EVERYONE Platform

A unique convergence makes this the right thing for this exact moment.

Three trends are landing at once. Two years ago this opening did not exist. Two years from now the position is taken.

1. The agent era is here, and walled gardens were built for the last era.

The dominant moat for LinkedIn, Facebook, Instagram, and every centralized social network is intentional API friction. They make it hard for AI agents to operate fluidly across them on purpose. Frictionless agent access would undo their data advantage.

That moat is starting to look like the wrong bet. As AI agents become primary users of digital systems, the design priority shifts. The interface that matters is increasingly the API, the MCP endpoint, the structured data shape an agent can query, not the visual UI a human clicks through. AX is the new UX: the findability and accessibility of agents to other agents will, in time, be more significant than the UX layer humans see beneath them.

EVERYONE inverts the walled-garden posture. Trust pillars become protocol-level guarantees. A user's agent can query the Roster freely. Other agents can broker introductions, with per-relationship consent enforced as a protocol rule. The first network where agent fluency is a feature, not a leak.

2. Data sovereignty is shifting from compliance frame to product frame.

GDPR-style portability rights, anti-extraction sentiment, post-Cambridge-Analytica fatigue, and the visible cost of platform lock-in have changed what users will accept from a network. The opening for a non-extractive product with structurally enforced trust pillars is wider than at any point in the last decade.

The "we connect, we do not collect" architecture lands cleanly into this opening. There is no migration cost because there is nothing to migrate. The platform is a layer of intelligence on top of the user's existing data, not a competing repository for it.

3. The post-belief crisis is at its sharpest moment.

Dystopia has colonized the collective imagination. The crises are real and have material causes. The bottleneck is no longer awareness; it is orientation. EVERYONE's whole architecture is built around restoring the felt sense that a different future is possible, and that the team capable of building it is already here, scattered across the planet, waiting to be visible to itself.

4. The late-2026 launch window is the largest distribution moment available.

The World Cup runs November 14 to December 18, 2026, and the "Biggest Team" campaign is currently being developed against that window as one of our planned launches (full brief at /campaigns/worldcup) is the public launch moment for everyone.team. The platform is the lasting infrastructure that activates after the campaign hands the audience off. Without the campaign, the platform takes years to find its audience. Without the platform, the campaign is a beautiful spot with no return path.

We are connected. Structurally. The recognition is recoverable.

The truth comes first. Belief is the lever that activates it. EVERYONE is the place that makes both legible at scale.

The thesis, briefly stated.

We are all in this together, on one team. There is a game being played, everywhere, all the time, by everyone. There is no outside. Every moment, every word, every action is in the game. The team is humanity. We can play to win-win. The interconnection is structural fact, not philosophy.

The chain.

Truth produces recognition. Recognition produces belief. Belief produces orientation, effort, coordination, imagination, AND more. That AND-more is the canon's deliberate openness. Belief operates through channels we can map (effort, coordination, imagination, self-efficacy, momentum, confidence) AND through channels we are still learning to name. Anyone who has been part of something that took on a life of its own knows the second layer is real.

What follows from the chain is what shapes the future. Not deterministic. Not guaranteed. Real, and the most direct lever any of us holds.

The recognition serves the person AND the team in every future, AND is the most direct lever any of us holds for shaping which future becomes real.

The ten foundational ideas (compressed).

1. Infinity and non-duality. We are not separate from the universe. We are the universe experiencing itself.
2. Interconnectedness as survival necessity. Zero-sum is dead. We win together or lose together.
3. The crisis. Both polycrisis (real material conditions) and metacrisis (failure to coordinate) are real.
4. The imagination crisis. We cannot create futures we cannot imagine.
5. Belief as infrastructure. Belief shapes what we attempt, fund, and build. Necessary, not sufficient.
6. Belief as the seed. Belief precedes evidence. Evidence is the fruit. The relationship is necessary, not deterministic.
7. Collective manifestation. Aligning millions around shared vision creates conditions under which reality can reorganize. Operates simply AND mysteriously.
8. Holonic thinking. Transcend AND include. Both/and, not either/or.
9. Collaborative emergence. Vision is clear. Pathway is collaborative. No one has the complete blueprint.
10. Truth without naivety. Hold heartbreak AND possibility simultaneously. Give up and you are doomed.

Why belief is the lever.

