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

https://slop-news.pages.dev/slop-news
1•keepamovin•4m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•6m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
1•tosh•12m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
2•oxxoxoxooo•15m ago•1 comments

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

2•InvoxoEU•16m 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•19m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•21m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•22m 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•25m 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
2•myk-e•27m ago•4 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•28m 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
3•1vuio0pswjnm7•30m 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•32m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•34m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•37m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•42m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•43m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•47m ago•1 comments

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

https://github.com/joelparkerhenderson/queueing-theory
1•jph•59m 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

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments
Open in hackernews

Show HN: Clarifytube –Turn any YouTube video into a full article

https://clarifytube.com/article/this-might-be-bigger-than-deepseek?id=xLFkqYOUN24&l=en
2•lfgtavora•6mo ago

Comments

lfgtavora•6mo ago
Hi HN! I was trying to keep up with two complex topics: investing (deep dives into the S&P 500) and the constantly changing laws around my Portuguese citizenship. I quickly realized the most up-to-date and nuanced information wasn't on news portals or Medium articles anymore—it was being discussed in long, detailed YouTube videos by lawyers and financial analysts. As someone who reads much faster than they watch, I was stuck. I needed a way to "read" these videos efficiently.

I started with a simple script for my own use, and it worked so well that I decided to turn it into a proper web app for everyone facing the same problem.

How it Works: The core idea was to make it as frictionless as possible. You can just take a YouTube URL and replace youtube.com with clarifytube.com. The server then fetches the video's transcript, parses it, and structures it into a clean, readable article.

Example: Original Video: https://www.youtube.com/watch?v=xLFkqYOUN24 Clarifytube Article: https://clarifytube.com/watch?v=xLFkqYOUN24&l=en

The "Why" (Technical Diferentiator): I tried existing AI summarizers, but I found them unreliable. They often "hallucinate" by injecting information not present in the video or oversimplify to the point of losing critical nuance. My goal was different: to create a faithful representation of the source content. Clarifytube doesn't try to interpret or summarize; it structures the full transcript into a complete article. This way, the user maintains all the original context and can decide for themselves what is important.

Tech Stack: It's built with [mention your stack, e.g., Next.js, Vercel, Python for the backend processing, and PostgreSQL]. I'm happy to answer any questions about the architecture.

This is still very much a work-in-progress, and the HN community's feedback would be invaluable. I'm here to listen and answer any questions you might have. Thanks for checking it out.

pheeney•6mo ago
Is this open source? Or would you be willing to share the prompt of how you accomplished the faithful representation of content? I’m curious what approach you took that sets it apart from the tools that you felt had failed. I didn’t watch the original video but the article looks well formatted.