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Platform for open source project – SaaS that funds its contributors

Hacker News

Platform for open source project – SaaS that funds its contributors

TLDR; https://staroid.com is a platform for open-source projects that funds contributors. # Open-source and SaaS Source code and the binary package has been two primary delivery mechanism for Open-source projects. They were probably okay for users 10 years ago, but cloud-based SaaS became the more preferable way nowadays. However, open-source communities don't have the capability of doing SaaS. Instead, 3rd party companies are providing doing it. Especially, cloud platforms, such as AWS, are in an extremely favorable position. They can just plug-in one more open-source project to their platform when it becomes popular. (e.g. ElasticSearch, MongoDB) # Capturing value The value created by a software project is usually captured when it is getting delivered. Not when it is being written. (especially the financial value) Open-source communities don't deliver SaaS, thus they don't capture the majority of the value (maybe get some donations), 3rd party companies who do captures the majority of the value (like subscription, usage charge). # Problem Captured value from those 3rd party companies goes to their shareholders and employees, not the actual contributors. Contributors can start a company to become a shareholder, but still, - still, not all contributors become shareholders or employees of a company who captures the value - you have to spend time on SaaS delivery mechanism instead of focusing on the open-source itself. # staroid.com https://staroid.com is a cloud platform for open-source projects. Here's how it works - Release project by commit 'staroid.yaml' that tells how to build and capture value. - Users launch the project and pay. - Contributors are funded based on value captured from the project. Therefore open-source communities can provide SaaS without 3rd party company and contributors directly capture the majority value when users use the project. What do you think?

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
90%90% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, using, code · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
65%65% 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: users, way · Missing: mobile apps, ios, personal
49%49% 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
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas, subscription · Missing: arr, mrr, revenue
17%17% 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.

Incorrect prediction on native model

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