a SublimeText plugin that automatically builds anchors from pasted URLs

Hacker News

The PasteAnchor plugin allows the user to paste an URL to a Markdown or HTML file and to automatically get an anchor with the page title as link name. For example, pasting "http://www.quora.com/" to a Markdown file gives the following result: [Home - Quora](http://www.quora.com/) In addition to this, pasting links to threads of Hacker-News-like sites gives results that include two anchors: one for the thread and one for the related article. For example, pasting "https://news.ycombinator.com/item?id=5879203" to an HTML file gives the following result: <a href="http://jz13.java.no">JavaZone 2013</a> via <a href="https://news.ycombinator.com/item?id=5879203">Hacker News</a>

Visit product View on Hacker NewsJun 16, 2013

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: hacker news, io · Missing: https docs, excited, just released

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new · Missing: mac, agents, macos

33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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