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Build a business from an open source project using Gitwallet

Hacker News

Build a business from an open source project using Gitwallet

Gitwallet is a set tools to make it easier for people to setup a business around an open source project. Here's what you get out of the box: 1. Easy to setup commercial offerings tied to a GitHub project, like paid support, consulting or training (we provide the default legal contracts for some of these and will add more). 2. Tools to promote your services like Landing pages and Embeds for your Github. 3. Research tools to find customers that are using your open source projects. This is a actionable view of your dependents graph, and works best for projects that are distributed through a package manager. 4. Light CRM, reporting and contract management. These will eventually integrate with the best in class CRM, reporting and analytics tools. Some more notes on our thinking: https://blog.gitwallet.co/ . We think that there should be a better way for more commerce to happen around open source projects and ecosystems. We're looking for feedback from folks within and around open source - this could be existing maintainers, contributors, and indie developers that are considering building a business around their project or expertise. Thank you for your time & feedback!

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Actual performance

15points
2comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, notes, open · Missing: mac, agents, macos
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, existing · Missing: https docs, excited, just released
73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · 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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