Continuing to build GhanaHousePlanner https://ghanahouseplanner.com/, currently focused on enhancing the cost accuracy and constraint solver for the generated house floorplans.
Readit Newsggap commented on Ask HN: What are you working on? (January 2026) · Posted by u/david927
ggap commented on MediaReduce — E-commerce Image Automation & Compliance Platform mediareduce.com/... · Posted by u/ggap
MediaReduce is a SaaS platform that helps e-commerce sellers and brands automate product image processing to meet marketplace requirements for Amazon, Shopify, Etsy, and Google Shopping.
Instead of manual editing or one-off AI tools, MediaReduce provides workflow-based image automation that delivers consistent, professional, and marketplace-ready results at scale.
What MediaReduce does
- Automates product image compliance (dimensions, formats, backgrounds, file size)
- Provides prebuilt workflow templates for Amazon sellers, Shopify merchants, and e-commerce teams
- Enables bulk processing with predictable, repeatable output
- Powers a Shopify App that processes and replaces images directly inside Shopify Admin
- Optimizes images for speed, zoom, and conversion without manual intervention
Why it’s different
Most image tools optimize for “AI magic.” MediaReduce optimizes for consistency, compliance, and scale.
- Deterministic processing (no random results)
- Professional edge refinement and enhancement
- Platform-aware outputs (Amazon, Shopify, Etsy rules)
- Clear free → paid upgrade path for premium workflows
- Built for real production catalogs, not one-off edits
Who it’s for
- Shopify merchants managing growing product catalogs
- Amazon and Etsy sellers tired of image rejections
- Agencies handling multi-store or multi-platform listings
- E-commerce teams that need reliable automation, not manual editing
Core use cases
- Amazon main image compliance
- Shopify speed & zoom optimization
- Product image enhancement for low-quality photos
- Multi-platform export workflows
- Bulk catalog image processing
MediaReduce turns product image preparation into a reliable, automated system — so sellers can focus on selling, not fixing images.
Deleted Comment
I am building Shopify, Etsy, Amazon and marketplace image compliance platform so that businesses don't switch between tools.
Feedback welcome
ggap commented on Show HN: GhanaHousePlanner – Construction planner and cost estimator ghanahouseplanner.com... · Posted by u/ggap
Well done, it looks clean and easy to use. As a building professional, I think this is only useful for understanding construction, I mean the floor plan. It will be much better if you could create a Revit plugin
Thanks for the feedback. I understand your point of view on revit but this solution is needed since it allows layman to have a good understanding of their house project before they commit. Users will come to you professionals with solid demands and floorplans that helps both parties converge on a professional solution without too much iteration.
I'm building GhanaHousePlanner https://ghanahouseplanner.com/, a web platform to help people in Ghana/diaspora plan, estimate and manage house construction projects. It is free for individuals and only project management and using the floor planner ai agent needs subscription.
Current features include:
- Live material price list updated monthly (based on prices at local shops)
- Conceptual 2D/3D floor plan generation following Ghana Building Standards (development in several phases using procedural floor plan generation)
- Construction management dashboard to track project stages and conversations between project manager, mason, carpenter, etc.
- Printable material cost breakdown
TODO: A contact listing for local construction services
I would love to have feedback, thanks.
Hey, I find it interesting, I will contact you to have a chat
ggap commented on Mathematical exploration and discovery at scale terrytao.wordpress.com/20... · Posted by u/nabla9
Google's system is like any other optimizer, where you have a scoring function, and you keep altering the function's inputs to make the scoring function return a big number.
The difference here is the function's inputs are code instead of numbers, which makes LLMs useful because LLMs are good at altering code. So the LLM will try different candidate solutions, then Google's system will keep working on the good ones and throw away the bad ones (colloquially, "branch is cut").
Exactly, he even mentioned that it's a variant of traditional optimization tool so it's not surprising to see cutting-plane methods and when the structure allows; benders decomposition
ggap commented on Show HN: AfriTales – Discover the Magic of African Storytelling afritales.org/... · Posted by u/ggap