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Chrome Extension – Edit webapp internationalization keys in context

Hacker News

Chrome Extension – Edit webapp internationalization keys in context

Hi HN, As a developer, I used to be constantly interrupted by Slack messages like "Hey, can you change 'Submit' to 'Send' on the checkout page?" with a screenshot attached. We built Prismy with a great interface to enable anyone to edit translations, but it still had this context-switching problem. The typical workflow was painful: spot wording issues → open new tab → search for text in the translation management system → make changes blindly → submit → pray it fits → repeat when it inevitably doesn't. So we created a Chrome extension that changes the game completely. Now anyone on the team can: - Browse your webapp and click any text to edit it - See exactly how changes look in real context - Submit changes that arrive as clean pull requests - No more screenshots, no more "hunt the translation key" games This eliminates: - Developer bottlenecks for copy changes - Context switching when spotting wording issues - The blind edit-deploy-pray cycle Even as a developer, I love using it myself - iterating on wording in live mode beats the edit-deploy-check cycle every time. More info: https://www.prismy.io/chrome-extension Chrome Extension: https://chromewebstore.google.com/detail/dfihbmiabnaleedngje...

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, google, new · Missing: mac, agents, macos
95%95% 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: created · Missing: supports, reddit linkedin, podcasting
64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
34%34% 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 · Strong signals: arr · Missing: mrr, revenue, profit
16%16% 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.

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