Forged in the span of 1 Days - Developed

Yapper

YAPPER is a privacy-first, client-side web application designed to bridge informal, colloquial Indonesian communication and high-performance LLM engineering. It transforms raw, unstructured, or slang-heavy Indonesian thoughts into dense, telegraphic English system prompts and fluent, idiomatic translations, minimizing prompt token consumption while maximizing prompt adherence and instruction fidelity across frontier models.

WebsiteLLMs
Yapper gallery 1
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The YAPPER interface presents a focused, split-pane developer workspace centered around a dual-mode toggle (Prompt Optimization vs. Natural Translation). The input panel on the left captures raw Indonesian or conversational text with live word, character, and token estimation counters alongside quick-start example pills, while the center action bar initiates transformation via hotkey (⌘↵). The output panel on the right renders the real-time streamed English result accompanied by a live token compression metric, one-click clipboard copy, and character telemetry. Anchoring the top navigation are a real-time LLM provider connectivity badge, a slide-out History Drawer (⌘H) for searching and reloading past conversions, and a Settings Modal to configure API keys, temperature parameters, and custom endpoints across providers like Groq, OpenAI, Gemini, and OpenRouter.
Built With
HTML/Javascript/CSS