IsItNerfed?
Continuous LLM evaluation platform that tracks AI model performance over time through community sentiment and automated coding metrics.
At a Glance
- Software Developers
- AI Research Communities
- LLM Providers
AI Tools by IsItNerfed?
(1)IsItNerfed?
LLM Performance Change Tracker
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Latest News
Official Launch of IsItNerfed: Real-time LLM Performance Monitoring
Analysis: Anthropic Cache TTL Downgrade and Impact on Model Stability
Integration of TradingView Charts for Model Performance Visualization
Products & Services
A real-time sentiment tracking platform where users vote on perceived LLM quality improvements or regressions.
A continuous evaluation system that tracks the success rate of LLMs on specific coding tasks and benchmarks.
Command-line interfaces for monitoring performance metrics of Claude Code, Codex, and Gemini.
A longitudinal dataset tracking LLM performance and success rates over time.
Market Position
Differentiates from static benchmarks (like MMLU) by focusing on real-time volatility and user-perceived quality ('vibes') vs automated coding metrics.
Leadership
Founders
Anton Chugunov
Senior software engineer and active contributor to open-source (GitHub: AnCh7). Expertise in finance-related software and trading metrics (e.g., SharpeRatio).
Viktar Hushchynski
Senior Software Agile Engineer with nearly 20 years of experience. Currently at Copeland (formerly Emerson Climate Technologies). Active in the open-source community (GitHub: eng1n88r).
Executive Team
Anton Chugunov
Founder / Lead Engineer
Software engineer with focus on real-time data and LLM evaluation.
Viktar Hushchynski
Founder / Senior Engineer
20 years of engineering experience, specializing in software agility and system architecture.
Founding Story
Started after the founders observed significant volatility in LLM performance (specifically Claude Code) and identified a need for a systematic, real-time way to track model degradation ('nerfing').
Business Model
Revenue Model
Likely community-driven or seeking funding; no public subscription model revealed as of early 2026.
Pricing Tiers
Currently free for community participation and data access.
Target Markets
- Software Developers
- AI Research Communities
- LLM Providers
- Developers monitoring LLM coding performance
- AI researchers tracking model drift
- Users comparing LLM versions
- Individual developers and AI teams