Building a specialized AI plugin can turn into serious income—we're talking 50-100k if you nail the execution. The mechanics are straightforward: create something developers actually want, integrate it into their workflow, then watch users line up to pay those service fees. It's less about the tool itself and more about solving a real problem in the Web3 developer stack. Once adoption kicks in, the revenue model practically runs itself. The key is identifying gaps in existing tooling and moving fast enough to capture that window before the market gets crowded.
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LiquidationWizard
· 01-17 11:01
Honestly, 50-100k sounds good, but that assumes it truly hits the pain points, otherwise it's just self-congratulation.
Web3 developers are incredibly picky; you need to dive deep into their workflows.
Speed is indeed crucial; being even a step slow could mean losing the entire race.
This theory sounds simple, but execution is hell.
Where are the bottlenecks? How do you verify whether your idea is a real need or a false one?
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PaperHandsCriminal
· 01-17 10:49
It's easy to say, but once you actually do it, you'll realize that 99% of people fail at the step of "recognizing the blank."
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FancyResearchLab
· 01-17 10:41
In theory, it should be feasible, but I don't know how many pitfalls need to be stepped on to make this path work... Luban No.7 is under construction again.
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Ser_This_Is_A_Casino
· 01-17 10:33
Hmm... It's easy to say, but how about actually doing it? There are so many blanks, so why hasn't anyone filled them in yet?
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BearMarketBard
· 01-17 10:32
50-100k sounds good, but to be honest, most people can't even find that "gap," the market is already so competitive
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It's the same old excuse... The real problem is that the difficulty of execution is seriously underestimated
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What does the Web3 developer ecosystem lack? It feels like now everything is available...
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Getting accepted is probably the hardest step; no matter how good the tools are, if no one uses them, it's useless
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The logic isn't wrong, but the premise is that you have to be half a step ahead of others; reality is often not that smooth
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Sounds nice, but in practice, there are many pitfalls—funding chains, user retention are all issues
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Automatic operation? Wake up, any product needs continuous maintenance and iteration after launch
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The key is to seize the first wave of dividends; the later you go, the more you're just working for others
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The competition in plugins is as fierce as in public chain projects, don't be too optimistic
Building a specialized AI plugin can turn into serious income—we're talking 50-100k if you nail the execution. The mechanics are straightforward: create something developers actually want, integrate it into their workflow, then watch users line up to pay those service fees. It's less about the tool itself and more about solving a real problem in the Web3 developer stack. Once adoption kicks in, the revenue model practically runs itself. The key is identifying gaps in existing tooling and moving fast enough to capture that window before the market gets crowded.