Linkedin node not posting full output

Describe the problem/error/question

Hey everyone, I’m trying to make an automated Linkedin post generator that pulls topics from RSS feeds, and I’ve got it working successfully and producing output all the way up until it spits the data out to Linkedin. Which once it does that, it’s completely cut off as you can see here:

What is the error message (if any)?

N/A

Please share your workflow

Share the output returned by the last node

urn:li:share:7201933313232547840

But the LLM chain produces this output:

For years, the prevailing wisdom in the world of marketing technology (martech) has been quite straightforward: the fewer apps you have in your stack, the better. This perspective hinges on three main beliefs: reducing the number of apps will save money, create a better user experience, and improve governance control. \n\nIndeed, it's easy to see why this approach would garner support. After all, the CFO and CIO often advocate for trimming excess from the martech stack to optimize costs and governance. It seems logical, right? Fewer apps should mean less complexity and lower expenses. However, the latest insights from *The State of Martech 2024* report reveal some surprising truths that challenge this accepted notion.\n\nDuring #MartechDay on May 7th, Scott Brinker from Chiefmartec.com unveiled some counterintuitive insights about composable martech stacks, disrupting the conventional wisdom. Here are three key surprises from the report:\n\n**1. A Diverse Martech Stack Could Enhance Flexibility and Innovation**\n\nWhen we think of a martech stack that's overloaded with applications, we typically envision chaos and inefficiency. However, a composable martech stack, characterized by a diverse array of specialized tools, can actually promote flexibility and innovation. By leveraging a broad spectrum of applications, organizations can tailor their technology stack to suit specific needs, facilitating more agile responses to market changes and customer demands. \n\nThe complexity that comes with a larger stack may seem daunting, but the potential for bespoke solutions and rapid innovation can far outweigh the complexities. Composable stacks allow marketers to experiment with new technologies more readily, integrating and iterating without being hampered by the constraints of a monolithic system. This flexibility opens the door to more creative and effective marketing strategies, ultimately driving better results.\n\n**2. Economies of Scale in Software Licensing May Not Apply**\n\nThe traditional rationale has been that fewer apps equate to cost savings, thanks to reduced licensing fees and simpler maintenance. However, the report reveals that economies of scale in software licensing aren’t as straightforward as they appear. Fragmenting your martech stack may actually lead to better financial efficiency.\n\nSeveral specialized, smaller-scale applications can sometimes be more cost-effective than an all-encompassing, large-scale solution. Furthermore, negotiating contracts and fees for smaller, niche applications can provide more favorable terms compared to the bundled costs of large suites. Organizations should consider the true cost-benefit analysis of their martech investments, taking into account the value each application brings relative to its cost.\n\n**3. Improved Governance Through Decentralization**\n\nA lean martech stack promises improved governance, with fewer applications making it easier to manage data security and compliance. However, decentralizing your martech strategy through a composable stack can actually enhance governance.\n\nBy distributing functions across various specialized apps, you can achieve better oversight and control over different aspects of your data and processes. Each specialized tool can adhere to its unique compliance requirements and governance protocols, reducing the risk associated with a single point of failure. Additionally, this approach allows for more granular control and transparency, as each application operates within a clearly defined scope.\n\nOf course, this doesn’t diminish the importance of robust integration and communication channels between tools. A well-orchestrated composable stack, aided by strong governance frameworks, can provide an optimal balance between flexibility, security, and control.\n\n🚀 The landscape of martech is evolving rapidly, driven by continuous innovations and the imperative to stay ahead in a competitive market. As we can see from *The State of Martech 2024* report, sometimes conventional wisdom needs a reality check.\n\nIn conclusion, the idea of reducing apps in your martech stack as a universal solution is losing its hold. Organizations are recognizing the potential benefits of a more varied, composable approach: enhanced flexibility, financial efficiency, and improved governance through decentralization. These revelations are a powerful reminder that strategy in technology isn’t always about minimizing complexity but optimizing the potential of what is available.\n\nAs we navigate the complexities of modern marketing technology, let’s remain open to counterintuitive, yet insightful, approaches that challenge norms and drive sustained success.\n\n#innovation #linkedin #technology #entrepreneurship #marketing #advertisingandmarketing #education #sales #strategy #projectmanagement #business #leadership #ai #llms #machinelearning #marketingresearch	

Information on your n8n setup

  • n8n version: 1.41.1
  • Database (default: SQLite): SQLite
  • Running n8n via (Docker, npm, n8n cloud, desktop app): Docker on Linode
  • Operating system: Debian

+1 I have the same issue.

Seems like the issue will be the ( character. My output also had the same character and the text before got posted. @jdbohrman seems like to have the same issue. His text got posted until the first ( character.

1 Like

+1
I have a similar error. I have a post of 2410 characters and on the linkedin post I only have the beginning which is 585 characters…
Does anyone else have this type of problem?

+1 same here, cuts off when using the “(” character.

Forgot to update this post earlier today, it looks like we missed this as it was previously marked as having a solution, we will need to update our checks for that as it looks like the solution tag was removed.

I have started looking into this and it should be fixed soon, @jonmunson also created a GitHub issue for this which I have closed so we can keep the chatter around this issue in one place instead of having bits of it in multiple locations.

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I have put in a PR for this which can be found below, Once reviewed it will be merged and available in a future release.

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New version [email protected] got released which includes the GitHub PR 10185.

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Can confirm this has sorted the issue. Thanks team!

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