Still choosing what to build? Test product revenue research with Minaco

    We're looking for three new English-speaking independent developers in the US or Europe who are deciding what to build next.

    The question: does knowing which products have revenue signals, then researching one product's revenue, help you choose an idea worth pursuing?

    Try this with a real decision: browse three products in Minaco's Business Database, pick one yourself (or bring a product URL), and ask for its revenue estimate for the latest complete month. Check the data period, sources, assumptions and range. These are estimates, not verified sales or profit. Missing evidence is a useful finding too.

    Then tell us what changed in your decision. How do you do this research today, and do you already pay for anything that helps?

    We also want a candid buying decision: Starter is $20/month for 20,000 credits. After trying it, would you subscribe today? Yes, no or not yet, with the reason. Would you need it repeatedly, or only once while picking an idea?

    The trial is free, no card needed. Buying and positive feedback are optional. If you're interested, reply with your country and the kind of product you're considering. You can reach Minaco through our product page here: https://saashive.com/products/minaco

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    Comments (1)

    A concrete example from checking Minaco's traffic data: for Crisp, a third-party Similarweb-style feed returned an estimate of 1.39 million visits in September 2026, with 82.5% direct traffic and 4.2% organic search.

    That does not tell a new founder where to find customers. Direct traffic can include existing users returning to a web app. Visits are not signups, and neither number establishes revenue. Our second source had no coverage for this domain, so this is a single-source estimate.

    A more useful test: pick one competitor and ask for the latest completed month's channel mix, the source and date, what cannot be inferred, and one acquisition experiment worth trying. Then check whether that helps with a decision you actually have.

    These figures came from a data connector check, not Crisp's own analytics. Retrieved October 17, 2026.

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