A Day in the Life of NeoNet

Published April 21, 2026

Three people. One network. No landing pages. No forms. No paid media.

1

Priya’s Problem

Monday, 9:12am. Inbox open. Retention dashboard on screen.

Priya has her inbox on one screen and the retention dashboard on the other. The numbers have the dull cruelty of familiarity. One million email addresses. Six hundred thousand dormant. Last quarter’s win-back campaign: 3.8% opens. The presentation for the weekly review is due in forty minutes and she is still rearranging boxes on a slide, as if relabelling the problem might solve it.

Her boss has asked the same question in three different ways over the past year. Why does the list keep growing while revenue from email stays flat? Why do acquisition costs keep rising if the brand already has so many customers? Why does every attempt to wake up the inactive base feel like shouting into an empty room?

Priya knows the answers. The brand’s emails have become predictable in the worst way. There is always an offer, always a countdown, always a reason to buy now. There is almost never a reason to open if you are not already in-market. The emails are timely from the brand’s point of view and irrelevant from almost everyone else’s. She has tried the full playbook: urgency subject lines, personalisation tokens, re-permission campaigns, bigger discounts, softer discounts, a “we miss you” sequence, a “last chance” sequence. Every experiment shifts the numbers fractionally and changes the outcome not at all. Six hundred thousand addresses sit there like a quarterly rebuke.

Why do I have a million addresses and no attention? she thinks, then deletes the line from her notes because it sounds too emotional for the meeting.

The proposal lands in her inbox at 9:19am. A daily email programme. No per-send fee. Content built to be opened, not to push. A pilot aimed at the people who have stopped responding to everything else. It sounds faintly implausible, which at this point is almost a recommendation. The plausible ideas have already failed.

By 9:31 she is on a call, arms folded, scepticism intact. She asks the obvious questions. Will this hurt deliverability? No — it rides as a controlled, protected layer. Will it cannibalise promotional revenue? It is not designed to sell. Then what is it designed to do? Earn attention back, one day at a time. She waits a moment before answering. By 9:44 she says yes — not because she is convinced, but because she has run out of ways to say no. The pilot costs her nothing. The only real risk is that nothing happens, and she already knows what that feels like.

2

Aisha’s Inbox

On her commute, three weeks later, clearing personal mail before work.

Aisha has a system for email that has served her well for years. Bank alerts first — anything that might be a fraud notification or an unusual transaction. Flight updates if she has any travel upcoming. Work messages that look urgent. Everything else gets swiped away in under a second. She is good at this. It takes her roughly four minutes every morning to process twenty-odd emails and feel clean about her inbox.

She is on the 8:22 train, one hand on the overhead rail, phone in the other, when a subject line from the food brand catches her eye. Not because it is dramatic. Because it is not. It does not say “Last Chance” or “Exclusive Offer” or “We Miss You.” It contains a number she does not recognise, something with a Greek letter prefix, and a question — a short trivia question about something she finds genuinely interesting. The email looks, briefly, like it might not want anything from her. She opens it.

Inside: a short paragraph from the brand — a piece of content, readable fifteen seconds, no urgency. And below that, a quiz. Three questions. She taps through them on the train without really deciding to. At the end a small message: she has earned something called Mu. The email does not make a big deal of explaining what Mu is. It simply tells her that tomorrow’s subject line will show her balance. She is mildly intrigued in the way she is mildly intrigued by her fitness app’s weekly summary. She closes the email. She does not think about the food brand again until the next morning.

The next subject line shows: Mu 14. The one after: Mu 22. Then 31. The number is becoming a tiny continuity device, a small measurement of something she did not know she was accumulating. Some mornings the email has a quiz. Some mornings a prediction question about the news. Some mornings a short challenge that is just specific enough to feel like a person made it rather than an algorithm. The content does not always land perfectly, but it is always brief and never demanding.

What changes is not dramatic. Aisha is not suddenly a loyalist. She has not visited the website. She has not put anything in a basket. She would struggle to explain to a friend why she keeps opening these emails. But the brand has re-entered the rhythm of her mornings in a way it had not been present for eighteen months — not because it offered her a discount, but because it gave her something worth thirty seconds of her time, every day, without asking for anything back. By the fourth week she opens on most weekdays. By the fifth, the subject line feels like a small appointment rather than an interruption.

I open this because it gives me something, not because it wants something, she thinks, then laughs at herself for reviewing an email on public transport.

3

The Tap

Same commute. Six weeks in.

Six weeks into the new routine, the food brand email has become unremarkable, which is its own kind of success. Aisha opens it the way she opens her weather app — not because she is excited but because it has become part of the shape of her morning. She answers the quiz. Her Mu balance ticks up. The content today is about something she vaguely cares about. She reads it, not carefully, but enough.

At the bottom of the email, below the main content, is a small unit she has not noticed in previous sends. A fashion brand. She has seen the name before — on a shopping app, she thinks, or in a conversation, or on someone’s bag on a previous commute. It has the kind of peripheral familiarity that does not constitute knowledge but is not quite ignorance either. The brand exists somewhere in the background of her awareness, the way many brands do, without ever having quite resolved into a choice.

