AMAYA · materials for investors
AMAYA is a working web beta that computes your day from the real sky over your town. Its first paid INNER orders are verified; repeat payment and cohort economics remain to be measured.
Fifteen minutes, on a phone, with a founder.
Every morning a person opens AMAYA and sees their own day: a wave of the day, five forces, hours to act and hours to wait, with minutes. The calculation is ours, tested against reference values from NASA JPL Horizons. A language model only explains numbers that are already finished.
02 · The problem
People already open an app every day. The open question is what it gives back.
A person has a real decision on the calendar: sign a paper, have a hard talk, ask for a raise, or rest. Personalized daily readings already exist. The person still needs to connect this particular choice to an hour and, later, to their own record.
A personal timing answer needs a clear basis. When calculation and explanation are blended, a user cannot tell which parts are computed and which are interpretation.
So we built AMAYA around one narrow question: which hours of my day fit this action?
Scroll to section 3.
03 · The product
What you see on the phone, and what you do with it.
Morning. The person opens Today: the day as a wave, five forces, advice in plain words, and a schedule of hours to act and hours to wait, each with minutes. This layer is free forever.
Ask the Sky. The person types a real question, for example whether to sign today. The answer comes with a time to take the step, and never a promise of how things end.
Evening. The person marks whether the day fit. Over weeks they see their own hit rate, counted from their word alone. That closes the loop: a morning read, an action, an evening check.
Journal. With the person's consent, a language model reads the journal entries so that answers are more precise. The text goes to our model provider (Anthropic), and the model does not quote it. One switch turns the reading off.
Real app screens captured on 8 October 2026 with a demo profile. No private user entries are shown.
We open the app on a phone and show nothing we cannot open on the spot.
see a result
These two examples come from the app. Look at the markers, read the conclusion, then open the complete card to see what informed it.
For comparing directions when considering a trip or a move.
For looking at a demanding situation and your margin of strength.
These are saved calculations using demonstration data, not personal readings for you. The date, markers and conclusions belong to these examples. Each QR code opens the AMAYA tool, not the saved result.
04 · Historical baseline
Historical database and code snapshot dated 25 Sep 2026. Current paid INNER orders are verified; recurring payment and cohort metrics remain unverified.
Historical snapshot, 25 Sep 2026. The database then showed 32 accounts and 0 paid orders out of 45: 43 waited for payment and 2 were declined. The 45 attempts came from 11 people between 12 Jun and 18 Sep 2026, including the team and first circle; none succeeded. Seven people tried more than once, and one tried twelve times. These figures describe that date only. The first paid INNER orders have since been verified.
Historical activity, 25 Sep 2026. In the prior 7 days, 3 signed-in people produced events; 9 questions to the sky had been sent across all time. Of guests' first touches, 95% came from machines (336 of 352, measured 23 Sep 2026). These figures are not a current activity or acquisition series.
Historical measurement note. The daily snapshot then showed 1 paying user while orders showed 0 because it counted an entitlement, not a payment. Current paid-order status is based on verified INNER orders.
Calculation test, last run 25 Sep 2026. The engine passed 19 checks against NASA JPL Horizons reference values: 16 comparisons on eight dates and 3 sidereal-offset checks; Moon within 0.011° and Sun within 0.009°, exit code 0. This is a dated test sample.
We recount the database on the day of the call.
05 · How we make money
Prices are decided. Everything about margin is still a model.
The free layer earns the habit. INNER costs $29 a month, or 79 for 3 months, 149 for 6 months, 249 for a year, in USD, with a 3-day trial; the no-card path still needs confirmation. ACADEMY costs $108 a month, or 297 for 3 months, 540 for 6 months, 972 for a year, in USD, with no trial. Deeper actions cost PRANA, internal credits people earn by practice or buy, and they never convert back to money.
Our model uses $26 a month per paying user. It is a planning decision by Kalanath, not an observed average from the first paid orders.
Heralds earn 20% of an invited person's payments plus 5% from the second level, for 12 months from that person's first payment, with a combined limit of 25% across both levels. Earnings sit on an internal balance (AMAYACOIN), and withdrawal opens from 250 USD after 30 days.
Dated model, 25 Sep 2026. At milestone 1, the model put AI cost at $10,243 a month in the base case, or 98% of modeled MRR, with 39% in the low case and 336% in the high case. These are model outputs, not measured current margin. Current cost and margin require usage-cohort measurement.
One page: prices, the cost model, what we measure.
