Ryan Lenk

Say bye to expensive black box SEO tools. Say hi to Assay!

23 followers

Say bye to expensive black box SEO tools. Say hi to Assay!

23 followers

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Analytics Databases

Assay grades a business's AI readiness and SEO from their own page source across six checks, then refuses to build the outreach packet until you confirm each one.

This is the 2nd launch from Ryan Lenk. View more

Bangermeter Analyze X's Algo & Win

Launching today

Score Tweets With X's Open-Sourced Algorithm

What is Bangermeter? A free Chrome extension that badges every post in your X feed with what the open-sourced ranking formula would make of it, using the last weight values X published. The formula skeleton is verified against X's 2026 open-source release. Outputs are relative scores, and the tool says so on every screen. It does not predict reach. Zero network requests, zero data collected, no account. It all runs in your browser. 33/33 self-tests in the open repo.

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Free

Launch tags:Chrome Extensions•Productivity•Open Source

Launch Team / Built With

Framer AI AgentsDesign and publish professional sites with AI

Promoted

Maker

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Hey everyone! I made Bangermeter because I was interested in the weights behind every action on X including how a post was written. Bangermeter is the free and open-source culmination of that head-scratching. Enjoy!

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10h ago

Previous Ryan Lenk Launches

Ryan LenkSay bye to expensive black box SEO tools. Say hi to Assay!

Launched on August 6th, 2026

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6d ago

Say Bye to your expensive black box SEO tool. Say hello to Assay!

I open-sourced Assay today, the desktop tool my own consulting practice runs on.
It audits a local business's AI-readiness by reading their raw page source, six deterministic checks, and drafts the outreach packet: scorecard PDF, schema starter kit, delivery drafts. Then it stops, and nothing auto-sends. No sender is implemented in the codebase; each artifact needs individual approval, and even then the sending is mine to do by hand.
My whole pitch to a prospect is that every claim in the audit can be reproduced in their own browser with view-source. The constraint lives in the types and the tests.
The calibration set is two client scans, and reconciliation agrees on severity band rather than exact score. MIT licensed, source only for now. If you work in outreach tooling or structured data, I would value your read on the approval gate.
It all started a few months ago with my mom showing me her website for her local shop which also has a Shopify storefront. She'd been upset because she felt like she was losing out to a local competitor.
Me, being obsessed with data wanted to prove that wrong. The site was in terrible shape, I knew nothing about pagesource, cats.txt (lol) or how AI has been beginning to rule how search works.
This tool is the culmination of that work, and I'm happy to share it all to you.
Check it out before launch happens tomorrow at https://www.ryanlenk.com/pages/a...

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