--- title: "LLMFeeder vs awesome-notebookLM-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jatinkrmalik-llmfeeder-vs-serenakeyitan-awesome-notebooklm-prompts" tools: ["jatinkrmalik-llmfeeder", "serenakeyitan-awesome-notebooklm-prompts"] --- # LLMFeeder vs awesome-notebookLM-prompts *GraphCanon updated Sep 20, 2026* ## Verdict Pick LLMFeeder if lLMFeeder simplifies preparing web content for AI models by converting it to Markdown with one click; pick awesome-notebookLM-prompts if a curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. [LLMFeeder](https://llmfeeder.fyi) reports 471 GitHub stars, 58 forks, and 12 open issues, last pushed Sep 5, 2026. [awesome-notebookLM-prompts](https://github.com/serenakeyitan/awesome-notebookLM-prompts) has 4.6k stars, 677 forks, and 1 open issues, last pushed Jun 19, 2026. Figures are from public GitHub metadata via [LLMFeeder's repository](https://github.com/jatinkrmalik/LLMFeeder) and [awesome-notebookLM-prompts's repository](https://github.com/serenakeyitan/awesome-notebookLM-prompts). | | [LLMFeeder](/tools/jatinkrmalik-llmfeeder.md) | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | | --- | --- | --- | | Tagline | Browser extension for converting web pages to clean Markdown | Curated collection of NotebookLM slide prompts for AI presentations | | Stars | 471 | 4,617 | | Forks | 58 | 677 | | Open issues | 12 | 1 | | Language | JavaScript | - | | Adopt for | LLMFeeder simplifies preparing web content for AI models by converting it to Markdown with one click. | A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. | | Persona | - | - | | Runtime | - | - | | License | MIT | Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. | | Categories | Developer Tools, Model Training | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLMFeeder](/tools/jatinkrmalik-llmfeeder.md) | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 14d | 92d | | Open issues (now) | 12 | 1 | | Stars delta | +20 (30d) | +281 (30d) | | Open issues delta | +2 (30d) | 0 (30d) | | Full report | [trust report](/tools/jatinkrmalik-llmfeeder/trust.md) | [trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust.md) | ## Decision facts: LLMFeeder - **Adopt for:** LLMFeeder simplifies preparing web content for AI models by converting it to Markdown with one click. ## Decision facts: awesome-notebookLM-prompts - **Adopt for:** A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. - **License detail:** Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. ## Choose when ### Choose LLMFeeder if… - Tags unique to LLMFeeder: automation, browser-extension, llm, markdown. - Also covers Model Training. - When you need quick, clean markdown from webpages for use in AI language models ### Choose awesome-notebookLM-prompts if… - Tags unique to awesome-notebookLM-prompts: ai-agents, notebooklm, prompt-engineering. - Also covers AI Agents. - When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations ## When NOT to use LLMFeeder - For pages needing complex formatting retention since Markdown conversion strips style - If real-time interaction with webpage content is required post-conversion, as it copies plain text only ## When NOT to use awesome-notebookLM-prompts - For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style - If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone ## Common questions ### What is the difference between LLMFeeder and awesome-notebookLM-prompts? LLMFeeder: Browser extension for converting web pages to clean Markdown. awesome-notebookLM-prompts: Curated collection of NotebookLM slide prompts for AI presentations. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLMFeeder over awesome-notebookLM-prompts? Choose LLMFeeder over awesome-notebookLM-prompts when Tags unique to LLMFeeder: automation, browser-extension, llm, markdown; Also covers Model Training; When you need quick, clean markdown from webpages for use in AI language models. ### When should I choose awesome-notebookLM-prompts over LLMFeeder? Choose awesome-notebookLM-prompts over LLMFeeder when Tags unique to awesome-notebookLM-prompts: ai-agents, notebooklm, prompt-engineering; Also covers AI Agents; When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations. ### When should I avoid LLMFeeder? For pages needing complex formatting retention since Markdown conversion strips style If real-time interaction with webpage content is required post-conversion, as it copies plain text only ### When should I avoid awesome-notebookLM-prompts? For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone ### Is LLMFeeder or awesome-notebookLM-prompts more popular on GitHub? awesome-notebookLM-prompts has more GitHub stars (4,617 vs 471). Stars measure visibility, not whether either tool fits your constraints. ### Are LLMFeeder and awesome-notebookLM-prompts open source? Yes - both are open-source projects on GitHub (LLMFeeder: MIT, awesome-notebookLM-prompts: MIT). ### Where can I find alternatives to LLMFeeder or awesome-notebookLM-prompts? GraphCanon lists graph-backed alternatives at [LLMFeeder alternatives](/tools/jatinkrmalik-llmfeeder/alternatives) and [awesome-notebookLM-prompts alternatives](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives) ([LLMFeeder markdown twin](/tools/jatinkrmalik-llmfeeder/alternatives.md), [awesome-notebookLM-prompts markdown twin](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/jatinkrmalik-llmfeeder-vs-serenakeyitan-awesome-notebooklm-prompts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LLMFeeder or awesome-notebookLM-prompts? LLMFeeder: Active. awesome-notebookLM-prompts: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for LLMFeeder and awesome-notebookLM-prompts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLMFeeder trust report](/tools/jatinkrmalik-llmfeeder/trust); [awesome-notebookLM-prompts trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jatinkrmalik-llmfeeder`](/api/graphcanon/graph?tool=jatinkrmalik-llmfeeder) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_