Chrome extension to “listen to-what-you-want-to-read”

Hacker News

TL;DR : Listen to what you want to read Chrome Extension URL : https://chrome.google.com/webstore/detail/running-commentary/hlkolgejaenicoeckonajgnajfmafodp Developer Story : Often, especially in the office hours, the tab switch on the browser is inevitable when you want to follow a live feed or a sports text commentary. This browser extension will read the live feed for you so that you continue the work. By reading out every new feed on your favorite websites, let the "scores-follow-you" instead of "you-following-scores". You can even listen to the part of a blog or full blog (a static content) by selecting the portion of the web element you are interested to read. Motivation : Listen to a live text feed (commentary, chat) from your favorite website instead of reading. P.S: I accidentally submitted the test version (to share with beta users) for review and hence some Grammar mistakes, please ignore. The newer version is under review.

Visit product View on Hacker NewsJan 14, 2020

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

69%69% 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: mistakes · Missing: supports, reddit linkedin, podcasting

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

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

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

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

45%45% 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

26%26% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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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