chessable, correspondence chess for modern devices

Hacker News

https://www.chessable.co.uk chessable is a side project I’ve been working on, and it has grown into an MVP of sorts, though it's really more of an experiment. It's a correspondence chess web application that makes use of a responsive design. The aim is for it to work well on modern mobile & desktop browsers, so that users can fit casual games of chess into a busy, mobile, schedule. I submitted it on Hackful Europe (http://hackful.com/posts/442) about a month ago, but I’ve managed to get some time this weekend to update it and so I’m posting it here now. Any feedback, thoughts, or suggestions would be very welcome. Thanks, Austin

Visit product View on Hacker NewsMar 18, 2012

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1points

4comments

Did not reach leaderboard

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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

52%52% 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: month, users · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% 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

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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