Jobs Scraper for Workatastartup.com

Hacker News

This command-line job searching tool scrapes online listings, and compares it with your resume+preferences to find matches using AI (custom prompts + OpenAI LLM) A few months I posted it here ( https://news.ycombinator.com/item?id=39621373 ). There have been quite a few improvements since then And now I'm very happy and thankful to tell you, that some contributors have added workatastartup.com as a listings source for CommandJobs So now you can also find matches among the public workatastartup.com/jobs listings Here's the direct link to the repo: https://github.com/nicobrenner/commandjobs PS: Job listing sources contributions are open and welcome, checkout issue #23

Visit product View on Hacker NewsJun 12, 2024

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Actual performance

2points

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Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month · 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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

19%19% predicted probability of success on Product Hunt, 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 · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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