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I

I created an eBook for Solidity job interviews

Hacker News

I created an eBook for Solidity job interviews

Wondering what a Web3 interview is like? Are you tired of getting rejected from your interviews? We curated a list of the 50 most common interview questions based on our 5+ years of industry experience. With this list, you'll be one step ahead of your competition, and you will finally land your dream job as a smart contract auditor, or protocol engineer. This was done by 2 veterans of the Web3 industry. Julien Klepatch (Web3 Youtube channel with 9M views), and Jackson Kelley (Ex-Amazon, Robinhood and smart contract auditor)

Visit productView on Hacker NewsFeb 15, 2023
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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
75%75% 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: 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: web3, smart · Missing: chat, crypto, cryptocurrency
18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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