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I built an AI hype-vs-reality checker (17yo solo, still deciding project or product)

https://bharatlearner18-del.github.io/reality-filter/

Built Reality Filter: paste an AI launch, get a verdict (worth trying / watch / too early / hype) backed by named sources. Some launches already have a verdict added — for the rest, drop your email and I'll check it myself. I'm 17, solo, still deciding project or product.

submitted this linkon July 26, 2026
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    The "some launches already have a verdict, others you drop your email and I'll check it myself" mechanic is a smart way to bootstrap a database without pretending you have automated coverage you don't actually have yet, turns the gap into a manual-first MVP instead of hiding it.

    Since you're still deciding project vs. product, the honest test is probably whether people come back to check a second launch, not whether the first visit goes well. A "worth trying / watch / too early / hype" verdict is only valuable if people trust your source-checking over time, so I'd watch for whether the same visitors return before assuming this needs more features.

    At 17 and solo, building something with named-source backing rather than just vibes-based takes already puts this ahead of a lot of similar "AI opinion" sites. Curious what happens when your verdict disagrees with the loud consensus on a given launch, do you go with what the sources actually support, or does that create pressure to match what people expect to hear?

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    muito show a ideia vai fundo jovem hoje o mundo esta voltado para a ia

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    The AI space moves so fast that a 17-year-old building a hype-detector is the most realistic thing I've seen all week—grading massive tech launches on a public record is exactly the kind of accountability we need right now

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      Thanks! What do you think about it? I feel like out of 100%, around 70% of what we see in AI is just hype. So I thought, why not build something that cuts through the hype and shows what's actually real?