The prompt is simple. Something like: get their daily email. One tap.

She thinks about this for approximately one second. The brand is familiar enough. The tap costs nothing — not money, not effort, not even the cognitive overhead of a form. She is already in the habit of opening daily emails, so the marginal cost of one more feels very low. And she is, right now, inside an email experience that has earned a small amount of trust through repeated, undemanding usefulness. The suggestion feels contextually appropriate. If this turns annoying, I’ll just ignore it, she tells herself, which is the modern consumer’s version of optimism.

She taps.

No form appears. No page loads. No field asks her to type the same email address she has typed a thousand times. The action completes before she has fully registered that she performed it. She wonders briefly whether anything actually happened, and then the train stops at her station and she puts her phone in her pocket and walks to work.

The next morning an email from the fashion brand appears in her inbox. It has the same lightness to it — short, useful, slightly playful, nothing like the bloated newsletters she deletes on instinct. She opens it, reads it for forty seconds, and goes back to her morning without attaching much significance to the event.

But a significance exists all the same. A relationship has begun without friction. Not because she hunted for it. Not because the brand trapped her in a funnel. Not because she filled in a form and then forgot she had done so. It began because the easiest next step, inside a familiar and already trusted environment, felt worth taking. She did not fill in a form. She was not asked to.

4

Rajan’s Dashboard

Coffee. Acquisition report. One number finally moving the right way.

Rajan has been running paid acquisition for six years and has watched the economics deteriorate in almost perfect correlation with his growing expertise. He knows exactly how to optimise a Meta campaign, which is to say he knows exactly how to spend more money slightly less wastefully than before. His cost per acquired subscriber has roughly doubled in two years. The agency tells him this is industry-wide. He knows it is. That does not make the number easier to explain in the quarterly business review. Why does every new customer have to come through someone else’s toll booth? he thinks, not for the first time.

He agreed to trial a new acquisition channel three weeks ago, mostly because his head of growth had run out of other ideas and this one carried no upfront cost. No creative asset brief. No guaranteed volume commitment. No landing page to build and test. He was mildly sceptical in the way he is mildly sceptical of most things that have not yet proved themselves. He has been mildly sceptical of many things that later worked and many that did not.

This Tuesday morning, with his coffee going half-cold, he refreshes the acquisition dashboard before his first meeting. The new line is not dramatic. It is not supposed to be. A few weeks ago it was a trickle. Now it is a steady daily flow: new subscribers arriving one by one, then in small batches. Each carries a verified email address, a logged consent event, a timestamp, a recent open from another brand’s email stream that confirms the address is live and the person is genuinely in the habit of opening email. Not anonymous traffic. Not inferred intent. Not an audience rented from an algorithm and loosely matched by interests. Real people, known identities, explicit choices.

He clicks through to the recent cohort. Their open rates are running at 31%. His paid-acquisition cohort from Meta last quarter ran at 19%. The NeoNet subscribers are also calmer in their early behaviour — less spike, less immediate drop-off, fewer junk sign-ups. He does not let himself get excited; experience has trained that response out of him. But he feels something more useful than excitement. Relief.

For once, he is not buying a promise. He is watching actual behaviour accumulate — opens, interactions, repeat engagement — before he has spent a single rupee. His team has been trained to think in front-loaded costs: spend for clicks, spend for leads, spend for sign-ups, spend again to warm those leads into customers. This channel reverses the emotional order. First comes attention. Then evidence. Then the commercial decision.

He scrolls through the last seven days. The pattern is holding. A believable number, and a believable number can be planned around. When his head of performance walks in, Rajan turns the screen slightly and says, almost casually: “This is the only line item I am not arguing with this week.” In his world, that counts as enthusiasm.

5

The Decision

Eight weeks in. Seasonal campaign approaching.

By the eighth week Rajan has a seasonal campaign ready. The creative is approved. The merchandising team wants volume. Finance wants discipline. He looks again at the pool of subscribers who have been opening his daily emails with consistency he is not used to seeing from paid-acquisition sources. He has been watching them for two months. He knows their open rates. He knows their interaction patterns. He knows they have not yet received a single promotional email from his brand. They are a clean slate, and the slate has been warming in the background while he watched.

Now comes the point at which most channels become expensive. Up to this moment he has spent nothing to acquire them. The cost appears only if he chooses to move from relationship into promotion. The transfer cost per subscriber appears on screen alongside the average cost per subscriber from Meta last quarter. The comparison does not need commentary. He waits a day — caution has become muscle memory — and then approves the transfer in under two minutes.

On the other side of the network, Priya is sitting in a review meeting when the notification lands. Revenue share credited to the food brand’s account. She reads it once, then again more slowly. For a moment she thinks she has misread the screen. Her dormant list — the same list that has sat useless and quietly accusatory on her quarterly slides — has just generated revenue. She does not say anything immediately. She takes a screenshot first.

When her boss asks later in the meeting whether the pilot is showing anything interesting, Priya turns her laptop around and says nothing. The screenshot does the talking. The number is not large enough to retire on. It does not need to be. What matters is what it represents: the inactive base has stopped being a pure liability. Attention has started to behave like an asset.

