只有在2026年才能实现的AI创意
1 分•作者: suhaspatil101•7 天前
我启动这个项目的初衷是，我注意到围绕 AI 创业想法的大部分讨论都集中在技术上的炫酷，而不是经济上的可行性。<p>但当你观察那些默默成长的 AI SaaS 公司时，会发现一个不同的模式。<p>它们自动化了人们已经抱怨的无聊、重复性工作，比如审核、运营、支持、报告等任务，这些任务以前由于成本过高或不够稳定，无法完全用软件替代。<p>AI 改变了这种局面。它使某些想法变得可行，不是因为它们是新的，而是因为成本和可靠性最终变得合理。<p>在深入研究论坛、创业者社区和公开讨论后，我开始收集这些反复出现的痛点。<p>随着时间的推移，这变成了 startupideasdb:com（谷歌一下），一个基于真实痛点而不是趋势周期来呈现 AI 创业想法的平台。<p>在这里分享是为了向社区学习。
你认为哪些“显而易见”的问题会悄然发展成一个大型 AI 业务？
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I started this project after noticing that most discussions around AI startup ideas focus on what’s technically impressive, not what’s economically viable.<p>But when you look at AI SaaS companies that quietly grow, a different pattern shows up.<p>They automate boring, repetitive work people already complain about reviews, ops, support, reporting tasks that were previously too expensive or fragile to fully replace with software.<p>AI changes that equation. It makes certain ideas viable not because they’re new, but because the cost and reliability finally make sense.<p>While digging through forums, founder communities, and public discussions, I began collecting these recurring pain points.<p>Over time, that became startupideasdb:com (google it) a way to surface AI startup ideas grounded in real frustration rather than trend cycles.<p>Sharing this here to learn from the community.
What “obvious” problem do you think will quietly turn into a big AI business?