SupportHQ
The AI support agent that knows your product and handles customer questions.
AI & Machine Learning·Productivity·Customer Support
About
SupportHQ is an AI-powered customer support agent trained directly on your documentation, website, and past conversations. It answers routine questions instantly on your website, in Telegram, and in Discord, operating 24/7 in your customer's language while staying grounded strictly in your approved content.
Designed for growing teams, it features seamless human handoff with full conversation context when a question requires a person. The platform includes a unified inbox, customizable chat widgets, knowledge base management, and built-in guardrails against prompt injection and hallucinations to ensure reliable interactions.
SupportHQ simplifies support operations without per-seat pricing, offering flexible agent roles for support, sales, onboarding, and internal help desks. Teams can easily deploy the agent in minutes by adding knowledge sources and connecting communication channels.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
When we do the math at the end of the year and we look at everything we tried — all the biggest fails versus all the biggest wins — what we see is that wins always compensate for fails. I don't like to brag but we did improve our LTV/CAC — we more than doubled it in two years while scaling up on volumes at the same time.
Test Culture: Wins Always Compensate for Fails — Deezer Doubled LTV/CAC While Scaling
Deezer's performance marketing team doubled their LTV/CAC ratio while simultaneously growing volume — primarily by running more tests. The key mental model: evaluate tests in aggregate across the full year, not in isolation. An individual failed test that spent $30K is not a $30K loss; it's a learning that informs a future test that may return $300K in efficiency gains. Fear of failure at the test level kills the portfolio.
Users care a lot about what their cohorts say — that's one of the better ways to understand if it's worthwhile to download. Having good store ratings is more important than just affecting your rank.
Good ratings are a conversion mechanism, not just a ranking signal
Michael targets 4.5+ stars not primarily to climb search rankings but because ratings are social proof that directly influences the download decision. He acquires apps that already have strong ratings because high ratings are a lagging indicator of real product utility — and utility drives almost every other metric: retention, referrals, organic word of mouth.
There's a play for whatever you're stuck on.
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