frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

All Model Labs Are Now Agent Labs

https://www.latent.space/p/ainews-all-model-labs-are-now-agent
1•swyx•48s ago•0 comments

Zero-dependency CLI that converts LinkedIn exports into Markdown for LLMs

https://linkedin2md.daza.ar/
1•juanmanueldaza•3m ago•0 comments

Show HN: Waiting for AI Grand Prix racing SIM? Me too So I made one

https://github.com/elodin-sys/ai-grand-prix
1•danAtElodin•3m ago•0 comments

The SpaceX IPO filing is filled with AI bets, Starship dreams

https://techcrunch.com/2026/05/20/the-spacex-ipo-filing-ai-bets-starship-dreams-elon-musk/
1•dotcoma•4m ago•0 comments

The analog computer museum's online library

https://www.analogmuseum.org/english/library.html
1•nill0•21m ago•0 comments

Being oncall taught me everything

https://yaoyue.org/blog/2026-oncall/
1•RyeCombinator•25m ago•0 comments

Product Launches, Tools and Builder Guides

https://nicklaunches.com/
2•theorchid•27m ago•3 comments

Google Is Killing ChromeOS: Aluminium OS, Its Android-Based Replacement

https://techjournal.org/google-aluminium-os-replacing-chromeos
2•pabs3•34m ago•0 comments

The Making of Indian Statistics

https://altermag.com/articles/the-making-of-indian-statistics
2•trojanalert•37m ago•0 comments

Microsoft reports AI is more expensive than paying human employees

https://fortune.com/2026/05/22/microsoft-ai-cost-problem-tokens-agents/
33•nreece•41m ago•8 comments

Most EVM systems have no memory

https://blog.bridgexapi.io/most-evm-systems-have-no-memory
2•Bridgexapi•42m ago•1 comments

Agent Substrate

https://github.com/agent-substrate/substrate
1•ahmedtd•43m ago•0 comments

Comparisons as Predictable as the Sunrise

https://pudding.cool/2026/05/similes/
1•newtwentysix•44m ago•0 comments

What Is an Air Gap?

https://www.ibm.com/think/topics/air-gap
1•teleforce•50m ago•0 comments

Ask HN: How concerned are you about a debt crisis?

6•bhag2066•51m ago•2 comments

Laravel Lang Compromised with RCE Backdoor Across 700 Versions

https://socket.dev/blog/laravel-lang-compromise
2•gpi•53m ago•0 comments

New kind of dark tourism emerging in online 'Backrooms,' study shows

https://phys.org/news/2026-05-kind-dark-tourism-emerging-online.html
1•WaitWaitWha•57m ago•0 comments

How the Library of Congress is using both AI and volunteers to unlock history

https://www.nextgov.com/artificial-intelligence/2026/05/how-library-congress-using-both-ai-and-vo...
1•WaitWaitWha•1h ago•0 comments

The Verification Tree: Turning AI bug report floods into a confidence signal

https://zenodo.org/records/20349904
2•yellow_glovez•1h ago•0 comments

Thousands evacuated in Garden Grove worry toxic chemicals in tank could explode

https://ktla.com/news/orange-county/thousands-evacuated-again-after-toxic-tank-leak-in-garden-grove/
2•Bender•1h ago•1 comments

Systemd 261-Rc1 Released with OS Installer, IMDS Subsystem and New Storagectl

https://www.phoronix.com/news/systemd-261-rc1
1•Bender•1h ago•0 comments

Feds unwittingly leak pilots' pre-crash conversation

https://www.theregister.com/science/2026/05/23/feds-unwittingly-leak-pilots-pre-crash-conversatio...
2•Bender•1h ago•0 comments

Kagi Search API is now in public preview

https://kagi.com/changelog#10622
3•mroche•1h ago•0 comments

A Visual Tour of Classical Electromagnetism (1960)

https://web.mit.edu/8.02t/www/802TEAL3D/visualizations/guidedtour/Tour.htm#_Toc27302365
2•nill0•1h ago•0 comments

My Hermes and Obsidian Setup and Use Cases

https://metedata.substack.com/p/013-my-hermes-and-obsidian-set-up
1•thunderbong•1h ago•0 comments

New rule requires most green-card applicants to apply from outside U.S.

https://www.washingtonpost.com/immigration/2026/05/22/new-rule-requires-most-green-card-applicant...
17•michaelsbradley•1h ago•5 comments

Shocker: Docker implemented in ~300 lines of bash

https://github.com/traceypooh/shocker
2•traceypooh•1h ago•1 comments

Any positive sides of LLM there?

2•artturibyte•1h ago•1 comments

WebFinder for Tailscale

https://zeulewan.github.io/web-finder/index.html
1•zeulewan•1h ago•0 comments

The Web Is About to Get a Second Door

https://medium.com/@vektormemory/the-web-is-about-to-get-a-second-door-5f9fa0fd0d0f
3•vektormemory•1h ago•0 comments
Open in hackernews

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

https://kavinaidoo.github.io/ytnt/
2•kavinaidoo•1y 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•1y 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•1y 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•1y 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•1y 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•1y 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•1y 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•1y 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.