Her boss leans forward. “Wait,” he says. “We earned this from the list that wasn’t opening?”

Priya nods. She is still cautious — marketers who have worked with channels long enough develop superstitions against early celebration — but the mood in the room has changed. Not because the pilot has already solved retention. Because the economics are no longer pointing in only one direction.

That evening Rajan’s campaign goes out to his transferred cohort. Priya forwards her screenshot to herself so she can find it for next week’s deck. Neither of them calls what is happening a breakthrough. Both of them know better than to use that word too early. But both of them sleep slightly better.

6

What Aisha Notices

A Tuesday morning. Ten weeks in.

Ten weeks in, on a Tuesday morning, Aisha is making tea before her first call and clearing her inbox in the quiet few minutes before the working day starts. She opens the food brand’s email first — this has become the instinctive sequence, not a decision she re-evaluates each day. Then the fashion brand’s. Both identified with the distinctive µ in the subject. Then the bank alert.

If someone had told her two months ago that this would be her order of morning attention, she would have found it implausible. She has never thought of herself as someone who reads brand emails willingly. She still does not think of herself that way. The emails have simply stopped feeling like brand emails in the sense she learned to ignore. They feel, in a way she could not quite articulate, like something that is for her rather than at her.

The food brand email is still there — brief, still faintly rewarding in a way she would struggle to describe without sounding sillier than she intends. The Mu number in the subject line has grown to a point she finds oddly satisfying to look at, like a streak counter for a habit she did not mean to form. She is still not entirely sure what she will do with it when the moment arrives, but seeing it climb feels like evidence of something — a small record of consecutive mornings in which she chose to engage rather than archive.

The fashion brand has a campaign on today. Not a loud one. Just a clear selection of things she might plausibly wear, presented without pressure. She clicks through, looks at a jacket for two minutes, and by lunch has bought it. She does not think of this as the conclusion of a marketing funnel. She thinks of it as buying a jacket on her lunch break.

She does not know that one brand’s manager took a screenshot on a Monday morning and forwarded it to her boss with no accompanying message. She does not know that a CMO in another office approved a two-minute transfer decision before his first meeting. She does not know that the single tap she performed on a train six weeks ago connected two companies in a revenue event that neither of them managed or planned in the traditional sense.

She knows only the surface truth, which is sufficient. Two brands are in her life now in a way they were not before. One returned without bribing her. The other arrived without intruding. Both earned a place in the same inbox she had previously reserved for things that were strictly necessary.

The inbox did not become more sophisticated from her point of view. It became more worth opening.

**

What Just Happened

Priya lived through reactivation — dormant customers returning to an active relationship with the brand — and something she had not expected: publisher revenue from a network that was working while she ran her regular programme in parallel. The list that was a quarterly embarrassment became an asset before it became a commercial channel. Her boss’s question — Wait, we earned this from the list that wasn’t opening? — is the right question. The answer is yes, and the mechanism is simpler than it sounds: attention, once earned, can be routed.

Rajan lived through acquisition at a fraction of his Meta cost, with engagement evidence already accumulated before he spent a rupee. He did not buy a promise. He observed behaviour, assessed it, and approved a transfer at the moment of certainty rather than the moment of hope. The subscribers on his list arrived with verified identity, explicit consent, and open history — everything a paid campaign claims to deliver and rarely does in such clean form.

Aisha lived through relationship before promotion. For two months she received something genuinely useful every morning, without being asked to buy anything. When the promotional email eventually arrived, it arrived in an inbox that had already decided to trust the sender. She did not experience a marketing system. She experienced email doing a better job of being email.

Nobody called this revolutionary. Nobody filled in a form. The inbox did not change. What changed was what was worth opening. This is what NeoMails and NeoNet do.

Thinks 1936

Donald Boudreaux: “It’s no astonishing coincidence that Wealth of Nations appeared in the same year as America’s Declaration of Independence,
Thomas Jefferson’s manifesto, which Milton and Rose Friedman described as
“the political twin of Smith’s economics” (1989). Both works are products of the liberalism that was just then beginning to free humankind from its ages-old self-imprisonment within an ideology that treats most individuals as inferior to the nobility, treats commerce with contempt, and treats innovations that threaten traditional economic arrangements as intolerable. The fruits of Smith’s and Jefferson’s quills not only reflected the liberalism of the age; they also nourished that liberalism. Indeed, perhaps no other single work—except maybe John Locke’s Second Treatise on Government—has done as much as have Wealth of Nations and the Declaration to advance the cause of liberalism.”

Tyler Cowen book “The Marginal Revolution: Rise and Decline, and the Pending AI Revolution”: “Tyler traces the birth, triumph, and quiet decline of marginalism — the idea that made modern economics possible. Beginning with the 1871 Marginal Revolution and ending with the AI tools transforming research today, this is a book about how ideas are born, why they take so long to arrive, and what happens when machines begin to see around corners that humans cannot.”

