to revolutionize fan content discovery. Zehra Naqvi plans to use the funds to scale the engineering team. She also wants to expand the content library across more fandoms.
Lore’s team will start a closed beta in the coming months. Early testers will include superfans from comic books, TV shows, and video games. They will help spot bugs and improve recommendation accuracy. Moreover, Lore wants feedback on the user interface. Beta users can suggest new features like social sharing and community chat.
Meanwhile, Lore will build partnerships with fan creators and moderators. These partnerships aim to ensure quality control and fair revenue sharing. In the future, Lore could offer premium features for paid users. However, the core AI fan search will remain free. Naqvi believes in keeping access open for all fans.
Addressing Privacy and Data Concerns
As Lore collects user preferences and behavior, privacy comes first. The team will store minimal personal data. Instead, it relies on anonymized usage patterns to refine its AI. The startup will also let users control their data. Fans can delete or export their interaction history at any time.
Moreover, Lore’s privacy policy will explain how data fuels recommendations. Transparency, Naqvi says, builds trust. She adds that the company will never sell user data to advertisers. Instead, it will explore ethical revenue streams like premium subscriptions or branded collaborations.
Nonetheless, privacy laws are evolving. Lore’s legal team must navigate global rules on personal data. This task is complex, but it is vital for long-term growth. Hence, Lore has already hired experts in data protection. They will ensure the AI fan search stays both smart and safe.
What’s Next for Lore
With funding in hand and a team ready to scale, Lore’s future looks bright. The company plans to add more fandoms, from niche anime series to classic book clubs. It will also improve its AI to recognize new fan trends. For example, if a viral meme takes off, Lore’s AI fan search will spot it fast.
Over time, Lore hopes to build a global fan community. This space would let superfans connect, share discoveries, and co-create new content. By doing so, Lore aims to become the go-to hub for every fandom.
FAQs
How does the AI fan search personalize results?
The system tracks user choices and feedback. It then uses that data—without personal details—to suggest content that matches each fan’s interests.
Who can join the beta program?
Early testers include superfans from various groups. To apply, fans can sign up when Lore opens its waitlist.
Will Lore be free to use?
Yes, the basic AI fan search will remain free. Future premium features might require a subscription.
How does Lore protect my privacy?
Lore stores only anonymous usage data. Users can control their data, delete it, or export it anytime.