I built an open-source project for Devs to raise funding for projects

Hacker News

Hi friends, first HN post so be nice, please I built Open Fundraise, an open-source project built to simplify the process of raising early funds for a project from family and friends. And close VCs This project is inspired by my belief that anyone, anywhere, should be able to raise funding for their project and accept payment seamlessly. That's why I'm thrilled to make Open Fundraise fully open source and available to all. And we've already used Open Fundraise for our pre-seed & the results have been fantastic. Builders can customize the round size, amounts, & UI/UX to suit their needs. Open Fundraise also allows developers to accept funding via wire or crypto (if they choose). And the entire process of sending Deck + Wire instructions to interested investors is automated. This is an optional feature If you're a founder or developer looking to raise funds for your project, give it a try. Remember, it's still a work in progress, so we welcome feedback, issues and pull requests, please.

Visit product View on Hacker NewsJan 9, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos

92%92% 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.

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

51%51% 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 · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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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