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"There must be something like the opposite of suicide "

https://post.substack.com/p/there-must-be-something-like-the
1•rbanffy•1m ago•0 comments

Ask HN: Why doesn't Netflix add a “Theater Mode” that recreates the worst parts?

1•amichail•2m ago•0 comments

Show HN: Engineering Perception with Combinatorial Memetics

1•alan_sass•8m ago•1 comments

Show HN: Steam Daily – A Wordle-like daily puzzle game for Steam fans

https://steamdaily.xyz
1•itshellboy•10m ago•0 comments

The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
1•spenvo•10m ago•0 comments

Just Started Using AmpCode

https://intelligenttools.co/blog/ampcode-multi-agent-production
1•BojanTomic•11m ago•0 comments

LLM as an Engineer vs. a Founder?

1•dm03514•12m ago•0 comments

Crosstalk inside cells helps pathogens evade drugs, study finds

https://phys.org/news/2026-01-crosstalk-cells-pathogens-evade-drugs.html
2•PaulHoule•13m ago•0 comments

Show HN: Design system generator (mood to CSS in <1 second)

https://huesly.app
1•egeuysall•13m ago•1 comments

Show HN: 26/02/26 – 5 songs in a day

https://playingwith.variousbits.net/saturday
1•dmje•14m ago•0 comments

Toroidal Logit Bias – Reduce LLM hallucinations 40% with no fine-tuning

https://github.com/Paraxiom/topological-coherence
1•slye514•16m ago•1 comments

Top AI models fail at >96% of tasks

https://www.zdnet.com/article/ai-failed-test-on-remote-freelance-jobs/
4•codexon•16m ago•2 comments

The Science of the Perfect Second (2023)

https://harpers.org/archive/2023/04/the-science-of-the-perfect-second/
1•NaOH•18m ago•0 comments

Bob Beck (OpenBSD) on why vi should stay vi (2006)

https://marc.info/?l=openbsd-misc&m=115820462402673&w=2
2•birdculture•21m ago•0 comments

Show HN: a glimpse into the future of eye tracking for multi-agent use

https://github.com/dchrty/glimpsh
1•dochrty•22m ago•0 comments

The Optima-l Situation: A deep dive into the classic humanist sans-serif

https://micahblachman.beehiiv.com/p/the-optima-l-situation
2•subdomain•22m ago•1 comments

Barn Owls Know When to Wait

https://blog.typeobject.com/posts/2026-barn-owls-know-when-to-wait/
1•fintler•22m ago•0 comments

Implementing TCP Echo Server in Rust [video]

https://www.youtube.com/watch?v=qjOBZ_Xzuio
1•sheerluck•23m ago•0 comments

LicGen – Offline License Generator (CLI and Web UI)

1•tejavvo•26m ago•0 comments

Service Degradation in West US Region

https://azure.status.microsoft/en-gb/status?gsid=5616bb85-f380-4a04-85ed-95674eec3d87&utm_source=...
2•_____k•26m ago•0 comments

The Janitor on Mars

https://www.newyorker.com/magazine/1998/10/26/the-janitor-on-mars
1•evo_9•28m ago•0 comments

Bringing Polars to .NET

https://github.com/ErrorLSC/Polars.NET
3•CurtHagenlocher•30m ago•0 comments

Adventures in Guix Packaging

https://nemin.hu/guix-packaging.html
1•todsacerdoti•31m ago•0 comments

Show HN: We had 20 Claude terminals open, so we built Orcha

1•buildingwdavid•31m ago•0 comments

Your Best Thinking Is Wasted on the Wrong Decisions

https://www.iankduncan.com/engineering/2026-02-07-your-best-thinking-is-wasted-on-the-wrong-decis...
1•iand675•31m ago•0 comments

Warcraftcn/UI – UI component library inspired by classic Warcraft III aesthetics

https://www.warcraftcn.com/
1•vyrotek•32m ago•0 comments

Trump Vodka Becomes Available for Pre-Orders

https://www.forbes.com/sites/kirkogunrinde/2025/12/01/trump-vodka-becomes-available-for-pre-order...
1•stopbulying•34m ago•0 comments

Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•36m ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•40m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•41m ago•0 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.