HUSH:// is a browser-level protocol engineered for zero ads, zero AI interference, and zero distractions. Not filtered. Not hidden. Architecturally impossible. Pure signal. Maximum speed.
0 SPAM · 0 SELLING YOUR DATA · EVER
Not filtered. Not hidden. Not loaded. Ad payloads are nullified at the DNS layer — the network request is architecturally impossible. 847,000+ ad infrastructure domains blocked. Zero bandwidth consumed on extraction infrastructure. The server never knows you existed.
No recommendation loops. No personalization tokens. No inference calls. 140+ AI endpoint signatures dropped at L2 before resolution. HUSH:// is entirely deterministic, model-free, and inference-free. The protocol doesn't think for you. It just delivers what you asked for.
Sub-8ms DNS resolution. Critical-path pre-rendering. 82% payload reduction. Zero render-blocking third-party scripts. HUSH:// is the fastest web you've navigated — because 98% of modern latency is extraction overhead, not content delivery.
HUSH:// operates as a four-layer protocol stack between your browser kernel and the network. Every request passes through the full pipeline in under 2 microseconds — deterministic, stateless, fully auditable.
All HTTP/3 and QUIC streams are intercepted at the system level before any browser engine processes them. Operating at 10Gbps throughput with sub-microsecond classification latency. OS-level protocol registration — no browser extension required.
847,000+ ad infrastructure domain signatures maintained via distributed consensus nodes, updated every 4 hours. DNS resolution for flagged domains returns null — not NXDOMAIN, not a redirect. Null. The request never reaches the wire.
140+ AI inference endpoint signatures dropped on detection. Behavioral telemetry beacons, engagement optimization hooks, recommendation API calls, and personalization tokens are identified and discarded before resolution. Fully deterministic — zero models run in-process.
After extraction infrastructure is eliminated, remaining payload is optimized: aggressive critical-path pre-rendering, cache-first resolution (median TTFB: 8ms on warm paths), lazy-load elimination above the fold, render-blocking script quarantine. Average load time: 0.7s.
The average web page in 2024 carries 2.3MB of JavaScript — 78% of which serves extraction, not content. These are the numbers HUSH:// eliminates.
The modern web is broken. What began as an open protocol for human communication has been captured by an advertising-industrial complex that strips attention, harvests behavior, and weaponizes artificial intelligence against the very users it ostensibly serves. The average web page in 2024 contains 38 third-party scripts, 12 tracking pixels, and 4 AI inference calls — none of which the user requested, and all of which consume bandwidth, attention, and privacy.
HUSH:// is a browser-level protocol specification designed to restore the original contract of the web: the user requests information, the server delivers it. Nothing more. No intermediaries. No inference. No interruption. Pure signal.
Modern browsers have become delivery vehicles for the attention economy. The browser itself — once a neutral conduit — now participates in behavioral profiling through built-in telemetry, integrated AI assistants, and ad-network hooks at the engine level.
The average JavaScript payload for a standard news article is 2.3MB. Of this, 78% serves no editorial function — it exists solely for tracking, targeting, and engagement optimization. A user reading a 1,000-word article waits for over 12 megabytes of infrastructure they never requested, never consented to, and never benefit from.
| Threat Vector | Standard Browser | HUSH:// Response | Status |
|---|---|---|---|
| Display Advertising | Ad network integration | Protocol-level null | Eliminated |
| Behavioral Tracking | Cookie + fingerprinting | Identity-free sessions | Eliminated |
| AI Personalization | Recommendation engines | L2 Firewall + static serve | Eliminated |
| Social Graph Harvesting | Like/share/embed widgets | Widget nullification | Eliminated |
| Browser Telemetry | Opt-out (rarely used) | Architecturally impossible | Eliminated |
HUSH:// operates as a protocol handler registered at the OS level. The four-layer architecture processes every network request through a deterministic pipeline with no machine learning, no heuristics, and no probabilistic decisions. The entire filtering decision occurs in under 2 microseconds per request.
Most ad blockers operate as filters: they receive ad content, then remove it from the DOM. This is fundamentally insufficient — the bandwidth was consumed, the tracking pixel fired, the fingerprint was harvested. Hidden ads are not blocked ads.
The Ad Null Engine prevents ad payloads from being requested at all. DNS resolution for flagged domains returns null — no request reaches the wire. For dynamic ad injection, a structural AST analysis pass quarantines scripts that insert IAB standard ad dimensions before execution, adding under 0.3ms of processing time.
The AI Firewall maintains a curated list of 140+ inference endpoint signatures spanning all major AI providers and behavioral analytics platforms. Requests to these endpoints are dropped at L2 with a null response before reaching the network.
HUSH:// itself contains zero AI components. No model runs in-process. No heuristic learning occurs. No behavioral data is collected, even locally. The protocol is entirely deterministic — its behavior is identical for every user, every session, every request. The protocol doesn't think for you.
HUSH:// doesn't merely eliminate the attention economy — it replaces it. The 0Share Dynamic Retention Adspace Network creates a voluntary, transparent micro-compensation layer where users allocate a fixed monthly "attention budget" to creators whose content genuinely holds their interest.
