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Daily-Updated Lists of Canadian CS Internships and New Grad Roles

Hacker News

Daily-Updated Lists of Canadian CS Internships and New Grad Roles

Hi HN! I'm a McGill CS undergraduate and an international student. I've built two GitHub repositories that are automatically updated daily with Canadian tech opportunities: Internships: https://github.com/hanzili/canada_sde_intern_position New Grad Roles: https://github.com/hanzili/canada_sde_junior_new_grad_positi... Both include direct application links and company details. I created these to help myself and others (international students, Canadian students, new grads) find opportunities in Canada more easily. Feedback and contributions are welcome!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting
38%38% predicted probability of success on Indie Hackers, 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
30%30% 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 HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
17%17% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: sde · Missing: arr, mrr, revenue
14%14% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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