Find the signal in the noise

Research public content at scale

The internet produces billions of posts, articles, and discussions every day. Most of it is noise.

We crawl pages, social medias, and broadcasts, then turn thousands of posts into clear, quantitative summaries.


See your scout at a glance

Explore different views of a scout — timelines, rankings, follow graphs, and content substance.

Twitter timeline
Engagement rankings
Followings map
Content table

How it works

Input Sources

Add webpages and profiles you want to monitor.

  • Social media account
  • Blogs and articles
  • GitHub activity

Automated Crawling

Our system reads and processes content programmatically at scale.

  • Topics
  • Entities
  • Posting activity

Insight Extraction

The system transforms unstructured content into measurable data.

  • Hidden patterns across thousands of posts
  • Post metrics, following relationships
  • Content, topic, narrative, and substance distribution

Audit Logs and Data Portability

The system attempts to be transparent with its reading process.

  • Actual content created by scouted profile
  • Actual prompts we use to research
  • Actual contexts used by our agents

Use cases

Different ways people use CloudScout to turn noisy timelines into decision-ready context.

Podcast research illustration

Podcast research

Analyze a guest's tweets, blog posts, and public writing to understand topics they frequently discuss, opinions they consistently express, areas where they show deep expertise, and themes that define their work.

Independent podcast hostPodcast research

x

Faster prep

From hours of scrolling to minutes

High-signal topics

Surfaced per guest on average

Hiring & culture fit illustration

Hiring & culture fit

Analyze a candidate's public writing to understand interests and intellectual focus, long-term topics they care about, communication style, and alignment with your team's culture. Turn scattered online posts into a structured profile of a person.

Early-stage founderHiring & culture fit

x

Better signal

Richer context than a resume alone

%

Fewer misses

Candidates filtered before first call

Scaled reading illustration

Scaled reading

Some people publish thousands of posts across multiple platforms. Instead of reading everything manually, the system extracts recurring themes, knowledge areas, key ideas, and topic clusters. Understand a person's body of work in minutes instead of days.

Research collectiveScaled reading & network intelligence

s

Posts condensed

Across platforms and formats

Shared source of truth

For decisions and outreach


What people are saying about CloudScout

We are not making things up.


Pricing

Simple plans for different depths of research

Start small, then scale up as you begin to scout more people, projects, and networks.

Starter

Explore a few curated profiles.

$6/ month

Pro

Designed for deeper analysis.

$49/ month

Enterprise

For large-scale information streams.

Custom pricing

Contact sales
Features
Credits per month

500

5,000

Unlimited

Research any public handle
Included
Included
Included
Prompt customization
Included
Included
Included
Customer support
Included
Included
Included
Large-scale crawling
Not included
Not included
Included
Custom integrations
Not included
Not included
Included
Dedicated infrastructure
Not included
Not included
Included
Priority support
Not included
Not included
Included

Frequently Asked Questions

CloudScout is built primarily for people who live on Twitter/X and want a more focused way of viewing their following's posts. The best users are founders, podcasters, journalists, and investors who need fast, high-signal context on people.


Stop Reading Everything

The internet is producing more content than any human can process.

Let the system first crawl, analyze, and extract the signals for you. Then, you have the option to decide where to start.

Start turning information overload into actionable insight.