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ThisCouldBeMobile.com – make other people's sites responsive

Hacker News

ThisCouldBeMobile.com – make other people's sites responsive

As a front-end developer, when I see a website that doesn't look right on my phone, I think about how I would fix it. If it's something I'd use, such as a restaurant menu, I send their team a stylesheet which could fix it, but it's a really awkward e-mail ("hey, you should add this file to your website for me!") So I made a simple website that demos what their site will look like with this CSS file. http://ThisCouldBeMobile.com/and/awesome/1 On desktop: side-by-side comparison of mobile-sized iframes, link to syntax-highlighted CSS file On mobile: fixed toolbar with two views (original and edited) Make your own http://ThisCouldBeMobile.com/

Visit product View on Hacker NewsMar 10, 2016

Actual performance

3points

1comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

73%73% 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.

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

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

nativeThis product was originally launched on this platform.

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

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

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

18%18% 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.

Incorrect prediction on native model

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