The crises have material causes. Belief collapse is a response to those conditions that compounds them. It is a feedback loop. Belief is not the cause of the fire. It is the lock on the door between us and the solutions that already exist.

Without belief, probability is zero. Nobody tries, nothing changes, collapse is guaranteed. With belief, probability is non-zero. The future remains open. That asymmetry alone makes belief the rational choice.

Three independent reasons stack: practical (the precondition for any shot), resilient (the orientation serves us in every future, including disruption), and intrinsic (it feels better to participate than to give up). Each reason holds on its own. Together they make the project resilient to the strongest objection.

A network you can activate, not a feed you consume.

What changes for the user on day one. What compounds over months. What becomes available at scale.

Three layers, three names, three jobs.

The platform is not one thing. It is three layers that compose:

• Roster. The user's private list of people they know. Their personal CRM. Built from imported contacts (Apple, LinkedIn, Facebook, Gmail, Calendar, more) plus their own notes, memory threads, and AI-derived intelligence. Belongs entirely to the user. Never visible to anyone else by default.
• Constellation. The visualization of the Roster and how it reaches outward. The map of the user's network. How they SEE their reach. Personal, beautiful, artifact-quality.
• Team. The global public EVERYONE network. What others see when they see someone is on EVERYONE. The opt-in public layer. The six-degrees graph. The collective.

What the user feels on day one.

The Roster is the V1 because it produces selfish-benefit-on-day-one before any network effect kicks in. The user uploads their existing contacts and sources. The Roster deduplicates, enriches, and merges them into a single navigable surface. Natural-language search returns ranked humans with reasoning. Notes append. Forgotten contacts surface. The user's own life gets immediately better.

The bar set in the rollout plan: by Day 14 of using the Roster, the user's answer to "would you give this up" must be a clear no. If less, the product is not ready for the next ring.

What the user feels at month three.

People in the user's Roster begin showing up on EVERYONE.team. Some opt into the Team layer. The Roster surfaces these moments: Maria from your Apple contacts is now on EVERYONE, here is her public profile, here is the path between you. The line between "people I know" and "the team forming" begins to soften.

E1 starts surfacing daily intelligence: "haven't heard from X in 8 months," "two people in your Roster just joined the team," "someone three degrees out is asking for help in something you have offered."

What the user feels at year one.

The connection engine is operational. Members can ask the graph in plain language. "Who in my graph has been through what I am going through right now." "Who in my reach could help with this." "Is there someone the team could send a hand to in my city this week." E1 finds candidates by graph proximity and topical match, asks both parties privately, and on mutual yes opens a conversation.

The marketplace activates where money is the right form. Most exchanges are gift, time, presence, knowledge. A small fraction are paid. Members earn small affiliate when their direct tree transacts through the platform. Standard rates. Transparent accounting. Tax-reportable.

The moment of recognition.

The deepest user experience is not a feature. It is the moment the user sees their reach. The first time a Constellation renders. The first time a stranger three degrees away turns out to be the right person. The first time the platform surfaces a connection the user would have lost. These are the moments where the canonical line stops being abstract and becomes felt.

We connect, we do not collect. Your data stays where it is.

A structural inversion. Trust pillars stop being aspirational claims and become facts of the architecture.

The structural inversion.

Most platforms compete for your data. They want you to put it on their platform. They own the network you build there. EVERYONE inverts this. We do not want your data on the platform. We want to access your data wherever it lives, with your permission. Your contacts stay in Apple. Your professional graph stays in LinkedIn. Your messages stay in WhatsApp. Your calendar stays in Google. EVERYONE is a layer of intelligence and agency on top of your existing data, not a competing repository.

The platform never owns what is yours. It just makes what is yours work for you.

The two-layer architecture.

Why this matters strategically.

• It dissolves the migration problem. Most platforms pitch "switch from X to us." EVERYONE pitches: "stay on X. We just make X work for you." Zero migration cost equals zero adoption friction.
• It is the cleanest expression of the trust pillars. Own your profile, no extraction, no exploitation stop being aspirational claims and become structural facts. The platform cannot extract what it does not hold.
• It sharpens the agent-era reframe. Walled gardens lock data in. EVERYONE connects across boundaries. We are the inverse of the moat.
• It answers "what if I leave" by removing the question. There is no lock-in because there is nothing to lock. The lack of exit cost IS the trust.
• It defines the business model boundary. Revenue cannot come from owning user data because we never own user data. It comes from access value, partnerships, marketplace activation, premium intelligence features. Aligned by construction.