WSJ: “The question isn’t whether AI is cognitively dangerous, the question is whether you’re using it as a crutch or as a coach. Memory consolidates through a process called elaborative encoding. The deeper and more actively you process information, the stronger the trace. Shallow engagement (skimming, passively consuming, letting AI summarize for you) leaves faint impressions. Active struggle—retrieving, connecting, questioning—builds durable knowledge. This is sometimes called the “desirable difficulty” principle, and it’s one of the most robust findings in cognitive psychology. Easy learning is often the least sticky. Struggle is what makes knowledge hold. AI, when used badly, is a desirable-difficulty machine running in reverse. It removes friction, smooths edges, and hands you the answer before you’ve had a chance to reach for it yourself. Every time you ask it to summarize a book you haven’t read, recall a fact you could have retrieved yourself, or draft a thought you were about to form, you’ve skipped a cognitive rep.”

FT: “Private credit is distinct from the public market credit plotted out in our treemap. Both are credit, but the public bit is typically tradeable bonds that pay fixed interest rates. That’s all the red stuff in the chart. Meanwhile private credit doesn’t trade (at least not much), usually pays a floating rate — say, 5 percentage points above benchmark interest rates — and is covered in stickers saying how senior it is in the borrower’s capital structure. In other words, it ranks more highly if the borrower collapses. It might even have some bespoke terms and conditions attached to protect lenders, and include specific ring-fenced assets supposedly backing the loan.”

Email’s Next Act: How NeoMails and NeoNet Change Everything (Part 7)

Why This Is Email’s Next Act

The dormant list has long been treated as a liability. Brands stare at their inactive addresses and see a problem — a hygiene issue, a deliverability risk, a reminder of customers they failed to retain. The standard response is either to write the list off or to spend money trying to reactivate it via paid media — paying Google or Meta to serve ads to people whose email addresses already sit in the brand’s database, which is the purest form of AdWaste imaginable.

NeoMails and NeoNet invert this entirely. The dormant list is not a liability. It is the founding contribution to the network. Brand A’s dormant addresses are not a problem to be managed — they are the starting pool for reactivation. The subset that opens and engages becomes network-grade attention: the raw material from which NeoNet Acquisition is built. Atrium takes that raw material, sends NeoMails at its own cost, reactivates a portion free of charge, and uses the rest as an acquisition surface for Brand B. Brand A earns ActionAd revenue from its reactivated base through the NeoMails they receive — before a single customer returns commercially. The list that was worth nothing yesterday is generating value today — not because anything about the customers has changed, but because the infrastructure to monetise dormant attention now exists.

This logic compounds with every brand that joins the network. Each new Brand A increases the pool of dormant attention available for acquisition. Each new Brand B increases the number of ActionAd surfaces and the revenue available to Brand A. Each new transfer fee increases Atrium’s margin, which funds outreach to more brands, which grows the network further. The system self-finances from the moment the first ActionAd converts. No external funding mechanism is required at any point.

The significance extends beyond the economics. Email is the only owned channel in marketing. Every other channel — search, social, display, programmatic — routes through a platform that the brand does not control. The platform sets the rules, changes the algorithm, raises the prices, and extracts rent from every transaction between a brand and its customers. Email is different. An email address, freely given, is a direct relationship between a brand and a person. No algorithm stands between them.

What NeoMails and NeoNet do is take that foundational advantage of email — the owned, direct, algorithm-free relationship — and extend it into a cooperative network where the relationships of many brands create something more valuable than any single brand’s list alone. Recovery becomes possible because a customer who drifted from Brand A can be found in Brand B’s active base and returned with a single tap. Acquisition becomes possible because Brand B’s engaged audience can be introduced to Brand A with no friction and no paid media. The inbox stops being a silo and starts being a network — where attention flows across brands inside owned channels rather than through rented ones.

Email once held a privileged place in the relationship between brands and customers. That privilege was not lost because the technology failed. It was lost because the emails stopped being worth opening. NeoMails and NeoNet are a structural answer to that structural problem. Not a revival. Not a better template. Not a smarter subject line. A reinvention of what the inbox is for.

NeoMails create permissioned attention. NeoNet routes it across brands. Atrium monetises the movement from attention to action.

That is email’s next act.

Thinks 1935

Bloomberg: “In the early 1960s, the RAND Corporation, a think tank based in Santa Monica, California, popularized the idea of red and blue teams. The red team had to think like the Soviet military and probe the US for weaknesses. The home team, or blue team, had to counter the red team, with the two often engaged in prolonged war games. The idea is simple: To fight a formidable adversary we need to think like the adversary. Think red or be red. Since then, red teaming has spread to government, business and beyond. The CIA created a new red cell in response to the September 11 attacks, and the US military extended its use of red teaming after the failures of the Iraq War. Red teaming is standard in the world of cybersecurity, where companies use internal hackers to probe their digital infrastructure. Google operates a dedicated AI red team to stress-test large language models for vulnerabilities such as the theft of sensitive data (“data exfiltration”) or using prompts to ignore ethical guardrails (“jailbreaking”). It is time to apply the methodology of red teams to the key institutions of liberalism.”

