akseolabs-seo

akseolabs-seo / AK-Threads-booster

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AK體 · 數據驅動的 Threads 寫文決策系統。用你的歷史貼文、演算法與社媒心理學，協助選題、起草、發文前診斷、表現預估與復盤。Data-driven Threads writing advisor — topic selection, drafting, diagnosis, prediction & review based on your own post history.

claude-code claude-plugin content-strategy social-media threads
184
173
100% credibility
Found Apr 26, 2026 at 184 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An AI assistant plugin for Threads creators that analyzes personal post history to suggest optimal topics, generate styled drafts, perform pre-post checks, predict engagement, and incorporate review feedback for continuous improvement.

How It Works

1
📱 Discover the Threads Booster

You hear about a helpful AI companion that uses your own past posts to make smarter decisions for future Threads content.

2
🛠️ Add to Your AI Assistant

With one simple command, you bring this booster into your favorite AI chat tool where it lives as handy skills.

3
📊 Build Your Post History

You share your Threads history—either by connecting your account or uploading a simple export—and it creates a personal tracker of what worked before.

4
🎤 Capture Your Voice

Run a quick voice setup to teach it your unique style, tone, and rules, which you can tweak anytime.

5
🔍 Find Your Next Topic

Ask for topic ideas that mix your best past performers, fresh angles, and low repetition risks tailored just for you.

6
✍️ Draft and Polish

Generate a draft in your voice, get fresh angle suggestions, fact-checks, and a pre-post analysis for risks and strengths.

7
📈 Predict, Post, Review

Get performance predictions based on similar posts, publish confidently, then review results to make the system even smarter.

🚀 Steady Engaging Posts

Over time, you post more shareable content with better odds, as your history turns into a growing advantage.

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Star Growth

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AI-Generated Review

What is AK-Threads-booster?

AK-Threads-booster is a Python-based advisor for Threads creators, turning your post history into a data-driven system for smarter writing decisions. It analyzes past performance to suggest topics, draft posts in your voice, run pre-post diagnosis for algorithm risks, predict 24-hour results, and review outcomes to refine future choices. Users get a central JSON tracker plus readable Markdown summaries of history, topics, and comments—import data via Threads API, Meta exports, or browser scraping.

Why is it gaining traction?

Unlike generic github threads bots or auto-post tools, this booster personalizes advice from your own data, spotting repetition risks and freshness gaps other threads github projects ignore. The closed-loop workflow—selection, drafting, prediction, review—builds accuracy over time, with toggleable prompts and style guides that feel authentic. At 184 stars, it hooks developers tired of guesswork in threads app github experiments.

Who should use this?

Threads power users with 50+ posts who want repeatable workflows over random ideation. Marketers optimizing distribution, indie creators scaling output without staleness, or agencies tracking client performance via history-based prediction and diagnosis. Skip if you're API-less or just starting—no history means weak signals.

Verdict

Solid for Threads obsessives; install via Claude Code and run /setup to bootstrap—docs are bilingual and practical. With 1.0% credibility score and modest stars, it's early but MIT-licensed and script-ready for daily refreshes; test on your data before committing. (198 words)

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