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To Listen to Any Article, Just Add Playthis.link to the URL

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To Listen to Any Article, Just Add Playthis.link to the URL

I was tired of having to constantly scramble to find a podcast I want to listen to when going for a walk or just running on the treadmill. I, however, usually have an abundance of blog posts or articles around the web that I'd like to read. The problem is walking is not very conducive to reading. So I made this quick and dirty site that pretty much works anywhere, no app install, no copy paste, no nothing. Just add the domain playthis.link before any URL in your browser and hit enter. It will redirect to an audio file that automatically starts playing. You don't need to click a 2nd button to play the file either. It just starts reading the text right away. You can do this on your phone and just pick it up and go for a hike. Example: Amazing blog post: https://www.kalzumeus.com/2010/01/24/startup-seo/ Audio version: https://playthis.link/https://www.kalzumeus.com/2010/01/24/startup-seo/ Github repo: https://github.com/soheil/playthis.link

Visit productView on Hacker NewsMay 28, 2020
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% 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 · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
50%50% 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: way · Missing: mobile apps, ios, personal
22%22% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
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 · 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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