Wo

Workflow automation and collaborative document editing tools

Hacker News

Workflow automation and collaborative document editing tools

I have been a daily HN reader and would like to use this as a starting point to show SimWorkflow so that the HN community can get to know SimWorkflow. This project has been the love child of myself for the past year or so. A bit of background: Previously, I worked as a consultant specializing in designing, implementing, and maintaining Business Process Management and Content Management Solutions. I was surprised at the effort required to implement such solutions; specifically, the time it took, the number of people involved, and the amount of custom code. I thought: What if we could make this easier and make it work with HTTP APIs? So SimWorkflow was eventually born from it. Please feel free to ask any questions. Your feedback is extremely valued, so please let me know what you think! To get started, a new SimWorkflow account comes with an Issue Management solution. Thanks, Tai

Visit product View on Hacker NewsFeb 13, 2024

Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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

71%71% 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: new, code, apis · 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

64%64% 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

47%47% 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

40%40% 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

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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