NeoPlus monitors the entire AI model ecosystem — new releases, research breakthroughs, LLM benchmarks, and repo health — so you never miss what matters.
Core Platform
Six integrated capabilities that give you a real-time operational picture of the AI landscape — from model releases to your own repo health.
Intelligence Feed
Polls HuggingFace every 6 hours across 10+ curated orgs — Google, Meta, Mistral, Qwen, DeepSeek, OpenAI, NVIDIA, and more. Tracks new models, updates, license changes, deprecations, major releases, and security advisories in a unified feed with source-specific filtering.
Research Frontier
Monitors 8 key ML research repos and 4 arXiv categories for commits, experiments, releases, and papers. Detects experiment metrics in commits — val_bpb, loss, accuracy, perplexity — and surfaces breakthroughs automatically.
Benchmarks
10 models, 8 independent benchmarks (HumanEval, SWE-bench, MMLU, MATH, GSM8K, LiveCodeBench, GPQA, AIME), category filtering, sortable columns, and open-weight toggle. Bloomberg-density data in glassmorphism UI.
Repo Health
Scans your connected GitHub repos to produce a canonical Build Map — detected models, frameworks, infrastructure, and risk flags with A–F grading. Generates ranked recommendations with implementation steps and file-level patch plans.
Model Catalog
29 models from 12 providers with full specs — parameters, context windows, pricing, capabilities, API endpoints, and trending rankings. Search, filter by category or provider, and compare models side by side.
How It Works
NeoPlus combines real-time data ingestion, automated analysis, and actionable recommendations into a single mobile-first experience.
01 — INGEST
Automated workers poll HuggingFace, GitHub research repos, and arXiv on configurable intervals. Rate-limit-aware with graceful per-org degradation and relevance filtering.
02 — ANALYZE
Raw signals are classified into event types, scored for relevance to your connected repos, and enriched with benchmark data and experiment metrics extraction.
03 — ACT
Recommendations surface as prioritized cards (P0–P3) with ordered steps and patch plans. Accept, dismiss, or apply — each with full status tracking.
Architecture
Production-grade infrastructure designed for reliability, security, and real-time data at scale. Every layer is optimized for the developers who depend on it.