Find and Replace Browser Extension for Blogging and Text Editing

Hacker News

When you're blogging, writing WordPress content, composing long emails, or even writing here on Reddit, when your text becomes long enough and you suddenly need to replace a phrase in your text with another phrase, this extension allows you to do that with one click (similar to find & replace in, say, Google Docs). You can also define text templates that you can later insert with a single click (this could be a blog template, an email signature, some HR email templates, or anything you can think of that you need to reuse often... Chrome version: https://chrome.google.com/webstore/detail/find-replace-for-t... Firefox version: https://addons.mozilla.org/en-GB/firefox/addon/find-replace-...

Visit product View on Hacker NewsDec 17, 2017

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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.

best fitHighest predicted score across all platforms for this description.

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

56%56% 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.

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

43%43% predicted probability of success on TrustMRR, 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

38%38% 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

22%22% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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