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Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•1m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•1m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•2m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
1•birdculture•7m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•13m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•14m ago•1 comments

I replaced the front page with AI slop and honestly it's an improvement

https://slop-news.pages.dev/slop-news
1•keepamovin•19m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•21m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•27m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•30m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•31m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•34m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•35m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•37m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•40m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
3•myk-e•42m ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•43m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
4•1vuio0pswjnm7•45m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•47m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•49m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•52m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•56m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•58m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments
Open in hackernews

Wall Street braced for a private credit meltdown. The risk of one is rising

https://www.cnbc.com/2026/01/23/wall-street-private-credit-risk-rising.html
48•zerosizedweasle•1w ago

Comments

zerosizedweasle•1w ago
Private-Credit Investors Are Cashing Out in Droves

Redemptions by individual investors in funds soared at end of 2025 after performance declined, reviving questions about suitability

https://www.wsj.com/finance/investing/private-credit-investo...

notherhack•1w ago
https://archive.is/lDnax
e40•1w ago
After every crisis or crash, the financial engineers always seem to find a new way to put us all at risk.
goalieca•1w ago
Well, it always seems a race to the bottom. Remember when Google was good until SEO got involved? I imagine a similar arms race will happen with LLMs. And with sports, every new rule ends up being abused. Last time I attended a basketball game, the last quarter was basically just constantly whistles from the ref.
amanaplanacanal•1w ago
More likely google was good until they realized they made more money showing you garbage, as long as it was filled with google ads.

I don't for a minute believe that the SEO folks outsmarted Google's engineers.

seanhunter•1w ago
This isn’t the financial engineers. This is just greedy lenders preying on consumers by offering them loans they really can’t afford, and people constantly bombarded by marketing messages telling them to spend beyond their means and finance it with credit. The financial engineering here is basically zero.
throwawayqqq11•1w ago
... except locking these financially illiterate victims into bad conditions.
seanhunter•1w ago
That’s not financial engineering though. That’s predatory lending.
direwolf20•1w ago
What separates predatory lending from being a form of financial engineering?
seanhunter•1w ago
They simply are completely different things.

Financial engineering refers to the creation of complex financial products (usually derivatives) using techniques from financial mathematics[1].

Predatory lending is just lending to people who can’t afford to borrow. No engineering of any kind involved.

[1] https://corporatefinanceinstitute.com/resources/financial-mo...

graemep•1w ago
Financial engineering can enable predatory lending by repacking low quality debt into complex securities that are easier to sell.

It happened with sub-prime lending that ended with the 1008 crash. I do not know whether it is a significant factor with private credit now.

masfuerte•1w ago
If there's no financial engineering, who cares if some sketchy lenders go bust?
seanhunter•1w ago
Probably most people outside the Wall St bubble don’t care very much. However if some of these financial institutions take big hits that could cause ripples in the broader “real” economy that might have a bigger impact. Given the current backdrop of inflation and uncertainty due to tariffs etc this could be bad but it’s hard to say how bad.

Although people have tried to make the financial system more resilient since the 2008 crisis, it’s really impossible to say how well those measures will hold up until they are really tested, which isn’t a very comforting thought. It’s very unlikely (in my opinion) that things melt down in exactly the same way as last time, but there’s nothing to say they won’t find a new and exciting (slightly) different way to melt down. Financial engineering isn’t the only thing that can cause a financial crisis.

danaris•1w ago
I mean, we've been making it really easy on them.

It's not like the government has been carefully introducing new, strict regulations on the things they were doing that got us into the crash once we've recovered from it. We just...let things stay as they are. Because half of Congress is white-knuckle gripping the steering wheel trying doggedly to keep us pointed toward the cliff, and the other half is dithering about wondering if it's too rude and partisan to gently take the wheel and try to turn it away from certain doom.

wolvoleo•1w ago
It's not even a new way. They never fixed the old one that crashed the world in 2007.
seanhunter•1w ago

   > In the November collapse of home improvement firm Renovo, for instance, BlackRock and other private lenders deemed its debt to be worth 100 cents on the dollar until shortly before marking it down to zero.
This is “jump to default” risk and it’s quite hard to estimate even for people who are in these markets and have all the information. For people who are unfamiliar with debt markets, the situation is not as suprising as it sounds. Imagine I have a company that makes auto loans. Typically these will be financed by me holding an “equity tranche” which is the riskiest piece of the loan pool and then selling off the rest so I have capital to make more loans.

The piece that I sell off is 100% money good until my equity tranche is wiped out, so prior to that point there is little to suggest it’s not worth face value (100). However there is a real problem with that, which is observability. We don’t get to see the creditworthiness of a loan on a tick by tick basis like we see the price of a stock. We see John Does 1-100 were all current on their car loan up to December, and then nothing until the next month when the next payment is due. This means they can jump straight from being current to being totally delinquent in one or two data points. This makes it very hard to accurately estimate default correlation. Like say your loan portfolio is in a particular metro area. You could easily have 50 of those John Does working in the same industry and their loans live or die together. If one is current they’re all current but if one defaults (because a local factory has shut down or something) all of them suddenly default together. The holders of the debt don’t see a gradual decline and there is no data for them to estimate how the default of one loan affects the default of another. They just go to bed one day and the debt is worth 100 and the next day it’s completely wiped out.

The protection against this is supposed to be the spreads on the loans and the capital of the NBFI that issued the loans, but they seem to have been sailing pretty close to the wind. Moves to cap consumer credit rates will probably make this situation worse because responsible players will be driven out of the market (because they can’t price consumer loans in an economically sane way given the level of risk) so only unscrupulous and/or incompetent players will be left.