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Show HN: Largest Public Dataset of Electronic Circuit Files

https://huggingface.co/datasets/bshada/open-schematics
1•_bshada•4m ago•0 comments

Parallelizing ClickHouse aggregation merge for fixed hash map

https://blog.incfly.org/parallelize-clickhouse-aggregation-merge-for-fixed-hash-map/
2•zX41ZdbW•6m ago•0 comments

Preferred Sources in [Google] Search Expands Worldwide in English

https://blog.google/feed/preferred-sources-expands/
1•healsdata•11m ago•0 comments

What AI Learned from Cancer Slides Shocked Researchers

https://scitechdaily.com/what-ai-learned-from-cancer-slides-shocked-researchers/
2•ashishgupta2209•12m ago•0 comments

Why Not Make All Car Brakes Like Hybrid Car Brakes

https://www.bogleheads.org/forum/viewtopic.php?t=465077
1•ilamont•17m ago•0 comments

Review: The Little Book of Data

https://bobonbooks.com/2025/06/16/review-the-little-book-of-data/
1•teleforce•18m ago•0 comments

Apple releases 2d to 3D image generator open source

https://twitter.com/minchoi/status/2000951667416875081
1•tomcam•21m ago•1 comments

Act-1: A Robot Foundation Model Trained on Zero Robot Data

https://www.sunday.ai/journal/no-robot-data
1•jinqueeny•21m ago•0 comments

South Korean contractors on Taiwan submarines jailed for leaking documents

https://www.reuters.com/world/china/south-korean-contractors-taiwan-submarines-jailed-leaking-doc...
2•wslh•24m ago•0 comments

Magic Link

https://megafunnels.olspsystem.com/mega_team-builders-8507?referrer_id=1586259&source=d1
1•limodave•25m ago•0 comments

Show HN: Injector – Field-tag-only dependency injection for Go

https://github.com/mickamy/injector
1•mickamy•26m ago•0 comments

Venezuela's Maduro says Trump's comments on land and oil reveal his true motives

https://www.cnn.com/2025/12/17/americas/venezuela-oil-land-trump-motives-intl-latam
4•Bender•31m ago•1 comments

Langgraph – Low Level Orchestration Framework

https://github.com/langchain-ai/langgraph
1•rammy1234•31m ago•0 comments

Ask HN: Those making $500/month on side projects in 2025 – Show and tell

1•cvbox•31m ago•1 comments

Electric soup cup that enhances salty taste

https://www.japantimes.co.jp/news/2025/09/10/japan/kirin-electric-cup-enhances-salty-taste/
2•geox•36m ago•1 comments

Mini-SGLang: A lightweight yet high-performance inference framework for LLM

https://github.com/sgl-project/mini-sglang
1•limoce•39m ago•0 comments

US admits liability in helicopter collision with American jet that killed 67

https://www.cnbc.com/2025/12/17/us-army-helicopter-collision-american-airlines-jet.html
10•pseudolus•42m ago•0 comments

Show HN: Solance – Discover Music Through Friends

https://www.solance.app/
1•Solance•47m ago•0 comments

I made a simple form for restaurants and cafes to list their location on OSM

https://localcafe.org/locations/submit/new
2•fullstacking•48m ago•2 comments

Tucker claims Trump will declare war on Venezuela tonight address to nation

https://www.dailymail.co.uk/news/article-15393611/venezuela-trump-address-nation-oval-office-war....
6•Bender•49m ago•8 comments

Apple Announces Changes to iOS in Japan

https://www.apple.com/newsroom/2025/12/apple-announces-changes-to-ios-in-japan/
4•soheilpro•53m ago•0 comments

We Built GPT Image 1.5 Because AI Image Generators Still Suck

https://loraai.io/es/gpt-image-15
1•xbaicai•54m ago•2 comments

English has become easier to read

https://www.worksinprogress.news/p/english-prose-has-become-much-easier
1•pseudolus•57m ago•0 comments

Shiver Offroad lives and operates on the move

https://www.expandable-trailers.com/na/news/shiver-offroad-mansion
1•gnabgib•58m ago•0 comments

Coinbase adds prediction markets and stocks in push to be one-stop trading app

https://www.cnbc.com/2025/12/17/coinbase-prediction-markets-stock-trading-stablecoins.html
3•PieUser•58m ago•0 comments

How China built its Manhattan Project rival west AI chips

https://www.reuters.com/world/china/how-china-built-its-manhattan-project-rival-west-ai-chips-202...
6•markus_zhang•1h ago•0 comments

Waymo and Tesla's self-driving systems are more similar than people think

https://www.understandingai.org/p/waymo-and-teslas-self-driving-systems
2•cusaitech•1h ago•1 comments

Show HN: Made a plugin where you can generate consistent illustrations in Figma

https://www.figma.com/community/plugin/1582491263591994064/ilus-ai-consistent-illustration-generator
1•Kristjan_Retter•1h ago•0 comments

How Much Water Do AI Data Centers Use?

https://undark.org/2025/12/16/ai-data-centers-water/
1•EA-3167•1h ago•0 comments

Ask HN: Alternative to lean domain search without .blog

https://2worddomain.com/
1•aleks5678•1h ago•1 comments
Open in hackernews

Show HN: YT NoteTaker – Simple Manual Note Taking on YouTube Videos

https://kavinaidoo.github.io/ytnt/
2•kavinaidoo•7mo ago
Hi HN,

YTNT is a simple web-app for manually typing notes while watching a YouTube video. Simultaneously type and control playback with keyboard shortcuts. Export to Word (.docx) when you're done.

