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Investor rejection can be the best business lesson. We thought we were a product startup, but the fund opened our eyes: we are a tech-enabled agency. In this article, we honestly break down our pivot case: how to escape the "hybrid model" trap and legally and operationally separate the service business from the SaaS product. Learn why trying to sit on two chairs lowers company valuation and how to turn criticism into a strategy for exponential growth.

The article examines an approach to building an autonomous recruitment system capable of continuous self-learning without human annotation. An architecture is proposed where various ranking algorithms (Vector Search based on fine-tuned embeddings, MLP, Batch Neural Networks) compete to maximize quality metrics. A Large Language Model (LLM) is used as the "Ground Truth" benchmark and generator of training pairs, evaluating the semantic fit of "specialist-vacancy" pairs. The results of a comparative analysis of the correlation between algorithm predictions and LLM evaluations are presented, demonstrating the superiority of fine-tuned embeddings over complex neural network classifiers in limited sample conditions.

Comparing protocols and infrastructure for AI agents.

The answer is simple: to move from passive content generation to active task execution

How sprint planning works at Iconicompany without strict control: the QUEST and STOP frameworks help the team identify bottlenecks, work autonomously, and grow.

How can an IT specialist gain new experience without courses and training? Use work tasks! Choose a priority growth area, implement new knowledge in projects, break learning into steps, and track progress. Learn in small blocks, include learning in sprints, and share knowledge. This approach will accelerate development and increase your expertise.

Today, May 23, 2024, our company turns two years old. During this time, we have reached significant heights, launched several successful fintech projects, became finalists and winners of the IIDF accelerator, and created our own marketplace for IT specialists. We are proud of our achievements and how far we have come in such a short time.

The project aimed to automate the job matching process for candidates based on JSON resume analysis. This solution not only simplified the resume submission process but also significantly accelerated the selection of relevant vacancies, made possible by advanced AI technologies, including GPT models for data analysis.