Radar vs SuperX: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Radar and SuperX — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Radar

Particle (Mina Labs, Inc.)

Paid

A podcast search engine and API that transcribes 130,000+ shows so people and AI agents can search, quote and monitor what was actually said.

Semantic Podcast Search: Query 130,000+ transcribed shows by topic, company or person and get back the exact passage rather than a whole-episode match.
Timestamped Clip Extraction: Radar pre-selects notable, self-contained clips with timestamps so you can listen to or read a specific moment without the full episode.
Entity Recognition and Tracking: Speaker labels plus tagged people, companies, brands, products and topics let you follow a single entity across the whole podcast corpus.
Configurable Alerts: Mention alerts arrive by email, Slack or webhook in real time or as a daily or weekly digest, filterable by guest, topic or top-podcasts-only.
Podcast Ad Search Engine: Find every episode where a given company advertises and track how that spend trends over time.
API and MCP Access: The same intelligence is exposed programmatically so AI agents — otherwise blind to audio — can read and reason over spoken content.
Podcast Analytics Layer: Listener ratings and reviews, chart rankings, audience-size estimates, sponsorship data, political bias analysis and brand suitability scoring.
Daily Index Refresh: About 20,000 new episodes are transcribed and added every day, covering all Apple Top 200 shows across 135 verticals.

Investment Research: Hedge funds pull statements executives make on podcasts that never surface in filings or text-based web crawls.
Grounding AI Agents in Audio: Developers connect the MCP or API so their agents can cite what was actually said on a podcast instead of only web text.
Brand and Reputation Monitoring: Set alerts on a company or product name and get notified whenever it is mentioned across top shows.
Competitive Ad Intelligence: Marketers audit where a competitor advertises, on which shows, and how that footprint changes over time.
Journalism and Fact-checking: Reporters locate the exact quote and timestamp behind a claim attributed to a podcast appearance.
Academic and Market Research: Researchers study how a topic or entity is discussed across a large, structured corpus of spoken media.

Freemium

AI-powered audience growth tool for X creators offering personalized content ideas, post drafting, scheduling, analytics, and monetization support.

Personalized Content Inspiration: Analyzes a creator's X profile and recent engagement signals to surface tailored post ideas, trending topics, and topic angles that are most likely to resonate with their audience.
AI Writing Assistant: Generates draft X posts and thread starters in the creator's voice, producing concise, authentic copy and suggested variations to A/B test tone and format.
Scheduled Publishing: Built-in scheduler for queuing posts and threads with recommended posting times based on historical engagement patterns to maximize reach.
Actionable Analytics Dashboard: Provides metrics and visualizations that connect post-level performance (engagement, impressions, follower lift) to content themes and posting cadence, enabling data-driven planning.
Follower Growth Recommendations: Delivers concrete growth tactics—such as which content formats to prioritize, frequency adjustments, and amplification strategies—to help increase follower acquisition.
Monetization Guidance: Identifies monetizable audience segments and recommends content and conversion funnels (e.g., subscription prompts, product posts) to help creators turn engagement into revenue.
Personalized content inspiration and topic suggestions
AI-assisted post writing to produce authentic-sounding posts
Post scheduling and queue management for X
Actionable analytics and follower insights
Monetization guidance and audience monetization features
Engagement tracking and performance reporting

Planning a month of X content: Use personalized inspiration and trend-surfacing features to build a content calendar tailored to audience interests and peak engagement windows.
Writing authentic posts at scale: Leverage the AI writing assistant to draft multiple variations of a post or thread in the creator's voice, then schedule top performers automatically.
Optimizing posting schedule: Analyze historical performance to determine optimal posting times and cadence, then apply those timings via the platform's scheduler to improve reach.
Growing a niche audience: Follow follower growth recommendations and topic-angle suggestions to target and attract highly relevant followers interested in a creator's niche.
Measuring content ROI: Use the analytics dashboard to tie follower growth and engagement metrics to specific posts or campaigns, informing future content strategy and monetization decisions.
Monetizing engagement: Identify high-engagement audience segments and apply recommended conversion tactics—such as subscription CTAs or product posts—to increase revenue from X followers.
Individual creators who want AI help drafting and scheduling posts on X
Small teams managing creator accounts to grow follower counts
Content strategists using engagement analytics to refine posting strategy
Creators seeking to identify monetization opportunities from their audience
Social media managers automating post scheduling and tracking performance