Merit – Career mentorship for tech workers

Hacker News

Hello Hacker News! I built a free service where you can schedule 1:1 video mentorship calls with senior ICs and managers in software engineering, product management, and design. The goal is to remove barriers to building a professional network that can help you grow your career like building skills and getting referrals. Right now we’re limited to folks living or working in the US or Canada, but we’re working on expanding beyond that one day. Without logging in, you can browse mentors here: https://www.get-merit.com/mentors Between tech layoffs, hybrid work, and an uncertain industry outlook, I hope this can be a useful resource for you or someone you know, especially if you do not have a large professional network. I would love to hear your feedback!

Visit product View on Hacker NewsJan 30, 2023

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Actual performance

49points

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Launch Intel predictions

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

83%83% 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 NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

48%48% 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 · Strong signals: video · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

22%22% 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: arr · Missing: mrr, revenue, profit

15%15% 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.

Incorrect prediction on native model

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