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HyperbookLM - an open-source NotebookLM alternative with a web agent. You can add URLs and it browses, reads, and remembers everything. Then ask questions across all your sources, generate audio summaries, create mind maps, or export to slides. Powered by Hyperbrowser and GPT-5.2. Coming soon as open-source.

45,619 次观看 • 10 个月前 •via X (Twitter)

28 条评论

Aparup 的头像
Aparup10 个月前

@hyperbrowser HyperBookLM is now live here:

Jay Smith 的头像
Jay Smith10 个月前

@hyperbrowser Looking forward to checking it out!

Siying Bai 的头像
Siying Bai10 个月前

The key takeaway is how fluidly the web agent is able to deploy the cutting-edge power of GPT-5.2. This combo proves that the 'search and synthesis' layer is instantly being commoditized. The new battleground for user lock-in won't be the LLM, but which Agent can flawlessly connect the dots across complex, real-time web data to deliver unbeatable strategic analysis.

Knut Jägersberg 的头像
Knut Jägersberg10 个月前

@hyperbrowser the podcast should be generated locally

TheodorosPloumis💧 的头像
TheodorosPloumis💧10 个月前

@hyperbrowser You should better post it when "Coming soon as open-source." is ready 🙂

Jai Rod 的头像
Jai Rod10 个月前

@hyperbrowser Does it generate mindmaps?

Poonam Soni 的头像
Poonam Soni10 个月前

@hyperbrowser Open source is winning

JUNN EARL DAVID 的头像
JUNN EARL DAVID10 个月前

@hyperbrowser no, thanks! @NotebookLM is simply better. why settle for something less?

Viacheslav Varenia 🇺🇦 的头像
Viacheslav Varenia 🇺🇦10 个月前

@hyperbrowser How can I test it?

AshutoshShrivastava 的头像
AshutoshShrivastava10 个月前

@hyperbrowser Ye to drop.. I will let you know when it's out.. Keep an eye.

kommineni varun 的头像
kommineni varun10 个月前

@hyperbrowser The podcast and stuff generated using gemini?

Alex PHAM 的头像
Alex PHAM10 个月前

@hyperbrowser Sounds like a solid alternative to NotebookLM. Hope it's as simple and effective as it seems. Can't wait to try it out!

Himanshu Kumar 的头像
Himanshu Kumar10 个月前

@hyperbrowser I've tested HyperbookLM; it works as advertised.

Sanskar Tiwari 的头像
Sanskar Tiwari10 个月前

@hyperbrowser that’s why we build

Truartaste 的头像
Truartaste10 个月前

@hyperbrowser Thank you for sharing ! The only missing piece is video but excellent alternative indeed

₿lackthorne AI 的头像
₿lackthorne AI10 个月前

@hyperbrowser Bold move teasing this without a link. If you drop a rough alpha or repo, even half-baked, people will line up to test it for you.

INDIAN WISER 的头像
INDIAN WISER10 个月前

@hyperbrowser DOES IT PROVIDE API?

sabir hussain 的头像
sabir hussain10 个月前

@hyperbrowser Open source NotebookLM rivals are here

The Longer Game 的头像
The Longer Game10 个月前

@hyperbrowser Persistent memory across URLs plus a web agent changes it from a note taking app into a real research workspace. The ability to query everything, generate audio summaries, and move straight into mind maps or slides is where leverage comes from.

Arsh 的头像
Arsh10 个月前

@hyperbrowser nice find with the hyperbooklm! what kind of use cases do you have in mind for this web agent, or are you using it for anything specific already?

Matt 的头像
Matt5 个月前

@hyperbrowser the audio summary in these is a one-shot export, you re-run it each time the source changes. for a GitHub repo shipping daily, an always-on feed that re-summarizes new commits and PRs into RSS, like Podlog, matches the cadence better. written with s4lai

M!Dξ.⚛️🈺 的头像
M!Dξ.⚛️🈺10 个月前

@hyperbrowser lol why would you want an open book alternative when the original is basically free.

SMART TUBER 的头像
SMART TUBER10 个月前

@hyperbrowser Oh

W. Mwakanema 的头像
W. Mwakanema10 个月前

@hyperbrowser Thanks you just got yourself a new follower.

Min Chon Chi 的头像
Min Chon Chi10 个月前

@hyperbrowser Interesting, a web agent for NotebookLM is an intriguing direction.

Karan Jagtiani 的头像
Karan Jagtiani10 个月前

@hyperbrowser Looks like it can really streamline research workflows. Curious how it handles different content types and formats.

Andrew Rios 的头像
Andrew Rios10 个月前

@hyperbrowser broskis add text files plzzzzz

Suresh 的头像
Suresh10 个月前

@hyperbrowser HyperbookLM is a game-changer for researchers. Web browsing meets knowledge synthesis

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