Cal Newport: “The growth of A.I. has brought new cognitive concerns. A study from January, based on surveys and interviews with more than 600 participants, revealed a “significant negative correlation between frequent A.I. tool usage and critical thinking abilities.” Another recent study, which tracked the brain activity of research subjects who were writing with the help of large language models, found that “brain connectivity systematically scaled down with the amount of external support.” The loss of our ability to think is a big deal. Close to 40 percent of the U.S. gross domestic product comes from so-called knowledge and technology-intensive industries, from aerospace manufacturing to software development to financial and information services. Companies in these fields alchemize advanced human thought into revenue; as we weaken our brains, we also threaten to weaken our economy. It is notable that productivity growth in the private business sector stagnated during the same 2010s period when technology became measurably more distracting. A diminished ability to use our brains also has concerning personal impacts. Thinking is what lets us make sense of information in a complicated world.”

WSJ: “Agents shouldn’t have human names. They shouldn’t be on org charts. And they shouldn’t be given a specific job title, Nickle LaMoreaux, chief human resources officer at IBM said,…at the WSJ Leadership Institute’s Chief People Officer Summit in Menlo Park, Calif. “We learned this the hard way,” she said. IBM used to have a series of agents that went by names like Harry, Hermione, Charlie and Sherlock. But it fell into a trap of focusing too much on each agent’s individual use cases rather than using them for more impactful large-scale process re-engineering. “Too many CPOs are getting so hung up on: what does this agent do, what does this AI do?” she said. The biggest bang for your buck, she said, isn’t in individual assistant-type agents that, say, help write emails. It’s in integrating AI into enterprise workflows.”

FT: “Since February, Chinese AI models made by groups such as DeepSeek and MiniMax have overtaken US rivals in token consumption, according to OpenRouter data, which tracks these units of text, code or data processed by large language models.  The shift points to a deeper change in the AI race, with Nvidia’s Jensen Huang saying this month that the production and use of the digital units will drive the AI economy. Because developers are charged per token, it doubles as both a proxy for adoption of models and a pricing battleground between AI companies. As AI agents, such as those built on the open-source platform OpenClaw, consume vastly more tokens than earlier chatbots, the ability to cheaply produce tokens is reshaping global competition — and giving China a new edge.”

Email’s Next Act: How NeoMails and NeoNet Change Everything (Part 6)

What Makes This System Radical

Four ideas sit at the heart of NeoMails and NeoNet, each inverting something that email marketing has taken for granted for two decades.

The first is ZeroCPM. Every ESP that has ever existed has charged brands per email sent. This model makes the Relate email irrational — its ROI is too diffuse to justify a per-send cost. ZeroCPM removes that barrier. If sending costs nothing, daily relationship email becomes rational. A brand can send every day without budget anxiety. As ActionAd fill rates improve and the network grows, the effective CPM drops further below zero — until the email programme is a net revenue generator rather than a net cost. The question changes from “can we afford to send?” to “can we create something people want to open?”

The second is the One-Tap Subscribe ActionAd. Acquiring an email subscriber has always required friction — a landing page, a form, a confirmation email, a deliberate decision from a potential subscriber who has to weigh whether the brand is worth the effort. Drop-off at every stage is enormous. The One-Tap Subscribe eliminates friction entirely. Because Atrium holds the email ID — it is the ESP processing the NeoMails — the subscription prompt arrives pre-filled. One tap. No landing page. No form. No confirmation. Explicit, logged, in-context consent from someone already engaged with email. This is a consent quality that no lead ad on Meta, and no form on a website, can match.

The third is authenticated identity. The entire digital advertising industry was built on an uncomfortable foundation: brands could not reach their own customers directly at scale, so they paid platforms to reach them probabilistically. NeoNet operates exclusively on first-party, authenticated identity. Every ID is real. Every opt-in is a real consent event. Every ActionAd impression is delivered to a person whose identity is known, not inferred. The advertiser pays for certainty, not probability — and yet pays significantly less than on Meta or Google, because there is no platform auction extracting margin from every impression.

The fourth is the live-attention quality filter. The chain only carries live attention forward. A dormant address — the ghost of a customer who stopped engaging years ago — sits outside the network until it proves itself with an open. This self-filtering mechanism means NeoNet’s audience quality is structurally higher than any purchased list, any retargeting pool, or any lookalike audience. The network gets better as it grows, because more brands mean more quality signals, more active attention, more verified identity.

7

Why This Is Email’s Next Act

The dormant list has long been treated as a liability. Brands stare at their inactive addresses and see a problem — a hygiene issue, a deliverability risk, a reminder of customers they failed to retain. The standard response is either to write the list off or to spend money trying to reactivate it via paid media — paying Google or Meta to serve ads to people whose email addresses already sit in the brand’s database, which is the purest form of AdWaste imaginable.

