A new search engine called Lore, built by ex-investor and longtime superfan Zehra Naqvi, has secured $1.1 million in pre-seed funding to launch a platform aimed at helping people deeply explore their favorite fandoms. Unlike typical search tools, Lore promises to surface fan theories, easter eggs, interpretations, and cultural context in a personalized “obsession graph,” enabling users to zoom into specific threads or zoom out to see how fandoms connect. The product is described as “lurk-first” — meaning it tracks what users read and builds tailored pathways rather than demanding constant posting or social interaction. In early tests, Lore saw over 1,000 user logins and about 24,000 searches, with “spiraling” engagement of ~200 collective hours. While comparisons to Reddit, Wikipedia, or AI search platforms have been made, its founder argues none are purpose-built for fandom. The funding round was led by venture firms such as Village Global and Initialized Capital, with participation from Precursor Ventures and angel backers like Elad Gil. Lore remains in stealth mode, declining to reveal full product details until a later launch, though Naqvi says the capital will go toward user growth and deeper development.
Sources: WebPro News, TechBuzz
Key Takeaways
– Lore is positioning itself as a specialized search engine for fandoms, aiming to surface niche, fan-driven content that mainstream search tools often bury.
– Its “obsession graph” and lurk-first approach suggest a new model combining passive consumption tracking with curated discovery, rather than relying purely on social posting or generic AI ranking.
– Strong early engagement metrics (thousands of searches, hundreds of hours of exploration) and backing from well-known VCs hint that there may be real demand for this kind of deep, interest-centric search tool.
In-Depth
In a digital landscape dominated by general search engines and social media algorithms, Lore is staking a claim in the niche of fan discovery and deep exploration. The idea is simple but intriguing: for people who spend hours chasing obscure references, untangling fan theories, or linking characters across multiverses, a tool designed just for them could fill a real gap.
Zehra Naqvi’s own backstory lends credibility. She describes growing up in the Tumblr/Twitter era dissecting Marvel release dates or decoding the dynamics in One Direction, and sharing that content with others — she even collected a following of 250,000. That kind of obsessive interest is the exact behavior Lore is trying to productize: people want to wander, to discover, to see how disparate threads connect.
Lore’s core feature is what Naqvi calls an “obsession graph” — a network that maps out what you care about, how one thread relates to another, and which theories or interpretations lie in the shadows. Instead of typing a query and getting 10 mainstream hits, users might click through fan theories, cultural context, Easter eggs, interviews, unfamiliar fan essays, and connections across fandoms. That shift—from search as a tool to search as journey—is the bet.
Another distinctive angle is its lurk-first philosophy. Users don’t have to engage publicly or create content; the system learns from what they read, how they explore, and builds recommendations. It’s a contrast to social media’s momentum toward posting, likes, and scoreboard metrics. Lore aspires to a quieter, more playful place where obsession isn’t embarrassing — it’s the point.
The early metrics are encouraging. Lore has already seen over 1,000 logins and 24,000 searches during experiments. Those interactions yielded roughly 200 cumulative hours of “spiraling” — a term Naqvi uses to describe that immersive, time-disappearing behavior fans know well. In other words, people stayed in the app, exploring deeply. Those metrics suggest not just curiosity but real stickiness.
From a funding perspective, Lore raised $1.1 million in its pre-seed round. The backers include Village Global, Initialized Capital, Precursor Ventures, and angel investors such as Elad Gil. That mix signals both confidence and belief in the vision of “fan search.” The funding will be used to scale users, sharpen product features, and test more deeply with communities before a full launch.
—but it won’t be without challenges. Lore must solve issues of data fragmentation (fan content is scattered across forums, wikis, threads, social platforms), relevance ranking (how to surface what’s meaningful to each user), and signal vs. noise (how to filter speculative content). Additionally, comparisons to AI search engines, Reddit threads, or Wikipedia are unavoidable, and Lore will need to show clear differentiation.
Still, the premise taps into something real. Fandoms are not just audiences — they are ecosystems of meaning, speculation, and connection. If Lore can become the platform where fans map, explore, and replay their obsessions, it may carve out a new corner of the search landscape — one where curiosity, not just efficiency, rules.