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Founder, Full-stack Engineer2026
#Python#FastAPI#PostgreSQL#Next.js#TypeScript#LLM

Archetype Code

A web app: from a name and birth date it assembles an «archetype card» — how a person makes decisions and which patterns they fall into. Five symbolic layers (numerology, astrology, psychomatrix, tarot) are synthesized into one portrait via an LLM. Free archetype + a paid report.

An experiment at the edge of symbolic systems and LLMs: can you assemble a coherent, verifiable portrait from an «esoteric» input and ship it as an engineering product rather than «magic».

Context

People get stuck in repeating patterns and look for language to describe themselves — sharper than «you're an introvert». Archetype Code takes a name and birth date and returns a mythological archetype: decision-making mechanics, strengths, and «that's not me» markers.

How it works

Under the hood is a pipeline of five layers. Each gives its own slice, and the final layer fuses them into one portrait:

  • Numerology — birth-date codes.
  • Astrology — sign, elements, planets.
  • Psychomatrix — Aleksandrov's method, 9 characteristics.
  • Tarot — tasks for the current period.
  • Narrative synthesis — the LLM assembles the scattered signals into a coherent archetype rather than dumping a list of «you have a 5».
PythonFastAPIPostgreSQLNext.jsTypeScriptLLM

The engineering frame

  • Each layer is a separate deterministic computation; the «magic» lives only in the narrative, and it's verifiable.
  • The LLM writes the portrait from a structured input rather than inventing facts from scratch — fewer hallucinations, a repeatable tone.
  • Calibration on 400 public figures with verified dates — to check, not to take on faith.

Plans

  • Free: archetype with a name and image, decision-making mechanics, «I'm in my element» and «that's not me» markers.
  • Report (390 ₽): false scenarios and development paths, financial and relationship patterns, period tasks via tarot, practices.

What I took away as an engineer

5 layers
symbolic systems in the synthesis
400
figures for calibration
1 loop
input → computations → LLM → portrait
  • Symbolic input + deterministic layers + LLM synthesis = a managed loop, not a black box.
  • The hard part isn't the math — it's the tone: the portrait must sound about the person, not about a «number of fate».
  • Verifiability (400 figures) turns «esoterica» into a product you can debug like any other service.