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Welcome to the Proof of Usefulness Hackathon spotlight, curated by HackerNoon’s editors to showcase noteworthy tech solutions to real-world problems. Whether you’re a solopreneur, part of an early-stage startup, or a developer building something that truly matters, the Proof of Usefulness Hackathon is your chance to test your
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Two traders can watch the same Bitcoin chart and take opposite trades. One buys the breakout because price is climbing. The other shorts it because price has run too far from its average. Both think they’re being disciplined. One of them is about to get run over. The difference
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The shot was simple: a character reaches out and touches a doorframe. Six seconds, one take, nothing dramatic. On my second watch I noticed her right hand had picked up a sixth finger somewhere between frame 40 and frame 90, and by the time she pulled back it had quietly
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Artificial intelligence was supposed to make work easier. Instead, we built machines that can spend ten thousand words explaining why they have not finished the job. That is not a joke; it is the actual experience of trying to use multiple AI agents for serious work. You give one agent
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How to evaluate Shopify Plus SEO partners across architecture, migration safety, content systems, Core Web Vitals, internationalization and AI search. Most Shopify Plus SEO proposals are difficult to compare because they are not selling the same thing. One firm is selling editorial production. Another is selling a new theme. Another
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I heard about a team that developed a RAG demo for internal document search. Several hundred PDFs, a handful of people testing it. The monthly cost was $340. Everyone was so excited, it was signed off by leadership and shipped to production. The bill was $61,000 per month six
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I've spent years building and auditing web applications, and one pattern keeps coming up: developers who are careful about backend security will ship a SaaS product and leave a surprising amount of sensitive logic sitting in plain sight inside the browser. I've done it myself. Most
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Every data engineer has lived through this moment. A downstream team files a ticket. Their dashboard broke overnight. Their ML model is producing nonsense. Their executive report went out with wrong numbers. You dig in. Turns out a schema changed upstream. A column was renamed. A field that used to
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Accessibility bugs are easy to treat as small frontend mistakes. A form field is missing a label. A button does not have a clear name. A modal opens, but keyboard focus stays behind it. A dropdown works perfectly with a mouse but becomes frustrating with a keyboard. An error message
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The observability tax Every team eventually asks the same question: "Why is the checkout page slow — and is it the database, the cache, or that payment API?" The usual answers come with a tax attached. SaaS APM agents (Datadog, New Relic) are excellent — and priced per host, per
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The Question A PowerShell log told me a download failed. What it couldn't tell me was whether the request ever left the host. This was during the SignetDynamics scenario — Week 3 of OffSec's Dune Phantom Gauntlet, a four-week incident response series that wrapped a while back.
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Why the AI era needs cheap, sovereign, scale-to-zero log search and why ELK and Loki can’t give it to you For years, the smartest thing you could do with old logs was to delete them. A human was only going to look at the last few hours anyway. Keeping
