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Turn Dropbox in a CMS

Hacker News

Turn Dropbox in a CMS

The majority of CMS's are overkill for a simple 10 page website. Deploying with Cloud Cannon takes a few steps. * Drag static website files into Dropbox to deploy * Add class of "editable" to any div in the HTML to setup CMS * Simple content editor for your clients with no branding and requires no registration * All websites are automatically compressed periodically (CSS & Javascript minified, all assets served from CDN). Static websites are becoming super powerful with 3rd party applications such as Firebase, Disqus and Wufoo. We want to be a big part of this static website ecosystem. All feedback is welcome. http://cloudcannon.com

Visit product View on Hacker NewsJul 1, 2013

Actual performance

8points

5comments

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

83%83% 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 · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 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.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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.

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

23%23% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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