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10 days in: 119 visitors, 4 signups

Launched Sumwise 10 days ago — one-click AI summaries of articles, YouTube videos and PDFs, in 7 languages. I read in English but think in my native language; built the tool I wanted.

First 3 days converted at ~1%. The data said people left without seeing value, so I rebuilt: 3x faster summaries, a no-signup demo on the landing, and a hero about the real differentiator — summaries in your language.

Conversion's trending toward 3–5% since. Tiny numbers, not calling it yet.

Lesson so far: analytics before marketing. Everything I shipped came out of the data, not my roadmap.

sumwise.ai

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Sumwise
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    Summarizers are crowded, so differentiation usually comes from context or workflow.

    What’s the main reason users choose this over alternatives?

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      Good question. Our differentiation is the reader, not the summary: most tools assume you think in English — we assume you don’t. One click, structured summary, in the language you actually think in. Our first signups so far: India, Switzerland, Burkina Faso. Non-English-first isn’t a niche — it’s most of the internet.

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        Your Swiss signup is a researcher who reads English fine but prefers German for dense papers — and will pay $20/mo for precision. Your Indian signup is a professional who processes English fine but is 40% faster in Hindi — and will share your tool in 12 WhatsApp groups if it's free. Your Burkinabé signup is a student who struggles with English entirely — and needs French academic vocabulary, not just translation.

        The risk: you build for the Swiss researcher (high willingness to pay, narrow use case) while your landing page attracts the Indian professional (viral loop, low willingness to pay) and your product frustrates the Burkinabé student (needs completely different language support).

        Quick test: Track activation by country + language selected. My guess: one combo drives 80% of your 4 signups, and the other two are false positives who'll churn in 7 days.

        I run PreLaunch AI — we simulate buyer segments for language/region products to find which market justifies premium pricing vs. which needs freemium virality. Happy to model your India/Switzerland/Burkina Faso split if you want to know which country to double down on before you localize. No strings.

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    What stood out to me is that you treated early traffic as a way to learn where value becomes visible, not as a verdict on the product.

    It's easy to chase more visitors, but sometimes the bigger leverage comes from making the first moment of understanding happen sooner.