NeoMails and NeoNet invert this entirely. The dormant list is not a liability. It is the founding contribution to the network. Brand A’s dormant addresses are not a problem to be managed — they are the starting pool for reactivation. The subset that opens and engages becomes network-grade attention: the raw material from which NeoNet Acquisition is built. Atrium takes that raw material, sends NeoMails at its own cost, reactivates a portion free of charge, and uses the rest as an acquisition surface for Brand B. Brand A earns ActionAd revenue from its reactivated base through the NeoMails they receive — before a single customer returns commercially. The list that was worth nothing yesterday is generating value today — not because anything about the customers has changed, but because the infrastructure to monetise dormant attention now exists.

This logic compounds with every brand that joins the network. Each new Brand A increases the pool of dormant attention available for acquisition. Each new Brand B increases the number of ActionAd surfaces and the revenue available to Brand A. Each new transfer fee increases Atrium’s margin, which funds outreach to more brands, which grows the network further. The system self-finances from the moment the first ActionAd converts. No external funding mechanism is required at any point.

The significance extends beyond the economics. Email is the only owned channel in marketing. Every other channel — search, social, display, programmatic — routes through a platform that the brand does not control. The platform sets the rules, changes the algorithm, raises the prices, and extracts rent from every transaction between a brand and its customers. Email is different. An email address, freely given, is a direct relationship between a brand and a person. No algorithm stands between them.

What NeoMails and NeoNet do is take that foundational advantage of email — the owned, direct, algorithm-free relationship — and extend it into a cooperative network where the relationships of many brands create something more valuable than any single brand’s list alone. Recovery becomes possible because a customer who drifted from Brand A can be found in Brand B’s active base and returned with a single tap. Acquisition becomes possible because Brand B’s engaged audience can be introduced to Brand A with no friction and no paid media. The inbox stops being a silo and starts being a network — where attention flows across brands inside owned channels rather than through rented ones.

Email once held a privileged place in the relationship between brands and customers. That privilege was not lost because the technology failed. It was lost because the emails stopped being worth opening. NeoMails and NeoNet are a structural answer to that structural problem. Not a revival. Not a better template. Not a smarter subject line. A reinvention of what the inbox is for.

NeoMails create permissioned attention. NeoNet routes it across brands. Atrium monetises the movement from attention to action.

That is email’s next act.

Thinks 1934

GeekWire: “Two decades [after its launch], AWS generates nearly $129 billion a year in revenue. That’s enough to rank in the top 40 of the Fortune 500 if it were a standalone company, ahead of the likes of Comcast, AT&T, Tesla, Disney, and PepsiCo. Companies such as Netflix, Airbnb, Slack, Stripe and thousands more have built massive businesses on its platform. When AWS goes down, it ripples across the web, taking down apps, websites, and services that most users never knew were on a common infrastructure. But the business that defined cloud computing — bankrolling Amazon’s expansion into everything from streaming to same-day delivery — is now grappling with the most significant challenge since it launched. The rise of AI has upended the industry, empowering Microsoft, Google and others, and creating competitive dynamics that seem to change every month. For the first time, AWS faces questions about its long-term ability to lead the market it created.”

WSJ: “Airlines are retrofitting their passenger jets or buying new ones that have a larger share of premium seats. Their goal is to squeeze more revenue out of each seat flown, catering to travelers willing to pay up for lie-flat and extra legroom seats…Since January 2020, the number of scheduled business and first-class seats on domestic flights has grown 27%, according to research from aviation data firm Visual Approach Analytics. That is nearly three times higher than scheduled economy seats, which rose just 10% over the same span.”

NotBoring: “The world is a place where unexpected futures unfold, but in somewhat predictable ways. As humans, we can envision almost all of them with roughly the same amount of effort with a very similar amount of time given to each thought. Computers can’t. It’s no wonder traditional computing struggles with this complexity. Imagine anticipating and coding each and every action, as well as the interactions between all of those actions. Mathematically, in a traditional engine, simulating N fans is at least an O(N) or O(N2) problem. Each person, flag, chair, and ball must be explicitly calculated — and really, the interactions between them need to be calculated, too. In robotics, machines must respond to situations in the real world in the same amount of time, regardless of their complexity, even though, in traditional computing, different situations can take wildly different amounts of time to simulate. This has been a major bottleneck for robotics and embodied AI progress. World Models are a solution to that problem.”

NYTimes: “Experts are increasingly finding that having a powerful posterior isn’t just about looking good in jeans. The glutes are the largest muscles in our body and are closely tied to stability, balance and aging well. They act like shock absorbers when we walk or climb stairs, and building a strong butt can help prevent and manage back pain at any age and reduce the risk of falling for older adults.”

Email’s Next Act: How NeoMails and NeoNet Change Everything (Part 5)

NeoNet — The Cooperative Layer

Most advertising networks are adversarial by design. Two brands competing for the same customer bid against each other in an auction. The winner pays. The platform earns regardless. The brands are not collaborating — they are fighting over an audience that the platform controls and rents back to them at whatever price the market will bear.

NeoNet is built on a different premise. It is cooperative rather than competitive. Two brands on NeoNet are not bidding against each other for the same audience. They are trading access to their own audiences — audiences they already own and have relationships with — in exchange for access to each other’s. Brand A does not hand Brand B its customer list. What the network provides is reciprocal access to each other’s active NeoMail audiences — the pool of live, opening, engaged subscribers that each brand has built. The trade is first-party for first-party. There is no auction-based rent extraction on anonymous attention — no bidding determines who reaches whom. The brands collectively own the acquisition channel rather than renting it.

