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Coderoulette, a pair programming game for developers

Hacker News

Coderoulette, a pair programming game for developers

Hello everyone, We just launched a side-project we have been building over the last couple of months -- Coderoulette is a pair programming game for developers, like a Chatroulette for hackers. We match developers in real time and give them coding challenges they have to solve doing pair programming using a collaborative IDE and video conference. You can check it out here: https://www.coderoulette.com/ We also published an article explaining how we built it. I'd love to hear your feedback. https://medium.com/@miriammuros/how-we-built-coderoulette-a-collaborative-learning-experiment-cc023bbff88f

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Actual performance

42points
9comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: using, coding, code · Missing: mac, agents, macos
59%59% 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.
TrustMRRLess likely to generate early MRR · Strong signals: video, month · Missing: mobile apps, ios, personal
40%40% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, real time · Missing: web3, crypto, cryptocurrency
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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