HeatQueue: Support Ticket Backlog Triage & Priority Heatmap

The Problem

Indie SaaS founders who handle their own support via Intercom, HelpScout, or plain email report on r/indiehackers that their backlog becomes emotionally paralyzing — they don't know whether to fix the bug three people mentioned or answer the five billing questions first, so they procrastinate on all of it. HeatQueue connects to a support inbox, clusters tickets by topic and urgency signal (words like 'cancel', 'broken', 'can't pay'), and renders a live heatmap showing which ticket clusters carry the highest churn and revenue risk right now. It turns a chaotic inbox into a prioritized 10-minute daily action list.

Target Audience

Solo SaaS founders handling their own customer support with 10–200 active tickets

Monetization Angle

$19/mo for up to 3 inboxes; free tier for one inbox with 30-day history

Recommended Tech Stack

Why Now

The wave of solo-founder SaaS businesses means more non-support-trained people managing inboxes alone, and AI-powered clustering is now cheap enough to run per-ticket at near-zero marginal cost.

MVP Scope

Gmail/Intercom OAuth connection that clusters the last 100 tickets by topic and flags any containing churn-signal keywords with a red badge, displayed in a simple ranked list.

AI Angle

LLM classifies each ticket by intent (bug, billing, feature request, churn signal) and estimates revenue impact per cluster based on the founder's stated ARPU, creating a dollar-weighted priority queue.

Primary Risk

Intercom and HelpScout are building their own AI triage features natively, which could make a standalone connector redundant within 12 months.

Validation Checklist

• Post 'How do you decide what support ticket to answer first?' on r/indiehackers and count responses describing inbox paralysis
• Build a free Google Sheets macro that does basic keyword clustering on a CSV export and share it — measure how many people ask for an automated version
• Interview 10 solo founders who use Intercom or HelpScout about their Monday morning support routine
• Check ProductHunt for existing support triage tools and read the 1-2 star reviews to find unmet needs

Who Would Pay For This

Likely buyers are engineering teams, platform leads, developer-experience teams, and technical founders. Start with Solo SaaS founders handling their own customer support with 10–200 active tickets and look for teams already spending time or money on this workflow.

First 10 Users

Find the first 10 users by searching for recent complaints around "SaaS indie hacker" in Reddit, developer communities, GitHub issues, and niche Slack or Discord groups. Offer a concierge version first: manually solve the workflow for a few users, then automate only the repeated steps.

More Developer Search Paths

Why This Idea Has Legs

• Sourced from real discussions and complaints across Reddit and social media
• Cross-checked against recurring demand signals in the IdeaGenius archive
• Difficulty rated Easy — buildable by a solo developer or small team
• Clear monetization path from day one

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