Built for the agent era.

The trust pillars translate naturally to protocol-level guarantees:

• Your Roster is yours. Your agent, in any tool you use, can query it freely via clean MCP-style endpoints. The schema is public and stable. No extraction, no walled garden.
• The Connection Engine becomes more powerful in agent space. Your agent meets another user's agent. They negotiate connections at the agent layer with the trust pillars enforced as protocol rules. "Looking for an introduction to a fundraiser in Berlin." Other agent: "I have someone, here is the warm path, here is the consent flow." Multi-hop, agent-to-agent, with humans always being the destination.
• Per-relationship consent is per-human, but enforced at the protocol layer. You give consent once. The protocol carries it.
• The "AI as broker" principle extends. AI brokers between humans, AND AI brokers between AIs which broker between humans. The destination is always a human.

The multi-source signal stack.

The Roster's value compounds with each new data source because each captures different signal about a relationship. Locked stack, ranked by signal density:

1. Apple Contacts. What the user explicitly bothered to save. High intent. Notes are the richest layer.
2. LinkedIn. Clean professional layer. Job, company, connection date, endorsements (people who explicitly vouched for you on a specific skill).
3. Facebook with Messages. Actual social communication, not just friend-list presence. Messenger threads are gold. Tagged photos equal real co-presence.
4. Calendar. Who you actually MEET with. Meeting frequency is a much stronger signal than contact-list presence.
5. Email (with auto-spam-filter). Who you correspond with. Two-way threads only. Per correspondent: thread count, last contact, subject keywords.
6. Drive. Who you collaborate on docs with.
7. Slack, Discord, Messages, more. Communication frequency at finer time scales (V2+).

A Roster with all sources connected is the difference between "I have your name in my contacts" and "we are in active working relationship and here is the full context."

Network as personal asset. Substrate for collective coherence.

Two propositions, one architecture. The same act, viewed at two scales.

The individual: a trusted, mission-aligned network is the most valuable asset in any future.

Cash deflates. Skills get obsoleted. Physical resources can be destroyed, lost, or stranded. Real estate is geographic. Professional reputation depends on systems that may strain. Even institutions are mortal.

A network of people you know, who share your values, who you trust enough to ask for help, and who would help you in return is portable, durable, and grows in value as conditions worsen. Through every disruption in human history, the people who fared best were embedded in functional networks. The people who fared worst were isolated.

The platform makes the deliberate construction of this asset possible for any person, anywhere, mediated by AI, anchored to a movement, grounded in a values frame they can defend.

The math beneath the claim.

Granovetter's "Strength of Weak Ties," replicated in 2022 with large LinkedIn data, shows that the most valuable connections for finding work, information, and help are not your closest friends or random strangers. They are the moderately-weak ties: people you know just well enough to trust, who travel in different circles than you. EVERYONE's tree mechanic produces exactly these. Direct tree gives strong ties. Tree's tree (graph proximity 2-3) gives weak ties at scale. Both at once.

The antifragility claim.

Nassim Taleb defined antifragility as a property of systems that gain from disruption rather than resist it. Resilient systems recover. Robust systems endure. Antifragile systems get stronger.

A network of trusted, mission-aligned humans gets stronger in disruption. When supply chains strain, people who can help each other directly become more valuable. When information ecosystems deteriorate, trusted humans become more important than ever. When formal institutions hesitate, the network can act. EVERYONE is antifragile by design. The asset compounds when it is most needed.

The collective: the substrate where humanity finds its highest common agreements.

The dominant framing of AI alignment asks how we align AI with humanity. The question has a problem: it presumes humanity has coherent values to align AI to. We do not. Our values are fragmented across ideologies, religions, cultures, generations, geographies. "Align with humanity" is incoherent at the policy level. AI is being asked to align with a moving inconsistent target.

The same applies to any future encounter with other intelligences (machine, biological, hypothetical others). Coherence-as-a-species is the precondition for coordination with anything outside the species, or even within it.

The platform's strategic role: be the place where humanity discovers its highest common agreements. Not by imposition. Through emergence. Millions of conversations, contributions, and recognitions surfaced and clustered until the substantive things we all agree on across our differences become visible.

Real precedent exists.

