Posts

Showing posts from April, 2025

New top story on Hacker News: Gumroad's Interestingly Timed "Open-Source" Play

Gumroad's Interestingly Timed "Open-Source" Play 66 by pier25 | 14 comments on Hacker News.

New top story on Hacker News: Jeff Geerling won't connect his dishwasher to your stupid cloud [video]

Jeff Geerling won't connect his dishwasher to your stupid cloud [video] 11 by nikodunk | 4 comments on Hacker News.

New top story on Hacker News: Open Source Coalition Announces 'Model-Signing' to Strengthen ML Supply Chain

Open Source Coalition Announces 'Model-Signing' to Strengthen ML Supply Chain 6 by m463 | 0 comments on Hacker News.

New top story on Hacker News: Show HN: iPhone 2005 weird "Blob Keyboard" simulator

Show HN: iPhone 2005 weird "Blob Keyboard" simulator 23 by juliendorra | 6 comments on Hacker News. Hi HN, I teach tech design history, and one of the key stories I cover is the development of the original iPhone keyboard by Ken Kocienda. Reading about it in his book "Creative Selection" is great, but I wanted my students (and now you!) to actually feel this step in the process. So, I built a web simulator of the "Blob Keyboard", Kocienda's very first attempt at a touchscreen keyboard that actually works, from September 2005: Try the Blob Keyboard: https://ift.tt/LldnWcU... - Tap for the middle letter - Swipe left or right for the side letters More on the github repo: https://ift.tt/1idqJZB The Blob Keyboard prototype emerged during a UX crisis for iPhone team (their software keyboard just didn't work at all, fingers being too big, and the Newton failure loomed over them), highlighting how innovation is rarely a straight path. It was developed o...

New top story on Hacker News: Germany's 'Deutschlandticket' helps environment – study

Germany's 'Deutschlandticket' helps environment – study 39 by rustoo | 12 comments on Hacker News.

New top story on Hacker News: The End of Sierra as We Knew It, Part 1: The Acquisition

The End of Sierra as We Knew It, Part 1: The Acquisition 44 by cybersoyuz | 6 comments on Hacker News.

New top story on Hacker News: Show HN: Hatchet v1 – a task orchestration platform built on Postgres

Show HN: Hatchet v1 – a task orchestration platform built on Postgres 16 by abelanger | 2 comments on Hacker News. Hey HN - this is Alexander from Hatchet. We’re building an open-source platform for managing background tasks, using Postgres as the underlying database. Just over a year ago, we launched Hatchet as a distributed task queue built on top of Postgres with a 100% MIT license ( https://ift.tt/ehnyGEJ ). The feedback and response we got from the HN community was overwhelming. In the first month after launching, we processed about 20k tasks on the platform — today, we’re processing over 20k tasks per minute (>1 billion per month). Scaling up this quickly was difficult — every task in Hatchet corresponds to at minimum 5 Postgres transactions and we would see bursts on Hatchet Cloud instances to over 5k tasks/second, which corresponds to roughly 25k transactions/second. As it turns out, a simple Postgres queue utilizing FOR UPDATE SKIP LOCKED doesn’t cut it at this scale. Af...

New top story on Hacker News: Bikes in the Age of Tariffs

Bikes in the Age of Tariffs 5 by bobchadwick | 0 comments on Hacker News.

New top story on Hacker News: Hacking the Call Records of Millions of Americans via the Verizon iOS app

Hacking the Call Records of Millions of Americans via the Verizon iOS app 16 by voxadam | 1 comments on Hacker News.

New top story on Hacker News: Show HN: Qwen-2.5-32B is now the best open source OCR model

Show HN: Qwen-2.5-32B is now the best open source OCR model 10 by themanmaran | 1 comments on Hacker News. Last week was big for open source LLMs. We got: - Qwen 2.5 VL (72b and 32b) - Gemma-3 (27b) - DeepSeek-v3-0324 And a couple weeks ago we got the new mistral-ocr model. We updated our OCR benchmark to include the new models. We evaluated 1,000 documents for JSON extraction accuracy. Major takeaways: - Qwen 2.5 VL (72b and 32b) are by far the most impressive. Both landed right around 75% accuracy (equivalent to GPT-4o’s performance). Qwen 72b was only 0.4% above 32b. Within the margin of error. - Both Qwen models passed mistral-ocr (72.2%), which is specifically trained for OCR. - Gemma-3 (27B) only scored 42.9%. Particularly surprising given that it's architecture is based on Gemini 2.0 which still tops the accuracy chart. The data set and benchmark runner is fully open source. You can check out the code and reproduction steps here: - https://ift.tt/I1QJAq3... - https://ift....