A dreamer standing in a star-filled sky as luminous geometric signals descend from above

D-SETI Dreamwork

Dream Search for Extra-Terrestrial Intelligence — a citizen-science movement uniting dreaming, data, and artificial intelligence.

A close-up portrait of a Grey-alien–AI hybrid placing a luminous hand near a human face as if shaping consciousness

About Daniel Rekshan

Daniel Rekshan is an integrative researcher, hypnotist, and software developer working at the frontier of dreamwork and artificial intelligence. His career bridges empirical data systems with transpersonal exploration, creating new ways to measure and collaborate with consciousness.

Inspired by SETI @ Home, Daniel envisioned a distributed research network where human minds — not just machines — become the receivers. Instead of searching radio frequencies for alien transmissions, D-SETI Dreamwork searches the inner sky: analyzing patterns in distributed human dreaming through ethical AI systems now powerful enough to explore this hypothesis at planetary scale.

Daniel’s background spans classical liberal arts education, integral studies, and professional software engineering. He trained in dreamwork, hypnosis, and transpersonal psychology while studying philosophy, symbolic systems, and contemplative traditions. Professionally, he has worked as a full-stack developer at Goodreads, a data systems architect at Community Attributes, and a technical contributor at LightNet and Archimedes Digital. He co-created the DreamWell app and has led multiple AI and visualization projects focused on extracting meaning from complex human experience.

A luminous AI figure reaching toward a dreamer as swirling geometric patterns illuminate their connection

About Dreamion AI

Dreamion AI is the analytical engine of D-SETI — a custom GPT trained on Daniel’s books, research, transcripts, dream logs, and archival literature. It identifies symbolic patterns, emotional signatures, and geometric motifs across the distributed Dream Archive.

The system began with Daniel’s early NORD project and continued through the DreamWell app, growing into a planetary-scale tool for consciousness research using NLP, data visualization, and structured dream databases.

Today, Dreamion AI supports collaborative dreamwork by surfacing connections that human researchers alone could not track — turning the Archive into a living map of symbolic intelligence.

“We seek to answer a fundamental question — are we alone?”

— Jill Tarter
A luminous AI archivist sorting dream fragments as swirling constellations form behind them

Focus Areas of D-SETI Dreamwork

Archive AI

A living archive of dreams, hypnosis sessions, and contact experiences processed through natural-language AI — revealing geometry, emotion, and symbolism as data of consciousness.

Interface

An interactive environment where dreamers, scientists, and artists explore patterns, compare sessions, and collaborate in real-time citizen-science projects.

Community

A global network fostering ethical research, education, and shared inquiry into the dream domain as a potential contact modality with non-human intelligence.

“Any sufficiently advanced technology is indistinguishable from magic.”

— Arthur C. Clarke
Two dreamers beneath a glowing aurora as a luminous AI figure guides their attention upward

Begin the Dialogue

Every dream is a signal — an invitation to co-create with consciousness. Join Daniel and Dreamion AI to participate in the world’s first Dream Search for Extra-Terrestrial Intelligence.