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arvidkahl.bsky.social

Building https://podscan.fm so that people and brands can track their mentions on podcasts. I write, podcast & make videos in public. Calmly. Bootstrapping: https://arvid.link/sold Audience-First: https://arvid.link/embedded Audience-Building: https:

72 posts 9,325 followers 258 following

Posts 23 Comments 27

Talking about playing the long game @outseta.com with the one and only, @arvidkahl.bsky.social. tbf.fm/episodes/333...

submitted 17 days ago • 1 comment

@briansierakowski.com saw this shoutout via Podscan from @arvidkahl.bsky.social Enjoy the honeymoon phase!

submitted 96 days ago • 0 comments

I joined today an incredible masterclass with @arvidkahl hosted by @hypefury. Here are my key takeaways on personal branding, content creation, and audience building for founders. 🧵👇

submitted 117 days ago • 2 comments

Merry 2025 ;)

submitted 180 days ago • 6 comments

I just learned about this through @arvidkahl.bsky.social and I think this is amazing. I've been looking for and hoping this kind of thing existed for a long time to help indie founders build more sustainably. calmfund.com

submitted 185 days ago • 2 comments

Sending your Black Friday marketing email on Cyber Monday is still fine, right? 🤣 Asking for a friend.

submitted 210 days ago • 5 comments

hunter2

submitted 214 days ago • 3 comments

The more I use AI “at work”, the more I come to understand that an AI can not love its work. Anything it produces is unloved, unlovable, and loveless. That’s great if you want analytical insights and data crunching. It’s terrible for anything supposedly “creative.”

submitted 214 days ago • 18 comments

This is why you can't trust user-provided data. Seen here: a podcast's RSS feed, totally legitimately listing its categories. Not keyword stuffing at all.

submitted 216 days ago • 9 comments

With nascent social networks like this, how do you feel about “intentional audience building?” Part of me longs for memories of the past, where people just hung out and didn’t expect any outcomes. Yet, in reality, most people now optimize for reputation & monetary gain. So… which is it for you?

submitted 216 days ago • 25 comments

It's "on-device LLM" today. Soon, it'll be "on-chip" LLM. Or LLM cores. The system default local LLM. The coding framework's default local LLM. I find this incredibly exciting. A privacy-first, self-contained, user-owned AI—a 24/7 agent for action, insights & feedback. github.com/huggingface/...

submitted 218 days ago • 12 comments

CSS sure is beautiful. www.tyleo.com/html-glass.h...

submitted 218 days ago • 4 comments

This week, I reflected on my free trial strategy. One thought that I couldn’t shake was that a trial period is free for the prospect, but can be expensive for the founder. So where do we draw the line? How much do we let them use the product? Heres my approach. tbf.fm/episodes/357...

submitted 218 days ago • 8 comments

I’m really reluctant going all-in on coding with cursor. Maybe that’s old man yelling at cloud, but I prefer having some semblance of a full mental model of my code as I improve it. Only playing “pull request merging expert” disconnects me from the resulting artifacts. Or am I doing it wrong?

submitted 219 days ago • 41 comments

This girl was watching me push a significant UI change to production earlier. They truly mirror our emotional state.

submitted 219 days ago • 12 comments

What’s that one thing about running a SaaS business that nobody warned you about? For me, it’s the inability to turn of my mental background processing. There’s always a new idea or optimization popping up in the least work-related circumstances.

submitted 219 days ago • 23 comments

So, I just found out that a sprinkle of freshly ground cardamom in my morning coffee increases the joy of that beverage by an additional 47%. This may not be mid-pandemic sourdough nerdery, but I am really getting into spiced beverages 🤣

submitted 220 days ago • 8 comments

I've been mired in building machine-learning models in... PHP for the last few days. I never thought I could pull this off, but it would appear I have a pretty accurate audience size prediction system using ridge regression on hand-collected data. Still fiddling with it, but it's working 🤯