Towards the Future of Web Search & Content Discovery: Why We Are Rebuilding the Internet's Front Door

December 18, 2025

For three decades, we've relied on a search architecture designed in the 1990s, one built to match keywords and count links. While this legacy infrastructure works well for simple queries like "pizza near me", it is crumbling under the weight of modern complexity. Today's information landscape is drowning in SEO-optimized fluff, overwhelming volume, and tools that prioritize engagement over value.

We believe the world deserves better. We believe the future of search isn't just about finding links; it's about reasoning, discovery, and a fair ecosystem for creators.

The "Spoiled Ingredients" Problem

In the rush to modernize, many companies including Google, Microsoft, and Perplexity, are simply layering LLMs on top of traditional search. They promise a revolution, but the result is often a hallucination or a shallow summary.

This approach has a fundamental flaw: it's like asking a Michelin-star chef to cook with spoiled ingredients. If the underlying search engine retrieves SEO spam, generic listicles, and irrelevant ads, even the smartest AI reasoning layer can only summarize that noise. It cannot conjure facts that weren't retrieved.

Google was built for yesterday's web. Its business model depends on ads, not accuracy. Every extra click is revenue, even if you never find what you need. It is economically disincentivized to give you the answer instantly if it can show you five ads first.

Naget's Solution: Reasoning-Native Search

Naget is not just another "chatty search bar." Our mission is to rebuild search from the ground up for the AI era—replacing keyword matching with deep reasoning to deliver precise, context-aware answers for the world's most complex information needs. Our system doesn't just match terms at the end of the process—it reasons about your intent throughout the entire search pipeline.

The Technical Breakthrough

We have achieved a significant milestone that challenges the industry status quo: delivering billion-scale, reasoning-intensive search for millions of users on an hardware budget under $10,000.

You read that correctly. We are proving that superior web search doesn't require Google's multi-billion dollar infrastructure.

There is a trade-off: our search is currently slower than the sub-second results you are used to. But for complex, high-stakes queries, speed is secondary to precision. We are trading milliseconds for understanding.

Understanding Complexity

Consider a query like this:

"Angel investors in Northern Europe focused on climate tech who've previously exited at least two startups valued over $50M."

A traditional search engine sees a bag of keywords: "investor," "Europe," "climate." It gives you generic lists or news articles about clean energy. It fails to understand the logic binding these criteria together.

Naget understands the query as a structured request. It identifies the entities, the geographical constraints, the financial history, and the domain expertise required. It retrieves "Nuggets"—precise information units—rather than just blue links.

Instead of a static list, Naget presents these answers in dynamic, structured tables. The system automatically identifies relevant columns—like "Previous Exits," "Investment Focus," and "Location"—and fills them with verified data.

Need more detail? You can expand these tables on demand. Simply ask for more columns, and our custom web-scale search models, combined with efficient Small Language Models (SLMs) optimized for information extraction, will scour the web to populate the new fields instantly.

The Roadmap: From Niche to Universal

We are rolling out our vision in distinct phases:

1. The Expert Layer (Next 3 Years):
Our initial focus is on high-stakes knowledge work: academia, scientific research, law, and finance. These are fields where precision is paramount and a single missed insight can be costly. By serving these demanding users first with a subscription-based model, we refine our reasoning engine on the hardest queries before scaling to the broader web.

2. The Edge Revolution (Next 5 Years):
To democratize access, we must decouple intelligence from centralized data centers. Naget is designed to run partially on-device by offloading computation-heavy reasoning steps to your local hardware (like consumer GPUs and mobile neural chips), while maintaining the high-memory, high-storage index in the cloud. This hybrid approach drastically reduces inference costs while preserving web-scale recall.

3. The Multi-Modal Ecosystem (Next 10 Years):
True understanding goes beyond text. Over the next decade, we will expand our neural index to encompass the full spectrum of human expression—images, video, and audio. This evolution will transform Naget from a search engine into a comprehensive multi-modal reasoning engine, capable of connecting concepts across every medium.

The Ultimate Vision: Your Personal Discovery Agent

Our ultimate goal is ambitious yet essential: everyone in the world should have access to an always-on discovery agent that monitors the web every minute and delivers highly personalized content for any intent. Imagine an agent that knows you're looking for your next career opportunity, constantly scanning the job market for roles that match not just your skills, but your values and aspirations. Or one that identifies emerging companies to invest in before they hit mainstream radar. An agent that discovers the perfect restaurant for tonight's dinner based on your evolving tastes, or alerts you to music events that align with your preferences before tickets sell out.

This isn't science fiction—it's the natural evolution of search. Rather than you coming to a search bar with a query, intelligent agents will proactively surface what matters to you, when it matters. The key difference from today's recommendation engines? These agents will be powered by local hardware—your own devices—ensuring privacy, personalization, and freedom from centralized control.

By running on consumer hardware—from laptops to mobile devices—these discovery agents will operate without sending your personal preferences and behavioral data to corporate servers. You maintain sovereignty over your information diet while benefiting from AI that truly understands your needs.

The "Linux of Search"

The current wave of AI search competitors, like Exa or Parallel, are building high-cost, high-margin SaaS walled gardens. They are following the old playbook.

We aim to be the Linux of search.

We believe in open standards, open source, and transparency. The future of information access shouldn't be a black box controlled by a single corporation. We need high recall—orders of magnitude larger than what current AI search offers—and cost-per-query that drops just as dramatically. This is only possible through a decentralized approach.

By distributing inference and crawling, we can build a peer-to-peer (P2P) search network. This isn't just about cutting costs; it's about resilience and censorship resistance.

A New Deal for the Creator Economy

The post-AI era presents an existential crisis for content creators. As AI generates infinite low-effort content, human insight becomes rarer and more valuable. Yet, current platforms tax creators heavily (taking 30% or more) and bury them under algorithms optimized for virality rather than quality.

Naget's long-term vision (10+ years) is to evolve from a search engine into an open-source content discovery & sharing ecosystem.

We envision the "everything platform" that the West never had—a transparent, fair, and deeply personalized network. In our P2P model, revenue from hyper-targeted ads doesn't just go to the platform; it is shared with the creators who make the content and the "miners" who provide the compute to power the network.

We are building a community-curated defense against AI sludge. By combining machine learning with human curation, we can elevate high-quality content and bury low-effort generation, establishing a new standard for discovery that prioritizes value over clicks.

Join the Revolution

We are at the beginning of a journey to redefine how humanity interacts with information. We are moving from simple retrieval to deep understanding, from centralized control to community ownership. Our early strategy may change, but our vision remains fixed: a world where information access is open, intelligent, and fair—where search understands like a human, runs everywhere like Linux, and rewards creators for quality over virality.

If you are an engineer ready to solve the hardest problems in distributed retrieval and reasoning, or an investor who sees the inevitable shift away from the keyword era, we want to hear from you.

The future of search is reasoning. The future of discovery is personal. Let's build the platform the world deserves.

— Chris Samarinas, Founder

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