CastDop – Search Inside Podcasts

Hacker News

Hi fellow hackers, I made a website to search full episodes in podcasts. You can search by terms/words, or list all episodes of podcast and view their transcripts. (To list available episodes, click on the podcast name in the search result) - Search in transcripts - View Full transcripts of episodes - Highlight important section of podcast episode - Currently only for English podcasts There is another feature in transcripts which highlights important sentences in the podcast. The website has around 2500 episodes transcribed from around 80 podcasts. I am working on adding around 1000 episodes per day but the list is random. If you provide your favorite podcast in comment / on the website form, then I can prioritize that. Note that full transcript is not available for some episodes but search is working. For full episodes, you can look for 10 podcasts with full transcripts on the right side of the page. e.g (Lex Fridman doesn't have search result for latest 20 podcasts but before that we have around 245 episodes full transcript and searchable.) Few questions : 1. I know that sooner or later big companies like Apple / Google /Spotify might add this feature on their podcasts. Is it worth pursuing it ? 2. How can I make it self-sustainable for getting server costs? Thanks to @wenbin, hackernews - for showing one person can build a product. Any help / comment / feedback is appreciated. Thanks

Visit product View on Hacker NewsDec 1, 2022

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

89%89% 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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% 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, 000, io · Missing: https docs, excited, just released

39%39% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · 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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