iListen – I made an app which summarizes articles into short podcasts

Hacker News

Hey HN! We've built a tool that summarizes webpages into short podcasts. What started as my little personal productivity tool has launched! I initially made this to address a personal problem - overflowing inboxes from newsletter subscriptions, colleagues sending me articles, keeping up with news and industry research. I thought this would make a great solution to others like me struggling with information overload. Key features include: - Customisation: All summaries can be customised to your preferred voice and summary type; - Podcast library: All summaries (both in text and in audio) are stored in your library - so you can listen to all your summaries directly from the app; - Chrome extension: Our Chrome Extension (which actually sparked the core app idea!) lets you summarize and listen to any webpage while you're browsing. Would love to get any form of feedback on the product - and if this is something you'll use.

Visit product View on Hacker NewsFeb 20, 2024

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

81%81% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

52%52% predicted probability of success on TrustMRR, 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

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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