The "Dynamic Retention" component measures local dwell time on each piece of content — entirely on-device, in a privacy-preserving cryptographic commitment, never transmitted in raw form. Attribution is computed locally and committed to a distributed ledger. The creator receives payment; the user's reading behavior remains private.
| Metric | Chrome 120 | HUSH:// | Δ |
|---|---|---|---|
| Avg. Page Load | 4.2s | 0.7s | 6× faster |
| JS Payload | 2,300KB | 340KB | 85% reduction |
| 3rd-party requests | 38 | 0 | 100% eliminated |
| DNS resolution | ~45ms | ~8ms | 5.6× faster |
| Data per session | ~180MB | ~31MB | 83% reduction |
| Behavioral data sent | 2,680 pts | 0 | Zero |
| Time to Interactive | 5.8s | 0.9s | 6.4× faster |
| Phase | Target | Milestone | Status |
|---|---|---|---|
| α Specification | Q1 2026 | Protocol design complete, whitepaper v0.1 | Complete |
| β Extension | Q3 2026 | Browser extension — L1+L2 implementation | In Progress |
| γ Protocol Layer | Q1 2027 | OS-level handler, 0Share testnet | Planned |
| δ Browser Beta | Q3 2027 | Native browser beta, 0Share mainnet | Planned |
| 1.0 Release | Q1 2028 | Public release, open source, community governance | Planned |
The 0Share Dynamic Retention Adspace Network replaces ad revenue with voluntary, privacy-first micro-compensation. No targeting. No behavioral data. No third parties. A direct, protocol-native value transfer from users who care to creators who create.
HUSH:// measures local attention time on content — entirely on-device, in a privacy-preserving cryptographic commitment. Your monthly budget is distributed proportionally to what genuinely held your attention. No server ever sees your reading behavior.
Creators register a HUSH:// wallet address in their page metadata. When content is consumed by protocol users, they receive direct micro-payments. No platform cut. No middleman. No behavioral compromise. No ad partnership required.
Sites designate "0Share slots" where ads traditionally appeared. These slots are filled with creator-owned context: related content, acknowledgments, tools. Zero third-party content enters the rendering pipeline. Ever.
The 0Share network is governed by distributed consensus. No single entity controls the blocklist, payment rails, or protocol specification. Open source, auditable, structurally resistant to the conflicts of interest that compromised every existing browser.
| Capability | Chrome | Firefox | Brave | Safari | HUSH:// |
|---|---|---|---|---|---|
| Ad blocking (protocol level) | ✗ None | ✗ None | △ Extension | ✗ None | ✓ Native L1 |
| AI inference blocking | ✗ | ✗ | ✗ | ✗ | ✓ L2 Firewall |
| Zero browser telemetry | ✗ Sends data | △ Opt-out | △ Partial | △ Partial | ✓ Architecturally zero |
| No built-in AI assistant | ✗ Gemini | ✗ | ✗ Leo AI | ✗ Siri | ✓ None, by design |
| Creator compensation (no ads) | ✗ | ✗ | △ BAT token | ✗ | ✓ 0Share Network |
| Fully open source + auditable | △ Partial | ✓ | ✓ | ✗ | ✓ Full protocol |
| Sub-10ms DNS resolution | ✗ ~45ms | ✗ ~42ms | ✗ ~40ms | ✗ ~38ms | ✓ 8ms avg. |
| Avg. page load (news site) | 4.2s | 3.9s | 2.1s | 3.6s | 0.7s |
| Behavioral data points/session | 2,680 | ~1,900 | ~400 | ~1,600 | 0 |
A network engineer, frustrated by measuring that a 1,000-word article required downloading 12MB of infrastructure to render 340KB of content, asked a reframing question: what if the problem wasn't filtering speed — it was that we'd accepted extraction as architecturally inevitable? The first document sketched what a "zero-noise" protocol handler might look like.
Origin18 months of systematic analysis across 10,000+ websites, cataloguing ad network infrastructure, tracking endpoint patterns, AI personalization APIs, and behavioral harvesting mechanisms. The scale crystallized: 847,000+ ad infrastructure domains, 140+ AI inference endpoints, 38 third-party scripts per average page. This research produced the definitive taxonomy of extraction vectors that informs the L1 and L2 filter specifications.
ResearchThe key insight: every existing ad blocker operates after the request has been made, treating symptoms rather than causes. HUSH:// intercepts before DNS resolution — before the request wire is touched. This is the architectural difference between filtering and impossibility. The four-layer stack emerged from this single shift in framing.
ArchitectureAn honest reckoning: a protocol that eliminates ad revenue without replacing the economic model would accelerate the collapse of independent content creation. The 0Share Dynamic Retention Network emerged from studying attention economics, local privacy-preserving computation (specifically homomorphic commitment schemes), and the structural failures of Brave's BAT model.
EconomicsThe formal protocol specification began. Four layers, two filter engines, one distributed consensus mechanism for 0Share, one cryptographic commitment scheme for dwell-time attribution. The whitepaper underwent 11 internal drafts before reaching v0.1. The core team grew to eight engineers and two protocol theorists.
SpecificationThe browser extension implementing L1 and L2 is in active development. The 0Share testnet is accepting creator registrations. The full protocol specification is published. We're opening the waitlist to the first cohort of early adopters and collaborators who believe the web can be something better than an extraction machine.
Open Nowhttparchive.org — Annual report on web page weight, JS payload composition, and third-party request patterns across 8 million URLs.
Princeton Web Transparency & Accountability Project — Englehardt & Narayanan, 2016. Foundational taxonomy of web tracking mechanisms.
Addy Osmani, Google Chrome team — Comprehensive analysis of JavaScript parse/execute cost across device classes at scale.
Columbia Journalism Review — Survey of 400 editorial decisions showing advertising dependency's structural effect on content integrity.
CAIDA Research Group — Global measurement study of DNS resolution latency patterns across resolver architectures, 2023.
httparchive.org/reports/privacy — Comprehensive annual survey of privacy-invasive web technologies and tracking pixel prevalence.
Be among the first to experience the web as it was designed to be.
No noise. No tracking. No AI. Just signal.
0 SPAM · 0 SELLING YOUR DATA · 0 TRACKING · EVER