DataFlow,Turn raw data into high-quality LLM training datasets
LLM-based cleaning operators beat regex pipelines for messy text data.
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Yet another LLM data prep tool competing with Label Studio and Scale AI.
ML engineers, data scientists building custom LLMs
Label Studio · Scale AI · Snorkel
LLM-based cleaning operators beat regex pipelines for messy text data.
Tauri GUI wrapper around mlx-lm—useful for Mac users, but local fine-tuning UIs already exist.
Conversation roleplay is useful, but therapy chatbots and coaches already exist.
1400-line clean-room NTFS repair spec when ntfsfix can't handle real corruption.
Opinionated Clean Architecture template, but dozens of Laravel boilerplates already exist.
Nice, focused product: site-specific extraction rules (CSS selectors/metadata overrides), edge-first delivery (<500ms p99) and SDKs for Node/Python make it quick to drop into an LLM pipeline and claim 40–60% token savings. That said, HTML→Markdown is a crowded niche (Pandoc, Jina, Firecrawl and dozens of scrapers already exist), so Klovr needs clearer differentiation — e.g. demonstrable extraction accuracy, enterprise-grade rule sharing, or unique model-aware trimming — to move beyond 'handy utility'.