Multiwoven – Open-Source Data Activation Platform – Ruby on Rails

Hacker News

Hey HN, I’m open sourcing Multiwoven, a platform to move data from Data warehouses to Business tools like Salesfore, Braze, etc. It’s a Full-stack open-source app built with Ruby on Rails, React, and Postgres. Ruby has always been my favorite to get things done quickly and move fast. At the same time, Keeping scalability in mind, We've decided to use Temporal for durable workflows. With Mutliwoven, - You can move customer data from your data warehouse to your business tools with a few clicks. - You can extend the platform to support new data sources and destinations. - You can self-host the platform and have full control over your data. It's more easier to explain with some code, so pop over to the Github if you’re interested in trying it out: Github: https://github.com/Multiwoven/multiwoven Would love to hear your thoughts and feedback.

Visit product View on Hacker NewsFeb 27, 2024

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

96%96% 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: ide, io · Missing: https docs, excited, just released

81%81% 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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

15%15% 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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