Explore careers that you don't know even exist

Hacker News

"Excited to launch CareerGPT.ai on Hacker news today! We're on a mission to help people ..yada...yada" No, that's ChatGPT's writing, not mine :) Folks, I was a PhD student once, in a non-home country, and just wished to know what was it like to go and work in the industry, being a programmer, or started a company. Torn apart between choices, I just wished there was a totally unbiased counselor to talk to. I couldn't do that with my supervisor since he always encouraged me to finish the thesis (of course). Heck, had ChatGPT exist back then, I would have had more infos and made decision easier. So why not launching one, on the back of the collective "intelligence" and "creativity" of large language model. About building the product: Yes, I call OpenAI's API, but need to do some 'prompt engineering', updating temperature along the conversation. Just tell me what you think. Thanks.

Visit product View on Hacker NewsFeb 15, 2023

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88points

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

88%88% 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 HuntOn track for Day 1 leaderboard · Strong signals: model, new, chatgpt · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, hacker news · Missing: https docs, just released, lua

68%68% 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: way · Missing: mobile apps, ios, personal

50%50% 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

23%23% 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

14%14% 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 · 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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