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Life & fun · September 23, 2023

AL

A Less Shitty OpenAI Token Counter

Built a simple OpenAI token counter that doesn't crash. It gives you: Tokens Characters Words Paragraphs Link: https://openai-tokenizer.netlify.app/ Client side only. Feedback welcome.

Does the same job

all alternatives →
  • TokenCounter2024 · ▲117

    Count tokens and estimate costs for any AI model

  • Word Counter2018 · ▲249

    A simple, beautiful word and character counter

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    A smart LLM proxy that shows where you're overpaying

  • AT
    A text format for UI wireframes – comparing token costs across 4 formatFeb 2026 · github.com · ▲5

    I've been exploring how to describe UI layouts to LLMs efficiently. The problem: When you ask an AI to generate or modify UI, how do you describe the current state? - Natural language ("header on top, form below") is ambiguous - ASCII art breaks when edited (alignment issues) - HTML is precise but verbose I ran some measurements. For a simple login form: - Natural language: 102 tokens - ASCII art: 84 tokens - HTML: 330 tokens I experimented with a grid-based text format using Excel-like cell references: grid: 4x3 A1..D1: { type: txt, value: "Login" } A2..D2: { type: input, label: "Email" }…

  • TokenCalculatorAi8d ago · tokencalculatorai.com · ▲1

    The Best AI Token Calculator for GPT, Claude & Gemini

  • AB
    A botless meeting recorder and summarizer that runs in the browserMay 2026 · wocal.app · ▲5

    I built a browser app for recording calls and turning them into transcripts/summaries without inviting a meeting bot. The current version is BYOK: you provide an OpenAI API key, stored locally in your browser. Recordings/projects stay in browser storage; selected audio/transcript text is sent to OpenAI only when you run transcription/summary. I am testing whether the wedge is real: no bot in the meeting, no SaaS workspace for recordings, summaries/exports afterward. I would appreciate feedback on the trust boundary and whether BYOK is acceptable for a first version.…

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