This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Machina
Open-source AI dev tools that learn your workflow
Free, open-source tools that close the gap between "I see the bug" and "the AI fixes it." π BugCapture β screen + audio recording β AI-readymd with screenshots + Whisper transcript. Drop into Claude or Copilot; the AI understands the bug immediately. π§ LearnBoard β persistent AI memory via LEARNING.md. Sessions get smarter over time. π¨ PromptBoard β drag-and-drop canvas for building AI prompts visually. Try in-browser at machina.chat. MIT licensed, runs locally.
Hey PH! π I'm Alex, the developer behind Machina.
I built these tools out of frustration. I use AI agents (Claude, Copilot) every day for debugging, but I kept running into the same friction:
β’ The AI doesn't remember what it learned last session
β’ Explaining a bug in a text box loses all the visual context
β’ Assembling the right context before each session takes 10β15 minutes
Each tool solves one specific piece of that problem. They're designed to work together, but each one is useful standalone.
The thing I'm most proud of is LearnBoard β it turns AI sessions into a feedback loop. The agent writes lessons back to LEARNING.md, and starts the next session already knowing your stack, preferences, and past mistakes. After 4 months of daily use, my AI makes suggestions my junior self would've spent hours googling.
Happy to answer anything about the architecture, the voice cascade implementation, or why I chose local Whisper over cloud APIs. Ask me anything! π
About Machina on Product Hunt
βOpen-source AI dev tools that learn your workflowβ
Machina was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #160 on the daily leaderboard. Free, open-source tools that close the gap between "I see the bug" and "the AI fixes it." π BugCapture β screen + audio recording β AI-readymd with screenshots + Whisper transcript. Drop into Claude or Copilot; the AI understands the bug immediately. π§ LearnBoard β persistent AI memory via LEARNING.md. Sessions get smarter over time. π¨ PromptBoard β drag-and-drop canvas for building AI prompts visually. Try in-browser at machina.chat. MIT licensed, runs locally.
On the analytics side, Machina competes within Open Source, Developer Tools and Artificial Intelligence β topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Machina performed against the three products that launched closest to it on the same day.
Who hunted Machina?
Machina was hunted by Alex WMB. A βhunterβ on Product Hunt is the community member who submits a product to the platform β uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Machina including community comment highlights and product details, visit the product overview.
Alex WMB