Yo

Your private and open-source Salesforce-like application platform

Hacker News

Your private and open-source Salesforce-like application platform

Tl;DR Save 60% of development effort building your SaaS and enterprise apps using our Java/JS open-source platform GITHUB: https://github.com/openkoda/openkoda DEMO: https://www.youtube.com/watch?v=gob4j072Isg Insurance Policy Management System template: https://openkoda.com/insurance-policy-management-software/ Property Management System template: https://openkoda.com/property-management-software/ We are Michael and Arek, and we have just recently published Openkoda - our open-source low-code platform for the rapid development of SaaS and enterprise applications. We met at the university and spent the next 10 years building high-performance applications for finance, eCommerce and travel sectors, while working at different companies. Enterprise applications have a lot of common logic which we had to re-implement almost every single time in different configurations. At some point, we realized that by compiling all these lessons, we could build a solid and proven foundation for creating SaaS and enterprise applications. We added a few fancy features to help us build our own products like Javascript-based low-code extensions running on GraalVM, data quering using natural language, Stripe payments, plus other popular integrations. And that's how Openkoda was born. Openkoda is based on modern Java (still the primary choice in enterprise companies) and PostgreSQL. You can build your apps on top of Openkoda with Java, server-side Javascript extensions or anything else running on a JVM. We decided to release the core under the MIT license, and selected enterprise features under a commercial license. We believe that building large-scale SaaS and enterprise applications should be easier and faster. Easier, so we don't need to reinvent the "enterprise wheel" every single time. Faster, as the real business value of our applications is not in these "enterprise features," but in the actual application logic. Enterprise features are just the required coating to run this logic in a controlled, sustainable way. We believe that providing developers with a robust open-source application foundation, coupled with the flexibility to customize and expand upon it according to their needs, offers the best of both worlds. ASKING FOR YOUR HELP We are working hard on building two things now: a) a partner network and onboarding software vendors to use Openkoda in their software projects. b) our managed cloud service where we can host Openkoda applications for business clients. We would be super thankful for any introductions to people/companies who may be interested in: a) building their own products faster in Java, b) looking for flexible software solutions they could customize without falling into the low-code trap.

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
96%96% 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.
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.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, stripe, single · Missing: mac, agents, macos
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, way · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus, platform, host · Missing: intuitive, reviews, exclusive
32%32% 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 · Missing: arr, mrr, revenue
13%13% 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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