Remotely Good – AI-powered job platform for remote, mission-driven work

Hacker News

Hi HN! I’m Theresa, founder of Remotely Good, a one-stop platform to help people find remote and hybrid jobs with mission-driven orgs—nonprofits, campaigns, social enterprises, and public agencies. Remotely Good offers: -Curated job listings by salary, cause area, and location -AI-powered career tools (resume enhancer, job matching, cover letter gen, interview prep) -A coaching marketplace (coming soon!) for affordable 1:1 guidance -Volunteer roles, activism opps, org culture insights, and more I’ve built MVPs of several tools, and I’m now validating interest in upcoming features—including an AI voice career coach and more. I’m looking for at least 50 early users to sign up for premium access and beta tools at remotelygood.substack.com Feedback is gold—please check it out and fill out this short survey: https://form.jotform.com/251538756931062 Try it out: https://remotelygood.lovable.app Feedback survey: https://form.jotform.com/251538756931062 Twitter/IG: @remotely_good Would love your thoughts on: Are these tools actually helpful to social impact jobseekers? Any features I’m missing? How could I better reach first-gen and mission-driven users? Thanks for reading!

Visit product View on Hacker NewsJun 22, 2025

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4points

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

88%88% 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.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, soon, users · Missing: plus, intuitive, reviews

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released

27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, lovable · Missing: mac, agents, macos

15%15% predicted probability of success on Product Hunt, 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.

Correct prediction on native model

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