migrated my first SEO Kickstarter v1 entry into v2

document my complicated research data flow as a mermaid flowchard directly in markdown - was a bliss!

Stopping a research after it didn't work for 2h. Last time this took me 1w - I feel like I'm doing progress :)

Finished backlink analysis for "smaller DR jumps" (to extend my SEO Kickstarter with "likely DR jump for your domain"

Coding while on commute

refreshing SEO data for #seokickstarter

created a todo list for the next few days - super helpful when side-building: Think in a quiet minute, then hack in all those small inbetween times

after having realized I just wasted 1 week of effort I switched to work "from the customers end" now and delaying any research work until it's absolutely needed

trying to find a better data science model for backlink analysis - spent around 16h for a promising new version - which turns out is worse than before 🙁

created a way to ask people for their phone number and identity document in case when it's not clear if a shared flat listing is fraud or not - weegee.ch

Open sourced my "bluesky create starter pack" script and now it's already used by @alfrednerstu 🎉 github.com/philippkeller/blue…

reverse engineering ahrefs DR log scale - my manual approach was MUCH better than 2h of claude loops. Interesting: data science is another thing which works better by hand (or with external help) than with AI

finished script which gets replies to my bluesky tweets and creates / updates starter packs automatically. 282 makers already added this way

Script which automatically creates per-country buildinpublic starter packs based on flag replies on Bluesky Looks like it gets viral :) bsky.app/profile/philippkelle…

got "create starter pack" working as an python api function even though bluesky's official api doesn't support this 🙂

Wrote python script to get all replies to a 🦋 post

going to gym with my daughter

drink coffee with my wife in our favourite Café

reverse engineering ahrefs DR dimension - it's somehow logarithmic, but how exactly?

impact prediction model seems crap - refining it now with the help of Claude - and once again I'm blown away