Uniflow - A fast multipurpose workflow engine

Hacker News

Many workflow tools struggle to optimize for both long-term projects and short-term tasks with the necessary responsiveness. Additionally, these tools often come with too many features, complicating customization for specific service needs. We've developed a workflow engine that prioritizes performance while offering the flexibility of a low-code solution. Our engine is easily customizable to meet diverse service demands. Initially, we focused on nodes tailored for short-term tasks, with plans to expand to support long-term project management. With our workflow engine, you can seamlessly integrate API gateways and personalized user features into your applications. Currently, we have implemented the workflow execution engine and are gearing up to introduce GUI tools for extensive SaaS orchestration and customizable workflows. We welcome your questions and suggestions. Try it out and let us know what you think. Thank you for your interest!

Visit product View on Hacker NewsJul 12, 2024

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

83%83% 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, tasks, project management · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% 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: personal, way · Missing: mobile apps, ios, entrepreneurs

37%37% 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

27%27% 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 · Strong signals: introduce · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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