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Spec-Driven Design with Kiro: Lessons from Seddle

https://medium.com/@dustin_44710/spec-driven-design-with-kiro-lessons-from-seddle-9320ef18a61f
1•nslog•15s ago•0 comments

Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•1m ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•1m ago•0 comments

Free data transfer out to internet when moving out of AWS (2024)

https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-internet-when-moving-out-of-aws/
1•tosh•2m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•alwillis•3m ago•0 comments

Prejudice Against Leprosy

https://text.npr.org/g-s1-108321
1•hi41•4m ago•0 comments

Slint: Cross Platform UI Library

https://slint.dev/
1•Palmik•8m ago•0 comments

AI and Education: Generative AI and the Future of Critical Thinking

https://www.youtube.com/watch?v=k7PvscqGD24
1•nyc111•8m ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•9m ago•0 comments

Moltbook isn't real but it can still hurt you

https://12gramsofcarbon.com/p/tech-things-moltbook-isnt-real-but
1•theahura•13m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•14m ago•0 comments

Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•15m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
1•samuel246•17m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•17m ago•0 comments

Abstractions Are in the Eye of the Beholder

https://software.rajivprab.com/2019/08/29/abstractions-are-in-the-eye-of-the-beholder/
2•whack•18m ago•0 comments

Show HN: Routed Attention – 75-99% savings by routing between O(N) and O(N²)

https://zenodo.org/records/18518956
1•MikeBee•18m ago•0 comments

We didn't ask for this internet – Ezra Klein show [video]

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•19m ago•0 comments

The Real AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
2•geox•21m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•22m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
3•jerpint•22m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•24m ago•0 comments

I'm 15 and built a free tool for reading Greek/Latin texts. Would love feedback

https://the-lexicon-project.netlify.app/
2•breadwithjam•27m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•27m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•29m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•30m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•30m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•30m ago•0 comments

How to Identify and Eliminate Unused AWS Resources

https://medium.com/@vkelk/how-to-identify-and-eliminate-unused-aws-resources-b0e2040b4de8
3•vkelk•31m ago•0 comments

A2CDVI – HDMI output from from the Apple IIc's digital video output connector

https://github.com/MrTechGadget/A2C_DVI_SMD
2•mmoogle•32m ago•0 comments

CLI for Common Playwright Actions

https://github.com/microsoft/playwright-cli
3•saikatsg•33m ago•0 comments
Open in hackernews

Frustrated with YouTube, built LLM pipeline to extract 10min clips from podcasts

https://podtoc.com/app/
2•conradbez•1mo ago

Comments

conradbez•1mo ago
YouTube takes free uploaded podcasts clips and charges us outrageous premium fees to view.

The obvious alternative is to use a podcast app but I like the 10-20min clips and recommendation engine on YouTube. So I built podtoc.com to serve LLM generated podcast clips youtube-feed style.

The Tech:

- LLM Pipeline: I built a pipeline to extract meaningful clips from long-form content, specifically designed to capture one of the core insights covered in the podcast.

- Recommendation Engine: Suggests clips based on previous listening to solve the discovery problem.

- The App: A React Native (Web/iOS) app featuring a "swipe to next" UI for seamless browsing.

If this sounds like a problem you’ve faced, I’d love to hear:

1. Which podcasts would you like to see added to the library?

2. Any feedback on the UI or bugs you encounter?

3. Any questions about the pipeline or suggestions for the recommendation logic? (would love to open source after some cleanup)

Check it out: https://podtoc.com/app

yashasolutions•1mo ago
nice! I would love some insights how you identify the the meaningful clips (how to explain to the LLM what meaningful mean for a given content) - I have to build a similar tool internally and that's the question I am trying to find a good answer to right now.

Regarding your UI, it's nice. I would suggest adding some basic control for audio level in the player. Else. adding some search bar with auto complete or suggested query can make the interface more engaging for new users and more practical for returning users.

Then next level, you can try to make TikTok for audio with scrollable vertical view and animated audio waves (listening to audio while seeing something nice is a good way to hook people in) and generated subtitles. Viewing the text from what you're listening increases focus.

conradbez•1mo ago
Thanks for checking out

Couple tips on audio front:

1. gemini has native audio understanding so I would recommend checking out uploading there and playing with the prompt to get it's output matching what you are after

2. for audio over 1-hour I found chucking it into 45min segments made it easier for Gemini to give back reliable timestamps

3. you do need to check the LLM outputs for valid timestamps - it can go off the rails

I'll add search with the existing vector embeddings used for recommendation system and audio waves to the feature list - great idea!