What if your search engine knew almost nothing about you — not your search history, not your interests, and not enough information to build a profile that follows you around the internet?

In Episode 28 of the Efani Features Podcast, host Mark Kreitzman sits down with Tim Enneking, CEO of Presearch, to explore how decentralized search can offer an alternative to the surveillance-driven model that dominates much of the modern internet.

Tim brings an unusual background to the conversation. He entered digital assets in 2013, managed an early crypto investment fund, later launched a crypto trading fund, and spent years operating across both traditional finance and digital assets. He first became involved with Presearch as an investor and advisor before eventually taking over the project and rebuilding much of its technology, team, and strategy.

Today, Presearch is developing a privacy-focused search experience designed around a deceptively simple idea:

If you don't collect people's data in the first place, you can't sell it, leak it, profile it, or hand it over later.

🔍 In This Episode:

Mark and Tim discuss:

• What Presearch is and how it differs from Google and other search engines
• Why Presearch says it does not collect users' search data
• How its decentralized network helps prevent individual search histories from being assembled into behavioral profiles
• Why Presearch moved beyond being purely a metasearch engine and developed its own proprietary search technology
• How users can search without creating an account
• Why an email address is only needed for users who voluntarily register for additional functionality
• How the Presearch browser extension makes private search easier to use every day
• Presearch's mobile options for Android and iOS
• Why privacy technology needs to be simple enough that users don't have to fundamentally change their behavior

🕵️ Search Engines Know More Than You Think

Every search can reveal something about you.

One query may expose a medical concern. Another could reveal an investment interest, travel plan, political question, relationship issue, purchasing decision, or professional project.

Over time, those individual searches can become a remarkably detailed behavioral profile.

Tim explains why Presearch approaches this differently. Instead of creating a centralized record of searches associated with individual users, search requests can be routed through a decentralized network of nodes distributed around the world.

One search might pass through one country, while the next can pass through another.

That decentralized architecture is designed to make it extremely difficult to connect a series of searches into a persistent profile of the person behind them.

💰 Surveillance Pricing & Behavioral Profiling

The conversation also explores a growing concern around surveillance pricing.

When companies can build detailed profiles around what you search for, purchase, and interact with online, that information can potentially influence the prices, advertising, and offers presented to you.

Tim argues that removing the underlying behavioral profile changes that equation.

Without a persistent record connecting searches back to the same person, there is far less information available for building the type of consumer profile that powers personalized advertising and other forms of behavioral targeting.

Mark and Tim also discuss one of the broader consequences of personalized search: two people can search for the same subject and receive different information based on what an algorithm already believes about them.

That can reinforce existing beliefs rather than expose users to a broader range of information.

🍪 No Trackers, Pixels or Traditional Search Profiling

Presearch's privacy model goes beyond simply promising not to sell user information.

According to Tim, the platform was deliberately designed without the traditional tracking infrastructure commonly associated with online advertising, including tracking pixels and cookies used to build behavioral profiles.

That presented a business challenge: how do you monetize a search engine without compromising the privacy principles behind it?

Tim explains how Presearch developed its own advertising formats that allow ads to appear without requiring the same type of individual-level tracking used across much of the advertising ecosystem.

🌐 How Presearch's Decentralized Network Works

Presearch is supported by thousands of independently operated nodes around the world.

Users can even participate in the network themselves.

Tim explains how someone with an unused computer can operate a Presearch node in the background. Search traffic can be routed through those nodes, helping support the decentralized infrastructure while node operators can earn PRE tokens for participating.

Different node types can support different parts of the ecosystem, including traditional search infrastructure and AI-related workloads.

For privacy-conscious users who have no interest in crypto or operating infrastructure, however, none of this is required.

You can simply visit Presearch and search.

🤖 Presearch + AI

The episode also explores how Presearch is incorporating generative AI into search through PreGPT.

Rather than treating AI and traditional search as completely separate experiences, Presearch is experimenting with ways users can continue a search conversationally and build upon previous queries.

Tim discusses how the platform is trying to bring AI functionality into search without abandoning the privacy principles at the center of Presearch.

📺 An Unexpected Bonus: A Cleaner YouTube Experience

Mark and Tim also discuss another interesting consequence of how Presearch routes traffic: users accessing YouTube through the Presearch experience may encounter a different advertising experience than they would when browsing normally.

It becomes another example of how changing the infrastructure behind browsing can affect the amount of tracking and targeting users experience across the web.

🛡️ Privacy Shouldn't Require Becoming a Cybersecurity Expert

One of the most important themes throughout the episode is simplicity.

Privacy products often fail because they require users to constantly think about security.

Complex configurations, unfamiliar interfaces, and dramatic changes in behavior may work for enthusiasts, but they rarely achieve mass adoption.

Presearch takes the opposite approach.

Go to the website. Search normally. Install the browser extension if you want Presearch as your default.

The underlying privacy architecture handles the complexity.

As Tim puts it, users shouldn't have to fundamentally change what they already do just to stop being profiled.

🔌 Presearch for Developers & Businesses

Presearch isn't limited to individual users.

Tim also discusses the Presearch Search API, which enables companies and developers to integrate private search capabilities into their own products and applications.

Businesses can use an ad-supported implementation or pay for an ad-free search experience, opening the possibility of embedding privacy-focused search directly into other services.

🎯 Who Should Listen?

This episode is particularly relevant for:

• Privacy-conscious internet users
• Executives and high-risk individuals
• Cybersecurity professionals
• People concerned about Google tracking and profiling
• Users looking for alternatives to mainstream search engines
• Crypto and decentralization enthusiasts
• Developers building privacy-first applications
• Anyone uncomfortable with personalized advertising and surveillance pricing

You don't have to be technical.

You don't have to understand crypto.

And you don't have to operate a node.

If you can use a search engine, you can try Presearch.

🔍 Try Presearch:https://presearch.com/
📱 Protect your mobile identity with Efani:https://efani.com
🎙 Hosted by Mark Kreitzman, General Manager at Efani