OpenPledge – Make a career with Open Source contributions

Hacker News

Hey! As a full-stack developer involved in world of open source, I've often encountered valuable repositories with solutions to my problems, only to find them abandoned for years. Faced with the dilemma of contributing to such projects during work hours, I thought of a solution. That's when the concept of OpenPledge was born — a web platform designed to address this very issue by allowing users (or corporations) to financially support specific open source issues. Imagine, no more abandoned projects, and developers passionate about contributing to open source can now do so more seamlessly and as a full time job. OpenPledge has secured investment, and we're set to launch in February. Join us in shaping the future of open source sustainability. Share your ideas, be an early adopter, and contribute to a thriving open source community. Visit https://openpledge.io?source=hn2 now!

Visit product View on Hacker NewsJan 21, 2024

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

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

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

63%63% 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: user, open · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% 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

12%12% 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

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

Correct prediction on native model

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