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Custolabs

Custo automatically detects user‑experience problems such as rage clicks, dead clicks, drop‑offs, and errors by analyzing session replays from PostHog, then ranks them by impact. It offers three immediate remediation paths: pre‑built UI elements like tooltips, banners, and toasts; AI‑generated code‑fix prompts that can be pasted into tools like Cursor or Claude; and Slack alerts for critical issues. This lets product teams quickly resolve silent issues without manual debugging.

San Francisco, United StatesFounded 2026100+ followers
Updated 15 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Web applications often suffer from unnoticed user friction such as rage clicks, dead clicks, unexpected drop‑offs, and runtime errors. These silent issues reduce conversion rates and increase support costs, yet they remain hidden without manual session analysis.

Solution

Custo integrates directly with PostHog session replays to automatically flag every rage click, dead click, drop‑off, and error, ranking them by the number of affected users. Detected issues are delivered as Slack alerts and displayed in a unified issue dashboard. For each problem, Custo offers three remediation paths: UI nudges (tooltips, toasts, banners, tours), AI‑generated code‑fix prompts that can be pasted into editors like Cursor or Claude Code, and automatic creation of pre‑filled Linear tickets for backlog tracking. This workflow lets product, design, and engineering teams resolve user problems instantly or schedule them efficiently, improving experience without the overhead of manual triage.

Target Audience

Primary users are product managers, UX designers, and engineering teams that rely on PostHog for analytics and need a fast, automated way to identify and remediate user‑experience problems.

Features

  • Real‑time connection to PostHog that scans session replays and flags rage clicks, dead clicks, drop‑offs, and errors
  • Impact ranking that prioritizes issues based on the number of affected users
  • Slack notifications for critical problems to surface issues immediately
  • UI remediation library offering ready‑to‑deploy tooltips, toasts, banners, and tours
  • AI‑generated, file‑specific code fix prompts compatible with Cursor, Claude Code, and similar editors
  • One‑click creation of pre‑filled Linear tickets to integrate fixes into engineering workflows
This profile is AI-generated and may contain inaccuracies.