feat(blog): add lablab hackathon success stories part 6 - #1081
Merged
Stephen-Kimoi merged 2 commits intoSep 23, 2026
Merged
Stephen-Kimoi merged 2 commits into
Stephen-Kimoi merged 2 commits into
Conversation
There was a problem hiding this comment.
Copilot review overview
🟡 Changes recommended
Resolve the broken or unverified Part 5 link, author attribution, and automation-library typo.
Get a fresh assessment by requesting another Copilot review.
Review effort: Lite
Findings: 2
Open (2)
What changed in this PR
Adds Part 6 of the AI Hackathon Success Stories blog series, profiling five AI projects and their technical approaches.
Changes:
- Adds a new success-stories article with frontmatter.
- Covers OmniSight, ConsumerIQ, HomeStar, DeployGuard, and Automato.
- Includes project links, series references, and cover-image metadata.
- Review notes: verify the Part 5 link, correct
pygetuitopyautogui, and confirm the intended author profile.
| File | Description |
|---|---|
blog/en/lablab-hackathon-success-stories-part-6.mdx |
New Part 6 article with builder profiles, technical details, links, and frontmatter. |
💡 Add a code-review agent skill or configure MCP servers for context-aware, tailored reviews. Learn more in the docs.
| title: "AI Hackathon Success Stories (Part 6): Five Builders Who Replaced Guesswork with Ground-Truth Execution" | ||
| description: "AI hackathon success stories: five builders who turned AI models into ground-truth systems. OmniSight, ConsumerIQ, HomeStar, DeployGuard, and Automato." | ||
| image: "https://imagedelivery.net/K11gkZF3xaVyYzFESMdWIQ/3801a09d-3a8f-49ed-15ea-30145e734200/public" | ||
| authorUsername: "hamza13525223081" |
|
|
||
| At the AMD Developer Hackathon, Jhon Anthoric Concepcion and Team BISAKOLAI set out to build an automation platform that does not rely on fragile code selectors. | ||
|
|
||
| Automato is a vision-native RPA platform designed to interact with software the same way human operators do: through sight. Rather than scraping HTML trees or relying on brittle APIs, Automato visually scans desktop applications and issues physical OS mouse clicks and keystrokes via `pygetui`. If an interface element is visible to a human eye, Automato can interact with it. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Overview
Adds Part 6 of the AI Hackathon Success Stories series to the Lablab blog:
"Five Builders Who Replaced Guesswork with Ground-Truth Execution"
This edition focuses on teams that moved beyond conversational chat wrappers to build deterministic, ground-truth autonomous systems and market validation engines.
Featured Builders & Projects:
Verification & Editorial Checklist:
@hamza13525223081.3801a09d-3a8f-49ed-15ea-30145e734200) so builds pass cleanly. Ready to update once the final cover URL is shared by the design team EOD.Proposed