Scavio for SaaS AI Stack Research

The Problem

SaaS founders choosing AI tools rely on marketing pages and listicles that don't reflect what real teams actually pay for and use in production. The gap between marketed features and production usage is significant.

How Scavio Helps

• Google surfaces tech stack blog posts and case studies
• Reddit reveals what founders actually use vs what they tried
• YouTube demos show real product usage patterns
• Filter by company size or ARR stage
• Avoids marketing-page bias in tool selection

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "CTO evaluates search APIs for their SaaS product. Google search finds 'our AI stack' blog posts from $1M+ ARR companies. Reddit r/SaaS thread shows 38 founder responses about actual paid tools. YouTube demos reveal integration complexity. Research takes 15 minutes instead of 2 hours of manual browsing.":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for SaaS founders, CTOs evaluating AI tools, product managers building AI features

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your saas ai stack research solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.