NeoNet operates in two directions simultaneously on the same infrastructure. Recovery points backward: a customer who drifted from Brand A’s active base can be found in Brand B’s NeoMail audience and recovered via a One-Tap Subscribe ActionAd — without either brand spending on paid media. Acquisition points forward: a customer who has never engaged with Brand A can be introduced via Brand B’s NeoMails and subscribe with one tap, entering Brand A’s NeoMail base as a genuinely new, verified, consented relationship.

The quality of the identity flowing through NeoNet is what distinguishes it from every other ad network. Google and Meta operate on probabilistic matching — an algorithm estimates that someone who behaved in a certain way is likely to be interested in a certain brand. The match is a probability, not a certainty. NeoNet operates on authenticated identity. Every ID is a real, verified email address that has recently opened a NeoMail, confirming it is live, and has tapped an explicit opt-in confirming consent. There is no probabilistic matching. There is no inferred intent. The consent event is logged with timestamp, source, and action. A verified, consented, recently engaged email subscriber acquired through NeoNet at Rs 20 is dramatically better value than an unverified lead form fill at Rs 100+ on Meta — and delivers substantially better downstream engagement because the relationship began with a deliberate, in-context choice.

The quality filter built into NeoNet is its most underappreciated feature. An ID only propagates through the network after opening at least one NeoMail. This means the chain runs on verified live attention, not dead database volume. The audience receiving an ActionAd is not a list of stored addresses — it is a cohort of people who are actively opening emails, engaging with Magnets and earning Mu, building daily inbox habits. That is a fundamentally more valuable audience than anything a conventional ad network serves. NeoNet does not involve brands swapping raw email lists. Atrium mediates the identity and consent layer throughout — a brand receives a subscriber’s identity only after explicit opt-in and, where applicable, transfer.

Thinks 1933

FT: “It’s hard to think of many other chief executives who would so vehemently deny the lure of lucre, even in the unlikely event they had won a Nobel Prize. Then again, it is hard to think of many people quite as singular as [Demis] Hassabis: the London-born son of a Greek Cypriot father and a Chinese Singaporean mother who emerged as a child chess prodigy; a teenage video games creator who turned down a £500,000 offer to skip university; a successful entrepreneur who netted $136mn from selling his AI lab to Google in 2014; and the first Nobel laureate in modern times to win the prize for research conducted at a company they co-founded. Impressive though these accomplishments may be, they are not enough for the 49-year-old Hassabis, who is still driven to achieve a lot, lot more. He believes his most significant accomplishment, his life’s mission, still lies ahead of him. It is to achieve, what his DeepMind co-founder Shane Legg has called artificial general intelligence, human-level AI across all cognitive tasks, which would be an extraordinary milestone in human history if it were ever accomplished. As the British mathematician IJ Good once argued, the creation of such an “ultraintelligent” machine might mark humanity’s “last invention” because machines would then be more capable of inventing everything else.”

WSJ: “New studies demonstrate what should be obvious: Universal basic income programs kill initiative…[Recently], economist Kevin Corinth and Hannah Mayhew of the American Enterprise Institute released a survey of 122 basic-income pilots that took place between 2017 and 2025 in 33 states and the District of Columbia. They reported mixed results. Employment increased in some programs and decreased in others, and the role of the pandemic was difficult to assess. The pilot programs varied “in their designs, data collection and study quality,” and only 30 of them provided employment outcomes. Hence, the authors counsel against sweeping policy conclusions based on the results. Most experiments were small, and the evaluations “rely exclusively on survey data and are thus subject to reporting bias and non-response bias.””

Brian Doherty: “Libertarianism is based in economic theory, as economic science teaches how workable order can arise from the seeming chaos of free actions uncoordinated by a single outside intelligence, and how government intervention is apt to upset that balance. It is based in moral theory, positing what is or is not right when it comes to a human being, or group of human beings, using force or coercion on another. It is based in political theory, exploring the likely effects of granting human beings power over others. It is ultimately a delicate ecological balance of all these, with history in the mix as well, to further understand how the constant struggle of liberty versus power tends to play out in the real world.” [via CafeHayek]

WSJ: “The new weapons of global power are oil, rare earths and microchips.”

Chris Walker: “AI is not only unlikely to automate the deepest science anytime soon; it is actively reshaping the incentive landscape of the science we have, tilting effort toward well-explored territory and away from the data-sparse questions most likely to produce genuinely new scientific theories. This exploitation trap, and the simultaneous diffusion of AI tools to practitioners outside the academy, sets up the case for Mokyr. His framework suggests that the answer depends less on how powerful the AI becomes than on whether the right institutional infrastructure exists to channel AI’s capabilities into positive feedback loops. What that infrastructure looks like in practice (open data channels, incentives to share failures and surprises, mechanisms for connecting practitioners to researchers) is the subject of the essay’s second half. The original Industrial Enlightenment, as Mokyr calls it, did not merely produce discoveries. It produced the sustained, compounding growth in useful knowledge that transformed medicine, agriculture, manufacturing, and living standards. A second one could do the same, faster. But it requires deliberate construction, and the existing incentive structures that AI is reinforcing (who shares data, who hoards it, which questions get funded) will only harden with time.”

