Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
started doing this as a personal exercise and got kind of obsessed. every time i find someone online describing a problem and asking why nobody's built a solution, i log it. the source, upvotes, industry, existing alternatives, and what's missing. 6 months and hundreds of entries later, clear patterns emerged that i didn't expect. **pattern 1: the word "overkill" is the strongest buying signal on the internet** when someone describes a tool as "overkill" they're telling you three things. the problem is real. they're currently paying for a solution. and they'd switch to something simpler in a heartbeat. i started specifically searching for "overkill" across reddit and review sites. the hit rate for finding buildable opportunities is insane compared to searching "i wish there was." **pattern 2: the highest pain industries aren't tech** trades, healthcare admin, property management, and local services show up constantly. these people have budget, they're underserved by software, and developers don't build for them because the niches don't sound exciting. 22 separate posts about pet medication tracking. zero good tools. 14 threads about trade contractor scheduling. everything is built for office workers. 9 threads about personal trainers managing clients through whatsapp because every fitness app serves the gym member not the trainer. **pattern 3: the best opportunities have terrible competitors, not zero competitors** zero competitors usually means zero market. nobody wants it. 3 to 5 competitors with bad reviews is the sweet spot. the market is proven because people are paying. the execution is bad because people are complaining. you just need to be less terrible. 10+ well funded competitors means you're too late for the broad play. but zoom in. there's almost always a niche they're all ignoring. **pattern 4: "i've been doing this manually for X years" is worth more than any market research report** this phrase shows up everywhere once you start looking f
Reddit6mo agoToolDev
I'm a solo dev looking for my next project. Currently interested in AI tools, developer APIs, and automation. What problems are you facing that nobody has built a good solution for yet? Or what existing tool do you wish was better/cheaper? Looking for real pain points, not "build another todo app" 😄
Reddit6mo agoToolDev
I build and maintain websites for a handful of small business clients. One of them messaged me asking if I can help with their SEO because they're not showing up high on Google. I can handle the technical stuff fine like page speed, structured data, fixing crawl errors, meta tags. But they want more than that, they want to know why their competitor outranks them, what keywords to target, whether their content is any good etc...I don't have a background in marketing or seo. I've been patching things together using 4 different tools and honestly it's taking more time than the actual dev work. Is there a decent way to handle this as a solo dev ? Or do I just tell them it's out of scope? (To be honest I really need the extra money for this seo work) **Update:** appreciate all the advice here 🙏 I’m gonna keep doing the SEO for them and treat it as a paid learning sprint for me too, it could be a solid extra income stream. I’ve been juggling ahrefs + SurferSEO + Screaming Frog + GSC and it’s too much, I’m gonna switch to SeenOS for most of the workflow and only pull out Screaming Frog when I need a deep crawl
Reddit6mo agoToolDev
Developers and teams want to use OpenClaw, a popular open source AI agent, but hosting it themselves demands significant infrastructure costs (Mac mini servers), continuous monitoring, security patching, and DevOps knowledge. Many lack these resources or expertise, forcing them to either abandon the tool or spend weeks on setup and maintenance instead of building their actual application logic.
Product Hunt6mo agoToolDev
AI developers and teams currently spend significant time setting up databases, APIs, authentication, and deployment infrastructure before their AI agents can do anything useful. They either build custom backends (slow, error-prone) or cobble together multiple services (complex, expensive to maintain). This delays getting AI agents to production and distracts from the actual AI logic that provides value.
Product Hunt7mo agoToolDev
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ProblemHunt1y agoToolDev