New Show Hacker News story: Show HN: Number Gacha, a gacha game distilled to its essence

Show HN: Number Gacha, a gacha game distilled to its essence
3 by babel16 | 0 comments on Hacker News.
Number Gacha is a half-parody, half-real gacha game where you roll, unwrap, and battle numbers. Play on Desktop for the best experience!

New Show Hacker News story: Show HN: Better.ftp – cycling app for FTP tests without subscription

Show HN: Better.ftp – cycling app for FTP tests without subscription
2 by niecore | 0 comments on Hacker News.
I built a free iOS app so cyclists can stop paying $20/mo just to retest their FTP. The ramp test itself is a 25-minute Bluetooth interaction with a known protocol. It shouldn't require rent. This app is opensource, free, no ads, no tracking nor third party integrations because I just wanted to have a fun side project and have no interest in monetization. If you are a cyclist, I would kindly ask for feedback on the app especially on the ftp test protocol instructions, trainer-model compatibility, and bug reports App store link: https://ift.tt/1sh0d2G GitHub (opensource project): https://ift.tt/2xoiIm9 Demo gif: https://betterftp.cc/promo.gif

New ask Hacker News story: Booking.com and Weaviate

Booking.com and Weaviate
2 by CShorten | 0 comments on Hacker News.
Vector search looks easy, until you hit production scale. I'm super excited to share a new episode of the Weaviate Podcast with Başak from @bookingcom on production-scale vector search, RAG, and agentic AI with @weaviate_io! The podcast begins by discussing Booking's tipping point into adopting vector search and emerging use cases. The scale of Partner-to-Guest messaging alone is insane! There are nearly 250,000 such exchanges daily , and Booking's Agent is already helping with 10s of thousands of these! Başak describes how the team navigated increasing scale and workload complexity. They ran an exhaustive evaluation of Weaviate with 100M embeddings and tests often left out of common ANN benchmarks. This includes Filtered Vector Search, Multi-Threaded Concurrency, and testing with simultaneous Reads and Writes. The podcast concludes with Başak's career journey to Booking and her thoughts on Travel Agents! YouTube: https://www.youtube.com/watch?v=O9edM9ZS_FQ Spotify: https://spotifycreators-web.app.link/e/8tc6Dyb7e3b

New Show Hacker News story: Show HN: Cheap-IM: Thinking Machines' demo on a CPU laptop

Show HN: Cheap-IM: Thinking Machines' demo on a CPU laptop
3 by mrkn1 | 0 comments on Hacker News.


New Show Hacker News story: Show HN: Mezz, a curl-able WiFi sandbox for IoT pentesting

Show HN: Mezz, a curl-able WiFi sandbox for IoT pentesting
3 by ABGEO | 0 comments on Hacker News.


New Show Hacker News story: Show HN: How to Kill the Dead Internet

Show HN: How to Kill the Dead Internet
2 by bigger_fish | 0 comments on Hacker News.
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/94neHt2 ; This forum is full of people smarter than me, so I'm open to suggestions.

New ask Hacker News story: Ask HN: What LLM models are you using and why?

Ask HN: What LLM models are you using and why?
2 by rubyn00bie | 1 comments on Hacker News.
Hello, HN! I'm wondering what y'all are using for your daily driver these days and why ? I've found myself using GPT-5.5 more than Opus 4.7 for work; which, has been a pretty big reversal. Previously, I was using Opus 4.6 for everything, and GPT-5.4 was only ever in the picture to provide a second opinion (with Grok a distant 3rd only when I wanted to throw some "chaos" into the mix). The reason I've personally pivoted, is I've found GPT-5.5 to be a bit more consistent, predictable, and tends to write in a way I find less tiresome (even if the code isn't quite as good as Opus 4.7). For personal projects, I've started experimenting with DeepSeek V4 and have been pretty blown away by it because of it's cost to quality and I've found the 1M token window to be incredibly helpful for long-running tasks. Though I may also have an over abundance of fear of compaction during tasks. DeepSeek isn't quite as good at one-shotting things as either GPT-5.5 or Opus-4.7, but with sufficient linter/static-analysis guardrails I've found it's really hard to complain or find faults (especially at the price). Finally, if you're also making use of reranking and/or embedding models, or anything else, to augment or perform specific tasks please share those too!