I’ve been building Stackra.app for the last 6 months.
Basically a website and SEO audit for website owners. Platform awareness from Wordpress to Loveable.

Recent updates:
-Expanded analytics to domain linking
-Updated website benchmarks to run on signals detected from a dataset of 1 million websites
-Surfaced core data and analytics on this corpus
-Added sitemap analysis

Full tech detection is now live, vendors, analytics, plugins. I believe I have 2400 signals at last count.

Stop by and run a free scan. Would love feedback on what you think!

I'll send you over a scan of what your site runs, you tell me where I'm wrong. Not just a wappalyzer scan, although that is one of the control points.

I've based this on reviewing over 180 million sites, it's got some miles on her.

Drop your URL and let's try it out!

Hey y'all,

I'm Luke, and I built Stackra for some context. Not selling a ding o dang thing here, just looking to see what this dataset is really capable of.

The corpus is 15 million sites pulled from HTTP, CommonCrawl, CrUX, and Overture.

I have a few thousand elements mapped out, like analytics, tools, vendors, link value, site category, schema, plugins, you name it. It runs back to 2024, and I've started putting some of this data user facing.

I find things like being able to identify that the market for funeral homes is dominated by two vendors, that I can identify site directories and their value/trajectory, that custom built websites pass CVW at a higher rate than WP, but rarely crack the top rankings without investor backing.

Weird little stuff like an emulator site that has been highjacked by porn/gambling sites. A popular listing tool that claims their links provide DR, but are explicitly UTM and nofollow. Pinpointing an ICP for a small business from clustering shared linked domains.

I'm curious to see what it can do, what would you want to ask?

Drop your site url here. Doesn't matter if its lovable, Wix, or something you built on replit. I'll run a full site audit and share the link here for you to view.

I've noticed a trend where loooots of people, including myself post about the tools they're building. Shortly after, a whole onslaught of vibe coded trash appears. Seemed harmless n many cases, but I did find one very persistent user that was trying to copy some of the tools I built.

Anyone else out there running into this problem?

Some context. I have a dataset with the last three years of open web data. This particular tool pulls referring domains from the common crawl edge files, categorizing and ranking them via an LVS, link value score. It's in beta, it's not live, but I have the prototype up and running.

Its a network of over 150 million sites, and billions of edges clustered.

I also run a DFS backlinks scan for recency/accuracy measure on this as well.

Drop your url if you want to give it a shot!

DR seems to be pretty flaky, and will give pirated domains a high score, and a small SaaS startup nothing.

If you're interested, drop your site here and I'll use my tool to score them and how much they're worth.

DR seems to be pretty flaky, and will give pirated domains a high score, and a small SaaS startup nothing.

If you're interested, drop your site here and I'll run it through DFS for the updated linked domains and then use my tool to score them and how much they're worth.

I have a dataset that runs back to 2024 and pulls nearly every signal I can find from the open web.

If you had access to it, what's the first SEO question you'd ask?

I've built a tool that allows me to pull from the open webgraph and score linked domains based on authority. Some of my current use cases are checking what similar tools to mine commonly link to, what their authority score is, mapping target ICPs, identifying outreach targets and gaps.

What would you want to know?

I've built a tool that allows me to pull from the open webgraph and score linked domains based on authority. Some of my current use cases are checking what similar tools to mine commonly link to, what their authority score is, mapping target ICPs, identifying outreach targets and gaps.

What would you want to know?

I've built a tool that allows me to pull from the open webgraph and score linked domains based on authority. Some of my current use cases are checking what similar tools to mine commonly link to, what their authority score is, mapping target ICPs, identifying outreach targets and gaps.

What would you want to know?

I am going to immediately stop using Google Chrome on mobile. Not because they use AI, but because they moved the back button to the top of the screen and replaced it with the ask Gemini button.

The search bar is at the top.
The back bar goes at the bottom.

I tried it with both at the bottom, it’s terrible.

Who designed this?

I have seen ZERO Linkinfluencers get to claim that their comments or impressions were cited by AI.

I'm Luke, the founder of Stackra, a website and SEO audit tool for small businesses. Built this by myself, 90% Replit, 10% Claude.

I've been using a dataset of over a million US websites to build some of my grading and scoring benchmarks, and recently surfaced the dataset and results to my analytics page.

https://stackra.app/analytics/

You can see how Wordpress restaurants compare to Squarespace, what tools dentist websites install, which platforms tend to have the highest referring domains.

https://preview.redd.it/rsoi21t1twdh1.png?width=1047&format=png&auto=webp&s=062c0e23be958c42df45e26a8e90a2b276d507c9

I've got this broken down by 26 site categories, over 400 subcategories, 100 platforms, with tools, analytics, CWV data, schema usage and more.

Would love some feedback on what sort of reports you'd want to see more of, data that you would want surfaced, and happy to share any insights into how I cleaned this dataset.