Pol.is and vTaiwan have demonstrated this at the civic scale (over 200,000 participants, 26 pieces of legislation influenced, eighty percent leading to government action). Anthropic's Collective Constitutional AI in 2023 used Pol.is to gather public input from 1,002 Americans and trained a Claude variant with their constitution. Anthropic's "What 81,000 People Want from AI" in March 2026 was the largest multilingual qualitative AI study to date. The Collective Intelligence Project, with Anthropic and OpenAI, has been running Alignment Assemblies. The approach works.

None of those projects, however, are consumer-scale. None have a brand, a cultural property, a global launch vehicle, or an audience pre-qualified by mission. EVERYONE could be the consumer-facing global version of what these projects have proven at smaller scales.

One architecture, two scales.

The individual asset and the collective substrate are not separate. They are the same architecture, viewed from different scales. When an individual builds their tree, they build their personal network asset. The same act, summed across millions of members, builds the substrate where humanity's highest common agreements can surface.

Most platforms serve one or the other. Almost none serve both at once. EVERYONE does, by design.

The film makes the truth felt. The campaigns make the team visible. The Roster makes it actionable.

One ecosystem. Each surface produces what the next surface needs.

One ecosystem, five surfaces.

• The film. A 45-minute immersive cinematic experience in physical venues. Five movements take the viewer from separation to recognition. You walk out oriented differently than when you walked in. Addresses the imagination crisis: makes a different future felt and visible.
• The book. 35,000+ words, the philosophical foundation. Live at believe.everyone.team. Addresses the belief crisis: makes the case that belief is infrastructure, not sentiment.
• The brand and team wear. The EVERY1 mark worn as a signal of shared orientation. Identity infrastructure, not merchandise. Belonging made visible. Brand brief and assets at /brand.
• The campaigns. Self-contained 60-90 second cinematic pieces. Truth experiments. Advertisements for possible futures. Each launches before the film, generates audience and revenue, tests creative, and becomes part of the film.
• The platform. This memo's subject. Coordination infrastructure for collective action. The team finding itself, durably, daily, AI-mediated.

The flywheel.

Campaigns drive audience to venues. The film transforms people. Transformation wants expression. Team wear makes belonging visible. Visibility draws new people in. The book deepens the philosophy. The platform sustains connection. Each element feeds every other element. The system compounds.

The mark.

The EVERY1 mark embodies the project's core mechanic. At first glance it appears as a "1." The individual, the isolated self. With attention, the negative space reveals the word EVERYONE. Once seen, it cannot be unseen. A perceptual rehearsal of the project's central transformation. The mark is never put in a box. It is always presented as the inline vector, free across surfaces, embedded in product wherever EVERYONE shows up.

The public launch window (target: late 2026).

The World Cup runs November 14 to December 18, 2026, and the "Biggest Team" campaign is currently being developed as one path into the launch window. Brief lives at /campaigns/worldcup. The Roster ties into this two ways:

• Anyone who signs up via the World Cup spot lands at /v0 (the public team flow), gets their EVERY1 number, and joins the public Team.
• For those who lean in, /me/roster becomes the personal layer they can opt into. The pitch: "You joined the team. Now make your own. Pull in your contacts. Build the network you bring."

The campaign creative leads with the team forming, the canonical line, the recognition. The Roster is the second click for those who lean in.

Future campaigns.

Each campaign is a self-contained truth experiment. Five types: cosmic perspective, human connection, pattern recognition, the wager, collective action. The internal framework is called SHIFT. Faceless channel format (like Kurzgesagt, Melodysheep). Creator invitations welcome external contributors.

Each campaign feeds the platform with audience and the platform feeds future campaigns with material: real members, real moments, real artifacts the team has produced.

v0.1 is shipped and operational. May 10, 2026.

Not a plan. A live artifact, running over real data, gated to the core team while it hardens.

The personal Roster, in numbers.

What is operational right now.

