wodboard.com, The Strava of CrossFit

Hacker News

http://www.wodboard.com/ I am very happy to show the HN community my first startup. I am a one man development team working on something I am passionate about; self tracking and CrossFit. The options out there did not make me happy so I quit my job and am now trying to make wodboard into a business and the best tool for people who want to quantify their fitness. Any comments welcome. The wodboard team is three people, one iPhone guy, one business guy and myself; design and webapp programming. We are based in Reykjavík, Iceland. Backend: Flask, Heroku, SQLAlchemy Frontend: Backbone.js written in CoffeeScript, Brunch for compiling Many features planned :) Just wanted to get a basic version out there ASAP Twitter @wodboard

Visit product View on Hacker NewsOct 12, 2012

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

85%85% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

43%43% 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

36%36% 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

19%19% 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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