Convert podcasts to newsletters with Gemini (FREE)

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Podcast2Newsletter I found some other tools that turned a podcast into a newsletter, but they all forced you to pay, and there was no bring-your-own API key option. I decided to make my own open source version. I am in the early days of developing this project, so any help/feedback is greatly appreciated. Why P2N? There are a few reasons why my implementation is better than the others on the market. - Open-source: The project is completely open source so you can contribute - Bring-your-own API Key: You can bring your own API key for google gemini, which you can get both a free and paid key for - Simple to use: Just install dependencies and ffmpeg, and then run it! It is that simple. - Active development: I am actively developing P2N, so you can always have the best experience.

Visit product View on Hacker NewsDec 23, 2024

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, gemini · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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