Write the best headline for your content with this simple app

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This was inspired by Upworthy's advice [0] that for you to discover the best headline for your content, you must force yourself to write 25 of them and the best will jump out at you. So yeah, you can do this in a text editor, or a spreadsheet, or whatever, but I had a spare evening and I wanted to cut my teeth on Facebook's React JS library. I picked a simple example and set to work. The end result is this little app. I like the idea of distraction-free writing, and a simple list-style app with no visual clutter seemed like a nice environment to write headlines. I got a jump-start by looking at the React TodoMVC example [1], then creating a simple build process with grunt & browserify (which I've now extracted into a starter project for others to use [2]). I have to say I really like React and a lot of the design decisions it's made, although writing in the pseudo-JS syntax (JSX) took a little getting used to, but was made easier with a code highlighting plugin for Sublime. Have a play, and let me know what you think! http://colin-gourlay.com/25headlines/ [0]: http://www.slideshare.net/Upworthy/upworthy-10-ways-to-win-the-internets [1]: http://todomvc.com/labs/architecture-examples/react/ [2]: https://github.com/colingourlay/grunt-init-browserify-react-stylus

Visit product View on Hacker NewsDec 10, 2013

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

81%81% 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.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: visual, code · Missing: mac, agents, macos

55%55% 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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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.

Correct prediction on native model

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