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Nearbyhub

https://play.google.com/store/apps/details?id=com.nearbyhub.app&hl=en_US
1•woha•32s ago•0 comments

"My Internet History"

https://shouden.us/internethistory.php
1•indigodaddy•40s ago•1 comments

Detecting model weight tampering in GPU memory (Rome attacks)

https://stealthium.io/blog/hands-off-detecting-model-weight-tampering
1•rafaeldavidtin•41s ago•0 comments

Maybe There Was an Egg Cartel After All

https://www.politico.com/news/magazine/2026/10/18/egg-prices-conspiracy-affordability-issue-01100411
1•iamnothere•57s ago•0 comments

What business wants from AI, and why we built an agentic kernel: an essay

https://loomcycle.dev/blog/beneath-the-foam
1•denn-gubsky•1m ago•0 comments

Show HN: ECG Signal Processing Starter Kit – Python, SciPy, and FastAPI

https://github.com/banisond/ecg-signal-processing-python
1•banisond•1m ago•0 comments

US banning Chinese AI DeepSeek from government agency IT systems

https://www.reuters.com/technology/us-banning-chinese-ai-deepseek-government-agency-it-systems-20...
1•tartoran•3m ago•0 comments

Cinemas have been getting away with lies. Films should begin on time

https://www.theguardian.com/commentisfree/2026/oct/17/the-hill-i-will-die-on-cinemas-have-been-ge...
1•randycupertino•4m ago•0 comments

Show HN: Villa – Spatial Fitness and Gaming, without a headset

https://villamoves.com/
2•culturengine•4m ago•0 comments

Uber wins bid to throw out UK mass lawsuit by black cab drivers

https://www.reuters.com/legal/litigation/uber-wins-bid-throw-out-uk-mass-lawsuit-by-black-cab-dri...
2•tartoran•4m ago•0 comments

How to Design Human Oversight for AI Agents with ZizkaDB

https://medium.com/@MirArshadTalpur/how-to-design-human-oversight-for-ai-agents-with-zizkadb-c5fd...
1•Arshad-Talpur•5m ago•0 comments

Yzma now over 2.6X faster at embeddings than Ollama or Docker Model Runner

https://yzma.ai/docs/reference/benchmarks/#comparing-engines
1•deadprogram•5m ago•0 comments

Campfire port in Java is faster then Rust (Reddit)

https://www.reddit.com/r/java/comments/1x9s75g/campfire_port_in_java_is_faster_then_rust_some/
1•brunoborges•5m ago•0 comments

Keeping restaurant iPads in sync without a router

https://tablelink.app/blog/ipads-in-sync-router-unplugged
1•macsrule•5m ago•0 comments

Maybe I Hate Technology

https://manualdousuario.net/en/maybe-i-hate-technology/
1•rpgbr•5m ago•0 comments

Show HN: Can you tell an AI's real 30-day memory from a fabricated one?

https://kairos-experiment.com/distinguish.html
1•gcolella•6m ago•0 comments

Making DNS_Erlang Fast: Binary Tricks for the Beam

https://blog.dnsimple.com/2026/10/making-dns-erlang-fast/
1•wondersky•6m ago•0 comments

Low-bit LLMs on CPU: what runs correctly and fast where

https://github.com/matheus-c-feitosa/lowbit-atlas
1•matheus-c-feito•7m ago•0 comments

Meta's GB{2,3}00 Cluster

https://engineering.fb.com/2026/10/19/data-center-engineering/inside-prometheus-meta-gigawatt-sca...
1•stokedmartin•8m ago•0 comments

Momentum: Luxon's API, running on Temporal

https://github.com/gesposito/momentum
1•tilt•8m ago•0 comments

A hacker broke into John Deere and SharkNinja with an army of AI agents

https://www.theverge.com/ai-artificial-intelligence/1013643/ai-agents-hack-john-deere-shark-ninja...
1•dkobia•8m ago•0 comments

Show HN: Balls of Furry – Table tennis in the browser

https://www.ballsoffurry.com/
1•goldenboychrome•8m ago•0 comments

TorchNeuron: Native PyTorch Back End for AWS Trainium

https://pytorch.org/blog/introducing-torchneuron-native-pytorch-backend-for-aws-trainium/
1•wondersky•10m ago•0 comments

The Rise and Fall of the Plasma Screen

https://www.construction-physics.com/p/the-rise-and-fall-of-the-plasma-screen
1•surprisetalk•12m ago•0 comments

The Parcel for Miss Sorrel: a fair-play whodunit you can solve from the page

https://pub-a941bfd863a24f91a60e6c4979c18a84.r2.dev/pi-sandbox-uploads/365599745596461056/2026-10...
1•quayoffice•12m ago•0 comments

CutefishOS Is Back with a Qt-Free, GTK-Free Vibe-Coded Desktop

https://itsfoss.com/news/cutefishos-vibe-coded-desktop/
2•mikece•13m ago•1 comments

Cop Fired for Letting Her ICE Agent Husband Use Her Flock Login

https://gizmodo.com/cop-fired-for-letting-her-ice-agent-husband-use-her-flock-login-2000827428
1•pavel_lishin•15m ago•1 comments

Fishfolk/bones: An easy-to-use game engine for making real games

https://github.com/fishfolk/bones/
1•janandonly•16m ago•0 comments

Evaluating an AI sales agent on 100 sites/ 15M visitors (+10% rev per visitor)

https://getjavo.com/research/sales-evaluation/
1•benataiso•17m ago•0 comments

Eval() in a straitjacket: sandboxing JavaScript under CSP

https://stringutilitybelt.com/blog/eval-in-a-straitjacket/
1•Murraylr•17m ago•0 comments
Open in hackernews

Show HN: I built a task system to handle the drudgery so I could focus on tasks

https://3anddoneapp.com/try
2•dmayle•1h ago

Comments

dmayle•1h ago
I'm a software engineer from the east coast (who has lived in Boston, NY, the bay area, UK, France), and I built a task system called 3 & Done. It's the place you trust to store everything you need to do. It accepts voice input for rapid entry, as well as text (it stores the audio locally so you can listen to jog your memory) and emails you every morning with the three most important things for you to do that day, and why, based on what you've said about the task: deadlines, urgency, sitting too long.

