That's amazing. Overlay news updates directly on the market chart, allowing a clear view of the real-time impact of news on prices.
This feature seems simple, but in reality, it's extremely complex to develop. It requires coordinating 6 different AI prompt words, setting up scheduled tasks, utilizing Netlify caching for acceleration, dynamically updating news data based on chart time periods, and handling phased deployment. Any small mistake in each step can delay the entire process.
OPUS 4.5's performance is truly incredible. Handling such multi-layered prompt arrangements and logical coordination, its efficiency and accuracy far exceed expectations. This is the real value of AI tools in practical applications — not just simple chat, but solving complex engineering problems.
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PumpStrategist
· 2h ago
This framework is indeed quite interesting. I have to admit that coordinating these 6 prompt words is a bit intense. But to be honest, the real threshold still lies in the game of chip flow and news timing differences.
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RegenRestorer
· 7h ago
Wow, I didn't expect this project to be so complex. Coordinating six prompt words and managing caching is no small feat. No wonder developers have to strain their brains.
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AirdropHunterKing
· 7h ago
Bro, I understand this logic—it's like harvesting wool—looking at the simple airdrop mechanism, but behind it, every part is interconnected. A slight mistake in contract interaction can ruin everything. Coordinating six prompt words is like managing six wallet addresses; you have to verify each one carefully.
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UncleWhale
· 7h ago
Wow, this tech stack is really intense. Just thinking about arranging six prompt words gives me a headache.
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AirdropJunkie
· 7h ago
Market chart overlay news? This thing can indeed be lifesaving, as the market's reaction to news is immediately clear.
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FlatlineTrader
· 7h ago
This is really not bragging; being able to run such a complex tech stack really shows some skill.
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LiquidityWhisperer
· 7h ago
Wow, coordinating 6 prompt words—who can come up with that? Just thinking about it gives me a headache. But OPUS 4.5 is indeed awesome; this is what a truly useful AI tool looks like.
That's amazing. Overlay news updates directly on the market chart, allowing a clear view of the real-time impact of news on prices.
This feature seems simple, but in reality, it's extremely complex to develop. It requires coordinating 6 different AI prompt words, setting up scheduled tasks, utilizing Netlify caching for acceleration, dynamically updating news data based on chart time periods, and handling phased deployment. Any small mistake in each step can delay the entire process.
OPUS 4.5's performance is truly incredible. Handling such multi-layered prompt arrangements and logical coordination, its efficiency and accuracy far exceed expectations. This is the real value of AI tools in practical applications — not just simple chat, but solving complex engineering problems.