Owen Parker's profile on Product Hunt

About

I spend a lot of time exploring AI tools, automations, and digital workflows that make online work faster, simpler, or just more interesting. I enjoy experimenting with new products early, testing different systems, and understanding how AI can actually be useful in everyday work instead of just sounding impressive online. Most of my curiosity comes from seeing how quickly technology changes the way people create, communicate, and work together. I’m usually testing prompts, building small automations, or exploring random AI products at odd hours because I wanted to “quickly try one thing.”

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Tastemaker

Tastemaker 5

Gone streaking 10

Gone streaking

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Forums

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11h ago

I blamed a title edit for a page dropping out of Google. It was back the next day.

On 16 Sep I rewrote the title of one of my blog posts, a case study guide on AI in manufacturing. Google recrawled it on 18 Sep at 07:06, and the same day Search Console moved it from indexed to crawled, currently not indexed.

I posted about it that day as if the edit had cost me the page. In my next daily report, on 19 Sep, it was listed as newly indexed again. I had not touched it.

p/htmldrag

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2d ago

HtmlDrag: finish your HTML pages visually

HtmlDrag is back on Product Hunt today.

Once you have an existing or AI-generated HTML page, there are often a few things left to fix: an image, some text, or part of the layout.

I built HtmlDrag to make that editing pass more direct. Upload or paste your HTML and make visual adjustments. When you want AI s help, select the elements you want to work on, describe the change, and review the result.

p/dungeonq-astra-safety-rehearsal

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3d ago

DungeonQ 0.14.0: inspect a lost write reply before retrying

Following Theodor s question on the previous walkthrough, I added a concrete interrupted-write case and a read-only recovery path.

What changed:

The operator can distinguish a verified canonical commit, an authenticated no-effect refusal, an unknown outcome and a conflicting request identity.

The participant and standalone MCP consumer can recover an already-saved result without sending another write.