Muchhire.dev – open-source job board and community

Hacker News

So this was a weekend project that I started last friday night and figured it could turn into much more. Before this project ends up in my endless bag of procrastination, I'd like to share it with you guys. muchhire.dev is a free and open-source job board + community project with the goal to provide tools to help talented people find work. As you can tell, I'm no designer, but I'd like to be. If anyone has any tips on learning design, let me know. In the meantime, I plan on adding the following features soon™... 1. Newsletter that sends relevant job postings to subscribers as they happen (or in batches) 2. Discord bot that sends updates to the relevant Discord channel when job posts happen 3. Partner program where companies can get instant-approval on their posts, featured posts, and more direct access to participating job seekers. p.s If you're new to web development and would like to learn, this project is pretty friendly and I would definitely be willing to mentor you. I've been working primarily in the backend for the past few years, though, so don't expect me to teach you how to write awesome UIs. Much love HN! https://muchhire.dev/ https://github.com/muchhire/muchhire.dev https://discord.gg/emjFktKXKG

Visit product View on Hacker NewsMar 19, 2021

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

71%71% 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 HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · 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 · Strong signals: friendly, soon · Missing: plus, platform, intuitive

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

Acquire.comPre-revenue stage for this audience · Strong signals: subscribers · Missing: arr, mrr, revenue

21%21% 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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