https://github.com/mementomorri/idea-analyzer
Analyze startup ideas
https://github.com/mementomorri/idea-analyzer
click githubapi googletrends openai python reddit
Last synced: 6 months ago
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Analyze startup ideas
- Host: GitHub
- URL: https://github.com/mementomorri/idea-analyzer
- Owner: mementomorri
- License: mit
- Created: 2025-05-23T21:41:24.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-05-25T16:06:03.000Z (7 months ago)
- Last Synced: 2025-06-01T19:18:43.962Z (7 months ago)
- Topics: click, githubapi, googletrends, openai, python, reddit
- Language: Python
- Homepage:
- Size: 44.9 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 💡 Idea Analyzer
Analyze startup ideas using search trends, Reddit discussions, GitHub activity, and AI insights. This was made over a couple of hours on a weekend and doesn't tend to be something serious.
## 🚀 Features
- 📈 Google Trends score
- 💬 Reddit sentiment analysis
- 🧠 Market insights, MVP features (via OpenAI)
- 🛠 GitHub repo count & competitiveness
- 📋 Full JSON report with tech stack & timeline
## ⚙️ Setup
```bash
git clone https://github.com/mementomorri/idea-analyzer.git
cd idea-analyzer
uv venv && source .venv/bin/activate
uv pip install -r requirements.txt
```
Create a `.env`:
```env
OPENAI_API_KEY=your_key_here
# Optional: GITHUB_TOKEN=...
```
## 🧪 Usage
```bash
python analyzer.cli.py --idea "AI-powered tutor for kids"
```
Returns a full JSON report with all analyses. Example output:
```
$ python -m analyzer.cli -i="bitcoin predictor"
{
"idea": "=bitcoin predictor",
"trend_interest": 6.11,
"sentiment_score": 0.7,
"representative_quotes": [
"Investing in cryptocurrency can be volatile, but educating yourself is key to making informed decisions.",
"The community around cryptocurrencies often shares valuable insights and predictions for the market."
],
"market_insights": "As of my last update in October 2023, I don't have specific insights or growth statistics for a product or service specifically named \"=bitcoin p
redictor.\" However, I can provide general insights regarding the Bitcoin prediction and analytics market.\n\n### Market Insights for Bitcoin Predictors and Analytics:\
n\n1. **Background**: The cryptocurrency market, particularly Bitcoin, has gained massive traction and legitimacy over the past several years. Traders and investors inc
reasingly rely on predictive analytics to make informed decisions.\n\n2. **Market Growth**:",
"recommended_features": [
"Creating a minimum viable product (MVP) for a Bitcoin predictor app involves identifying essential features that deliver value to users while allowing for rapid de
velopment and testing. Here are three core features you might consider:",
"1. **Price Prediction Algorithm**:",
"Integrate a basic yet effective algorithm that analyzes historical price data, market trends, and other relevant factors (e.g., trading volume, social media sentim
ent, etc.) to provide short-term price predictions for Bitcoin. This feature can include visualizations like graphs"
],
"competitor_count": 1529,
"competitiveness_insight": "Analyzing the competitiveness of repositories for the keyword \"=bitcoin predictor\" on GitHub involves considering several factors such a
s the number of repositories, the quality and activity of those repositories, user engagement, and broader market trends in the cryptocurrency and prediction markets.\n
\n### 1. Quantity of Repositories\n- **1529 Repositories**: A high number of repositories indicates significant interest or potential demand for Bitcoin prediction tool
s. This suggests a crowded niche, which means standing out may be challenging.\n\n### 2.",
"suggested_tech_stack": [
"To develop an app like a Bitcoin predictor, you'll need a stack that supports data collection, analysis, and user interaction. Here\u2019s a list of suitable techn
ologies across different layers of the application:",
"### Frontend",
"1. **React.js** - A popular JavaScript library for building user interfaces, perfect for single-page applications.",
"2. **Vue.js** - An alternative to React that is also great for building interactive UIs with a simpler learning curve.",
"3. **Angular** - A robust framework for creating dynamic web applications with a rich set of features.",
"4. **D3.js** - For data visualization, particularly useful for visualizing historical Bitcoin price trends and prediction results.",
"5. **Tailwind CSS / Bootstrap** - CSS frameworks for"
],
"implementation_timeline": {
"### Week 1": "Research & Requirement Analysis",
"### Week 2": "Data Collection & Setup",
"### Week 3": "Model Development"
}
}
```
## 🧠 Local LLM Option
Swap OpenAI API with local models (e.g. via `llama-cpp-python`, `transformers`, or `ollama`).
## 📦 Tech
- `click`, `requests`, `beautifulsoup4`
- `openai` or alternative
- `pytrends`, GitHub API
- Optional: local LLMs
## ⚠️ Notes
- Reddit scraping may break (no API).
- OpenAI usage may incur costs — local fallback suggested.
- GitHub rate-limits: set GITHUB_TOKEN in .env for higher quota
## 📄 License
MIT – use freely, credit appreciated.