Show HN: We missed Winamp, so we built an audio player for macOS https://ift.tt/Xkq9y3J

Show HN: We missed Winamp, so we built an audio player for macOS https://ift.tt/PEnbiFN May 19, 2026 at 12:50AM

Show HN: Marlin-2B: a tiny VLM to extract structured information from videos https://ift.tt/Tet3F1V

Show HN: Marlin-2B: a tiny VLM to extract structured information from videos https://ift.tt/opiIZ0j May 18, 2026 at 11:36PM

Show HN: HypergraphZ – directed hypergraph library in Zig with Python bindings https://ift.tt/yoUPenA

Show HN: HypergraphZ – directed hypergraph library in Zig with Python bindings https://ift.tt/8sR2DgH May 18, 2026 at 12:38AM

Show HN: Mezz, a curl-able WiFi sandbox for IoT pentesting https://ift.tt/3Rc48gC

Show HN: Mezz, a curl-able WiFi sandbox for IoT pentesting https://ift.tt/sPUioYV May 15, 2026 at 08:23PM

Show HN: How to Kill the Dead Internet https://ift.tt/BKUR8sc

Show HN: How to Kill the Dead Internet Ok, so maybe "how to revive the internet" would be more accurate, but if you're reading this, I got your attention, right? Here's why I want you to read on: I built a free extension, D-slop, to disincentivize anyone from posting AI writing, and eventually images and video as well, on the internet. For writing, it checks known vocab and punctuation tells, as well as subtler tells related to cadence, and assigns it a score subject to an adjustable threshold. If the text fails, users have the option to flag offending text, hide it, or block the page entirely (with the option to see anyway). For media, it's admittedly fairly weak, as it relies on C2PA metadata which is stripped from all of the social media sites where it would be most helpful. (Anyone else have chronically online boomer parents continually gobbling up slop like it's real information?) I have a D-slop+ version in the works that should be able to handle the media itself, but it's going to have to make API calls to have real teeth, which means I can't offer it for free. If this extension validates the concept, I'm happy to build it for y'all. Yes, I vibe-coded it, but an ancillary bonus to the project accrued when it inspired me to cook dinner listening to Metallica's "Fight Fire with Fire," which in turn brought my 5 y/o running into the kitchen with every musical instrument in the house for an impromptu karaoke speed metal session. It's MIT license open-source, full brief at https://ift.tt/O1wTXg0 ; This forum is full of people smarter than me, so I'm open to suggestions. https://ift.tt/SkEzmZe May 18, 2026 at 07:05AM

Show HN: I built a screen recorder that captures console logs, requests and more https://ift.tt/HODp5d3

Show HN: I built a screen recorder that captures console logs, requests and more https://userplane.io/ May 17, 2026 at 01:04AM

Show HN: Got ghosted by tech companies so I built a tool to track ghost jobs https://ift.tt/K2oCXa3

Show HN: Got ghosted by tech companies so I built a tool to track ghost jobs Last year I was looking for a new role. I sent out applications, did the prep, waited. What came back was mostly nothing. Not rejection emails, just silence. The job listings I'd applied to stayed live for weeks. Some for months. As a software engineer, I decided to dig into it properly. I built a system to continuously track job postings across companies, logging posting dates and measuring how long roles stay open before closing or don't. After 35,000+ listings across 200+ companies, some patterns are hard to ignore. Some listings have been open for 700+ days at companies you'd recognize. Others post 90% of their open roles within a single month, a signal that's harder to fake than a press release. I published two initial insight pages based on this work: - Which companies are posting most aggressively right now - Job listings that have been open for over a year What I didn't expect is that the same signals useful for detecting ghost jobs also say something broader about a company's hiring momentum, recruiting intensity, pipeline health, where talent bottlenecks might exist. I'm not sure yet where this leads, but I'll keep expanding the dataset and publishing more insights as I go. Would genuinely love feedback on the methodology, interpretation, or obvious blind spots in the data. https://ift.tt/HmY3aF2 May 17, 2026 at 02:13AM