Scavio for Validation with Reddit Density Scoring

The Problem

SERP demand signal is noisy and lags Reddit by weeks for emerging pain points. Reddit thread engagement (upvotes + comment count) across multiple framings of the same problem is the cleanest cheap demand signal.

How Scavio Helps

• Reddit-first demand signal
• Multi-framing aggregation
• Per-validation cost ~$0.02
• Quote-worthy thread surfacing
• Beats SERP-only for emerging pains

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Reddit for "score validation for AI tool that does X":

import requests

API_KEY = "your_scavio_api_key"

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

data = response.json()
for post in data["data"].get("posts", [])[:5]:
    print(f"r/{post['subreddit']} — {post['title']}")
    print(f"   by u/{post['author']}")

Built for Indie founders, side-project builders, product managers running discovery sprints

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

Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.