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Bell Kiosk makes websites by hand for humans

https://bellkiosk.website/
1•cookingoils•18s ago•0 comments

Show HN: I built a 3D engine that turns PDFs into playable study worlds

https://www.lorea.app/
1•herbstgewinn•47s ago•0 comments

Show HN: Oath – prove a human authorized each action before your AI agent acts

https://github.com/oath-protocol/oath-protocol
1•danbitengo•1m ago•0 comments

Too Use: The Bridge Between Software Engineering and Agentic AI

https://agenticloopsai.substack.com/p/when-llms-finally-made-sense-to-me
1•vbanthia__•1m ago•0 comments

Ask HN: How many of you hold an amateur radio license in your country?

1•ToddWBurgess•3m ago•0 comments

Show HN: Persistent Agent Framework – Self-Correcting AI Agents on Claude Code

https://www.roryteehan.com/writing/i-built-an-ai-agent-that-writes-its-own-rules
1•raw_shu•3m ago•0 comments

Four months of Ruby Central moving Ruby backward

https://andre.arko.net/2026/03/03/four-months-of-ruby-central-moving-ruby-backward/
1•martinhath•3m ago•0 comments

Show HN: FetchPrompt – Manage LLM prompts outside your code with a REST API

https://www.fetchprompt.dev/
1•sharvin26•4m ago•0 comments

Show HN: SignalKit: Real-time audio DSP in pure Swift, zero dependencies

https://github.com/CastorLogic/SignalKit
1•CastorLogic•4m ago•1 comments

OpenAI amending contract with pentagon amid backlash

https://www.businessinsider.com/openai-amending-contract-with-pentagon-amid-backlash-mass-surveil...
1•discoinverno•5m ago•0 comments

Show HN: Open-sourced AI Agent runtime (YAML-first)

https://github.com/NikoSokratous/agentctl
1•nsokra02•6m ago•0 comments

Show HN: Mark your city and see where other builders are

https://nomaddot.verifiedtools.info/
1•oyaa52•6m ago•1 comments

Why mathematicians hate Good Will Hunting

https://www.scientificamerican.com/article/why-mathematicians-hate-good-will-hunting/
1•wglb•6m ago•0 comments

Show HN: I built a proxy that cuts LLM costs 40-60% – no AI involved

https://agentready.cloud/hn
1•christalingx•6m ago•1 comments

Gibberlink aims to make phone calls more efficient (2025)

https://www.heise.de/en/news/When-AI-talks-to-AI-Gibberlink-aims-to-make-phone-calls-more-efficie...
1•doener•9m ago•0 comments

The Gram Editor

https://rubenerd.com/the-gram-editor/
1•mikece•10m ago•0 comments

Hacking Involved in Khamenei Assassination

https://www.jpost.com/middle-east/iran-news/article-888598
2•nanna•11m ago•0 comments

Show HN: Self-Protecting Files for the Agentic Era

1•cl0r0x70•11m ago•0 comments

Show HN: PrivacyShield – Mask your PII before it reaches ChatGPT/Claude

https://www.piiblock.com
1•BuddhikaR•11m ago•1 comments

IT.System.Updates

1•NurseJohnBless•11m ago•2 comments

Reverse engineering "Hello World" in QuickBASIC 3.0

https://marnetto.net/2026/03/01/brun-hello-world
1•LaSombra•12m ago•0 comments

Show HN: Learnprints – a full learning OS I built solo on nights and weekends

https://learnprints.ca
1•Jessyabc•16m ago•1 comments

Situational Awareness: the decade ahead (2024)

https://situational-awareness.ai/
1•andsoitis•18m ago•0 comments

Extremophile survives the pressures of impact-induced ejection from Mars

https://academic.oup.com/pnasnexus/article/5/3/pgag018/8503064
1•geox•18m ago•0 comments

Show HN: Dice Jaga – A simple Yahtzee x Roguelike inspired web game

https://dice-jaga.bryanhogan.com/
1•bryanhogan•18m ago•0 comments

Ask HN: How do agencies price projects when AI increases productivity and costs?

1•hakonbogen•19m ago•0 comments

Show HN: MCP server that timestamps every web extraction for AI agents

https://github.com/PrinceGabriel-lgtm/freshcontext-mcp
1•Prince-Gabriel•19m ago•0 comments

Data centres in space: less crazy than you think

https://economist.com/science-and-technology/2026/03/02/data-centres-in-space-less-crazy-than-you...
1•andsoitis•19m ago•0 comments

Querying 3B Vectors

https://vickiboykis.com/2026/02/21/querying-3-billion-vectors/
1•surprisetalk•20m ago•0 comments

Do Less

https://usefulfictions.substack.com/p/do-less
1•surprisetalk•20m ago•0 comments
Open in hackernews

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

https://kavinaidoo.github.io/ytnt/
2•kavinaidoo•9mo 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•9mo 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•9mo 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•9mo 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•9mo 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•9mo 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•9mo 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•9mo 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.