• Auth gate at /me/roster. Allowlist verification on every endpoint. Anyone not on the list sees "A private Roster, coming soon for everyone." Anonymous users redirect to sign-in.
• List view. First 50 people alphabetical, paginated with Load More. Each row shows name, top org, top title, source dots, and indicators for endorsements and notes.
• Filter chips. All sources, single-source views, multi-source intersection, has note, has phone, has email, endorsed me. Collapses on mobile.
• AI search (default mode). Two-pass Anthropic API. Pass 1 (Haiku) translates the query into structured filter JSON. Pass 2 (Sonnet) ranks filtered candidates with one-line reasoning per result. Falls back to keyword search if Pass 1 returns invalid JSON.
• Plain search (toggle). Client-side keyword filter against name, org, title, notes. Instant.
• Detail view. Slide-in panel on desktop, full-screen modal on mobile. Phones (tel:), emails (mailto:), URLs, addresses, LinkedIn connected date, Facebook kinds, endorsements received, Apple-imported notes, and your own notes (reverse chron) with an Add-a-note textarea.
• Notes capture. Append-only. Saves to a Netlify Blob keyed by user id and person id.
• Empty-state file picker. First time the user visits, the page shows "Welcome to your Roster, upload your roster_v1.json." User selects the file, the page parses and validates, the data lands in the user's private Blob.

Privacy-by-construction.

• Real PII (phones, emails, notes) lives only in Netlify Blobs keyed by Supabase user id, never in the public git repo.
• All endpoints verify Supabase token plus email allowlist before serving any data. No GET endpoints.
• The roster JSON is fetched from the Blob on each call (the user's session only). Browser caches it in memory for the page session, never persisted to localStorage.
• Real data lives in canon for prototyping. Public demos use synthetic data that mirrors real network shape but is generated.

Public Team prototype at /v0.

The May 8 overnight build delivered the public-team flow: sign up, get a permanent EVERY1 number, see the live counter, see the world map fill in, see the team's voice synthesized by E1, get a personal tree, share a unique referral link. This is the front door for the World Cup launch window. It compounds with the Roster: as Roster users opt into the public Team layer, the connection engine becomes operational across both.

What is also running.

• Auth and member system (Supabase, Netlify Blobs, role-claims store).
• E1 chat with conversation memory and member profile extraction.
• Streaming chat backend (SSE).
• Gated investor materials and DocuSign-ready legal flow.
• Activity tracking architecture (page views, downloads, feedback) per member.
• Admin panel using merged list-all-users endpoint.
• Brand brief and asset library at /brand.
• World Cup campaign brief at /campaigns/worldcup.

What is deferred to v0.2.

• Notes editing and deletion (currently append-only).
• Embedding-based semantic search (currently filter-then-rank).
• Daily and weekly intelligence loop ("you have not heard from X in 8 months").
• Constellation visualization (data ready, visualization layer not yet rendered).
• Public-team bridge (when a Roster contact joins everyone.team, surface that in the Roster with consent).
• Multi-account onboarding (multiple Gmail accounts, work plus personal).
• Externalized allowlist (currently hardcoded; v0.2 moves to Blob or env var).

Marketing follows trust, not promotion. Each ring becomes the trust layer for the next.

A rollout in concentric rings, ahead of the World Cup launch and into 2027.

The five rings.

• Ring 0

  Now · 14-day burn-in
  Zak. User 0.

  Daily use of the Roster with real data. Bug log, friction notes, surprising delights, missing features. Bar: by Day 14, the answer to "would you give this up" is a clear no. If less, the product is not ready for Ring 1. Output: a Day-14 review document.
• Ring 1

  ~May 24, 2026
  Stephen Brooks. The amplifier.

  Twenty-minute personal walkthrough on video call. Stephen's email added to allowlist, deployed. He uploads contacts (Apple plus LinkedIn plus Facebook), tries his first natural-language search live with Zak watching. Goal: prove the architecture generalizes beyond Zak. If only Zak gets value, we have a personalized tool, not a platform. Output: signed-off feedback memo, plus patches.
• Ring 2

  Early to mid-June 2026
  Five core advisors and collaborators.

  Eric Watson, Vatsalya, Tyler Kolodny, Zev Zaidman, plus one more. Each gets in-person or video onboarding. Each commits to one week of real use and one feedback session. Goal: catch the second wave of issues. Output: feedback memos and a synthesized patch list.
• Ring 3

  Jun 15 to Aug 15, 2026
  The first 100. Friend-of-friend invitation graph.

  Each Ring 2 user invites up to 10 trusted people. Each Ring 1 user up to 20. Onboarding becomes streamlined: three steps (connect Apple, connect Gmail/Calendar, connect LinkedIn or Facebook). Each invitation is personal, with the inviter's note visible to the invitee. Goal: stress-test at 100 users. Identify what breaks at scale. Output: 100 active Rosters and a clear picture of what to harden for 1,000.
• Ring 4

  Nov 14 – Dec 18, 2026
  World Cup launch.

