Launch HN: Minicor (YC P26) – Windows desktop automations at scale

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Summary

Minicor is a Y Combinator-backed platform that deploys self-healing AI agents for scalable desktop automations, enabling integration with legacy systems lacking APIs.

Hey we’re Faiz and Saheed and we built Minicor so AI companies who need to integrate to desktop systems with no API can quickly build scalable desktop RPAs. Demo: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=MD0GHZIJ1cw" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=MD0GHZIJ1cw</a><p>We were working on non-RPA integrations when a customer promised to sign a deal in 2 days if we could unblock a sale of theirs that involved integrating with a clinic’s Windows based medical record system. We didn’t know it at the time but it turns out that building desktop RPAs at scale is extremely difficult because scripting is hard (learning the system, defining the automation, UIs changing constantly), orchestration is hard (is the VM up? queuing, parallelizing) and debugging is hard (zero observability, false positives, cascading failures). 30%+ failure rates are not uncommon. At scale we’ve seen cases of failed RPAs leading to thousands of support tickets a month.<p>To solve the problems we were facing, we built an MCP that Claude Code&#x2F;Codex can use to navigate a virtual machine running desktop software with Python to create RPA workflows. The RPA workflows run as Python scripts for speed, cost, and determinism. These workflows can be triggered by API following any input&#x2F;output schema specified, with video replays and logs stored with each run. The MCP can debug RPAs and make changes to the underlying code, all of which are version controlled. We also built tools for cloning VMs for parallelizing RPAs, and handling 2FA&#x2F;OTP challenges. Plus since workflows are code based: we were also able to add triggers for Slack notifications, human-in-the-loop steps, or call an LLM to verify the state of a VM by passing a screenshot.<p>Would love to hear your feedback and if you have any RPA horror stories! (:
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# Minicor | Scalable Desktop Automations Source: [https://www.minicor.com/](https://www.minicor.com/) [![Minicor](https://www.minicor.com/images/logo-minicor.svg)](https://www.minicor.com/) ## **Go Live With Any Customer** The RPA platform for deploying AI into legacy systems [Book a Demo](https://www.minicor.com/book-demo) In production with ## Build RPA in minutes Radically reduce error rates with self\-healing agents\. Unlock Growth ## Minicor builds and maintains desktop automations so your teams can focus on closing deals and shipping product\. 01 ### Self\-Healing Agents When a UI changes or an unexpected dialog appears, the agent catches it, adapts, and keeps going\. A reflection agent verifies every action against what's on screen and self\-corrects before the workflow breaks\. No more rebuilding scripts every time a vendor ships an update\. Writing RPAs isn't hard\. Maintenance is the killer\. 02 ### Deploy Anywhere Computer use agents that run on Windows VMs or in the browser\. On\-premise, cloud, or Citrix\. One API call triggers execution\. Same architecture running in production at 25,000 patients/day\. 03 ### Built\-in Observability Replay full video recordings of every automation run\. Get failure notifications directly in Slack\. Debug with screenshots and full execution context instead of guessing\. Debug with context, not guesswork\. Under the Hood ## How Minicor Works From API call to desktop automation running on a Windows VM\. Here's what happens under the hood\. ## Ready to Unblock Your Pipeline? Customers go from zero to production in days\. If RPAs are holding you back, let's talk\. Or just email us at[connect@minicor\.com](mailto:[email protected]) ## Frequently Asked Questions Minicor is a platform for building and running desktop automations at scale with computer use agents\. AI companies selling into healthcare, automotive, logistics, and financial services need to read and write to their customers' systems of record\. These are old desktop applications with no APIs\. Minicor automates them reliably so companies can go live in weeks\. Most legacy desktop systems like EHRs, ERPs, DMS, and PMS have no writable API and never will\. Some vendors are actively restricting third\-party API access\. The only way to read or write data is to interact with the desktop like a human would\. That is the problem Minicor solves\. Building one RPA is not hard\. Running hundreds reliably is\. UIs change, edge cases pile up, errors cascade\. At scale, even small error rates become catastrophic\. Engineering teams end up spending all their time maintaining automations instead of building their core product\. Traditional RPA vendors use brittle scripts that break when UIs change\. Computer use models work for demos but fall apart in production at 80\-85% accuracy because they figure everything out from scratch every time\. Minicor stores automation as deterministic code and uses the agent only for recovery and edge cases\. Faster and more accurate in production\. Minicor self\-heals\. A reflection agent verifies every action against what is on screen and self\-corrects before mistakes cascade\. When a vendor ships a UI update, the automation adapts instead of crashing\. 93\-96% click accuracy vs 80\-85% for other approaches\. Zero to production in weeks\. Install our Desktop Client, record a video of a human performing the workflow, and we handle everything after that\. Traditional RPA and integration approaches typically take 4 or more months\. Yes\. SOC 2 Type II certified and HIPAA compliant\. For on\-premise deployments, the entire platform is containerized and runs inside your network\. No data leaves your perimeter\. Any legacy desktop or web application\. Healthcare EMRs like Athena, Epic, Cerner, and PS Suite\. Dental PMS like Open Dental and Dental Vision\. Automotive DMS like CDK Global\. Supply chain systems like SAP and HighJump\. Home health systems like Wellsky and Home Care HomeBase\. Financial services platforms for claims, banking, and underwriting\.

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