I'm seeking general feedback.

NOTES:

- The only way to "save" (for now) is to export to a Word .docx

- Speech-to-text only works in Chrome

GitHub: https://github.com/kavinaidoo/ytnt

Blog Post: http://archive.today/FRqwp

Thanks, Kavi

Comments

Leftium•7mo ago
I forked oTranscribe and added some features to solve a similar problem.

- demo: https://otranscribe.netlify.app/?vsl=definedefine

- source code: https://github.com/Leftium/oTranscribe

- CLI tool to generate OTR (oTranscribe) files from (YouTube) SBV/TTML files: https://github.com/Leftium/otrgen

In my case, I wanted to start with the (auto-generated) YouTube transcript and get clickable timestamps. This makes it much faster to search through the content of a video: I can read/search much faster than watching a video, even on 2X speed.

I could also add my own notes to the transcript.

If you add support for loading transcripts like this, it could work cross-browser without the microphone/speech-to-text.

kavinaidoo•7mo ago
Aha, starting with the YouTube transcript is a great idea. I wanted to start with it but I couldn't find a way to get it from the YouTube iFrame API so I went with the Web Speech API to listen and convert.

Forgive me for the confusion, the demo link implies that the transcript is loaded from the video but I see in the code that there's a pre-existing "/txt/definedefine.md" that is loaded. How are these SBV/TTML files downloaded from YouTube in the first place? I assume that it is a separate process? I see you are then using otrgen to presumably convert these so they can be used by oTranscribe.

If I could load the transcripts dynamically when loading the YouTube video that would be a great feature.

Leftium•7mo ago
The demo simply demonstrates how I used my tool. It requires some manual set up:

- TTML files are downloaded via CLI: `yt-dlp.exe --skip-download --write-auto-sub --sub-format ttml`

- TTML files are converted to the OTR .MD format via my CLI tool

- The MD file can be dragged & dropped onto the web app.

---

I think it is possible to download SBV/TTML files, but the download must be done from the server due to CORS restrictions.

My app didn't go this far due to limitations of the (serverless) platform it is hosted on. Also it was faster to just do the steps manually vs. developing a server that does it.

I have seen many services that download the transcript. Here are a few:

- https://youtubetranscript.com

- https://kagi.com/summarizer

- https://www.tubepen.com

However, note YouTube may block your server if you download too many transcripts: https://kagifeedback.org/d/4451-universal-summarizer-cant-fi...

kavinaidoo•7mo ago
I think I'll just have to stick with my current method for now, looks like the only way to get it done with static hosting.
Leftium•7mo ago
I'm planning a beat-aware YouTube player. Unfortunately, it is not possible to access the audio stream data across the YouTube embed. (For beat-detection analysis.)

I considered using the microphone like this. It's nice to see it works. Although there seems to be a time limit to how long the microphone can record?

My plan was to download video (youtube-dlp), then make a CLI tool that analyzes and uploads the beat-detection data. An advantage of the CLI tool is it can complete the analysis faster than playing the video at 1X.

kavinaidoo•7mo ago
Yeah, I also wanted to "pipe" the audio directly to the Web Speech API but had to resort to using the mic. Another feature I wanted to add was to have a keyboard shortcut insert a screenshot of the video into the notes. Handy for diagrams etc but I hit some roadblocks there too and the workarounds were getting crazy.

Regarding the time-limit, I'm entirely accessing the audio stream using the Web Speech API and it "decides" (usually when there's a sufficient pause) when to finalize a recognition result. It was also firing a "recognition.onend" event after a certain amount of time (some old details here: https://stackoverflow.com/questions/38213580/chromes-webkits...) so I have a workaround where if the user did not turn off speech-to-text, it is immediately restarted. You'll see console warnings "userStopped == false - trying to restart" when this happens.

I assume you'll have no such issues because you'll be handling the "raw" audio data and not working through this API. Also, I've noticed that when using the Web Speech API on Safari, it does not "hear" what the tab is playing. It only hears external audio. I'm not sure whether this will be an issue for you but for me it means my app is Chrome only (suboptimal). Forgive me for my naïveté in this arena, It's the first time I'm using any browser audio API.

Would your tool run on a server and work with a frontend for YT link ingestion or will you just use it yourself from the cli?

Leftium•7mo ago
Ideally, my tool would run on the server. Especially if I wanted to monetize the service. (However I think there may be legal issues that are larger than the technical ones...)

However it's just a small hobby project. So realistically I think this is how it will work:

- If user tries to load a video without beat data yet, instructions are shown for how to add the beat data. The instructions will be running CLI command like `npx upload-beat-data [YOUTUBE-URL]`

- The CLI tool will download the audio, then upload the beat data to my site.

- The site will also log which videos got a lot of requests, but are missing beat data. So I can manually add the beat data myself.