  "Biggest Team" campaign drives public traffic to /v0 (public Team) and, for those who lean in, /me/roster. Conservative target: 5,000 to 25,000 Rosters by January 1, 2027. Aggressive target: 100,000. Output: a public Team layer of EVERY1-numbered members, a private Roster layer for the subset who want their own intelligence layer, and a clear funnel from public to private.
• Ring 5

  2027 and beyond
  Public scale.

  Anyone can join. Free tier plus paid tier (likely $9-19/month). Partnership integrations live. Connection engine activated at density. Marketplace activated for the small fraction of exchanges that involve money. The post-launch state where the Roster becomes a real product with billing, the Team layer becomes the daily artifact, and the platform sustains itself through the economic model.

What gets built between rings.

• Before Ring 1: externalize allowlist from hardcoded array to Netlify Blob. Calendar enrichment. AI search prompt iteration based on Zak's Day-14 review.
• Before Ring 2: Gmail enrichment. Per-person memory threads. The "haven't talked to X in N months" gentle-nudge feature. Mobile polish (review every UI on actual phones).
• Before Ring 3: Streamlined onboarding flow with progress UI. Each connection one click, OAuth handled cleanly, with clear consent screens. Resume support. The public-team bridge. Privacy controls. Embeddings plus semantic search. Constellation visualization.
• Before Ring 4: Server scaling. Anonymous-mode Roster preview (let visitors see what their Roster could look like before signing up). Branded landing page just for the Roster. Multilingual (Spanish first). Free and paid tier definition plus billing integration.
• Beyond Ring 4: Marketplace activation, asks and offers. Event integrations ("who in my Roster is here"). API for third-party agents (the AX-as-UX direction). Public team mechanics activated (six degrees, daily "world got smaller" updates).

Marketing principles.

What we do: show, don't tell (real artifacts, real moments). Lead with truth, not features (the canonical line is the marketing). Personal voices (no generic spokespeople). Beautiful artifacts (Constellation visualizations are poster-worthy). Zero ad spend in Phase 1 (earned media, organic distribution, real word-of-mouth, with the World Cup spot itself as the budget).

What we do not do: no referral leaderboards, no "earn points by inviting," no paid acquisition for cold sign-ups in Phase 1. No hero shots of dashboards. No "AI replaces humans" framing. No comparison-to-competitor takedowns. No fake social proof. Numbers are real or not at all.

Revenue from creating value FOR users, never extracting value FROM users.

Aligned by construction. The business cannot become misaligned without abandoning the architecture.

The five revenue layers.

Why members spread the platform.

Universal affiliate. Every member, not just creators, gets a unique link. When someone in their direct tree (one level only, not multi-level) buys team wear, the book, or future products, the inviter earns a small affiliate. When the platform facilitates a paid service through the inviter's tree, same. Standard rates, transparent accounting, tax-reportable.

This is not pyramid math. Pyramids pay for recruitment. Affiliate pays only on transactions. Bringing a million people who do nothing earns zero. Bringing one hundred who buy a patch earns real but small money. Bringing creators with audiences who buy meaningful volume earns more. The economics enforce quality and align incentives.

What we never do.

• Ads. Ever.
• Sell user data. Ever.
• Charge for the core platform. Free always exists.
• Extract from member-to-member exchanges they want to keep free.
• Manipulate engagement for revenue.

Scale economics.

The Anthropic API is the single largest variable cost. At Phase 1 (Rings 0-2, May to mid-June 2026), cost is roughly $10/week, trivial. At Phase 2 (Ring 3, first 100 users): roughly $300/week plus Netlify infrastructure under $50/month. At Phase 3 (Ring 4, 5K to 100K users at World Cup launch scale): roughly $150K/month at 25,000 users with 5 searches per week. This is the scale economics moment. Mitigations: per-user rate limits, caching, cheaper models for the filter pass, possibly self-hosted embeddings for cheap retrieval. AI infrastructure budget for the launch year: $500K to $1M.

Why this is enough.

A platform with multiple revenue layers, none requiring extraction, none requiring a particular world-state to work, and all of them growing as the network grows, is a real business at scale. The Wikipedia, Substack, Patreon, Stripe, and Patagonia precedents prove this kind of economy is real. Not the absolute maximum scale of an ad-supported platform. A defensible, durable, ethics-aligned business that grows when the network works.

