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Building Quickly in Public: Week 1
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Building Quickly in Public: Week 1

We're building an AI reply tool and sharing everything. Here's what we learned in week one about voice analysis and Chrome extensions.

Q

Quickly Team

@quickly
December 20, 20243 min read

We decided to build Quickly completely in public. Every win, every failure, every pivot. Here's week one.

The Problem We're Solving

Twitter engagement takes time. Good replies take thought. Most people either:

  • Spend hours crafting replies (not scalable)
  • Use generic AI (sounds robotic)
  • Give up on engagement entirely
  • We wanted a middle ground: AI that sounds like *you*, generated in one click.

    Week 1: Voice Analysis

    The core challenge is capturing someone's "voice." We started by analyzing:

  • Word frequency and vocabulary
  • Sentence structure patterns
  • Punctuation and formatting preferences
  • Emoji usage (or lack thereof)
  • Topics they engage with
  • The breakthrough came when we stopped trying to categorize voices ("casual", "professional") and instead captured the actual patterns. Your voice isn't a category—it's a fingerprint.

    Week 1: Chrome Extension

    Building a Chrome extension for X.com is... interesting. The DOM changes constantly, class names are obfuscated, and you're fighting against a site that doesn't want you there.

    Key learnings:

  • MutationObserver is your friend
  • Don't trust class names—use data attributes and structure
  • Inject buttons on scroll, not just page load
  • Rate limiting is real—batch your API calls
  • What's Next

    Week 2 focus:

  • Persona system (same voice, different energy)
  • Typing simulation (looks more human)
  • Usage analytics
  • Follow along at @quickly. We'll share the code, the metrics, and the mistakes.

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