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An IRC channel to help people find jobs

Hacker News

An IRC channel to help people find jobs

I had an idea a couple days ago and I went with it. Basically, the idea was to create an IRC channel to help people find jobs; computer related jobs, in particular. There would be a bot to display job listings. So I started working on a first take on the bot. I decided to use Python because I love the language and I wanted to get more experience with a its libraries. TwitterBot (or JobFeeder on ##jobfeed) as I call it, uses Twisted (https://pypi.python.org/pypi/Twisted) and Twitter (https://pypi.python.org/pypi/twitter)for now. Basically, it gets the home timeline of the Twitter account I made for it, checks for updates, and sends them to the channel. There is still plenty of work to be done before the bot itself is complete (though an open source project is never really done). I need to comment the code better or OldCoder (a good friend of mine) is going to point that out. Another friend of mine says that I should allow users to "register" for certain types of jobs and this is a good idea. If you have other ideas on how to improve the bot, please open an issue on GitHub or email me at: j.horne2796@gmail.com If you want to have your own bot join the channel, PM JesseH on Freenode and ask me. If you have a Twitter account that posts jobs and want them to be sent to the channel, just /join ##jobfeed and tell me about it. I am pretty open minded to ideas. I hope that this community continues to grow and that it might help people one day. ##jobfeed on Freenode https://github.com/jessehorne/twitterbot

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
64%64% 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: open source, ide · Missing: https docs, excited, just released
51%51% 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: user, computer, email · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
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.

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