EVERYONE LLC's investor case (the $5M production round) is anchored on the conservative venue-only film model with a 2X cap. The platform's economics are upside above that case. Investors are not betting on the platform. They are betting on the film. The platform succeeding is gravy that reaches them through the reinvestment right and through the value of being a founding member of a cultural property that compounds.

A short list of those leading. Many more across creative, production, and advisory.

Lists of names look like THE list. The boundary is open. Many more not named here.

Co-founders.

• Zak Zaidman. Co-founder, creative director. Philosophical and creative driving force. NSF Fellow at Berkeley (philosophy, cognitive science). Co-founded one of the first immersive content studios in 1993 (Gravity at Silicon Graphics, with Intel, IBM, and Disney). EVERYONE is the synthesis of thirty years of work.
• Zev Zaidman (Kesselman). Co-founder, producer. Career across investment banking, venture capital, and startups. Designed the profit participation model and financial architecture. Operational backbone. Equal co-owner, joint decision-maker.

Cinematic Production Team.

• Harry Gregson-Williams. Original score. Gladiator, The Martian, The Chronicles of Narnia, Shrek. Award-winning (Golden Globe, Grammy, BAFTA, Emmy nominations).
• Dennis Blakey. Leading VFX. Emmy Award winner (Star Trek: Deep Space Nine). Three decades at Digital Domain (Apollo 13, Tron: Legacy, Iron Man 3).
• WEVR (Neville Spiteri, Anthony Batt). Immersive production partner. Fast Company Top 10 Most Innovative in AR/VR. Harry Potter VR, Gnomes & Goblins. Approached by leading venues including Sphere.

World Cup campaign team.

• Larry Kopald. Writing and script. 20+ years at top advertising agencies (American Express, McDonald's, Honda, Pepsi). Pivoted to positive change in 2010 (Nike, Patagonia, Walmart, UN, US DOE). Co-founded The Carbon Underground and SIF Technology. World Economic Forum Carbon and Technology Committee. Senior Fellow at USC Marshall. Eight years on the White House Panel on Innovation under Obama.
• Steve Armstrong. Editor. Cannes Lion, Grand Clio, MOMA TV and Commercial Collection for Editing. Commercial editor for Sony, Coca-Cola, Toyota, Mercedes, Porsche, Jaguar, Nissan. Edited Selena (Jennifer Lopez). Documentary writer-editor (Manry at Sea, Best Feature Length Documentary AmDocs 2018).

Platform build.

• Abraham Zaidman. Primary builder for V1. Has been shipping consumer apps with paid traction. Engaged at a degree, with bandwidth real and bounded. Additional engineering capacity may be added as the rings expand.

Production and brand partners.

• Beyond Fashion. Regenerative team wear partner.
• BLINK Solutions (Mexico). Team wear production partner. Owned by Arturo "Choco" Czonstkowsky. Full apparel, patches, pins, packaging.
• Grupo Delia (Mexico). Steel objects (EVERY1 dogtags, money clips, bookmarks, card cases).
• Elevation Sky Park SF. Immersive venue partner, opening June 2026.

Advisors and extended network.

Eric Watson (Darren Aronofsky's producer, creative advisor). Gary Smith (Blueshore Venture Capital, evaluating help with the raise). Vatsalya and Tyler Kolodny (V11, the deal-sourcing partnership). Stephen Brooks (Garden Club / Ecoversity, partnership and Ring 1 amplifier). Arturo "Choco" Czonstkowsky (BLINK, brother-in-law). Shalo Mayerson (steel cards and coins). Gagan Levy (WeAreGuru). Eric Eisenberg (Active Ingredients). Many more.

None of these people had any obligation to join. They are here because they saw what this could be.

A few real ones. Here is how we hold them.

The premise is stable. The implementation is in active development. Where we are confident, we say so. Where we are still figuring it out, we say that too.

How to engage from here.

Push back. Where is this wrong? Where is it overstated? What known failure modes are we walking into?

Add references. What existing systems, papers, products, or organizations should we know about? Especially in: AI-mediated matching, mutual aid networks, mission-aligned commerce, anti-extractive platforms, decentralized data ownership protocols, six-degrees graph products, V11-shaped capital networks. We will read what you send.

Open doors. The partnership pipeline question is the highest-leverage place an advisor or partner can help. If you know a brand, a creator, a network, or a partner who could plug into the platform with mutual benefit, an introduction is worth more than almost anything else right now.

Direct: zak@everyone.team.