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SpanishDict Shortcuts (Chrome Extension)

Hacker News

SpanishDict Shortcuts (Chrome Extension)

Hey Hacker News, some of you might be familiar with spanishdict.com - a fantastic website to learn Spanish for free. As a regular user of the site, I was missing some features that would elevate the learning experience to the next level. So I developed SpanishDict Shortcuts, a small Chrome browser extension that makes learning on spanishdict.com more customized to your learning workflow. It contains features like keyboard shortcuts to toggle subtitles on grammar videos so that you can practice your listening comprehension for example. Or editing the navigation bar to show the most relevant links to you. As well as changing the replay speed of videos, replaying a video on shortcut and many more quality of life features. Looking forward to your feedback! P.S.: The extension can be installed but is only available via link for now. This is because I want to test it before making it public.

Visit productView on Hacker NewsOct 25, 2024
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% 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 · Strong signals: user, new · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released
45%45% 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: video · Missing: mobile apps, ios, personal
43%43% 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
12%12% 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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