06 · Market hypothesis
Repeat use and distribution still need evidence.
AMAYA is testing whether a day-by-hour view, personal questions and a Journal give people a useful reason to return. Return visits and channel contribution remain to be measured.
The contribution of each channel and the size of the reachable audience still need evidence. We will use measured cohorts to guide distribution.
We can walk through the current measurement priorities.
07 · Why now
A working beta and first paid INNER orders, with repeat use and economics still to measure.
Our computation is ours. The engine counts and the model only explains, so the numbers are the same for the same inputs and can be checked. Consent before the first AI question and a complaint control on every answer are already in the code.
Current verification priorities. Verify a repeat payment cycle, gather consecutive usage cohorts and measure language-model feature costs. These will provide evidence on retention, acquisition cost and margin.
Fifteen minutes, on a phone, with a founder.
08 · The team
We say the weak spot first.
Two founders. Kalanath D'Aysén leads the product, the teaching and the voice. He carries and teaches a living tradition from Kashmir, and he is the author of the method and of every text in the product. Rustam Rakhmanov leads operations, legal and finance, and is general manager and legal representative of AMAYA Patagonia SpA in Chile. The software is built with parallel AI agents that Kalanath directs.
The team question comes first. The team is small. An angel is right to ask what happens if the person carrying the product is unavailable. We have two founders, but the product and the teaching rest on Kalanath, while operations, legal and finance rest on Rustam. There is no backup person for the product until real people are named, and we claim no key-person insurance.
Model dependency. Today every model call goes directly to one provider, Anthropic. Moving all calls behind a shared layer that can switch providers is a plan, and it is not built.
One page: roles, owners of each area, open roles.
09 · After the first call
Terms are shared personally after a first conversation.
Fifteen minutes, on a phone, with a founder.
10 · For you
A live beta, verified first paid orders, and clear questions for the next stage.
You are likely looking at consumer, wellness or AI-companion deals on your own, with no committee. So we built the first conversation for that angel.
A product you can hold. In fifteen minutes we open the live app on a phone, show it, and take your questions. You judge the daily habit yourself.
Current paid status. The first paid INNER orders are verified. Repeat payment, retention, acquisition cost and margin still need cohort evidence.
We book fifteen minutes and bring the phone.
11 · Objections and answers
Each answer says what we know, what we do not, and what we will show.
The first paid INNER orders are verified. A repeat payment cycle, retention, acquisition cost and margin are not yet established by cohort data. Historical baseline: on 25 Sep 2026 there were 32 accounts and 0 paid orders out of 45 attempts; that is not the current order count.
AMAYA reads time by the position of the sky and promises no outcome. It computes the Sun and Moon over a person's town with its own engine, tested against reference values from NASA JPL Horizons, and turns that into a rhythm of the day. The model only explains finished numbers. On top of the count sits an interpretation layer, a question-and-verdict format and spreads, and we mark where the count ends and the interpretation begins.
Two founders. Kalanath D'Aysén leads the product, the teaching and the voice. He carries and teaches a living tradition from Kashmir, and he is the author of the method and of every text in the product. Rustam Rakhmanov leads operations, legal and finance, and is general manager and legal representative of AMAYA Patagonia SpA in Chile. The software is built with parallel AI agents that Kalanath directs. The team is small, and the product and the teaching rest on Kalanath. There is no backup person for the product until real people are named. What is built so far is listed in section 4.
The dated 25 Sep 2026 milestone-1 model put AI cost at 98% of modeled MRR in the base case, from 39% to 336% across cases. Those are model outputs, not measured current margin. Actual cost and margin need usage-cohort data.
The web version works now. Consent before the first AI question and a complaint control on every answer are in the code, built to App Store guidelines 1.2 and 5.1.2. No store submission has been made, so we make no claim about approval.
The land and AMAYA Patagonia SpA are a separate company and a separate project. The company behind the app is a Delaware C-corp, in formation, and the two companies are not linked by shares.
Bring the hardest one.
Give us one call.
Write to us, and we book fifteen minutes. We open the live product on a phone and answer your hardest questions. We share terms personally after the first conversation. If the product does not fit, you know why within a quarter of an hour.
The answer to your first message comes from Kalanath D'Aysén himself.
Fifteen minutes. No commitment.
AMAYA · materials for investors
This material is for discussion only. It is not an offer to sell, or a solicitation of an offer to buy, any security. Any offer is made only by separate documents and only to those to whom it may lawfully be made. Milestones and models are targets, not forecasts.