I've been at software engineering for about 44 years now... Grew up with it, which was unusual when I started, and I was always good about getting into the zone and doing things. The career started small, small company, then back office, the dot com startups, then smaller companies again after the bust, a non-profit, and eventually YouTube (Google at the time, but just barely) and Meta (just Facebook when I was there).

When I hit the startups, and later big tech, it was no longer enough to just be an engineer, to have drive, to be good, you had to be organized, you had to follow through, get stuff done, and that's where the task systems started. Twenty-five over the years (and yes, I've actually counted), from Moleskine notebooks with Getting Things Done, evernote (remember evernote?), bug trackers, todoist, asana, google keep, among others.

When I managed on the Facebook News Feed, I got into gantt charts (for me and my team), spreadsheets, OmniPlan... I remember apologizing to my director for being so disorganized (because I felt I was making a mess of it), and he told me that I was the most organized engineer he knew.

That was because I was doing all of the work in the background, the trimming, the sorting, the reviews, but it was just so much work. Which was why I changed from system to system. Each time it built up, and I had to spend more time looking at things I couldn't or didn't get done, when I was rushed and couldn't put time into today's review, it would pile up, and then using it was so much work that I would start taking mini-notes, just emailing myself a few things to do the next day.

That's actually the thesis of the app (but not where it started), that if I could just have a few things to do emailed to me each day, I could get it done.

This app actually started when I described my previous startup failures into a Claude web session, and it repeated back to me what I had just said. My previous failures were because I spent too much time building the stuff I needed, and not building what I was supposed to be building.

I decided that the app would email me three things to do every day (which matches best practices for attention), but that the day was always yours to decide. We won't overload you, but you can add more, if you're feeling up to it, or cut back, and we never shame and try our best not to nag (I often only finish two). If we get it wrong, you can tell us, and we'll re-rank it once a day, or you can set it manually, and if you do, we never override that choice. The web app is live, and native for both platforms is coming. In the meantime, on Android, you can use gestures to quick launch into the voice input so saving a task is only a gesture away (e.g. double-tap the back of a Pixel, double-press the power button on Motorola).

Now let's talk about the dirty parts. I used AI to help me build this. Anthropic models mostly, and the brains of the app come from Anthropic models (I like the quality, I like the privacy, absolutely no training on customer data, and the stance of the company). This app is not some one-shot wonder where I asked frontier models to build a task system and then I put it on a server to show you.

I have prompts for the various features (e.g. ranking, generating suggestions, task extractions), I have eval sets of task lists (not anyone's real tasks, but constructed from patterns in my tasks, or the tasks of testers who allowed me to fix the problems they were having), with the three I expect to come out. I store the eval outputs, and re-test whenever I add a new rule to a prompt, or whenever testing a new model version. The great thing about having this eval set is that it catches when I get it wrong. When I introspect a failed run, sometimes it's because I need to tune a prompt, but sometimes it's because I missed something in my own ranking.

I did the same thing with my infrastructure as well, so this time, instead of setting up servers, and building login systems, and managing databases, I built on Vercel (git push to serving Next.js), Neon (hosted postgres).

I started getting emails mailed to me by mid-June, but started getting usable suggestions on June 26, and I've been using it every morning since. I wanted it to be easy to get started, and easy to use, so the input handles mess (you can add multiple tasks in the same run-on sentence, and a friend who helped me test it just pasted his entire obsidian todo list in wholesale to get started).

I wanted to make sure that anyone could try it out, so I built a trial feature that uses the real in-app ranking with a list of items you provide.

If you want to try the service, there's a free 14-day trial (card required), and then it's $99/year or $9.99/month after that (plus sales tax). We warn you seven days before your card is charged and if you cancel, you keep access through the term (either the trial, or our last paid period). Online, through settings -> billing, no email, no call.

I really hope you'll try it out. If you do, please tell me if we did a good job picking out your day.

https://3anddoneapp.com/try

cjimesh•1h ago
This is super cool. But there's a very high likelihood that your past self would not have used this tool. For the simple reason that you wouldn't want company information going out to a third party.

Any plans to open source the harness/skill?

dmayle•1h ago
I get the concern. I don't think the characterization is true at all (I've used todoist, I've used asana), but I do care about privacy, and I do care about owning my data, which is why it is at least as easy to take out (if not easier), then it is to put in.

If you use it, your list goes to Anthropic to be ranked, under commercial terms that exclude training on it, and I never look at it (I've built support tools to help customers, but they won't access user data unless the user opens a support case, and then explicitly grants access for a temporary time). It isn't open source, but you can export everything at any time as plain text or JSON.

I also get the company concerns... When I was at Google, there were strict rules, and I used buganizer (among other internal systems), but even at Google there were external companies that were trusted with this kind of data once they'd been reviewed (for example, I used asana while I was at Google).