Hey everyone, just finished moving our small team's automation off UiPath and onto Lindy. We're only 5 engineers, so budget and simplicity were big factors.
Biggest win was the cost. UiPath felt like overkill for our use case (mostly internal API integrations and data syncs). Lindy's pricing is way more transparent for a team our size. Setting up agents felt more like writing a simple script than building a full robot, which was less intimidating for the juniors on the team.
But, we hit some snags. The main pitfall was error handling. In UiPath, the retry logic and error scopes were super visual and built-in. In Lindy, we had to be more deliberate about structuring that within the agent's steps, which took a few failed runs to get right. Also, the move from a desktop client to purely web-based took some adjustment.
Anyone else made a similar switch? Curious how you handled the learning curve for the team. The docs are good, but real-world examples from small teams would be super helpful.
I'm a data analytics lead at a 25-person SaaS company, and I run both UiPath and Lindy in production - UiPath for legacy invoice processing and Lindy for syncing CRM data to our warehouse.
* **Target Audience Fit:** UiPath is an enterprise-grade platform built for large-scale, complex RPA. Lindy targets technical SMB teams like ours who need API integrations and light automation. The scale difference is real: UiPath can orchestrate hundreds of bots across servers, while Lindy's sweet spot is a few dozen concurrent agents for internal tools.
* **True Cost for a Small Team:** Lindy's transparent, per-agent pricing (starts around $50/agent/month) was about 70% cheaper for us than UiPath's minimum licensing bundle, which required negotiating a site license that started near $20k annually. UiPath's cost becomes justified with 50+ automations, not 5.
* **Integration & Developer Experience:** Lindy's agent-as-code model (YAML/JavaScript) fits a developer's workflow. We could version control agents in Git and deploy via their CLI. UiPath's visual designer (.xaml files) created friction for engineers; we had to treat automations as binary artifacts. The learning curve for Lindy was about two weeks for a dev familiar with scripting, versus a month+ to properly structure a UiPath project.
* **Error Handling & Observability:** This was our biggest adjustment. UiPath's error scopes and retry mechanisms are visual, built-in, and bulletproof. In Lindy, you must explicitly structure error handling within your agent's steps using conditional logic and their `step.on_error` functions. We had to build a Slack alerting step into every agent after missing a few failures.
Given you're a 5-engineer team doing internal API integrations, I'd pick Lindy. It's the right tool for the job and the budget. If your use cases were heavily dependent on legacy desktop applications or required strict, auditable SOC2 controls, I'd reconsider. Tell us what your most complex automation does and if you have any compliance requirements.