Source
Hacker News: Front Page
- Type
- News outlet
- Lean
- Least biased
- Least Biased−0.6 of ±10
- Mostly Factual2.5 of 10 (lower is better)
- High
- Website
- news.ycombinator.com ↗
- Feed
- RSS ↗
- Articles stored
- 803
- Tracked since
- Aug 9, 2026
Down: MBFC factual reporting score, 0 most factual to 10 least.
Bias and credibility ratings by Media Bias/Fact Check.
Hacker News: Front Page on MBFC ↗Publishing rhythm
How many articles Hacker News: Front Page published over the last 14 days, by publication time, and at which hours of the day.
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Latest articles
Article URL: https://www.interdb.jp/pg/index.html Comments URL: https://news.ycombinator.com/item?id=50358702 Points: 66 # Comments: 2
ibobev ·
Article URL: https://arxiv.org/abs/2605.29713 Comments URL: https://news.ycombinator.com/item?id=50358582 Points: 174 # Comments: 28
ibobev ·
Article URL: https://webkit.org/blog/18541/introducing-adaptive-dark-mode/ Comments URL: https://news.ycombinator.com/item?id=50358562 Points: 232 # Comments: 148
paddingtone ·
Article URL: https://asia.nikkei.com/business/technology/artificial-intelligence/us-tech-giants-hidden-ai-debt-swells-90-to-3.2tn-in-6-months Comments URL: https://news.ycombinator.com/item?id=50358422 Points: 159 # Comments: 53
angry_impala ·
Hey HN, Ayan here from Finic. We’re launching Kairos, an open source alternative to Sift, Sardine, and other real-time fraud decisioning platforms. Kairos addresses two of the biggest problems facing traditional decisioning tools: a lack of labeled data to train on and dealing with fraudsters that are constantly changing their tactics. 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 Comments URL: https://news.ycombinator.com/item?id=50358314 Points: 38 # Comments: 4
ayanb9440 ·
Article URL: https://helgesver.re/articles/macos-vulgar-word-flags Comments URL: https://news.ycombinator.com/item?id=50357782 Points: 49 # Comments: 6
speckx ·
Article URL: https://vinipsmaker.github.io/blog/article/pratt-parsing-is-a-black-box/ Comments URL: https://news.ycombinator.com/item?id=50357457 Points: 13 # Comments: 4
ibobev ·
https://docs.flipper.net/one Comments URL: https://news.ycombinator.com/item?id=50356994 Points: 98 # Comments: 42
user_7832 ·
Article URL: https://wadetregaskis.com/macos-27-golden-gate-does-not-actually-support-corestorage-or-hfs-volumes/ Comments URL: https://news.ycombinator.com/item?id=50356944 Points: 88 # Comments: 53
colejohnson66 ·
Article URL: https://ats-lang.sourceforge.net/DOCUMENT/INT2PROGINATS/HTML/book1.html Comments URL: https://news.ycombinator.com/item?id=50356913 Points: 27 # Comments: 4
ibobev ·
Article URL: https://ben.stolovitz.com/posts/how-use-ai-oct-2026/ Comments URL: https://news.ycombinator.com/item?id=50355767 Points: 70 # Comments: 68
citelao ·
Article URL: https://www.washingtonpost.com/technology/2026/11/03/google-deepmind-staff-protest-lifetime-ban-criticizing-company/ Comments URL: https://news.ycombinator.com/item?id=50355504 Points: 24 # Comments: 2
nsagent ·
Article URL: https://posthog.com/blog/comparison-content-guide Comments URL: https://news.ycombinator.com/item?id=50355365 Points: 3 # Comments: 0
rbaudibert ·
Article URL: https://simonwillison.net/2026/Nov/3/qwen-can-interpret-model-weights/ Comments URL: https://news.ycombinator.com/item?id=50355251 Points: 41 # Comments: 4
theanonymousone ·
Article URL: https://github.com/postmanlabs/postman-app-support/issues/14370 Comments URL: https://news.ycombinator.com/item?id=50354960 Points: 213 # Comments: 58
sidgarimella ·
Article URL: https://www.ashbyhq.com/careers?ashby_jid=695b1ce6-c375-4fad-94ef-61b50a3fbd28&utm_source=hn Comments URL: https://news.ycombinator.com/item?id=50354582 Points: 0 # Comments: 0
abhikp ·
Article URL: https://neufangled.com/ Comments URL: https://news.ycombinator.com/item?id=50354358 Points: 160 # Comments: 80
nharada ·
We opened a ticket with support about Gitbook availability issues and got this in reply. We have yet to see any official customer communication or breach notification. Apologies for the formatting, did the best I could as it's a mobile paste. Update: GitBook security incident update Hey , The GitBook app, the GitBook API, and published docs are available again. A few services may still be degraded as we finish restoring everything to full performance. *What happened* GitBook has been the target of a sophisticated, highly targeted attack using AI agents. At 19:00 CET, November 2, the attacker gained unauthorized access to some of our infrastructure credentials. We detected the attack immediately and acted swiftly to block further impact. To make sure our infrastructure was fully secure, we then took the GitBook app and authenticated docs sites offline. We kept publicly published content live for as long as possible, using cached data. *What we did immediately* * Blocked the attacker and closed the vulnerabilities involved * Replaced every credential and secret across our infrastructure * Brought services back only once we were confident they were secure * Invalidated every customer’s API tokens on our platform *Your data* Our investigation shows that the attacker may have accessed the following: * Git Sync secrets. * GitBook API tokens. * Third-party API tokens used to connect external tools to GitBook. * Questions asked to GitBook Assistant by your site visitors. At this stage, we have found no evidence that any of your content in GitBook was modified. *What you need to do now* * Rotate any existing GitBook API tokens. We revoked all personal API tokens during the incident. * Rotate any third-party API tokens or secrets you use to connect other tools to GitBook. * If you have published integrations that use secrets, rotate those secrets. * If you use the GitBook MCP server, re-authenticate it. Please contact your GitBook organization’s admin to assist with this process. *What we are doing next* * Monitoring the situation in case of further attacks. * Introducing further security measures to our platform. * Writing a full post mortem that will be published soon with more detailed information about the incident. * If you have any further questions, please reach out to your account manager or our support team. You can also check status.gitbook.com for updates Thank you for your patience, and we apologize again for the disruption The GitBook team Comments URL: https://news.ycombinator.com/item?id=50354336 Points: 53 # Comments: 15
punchmesan ·
Article URL: https://arxiv.org/abs/2611.02618 Comments URL: https://news.ycombinator.com/item?id=50354250 Points: 18 # Comments: 1
1equalsequals1 ·
Article URL: https://concepts.laxmena.com/ Comments URL: https://news.ycombinator.com/item?id=50353468 Points: 29 # Comments: 3
laxmena ·