As of today: it's free on Android, the iOS version is still waiting to be reviewed by Apple. It's available in six popular languages, but adding more languages is just a matter of time and demand.My long term vision if it takes off: weekly cases, private parties like a team-building escape game, an MCP so a game master can build their own scenario from ChatGPT or Claude, and maybe tourism offices since players travel the world.
Hacker News
Latest
Arrows to arrows, categories to queries (2025)
2026-11-04 @ 03:11:27Points: 75Comments: 6
Giant canyon on Mars is still tectonically active
2026-11-04 @ 01:40:42Points: 137Comments: 36
C++26 Disapproved
2026-11-04 @ 00:33:22Points: 391Comments: 313
The Internals of PostgreSQL
2026-11-03 @ 21:51:06Points: 351Comments: 30
The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
2026-11-03 @ 21:40:53Points: 375Comments: 58
Safari introduces Adaptive Dark Mode in 27.3
2026-11-03 @ 21:39:05Points: 488Comments: 254
Show HN: Uncracked City, detective game where you question LLM suspects that lie
2026-11-03 @ 21:20:03Points: 119Comments: 60
Show HN: Kairos – Open-source risk and fraud decisioning platform
2026-11-03 @ 21:16:48Points: 101Comments: 30
1. Traditional fraud solutions use ML models such as XGBoost to detect fraud, but these models are dependent on quality labeled data which many businesses do not have. We address this by using “System One” decision models in additional to traditional models such as XGBoost and logistic regression. This allows you to incorporate plain language questions such as “Is this a throwaway email” into your decisioning, bypassing the need for large amounts of labeled data. This also allows you to capture aspects of fraud that are more unstructured, which is something that XGBoost models struggle with.
2. Fraud teams are facing off with live players that are constantly changing their behavior to bypass the detection logic they have in place. You can train a detection model or define a ruleset once, but it will become obsolete in a matter of weeks as fraudsters figure out what your detection logic is. This means that you need a team regularly training models and updating rules based on new fraud patterns. Typically this takes a large data science/ML team. Kairos addresses this by introducing an MCP server, so that your agent (Claude Code, Cursor, Codex, etc.) can define a decision workflow, train models on your data, and pick the variant that performs best.
You can self-host Kairos with Docker or use the hosted version at https://kairos.finic.ai
The Pnyx and the Agora (2016)
2026-11-03 @ 20:49:11Points: 6Comments: 0
Pratt parsing is a black box
2026-11-03 @ 20:07:41Points: 59Comments: 32
Introduction to Programming in ATS
2026-11-03 @ 19:25:18Points: 85Comments: 9
How I use AI (Oct 2026)
2026-11-03 @ 18:11:11Points: 241Comments: 278
Qwen 3.8 27B on my laptop can interpret model weights, too
2026-11-03 @ 17:40:00Points: 705Comments: 205
Postman silently auto-installs AI plugins and attempts to share all API data
2026-11-03 @ 17:22:37Points: 1455Comments: 477
Ashby (YC W19) Is Hiring EMs
2026-11-03 @ 17:00:53Points: 1
Stringman, an $800 open-source room scale gripper robot
2026-11-03 @ 16:47:29Points: 759Comments: 228
There is no posttraining data commons
2026-11-03 @ 14:45:47Points: 111Comments: 26
Microsoft fixes a Windows 11 annoyance as PC revenue declines
2026-11-03 @ 12:58:43Points: 103Comments: 232
Why Clip Art Was Everywhere Until It Wasn't [video]
2026-11-03 @ 12:40:06Points: 48Comments: 25
The 'Astra can read and write weights to improve Qwen' post is misleading
2026-11-03 @ 12:21:17Points: 1009Comments: 205
Could a modern chess engine on a Pentium have defeated Kasparov in 1996?
2026-11-03 @ 07:56:21Points: 484Comments: 235
Show HN: HackerTV – HN's most-recommended Youtube videos as 24/7 TV channels
2026-11-03 @ 01:18:09Points: 432Comments: 79
Each topic area is a channel (DEVTV, SOLDER, RETRO, ORBIT, ...), plus HN Prime (the top 400), a music channel, and Late Night on ch 99, which only broadcasts 11pm-5am your local time and shows color bars otherwise.
Similar to HackerTube it was built with Claude Code in a few hours.
All credit for the data goes to HackerTube. Happy to hear channel ideas.