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We launched EarthOnline on ProductHunt this week!

Hey guysđź‘‹ Bonan here, building EarthOnline.

Why
To understand an audience today you either run weeks of interviews, ask an LLM that makes up "what people think," or buy a contact list with names but zero opinions. The real voices are already public on X — just hard to query.

What it is
Describe a group in natural language→ EOL finds the real X accounts that match (not a bought list) → ask them anything → an aggregate answer where every number opens to the real posts behind it. Panels are reusable & shareable.

How it works
🗣️ Describe them — "founders who left Notion", "people who tried Claude Code and went back to Cursor"
🔎 We find the real X accounts (relevance-gated, not scraped)
💬 Ask anything → camps + % + clickable real posts

For founders doing customer discovery: know who to talk to and what they already care about — so every call lands 10× sharper.

Today it's X-only — Reddit, HN & more are next.

All feedback welcome! Whether anything is wrong or you want features that're currently unavailable, just comment below!

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EarthOnline
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    One thing I found myself thinking about is that understanding what people say and understanding what actually drives their decisions don't always move together.

    Public conversations can reveal a huge amount.

    They can also make certain explanations feel more representative than they really are.

    That's what I'd be most interested in watching as people start using it for customer discovery.

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      Yep. One thing I've learned since launching is that early users usually care more about the outcome than the product itself.

      So I've been helping dozens of users one-on-one with semi-manual user discovery and audience research, essentially bypassing the product wrapper and focusing directly on the problem.

      It's been the fastest feedback loop I've found so far.

      If you'd like, I'd be happy to help you with it as well.

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        That's actually the part I'd find most interesting.

        Not that you're helping people manually.

        That you're learning what has to happen outside the product for someone to feel they've gotten the outcome they wanted.

        I've seen products end up in very different places depending on what founders learn from that stage.