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Wonderpod – Turn newsletters/blogs into podcasts in 56 languages

Hacker News

Wonderpod – Turn newsletters/blogs into podcasts in 56 languages

Wonderpod - https://wonderpod.ai Automatically converts content from newsletter/blog into audio podcasts. Once setup it generates a new podcast for each new email/post it receives. Key features: - "Natural" (almost !) sounding dialogue between two voices - Fully automated (no need to generate each episode individually) - Support for 56+ languages - Premium voices via ElevenLabs Example: - English: https://open.spotify.com/show/6guuJS8YZd6jDeqQ7JKW7Q - French: https://open.spotify.com/show/0VId58TV7eno13b2p5KH59 - Dutch: https://open.spotify.com/show/3F26YHlTMVxLhd37y5P0Sw Tech stack: - Frontend: Built with Lovable (without them I wouldn't have been able to build this solo) - Backend: Custom implementation (using copilot as a dear companion) - AI: GPT-4o with a loooot of prompt engineering - TTS: OpenAI and ElevenLabs I'm a solo founder building this to help content creators reach wider audiences (and for me to play/learn on using AI within an app). Would love your feedback!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: lovable, new, email · Missing: mac, agents, macos
90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
58%58% 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
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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