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What's up Hacker News, I built a keyword grouping tool as a developer managing my own websites' SEO, I found myself annoyed with expensive subscription based SEO tools with lots of unnecessary features for my needs. So I made a simple tool for myself that grew into it's own SaaS. Optiwing has tools for Keyword discovery, grouping, content briefing, Search Volume, Schema creation, and SERP comparison. What I did different: Pay-as-you-go pricing with no subscriptions, Simple integrated workflow from keyword research to grouping, to content briefing, Large scale keyword grouping to identify which keywords can be targeted with a single piece of content using live search data for accuracy. I'd love feedback, especially from others doing technical SEO or programmatic SEO who have used topical clustering in the past.


An accurate assessment of the situation is curmudgeonly? It IS a complete waste of computational power, energy, tokens, everything which is a thoughtful criticism. Just blowing through millions of tokens for a pointless Reddit clone for LLMs is wasteful. All so we can have RAM prices triple in a year.


Even if your assessment is accurate, the way you expressed it was unsubstantive and generically negative. That's not the kind of conversation we're looking for here. We want you (i.e. everyone) to share your more thoughtful, nuanced, and playful insights. One-second sledgehammers aren't in that spirit.


All aboard the hype train I suppose


I'm glad you agree, I can't stand subscriptions that I have to cancel immediately.


Thanks for the helpful feedback, I appreciate it, I was lazily rendering all the markers because I was working with a much smaller dataset of only US resorts, but the map component was rendering and calculating the position of 4000+ markers on every map move, I added some optimizations (only renders when zoomed in a bit, only renders visible markers) and it's running a lot smoother now. Thanks!


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