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Aveq

Aveq is a customer intelligence platform that transforms public discussions from Reddit, GitHub, and X into actionable product decisions. It monitors conversations, clusters feedback, and ranks bugs, feature requests, and competitor mentions, providing evidence-backed insights. Designed for product teams and SaaS founders, Aveq helps prioritize development and improve customer understanding by converting scattered chatter into clear, daily recommendations.

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Aveq is an AI-powered customer intelligence platform designed to help product teams and early-stage SaaS founders make informed decisions. It continuously monitors public discussions across key platforms like Reddit, GitHub Discussions, and X (formerly Twitter), transforming scattered conversations into structured, actionable insights.

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The platform's core functionality involves collecting public data related to a product, deduplicating mentions, removing spam, and scoring relevance. It then clusters related topics into categories such as bugs, feature requests, pain points, pricing chatter, and competitor mentions. Unlike traditional sentiment analysis or social listening tools that focus on tone or volume, Aveq goes further by ranking these insights based on evidence and recency, and generating concrete recommended actions.

Aveq provides a daily operating system for customer intelligence, delivering an AI-generated executive summary each morning. This summary highlights what has changed, what is urgent, and what actions should be taken next, all grounded in actual customer signal rather than templates. Every insight is linked back to its original source thread, ensuring transparency and preventing AI hallucinations.

Key capabilities include surfacing customer pain points, identifying critical bugs and regressions with severity scoring, tracking feature requests ranked by frequency and intent, and automatically finding positive testimonials. It also helps spot documentation gaps by identifying recurring questions and monitors competitor mentions to reveal pricing complaints, feature gaps, and switching signals. The platform maintains a written record of every sync, allowing users to track trends in volume, sentiment, and categories over time.

Aveq is built to save founders and product teams hours spent manually sifting through customer conversations, enabling them to focus on deciding and shipping rather than scrolling. The core workspace, which includes monitoring for public Reddit, GitHub Discussions, and X, is free to start, with setup taking approximately one minute.

  • CategoryReview & Feedback Analysis
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • Monitors public Reddit threads

  • Monitors public GitHub Discussions

  • Monitors public X posts

  • Clusters discussions into bugs, feature requests, and actions

  • Ranks insights by evidence and recency

  • Generates recommended actions with source evidence

  • Deduplicates and merges related mentions

  • Removes spam from discussions

  • Scores relevance of mentions

  • Provides an AI executive summary daily

  • Tracks 14-day topic trends

  • Offers per-source breakdowns of data

  • Identifies customer pain points and friction

  • Detects crashes and regressions with severity scoring

  • Automatically finds positive testimonials

  • Monitors competitor mentions

  • Maintains a written record of every sync and daily report

  1. Set up workspace: Configure your product, GitHub repo (if applicable), keywords, and competitors.

  2. Specify sources: Define the public Reddit communities, GitHub repositories, and X mentions to monitor.

  3. Receive daily insights: Access your dashboard each morning for a ranked list of bugs, feature requests, and recommended actions.

  4. Review evidence: Click through to original source threads for every insight to understand the context.

  5. Make product decisions: Use the evidence-backed recommendations to prioritize what to fix or ship next.

  6. Monitor trends: Track changes in volume, sentiment, and categories over time to spot emerging issues.

  • Prioritize Product Backlog
  • Identify Customer Pain Points
  • Monitor Competitor Landscape
  • Improve Onboarding & Docs
  • Catch Outages Early
  • Gather Testimonials
  • Understand Feature Demand
  • Daily Product Decision Briefs

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