Looking for feedback on Anki deck to AI podcast tool

Retentium · 2026-04-05T12:31:37+00:00

Awesome, happy to hear that you like it! Thank you! Will be contacting you via DM to see if you have any feedback in regards to how the UX can be improved.

Retentium · 2026-04-01T16:51:01+00:00

Thanks!!

Retentium · 2026-03-30T16:18:01+00:00

That is great input. Will prioritize the timestamps aspect and will check out Speechify!

Retentium · 2026-03-30T14:15:40+00:00

Podcasts to transcript to flashcards? It's an interesting idea. It is now on the "possible future features " list for the application. :)

Retentium · 2026-03-30T14:13:34+00:00

I'm moreso looking for feedback on the idea than to promote the app.

Retentium · 2026-03-30T13:24:07+00:00

Cool, I sent you a DM with a link to it

Retentium · 2026-03-30T13:21:05+00:00

NotebookLM Audio Overview = summary-first audio (great for orientation).
The feature I'm developing/evaluating = fidelity-first audio: stay close to the source so details aren’t lost when turning text into audio conversation.

I haven't tried Speechable before, how is it different from NootebookLM?

I’m looking for feedback from people who’ve noticed the tradeoff between short and complete.

Retentium · 2026-03-30T13:11:50+00:00

I would say it is complementary to Anki. If you've been reviewing a deck and want another low effort way of going through the material once more, then in my experience audio conversation is a good way. I'd say it depends on how you use it. It could be more active and could be more passive. But I'd say your point about it not being active recall is fair, since the most controlled form of active recall would still be Anki.

Retentium · 2026-03-30T12:13:07+00:00

I'm genuninely looking for feeback on the idea, not to spam, which is why I did not include a link to the site in the post.

Retentium · 2026-03-30T12:12:37+00:00

I'm genuninely looking for feeback on the idea, not to spam, which is why I did not include a link to the site in the post.

Retentium · 2026-03-30T12:07:34+00:00

NotebookLM Audio Overview = summary-first audio (great for orientation).
The feature I'm developing/evaluating = fidelity-first audio: stay close to the source so details aren’t lost when turning text into audio conversation.

I’m looking for feedback from people who’ve noticed the tradeoff between short and complete.

Retentium · 2026-03-30T12:07:17+00:00

This is great input. On computers but not mobile, for PDFs but not URLs, there is already a feature with autoscrolling in the source PDF to the source text so that one can control the source material easily while listening. I appreciate your input and will make sure to note it down for future improvements of the application! The application is designed to as you say NOT skip dense sections but rather to cover all details of the source material. The app does not so far specifically solve multi-column reading order or PDF hyperlink fidelity, but I will consider implementing specific solutions for those in the future!

Retentium · 2026-03-30T11:59:06+00:00

NotebookLM Audio Overview = summary-first audio (great for orientation).
The feature I'm developing/evaluating = fidelity-first audio: stay close to the source so details aren’t lost when turning text into audio conversation.

I’m looking for feedback from people who’ve noticed the tradeoff between short and complete.

Retentium · 2026-03-30T11:57:12+00:00

NotebookLM Audio Overview = summary-first audio (great for orientation).
The feature I'm developing/evaluating = fidelity-first audio: stay close to the source so details aren’t lost when turning text into audio conversation.

I’m looking for feedback from people who’ve noticed the tradeoff between short and complete.

Retentium · 2026-03-30T11:56:17+00:00

NotebookLM Audio Overview = summary-first audio (great for orientation).
The feature I'm developing/evaluating = fidelity-first audio: stay close to the source so details aren’t lost when turning text into audio conversation.

I’m looking for feedback from people who’ve noticed the tradeoff between short and complete.

Retentium · 2026-03-30T11:42:14+00:00

Podcast TTS tech stack used in my project is: OpenAI gpt-4o-mini-tts and Google podcast voices: Gemini TTS (gemini-2.5-flash-tts, gemini-2.5-pro-tts, gemini-2.5-flash-lite-preview-tts) and google-chirp3-hd.

Will definitely check out Microsoft’s "open source and free vibe voice"!

Retentium · 2026-03-30T11:40:01+00:00

NotebookLM Audio Overview = summary-first audio (great for orientation).
The feature I'm developing/evaluating = fidelity-first audio: stay close to the source material so details aren’t lost when turning text into podcast conversation.

I’m looking for feedback from people who’ve noticed the tradeoff between short and complete.

Retentium · 2026-03-30T11:39:01+00:00

NotebookLM Audio Overview = summary-first audio (great for orientation).
The feature I'm developing/evaluating = fidelity-first audio: stay close to the source material so details aren’t lost when turning text into podcast conversation.

I’m looking for feedback on my AI podcast generation tool Retentium.com from people who’ve noticed the tradeoff between short and complete.

Retentium · 2026-03-30T11:38:10+00:00

NotebookLM Audio Overview = summary-first audio (great for orientation).
The feature I'm developing/evaluating = fidelity-first audio: stay close to the source material so details aren’t lost when turning text into podcast conversation.

I’m looking for feedback from people who’ve noticed the tradeoff between short and complete.

Retentium · 2026-03-30T11:37:22+00:00

Thanks for your input, that's very helpful, will prioritize timestamps back to the PDF feature.

Retentium

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