Go

Golang Cafe – Go Jobs Board – You Can Now Filter by Minimum Salary

Hacker News

Golang Cafe – Go Jobs Board – You Can Now Filter by Minimum Salary

Hi Everyone, I have been working on and off on Golang Cafe for a couple of years. Golang Cafe[0] is the first Go job board with no recruiters and clear salary ranges. Engineers apply directly to companies. There is always a developers section where you can submit your Go developer profile and get hired (for free)[1]. This weekend I have added a new feature. It's now possible to filter jobs by minimum compensation. So for example here's a list of all Go jobs paying at least $100,000+ a year[2]. The project is open source [3]. Any criticism is very welcome. [0] https://golang.cafe [1] https://golang.cafe/Golang-Developers [2] https://golang.cafe/Golang-Jobs-Paying-100000-USD-year [3] https://github.com/golang-cafe/golang.cafe

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Hacker NewsStrong engagement from HN community · Strong signals: open source, 000, io · Missing: https docs, excited, just released
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, open · Missing: mac, agents, macos
32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% 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
24%24% 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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