Email’s Next Act: How NeoMails and NeoNet Change Everything (Part 4)

Who Pays Whom — The Flow of Money

Any system that promises free sending invites scepticism. If NeoMails are ZeroCPM for brands, who absorbs the cost? The answer is that the system is not free in the absolute sense — it is self-funding in the economic sense. Atrium sends NeoMails without charging brands a per-message fee. At scale — tens of millions of sends per day across dozens of brands — the cost base is real and needs recovery. It recovers from two events, both of which occur after attention has been demonstrated rather than before it.

The first is the ActionAd — the in-email action unit embedded in every NeoMail. Two variants exist. The One-Tap Subscribe ActionAd subscribes Customer X to another brand’s NeoMails with a single tap, no form, email pre-filled. The form-fill ActionAd asks the recipient to complete a short lead-generation form within the email — contact details, a preference, a qualification question. The advertiser pays a CPL fee on the form-fill that is split between Atrium and the publishing brand. Both variants fund Atrium’s send costs. When ActionAd revenue exceeds send costs, the effective CPM drops below zero — the email programme generates net income for everyone.

The second monetisation event is the transfer fee. Here, a crucial distinction applies. Reactivation of Brand A’s own dormant customers is free — no transfer fee. Atrium reactivates them and recovers its cost from ActionAd revenue during the NeoMails period. The transfer fee of Rs 20 applies only when Brand A acquires a genuinely new subscriber or reactivates an existing one through NeoNet — a customer who came from Brand B’s active base. That subscriber was created by the network, not by Brand A’s pre-existing relationship. The Rs 20 pays for that creation.

The sequencing is what makes the commercial decision straightforward. Brand B does not pay upfront for a speculative acquisition. It receives free NeoMails, earns ActionAd revenue, and observes engagement — open rates, Magnet interactions, repeat opens. Only when Brand B decides it wants to send its own promotional emails to these subscribers does it pay the transfer fee. It pays at the highest-intent moment, with evidence already in hand, for an ID that costs Rs 100+ on Meta. The decision is a confirmation, not a gamble.

The elegance of this structure is that incentives align throughout. Atrium wants NeoMails to remain engaging because only engaged audiences create transfer and ActionAd opportunities. Publishing brands want high-quality NeoMails because attention drives both recovery and monetisation. Advertising brands want inbox-native units that reduce friction. Nobody is forced into a fixed-fee structure before results appear. The system funds itself from demonstrated attention and explicit action — not from a promise of future performance.

Thinks 1932

WSJ: “The number of people we consider close friends changes over time, peaking in our teens and early 20s and shrinking as we get busier with kids, work and aging parents. With less free time, we tend to become more selective about who we share it with, focusing on the most meaningful connections. Many of us lose friends over time. People drift away, physically and emotionally. Jeffrey Hall, professor of communications studies at the University of Kansas, doesn’t have a magic friend number, but says there are downsides to extremes. Having no friends can make a person terribly lonely. Having only one friend that you depend on for everything can leave a person floundering if something happens to that person. On the other hand, “too many to keep track of and care for thins out your time for everyone,” he says…On average, Americans have between three and five close friends.”

Bloomberg: “It is tempting to believe that AI is the ultimate revolution because we are in the middle of it. But every technology that ever crossed a hidden threshold felt unique to the people living through it. The S-curve for AI will eventually flatten, because all S-curves do. And when it does, the next revolution will not be more AI. It will be something else, something currently sitting on the flat bottom of its own S- curve, where adoption looks negligible and the technology looks like a niche curiosity. Its builders will be looking at moderate projections and assuming that they understand their market. They won’t. The demand will be latent below a threshold that, when crossed, will make their forecasts look like a rounding error. They will not see it coming. The people building the next revolution never do.”

WSJ: “Quantum computing Is today’s Manhattan Project… The field of quantum computing makes possible cracking encryption, creating innovative technologies, and discovering new drugs. Classical computers process information as ones or zeros in bits. A quantum computer uses qubits—shorthand for quantum bits—to harness the behavior of subatomic particles, which can exist in multiple states at once. That lets it explore vast numbers of possibilities simultaneously, a capability that could accelerate artificial intelligence development.”

Mint: “The business of media and advertising services—buying and planning ad inventory, creating ads, building campaigns, and other projects for a brand’s sales and marketing—has been upended over the last decade. Advertising is dominated by digital channels, which are multiplying every few days. Consumer attention is ever-fragmented, spread between hundreds of forms of media and distribution channels. Finally, the work that a traditional advertising agency did is slowly getting commoditized or co-opted by newer rivals, including information technology (IT) services and consulting rivals such as Accenture Song, Capgemini Invent, Deloitte Digital and Infosys’ Aster.”