InsideOrg Is Trending on Product Hunt — Build Your Own AI Org Chart with Employee Avatars (NexaAPI Tutorial)

#ai #hrtech #javascript #python

InsideOrg Is Trending — Build AI-Powered Org Visuals with NexaAPI

InsideOrg just hit the Product Hunt front page and the HR tech community is excited. It's an AI-powered org visualization tool that helps companies understand their internal structure.

But here's the thing every org chart tool struggles with: employee photos. New hires don't have professional headshots. Remote teams never get photos taken. Placeholder avatars look terrible.

The fix: AI-generated professional headshots at $0.003 each via NexaAPI.

Setup

pip install nexaapi
# Get key: https://rapidapi.com/user/nexaquency

Generate Employee Avatars

Python

# Install: pip install nexaapi
from nexaapi import NexaAPI

client = NexaAPI(api_key='YOUR_API_KEY')

# Generate professional employee profile avatar for org chart
response = client.images.generate(
    model='flux-schnell',
    prompt='Professional corporate headshot portrait, neutral background, business attire, photorealistic, LinkedIn style profile photo',
    width=512,
    height=512
)

print(response.image_url)
# Use this image in your InsideOrg-style employee directory

JavaScript

// Install: npm install nexaapi
import NexaAPI from 'nexaapi';

const client = new NexaAPI({ apiKey: 'YOUR_API_KEY' });

// Generate AI employee profile image for org visualization tool
const response = await client.images.generate({
  model: 'flux-schnell',
  prompt: 'Professional corporate headshot portrait, neutral background, business attire, photorealistic, LinkedIn style profile photo',
  width: 512,
  height: 512
});

console.log(response.imageUrl);
// Embed this in your org chart or employee directory app

Batch Generate for a Team

from nexaapi import NexaAPI
import time

client = NexaAPI(api_key='YOUR_API_KEY')

team = [
    {'name': 'Sarah Chen', 'role': 'Engineering Manager', 'department': 'Engineering'},
    {'name': 'Marcus Johnson', 'role': 'Product Designer', 'department': 'Design'},
    {'name': 'Priya Patel', 'role': 'Data Scientist', 'department': 'Analytics'},
]

avatars = {}
for employee in team:
    response = client.images.generate(
        model='flux-schnell',
        prompt=f"Professional headshot for {employee['role']} in {employee['department']}, business attire, neutral background",
        width=512, height=512
    )
    avatars[employee['name']] = response.image_url
    time.sleep(0.1)

# Cost: $0.009 for 3 avatars (vs $0.12 with DALL-E 3)
print(f"Generated {len(avatars)} avatars for ${len(avatars) * 0.003:.3f}")