!I got tired of paying $100/month for keyword research tools.
Ahrefs costs $99/month. SEMrush costs $119/month. Even Ubersuggest — which markets itself as "free" — limits you to 3 searches per day before locking you out.
I'm a developer from India. I needed keyword data for my projects but couldn't justify spending more on SEO tools than on hosting. So I built my own.
What I Built
KeywordFinder.dev — a completely free keyword research tool. No account. No daily limits. No credit card. Forever.
Here's what it gives you for any keyword:
📊 Monthly search volume estimates
🎯 Keyword difficulty score (0–100)
💰 CPC data
💡 Search intent (Informational / Commercial / Transactional / Navigational)
🌿 Topic clusters
📈 8-month trend data
❓ Question keywords tab
⬇ CSV export
It also supports 8 platforms — Google, YouTube, Amazon, Bing, Instagram, TikTok, Pinterest and Play Store. So you can research keywords for wherever your audience is.
Why Free?
Because good SEO data should be accessible to everyone — not just people who can afford expensive subscriptions. Students, bloggers, freelancers, small business owners — they all need this data and they shouldn't have to pay hundreds of dollars a month to get it.
Tech Stack
Built with vanilla HTML, CSS and JavaScript. Backend runs as a serverless function. Bot protection via CAPTCHA. Deployed on a CDN so it's fast globally.
Try It
👉 https://keywordfinder.dev
No sign up. Just type a keyword and hit Analyze.
Would love your feedback — what features are missing? What would make this genuinely useful for your workflow?
Top comments (1)
This is exactly the kind of tool the indie builder community needs. I run a programmatic SEO site with 100K+ pages across 12 languages, and keyword research is the first step in deciding which page templates to build at scale. The multi-platform support (YouTube, Amazon, Bing alongside Google) is a smart differentiator — most free tools only cover Google, but I've found that Bing keyword data in particular is increasingly valuable now that Bing powers AI search experiences like Copilot.
The search intent classification is the feature I'd use most. When you're building thousands of pages programmatically, knowing whether a keyword cluster is informational vs transactional determines the entire page template design — different CTAs, different content depth, different schema markup.
One feature request: bulk keyword analysis via CSV upload. When you're doing pSEO at scale, you're often evaluating hundreds of seed keywords at once to decide which ones justify building a template around. Being able to upload a list and get back difficulty + volume + intent for all of them in one shot would be incredible.