3400 remote tech jobs from companies with a 3.5 rating on Greenhouse

Hacker News

Hello there HN, I'm Tony, software developer for the past 16 years. Since covid I've been working remotely (and loving it) but so many of my friends/family have been forced to go back to the office. I've told them to go find another remote job but when I had a look at what's out there the visibility on who you're actually applying to is crap on all of the job boards. So I built a job board that only has remote jobs from companies that have a high rating on Greenhouse (3.5+ stars). This way you never have to worry about the workplace you're applying to. Hope it helps others find good jobs too. Tony

Visit product View on Hacker NewsNov 21, 2025

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1points

Did not reach leaderboard

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Hacker NewsStrong engagement from HN community · 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.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

36%36% 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

30%30% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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