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The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
1•gozzoo•56s ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•1m ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
1•tosh•2m ago•0 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•2m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•7m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•10m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•13m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•14m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
1•michalpleban•14m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•15m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
1•mitchbob•15m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•16m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•17m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•20m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•23m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•23m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•29m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•30m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•30m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•33m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•36m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•36m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•36m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•36m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•38m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•40m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•42m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•44m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•45m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•45m ago•1 comments
Open in hackernews

Show HN: I built a (legit) AI mortgage document analyzer that saves you money

https://oxford.loan-estimate-analysis.morfi.com/
3•matthew-morfi•6mo ago
Hi guys, ten months ago I left my investment banking, software engineering, job to build software products for mortgage originators (morfi.com). I mostly build white-label products that mortgage companies can deploy to their consumer-facing websites, or use in their back offices to improve operations.

I recently completed this AI Loan Estimate Analyzer product for a client. It uses AI to analyze a borrower's loan estimates or closing disclosures, and then uses an intelligent recommendation engine to suggest various ways you could improve your loan terms (saving you money).

Some months ago, another developer posted their version of an AI Loan Estimate Analyzer, but a lot of the comments were about privacy, security and fraud concerns. In part, it was concerning that they were collecting and analyzing consumers' loan estimates without being a licensed mortgage company.

In our case, we've partnered with reputable, licensed, mortgage companies (white-labeling our software), so borrowers can feel confident that their data isn't used in fraudulent ways. The analysis is done between the user and a licensed mortgage company, and the data is secure.

Can you guys try it out and offer feedback? If you happen to be currently a mortgage, it'll likely help you save money.

AI LE Analyzer: oxford.loan-estimate-analysis.morfi.com

In this case, I white-labeled the tool for my client "Oxford Home Lending" by using subdomains and a site configuration database, so Oxford's version of the AI LE Analyzer is styled to match their existing brand.

Oxford is a reputable mortgage lender based in Columbus, OH and they are a subsidiary of Lower.com which is an even larger digital mortgage lender that's based in Columbus, OH.

Thanks!

For context - this is the other AI LE Analyzer post: https://news.ycombinator.com/item?id=42149044