In the modern world, a daily battle for audience attention takes place, and this attention is predominantly captured by already established figures. When a young designer, artist, musician, or small brand creator is just beginning their journey, their work often remains within small communities, and social media algorithms overlook them. To find truly interesting creators, audiences must manually scroll through feeds for hours and browse dozens of accounts, pages, and recommendations. Consequently, many potentially significant talents only gain visibility after they have already achieved recognition.

We create media that discovers and showcases individuals before they become famous. We investigate the young creative scene, find emerging artists, and tell not only about the outcomes of their work but also about their journey: their first projects, ideas, experiments, mistakes, and plans.

User-Generated Content (UGC)

Primary source: applications from aspiring creators who wish to introduce themselves and their projects. Users can independently submit their work, share creative experiments, initial achievements, and future plans. There is also an option to recommend interesting creators from their network.

Automated Search and Aggregation

Monitoring open digital platforms and social media to find new talent. This includes utilizing thematic Telegram channels, VK communities, Pinterest, Behance, Dribbble, SoundCloud, and other platforms. The search is conducted using thematic queries, hashtags, and keywords related to creative work, independent projects, and emerging artists.*Recognized as an extremist organization and banned in the Russian Federation

Partnership Sources (B2B)

Collaboration with creative spaces, art schools, universities, independent galleries, music venues, design studios, and local brands. Partners may recommend promising participants from their communities, alumni, residents, and artists whose projects deserve attention.

Media Editing

In-house search and selection of featured artists by the editorial team. Monitoring the creative landscape, attending exhibitions, festivals, and local events, personalized recommendations, and professional networking. Preparing curated selections, interviews, and stories about the creative journey, initial projects, setbacks, and future plans of the featured individuals.

Data Collection

Automatic monitoring of open digital platforms, social media, thematic communities, and specialized platforms. Sources include Telegram*, VK, Behance, Dribbble, ArtStation, SoundCloud, Bandcamp, and other resources where emerging artists publish their work and share project details.

Information Aggregation

Automated extraction of available information regarding authors, their activities, and creative projects. Utilizing open APIs, RSS feeds, and parsing tools allows us to gather links to portfolios, work descriptions, publications, project creation dates, and other publicly accessible data.

Initial Filtering

Processing the gathered information using keywords, hashtags, and thematic queries. The system filters out materials irrelevant to the media’s focus and highlights publications related to emerging designers, artists, musicians, photographers, independent brands, and other contributors to the creative community.

Data Organization

Categorizing the identified information and organizing it by area of activity. Duplicate entries are removed, information about the same author is consolidated from various sources, and a structured database of potential subjects is created.

Generating Preliminary Profiles

Automatic creation of profiles for discovered authors. Each profile includes the name or pseudonym, area of activity, a brief description, links to social media and portfolios, examples of work, and the sources where the author was found.

Activity Assessment

Tracking new publications, project appearances, and portfolio updates. This helps identify authors who are continuing to develop, experiment, and regularly present new work.

Result

A constantly updated database of potential contributors, containing structured information about the authors and their creative work. This data is submitted to the editorial team for further review and selection.

Editorial Selection

Reviewing the collected database and assessing the potential subjects for publication. Primary focus is placed on the originality of the creative approach, the author’s individuality, the quality and distinctiveness of their work, and the promise of their projects. It is important not only to evaluate achievements but also to pay attention to the author’s development process—their experiments and potential for future growth.

Information Verification

Confirmation of the accuracy of gathered information, verification of authorship for works, and clarification of biographical data and project histories. The editorial team independently reviews all submitted materials to eliminate errors, unsubstantiated claims, and instances of plagiarism.

Author Communication

Establishing contact with selected subjects through social media, email, or other communication channels. At this stage, the editorial team discusses the media concept, agrees on the format of the upcoming publication, obtains permission to use materials, and gathers information about the author’s creative journey.

Gathering Supplementary Information

Conducting interviews, obtaining author commentary, and studying archival works and early projects. The editorial team aims to learn not only about the subject’s current work but also about the beginning of their journey—the challenges they faced, what influenced the formation of their style, and what goals they have set for themselves.

Content Creation

Preparing original editorial content based on gathered information. This can include interviews, authorial features, reviews of creative projects, photo series, video materials, and themed collections. The main goal is to showcase not only the final works but also the artist’s personality—their ideas, experiments, mistakes, and the process of professional development.

Editorial Preparation

Writing and revising copy, selecting photographs and visual materials, fact-checking, developing layouts, and adapting publications for various media platforms. This stage establishes a consistent style and presentation for the materials, aligning with the project’s concept.

Profile Publication and Updates

Placement of finished materials on digital media platforms. When necessary, the editorial team supplements existing profiles with new work, achievements, and projects by the featured artists, allowing the audience to track their continued development.

Result

Materials prepared and vetted by the editorial team about emerging authors, presented in the form of complete features, interviews, and creative profiles.

The «FEED» Rule (Automated Discovery)

— The system monitors open sources daily: Behance, Dribbble, ArtStation, SoundCloud, Bandcamp, Telegram*, and VK. — Searches are performed using keywords, hashtags, and thematic categories: «beginner designer, ” „young artist, ” „independent brand, ” „debut album.“ — Priority is given to creators with a smaller following who are just beginning to develop their own projects. — When a new creator is detected, the system automatically generates a preliminary profile and forwards it for review.

Prospectivity Scoring Rule (Author Score)

— Every identified author receives a preliminary assessment based on the following criteria: originality of work, independence of projects, creative activity, and degree of public recognition. — Priority is given to authors with interesting ideas and unconventional approaches, even if their audience is currently small. — The number of subscribers is not the primary selection criterion and should not automatically lower an author’s rating. — The final score is used to sort the database but does not replace editorial judgment.

Anti-Duplicate Rule

— Before creating a new profile card, the system checks for matches based on name, username, portfolio links, and social media. — If a profile belonging to an existing author is found, the new card is not created; instead, the found information is merged into the existing one. — If the confidence level of a match is less than 85%, the record is sent for manual review.