Comparison
LLMFeeder vs awesome-notebookLM-prompts
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.
Markdown twin · LLMFeeder alternatives · awesome-notebookLM-prompts alternatives
GraphCanon updated Aug 27, 2026
6views this month
Trust & integrity
| Signal | LLMFeeder | awesome-notebookLM-prompts |
|---|---|---|
| Maintenance | Active (9d since push) As of Aug 12, 2026 · github_public_v1 | Steady (69d since push) As of Aug 27, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 12, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 27, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- LLMFeeder
- Browser extension for converting web pages to clean Markdown
- awesome-notebookLM-prompts
- Curated collection of NotebookLM slide prompts for AI presentations
Stars
- LLMFeeder
- 451
- awesome-notebookLM-prompts
- 4.5k
Forks
- LLMFeeder
- 54
- awesome-notebookLM-prompts
- 664
Open issues
- LLMFeeder
- 10
- awesome-notebookLM-prompts
- 1
Language
- LLMFeeder
- JavaScript
- awesome-notebookLM-prompts
- -
Adopt for
- LLMFeeder
- LLMFeeder simplifies preparing web content for AI models by converting it to Markdown with one click.
- awesome-notebookLM-prompts
- A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering.
Persona
- LLMFeeder
- -
- awesome-notebookLM-prompts
- -
Runtime
- LLMFeeder
- -
- awesome-notebookLM-prompts
- -
License
- LLMFeeder
- MIT
- awesome-notebookLM-prompts
- Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved.
Last pushed
- LLMFeeder
- Aug 2, 2026
- awesome-notebookLM-prompts
- Jun 19, 2026
Categories
- LLMFeeder
- Developer Tools, Model Training
- awesome-notebookLM-prompts
- AI Agents, Developer Tools
Trust and health
Maintenance
- LLMFeeder
- Active (82%)
- awesome-notebookLM-prompts
- Steady (60%)
Days since push
- LLMFeeder
- 9d
- awesome-notebookLM-prompts
- 69d
Open issues (now)
- LLMFeeder
- 10
- awesome-notebookLM-prompts
- 1
Stars delta
- LLMFeeder
- Unknown
- awesome-notebookLM-prompts
- +211 (30d)
Open issues delta
- LLMFeeder
- Unknown
- awesome-notebookLM-prompts
- 0 (30d)
Full report
- LLMFeeder
- Trust report
- awesome-notebookLM-prompts
- Trust report
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
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
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jatinkrmalik/LLMFeeder) · observed Aug 12, 2026
- GitHub forks (jatinkrmalik/LLMFeeder) · observed Aug 12, 2026
- Last push (jatinkrmalik/LLMFeeder) · observed Aug 2, 2026
- License file (MIT) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (serenakeyitan/awesome-notebookLM-prompts) · observed Aug 27, 2026
- GitHub forks (serenakeyitan/awesome-notebookLM-prompts) · observed Aug 27, 2026
- Last push (serenakeyitan/awesome-notebookLM-prompts) · observed Jun 19, 2026
- License file (MIT) · observed Aug 27, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LLMFeeder 451 · awesome-notebookLM-prompts 4.5k (synced Aug 12, 2026).
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 (4,547 vs 451). 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 and awesome-notebookLM-prompts alternatives (LLMFeeder markdown twin, awesome-notebookLM-prompts markdown twin), 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 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: Steady. 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; awesome-notebookLM-prompts trust report.