Summary:
In this episode of Early Days, Car sits down with Ted from Feed Filter AI to explore using AI as a tool to enhance user experience on social media by filtering out unwanted content.
They discuss the role of Feed Filter AI in content curation, the challenges of social media today, and the importance of understanding user needs in early-stage products.
Ted shares hard lessons from earlier startups, the importance of shipping with live user feedback, and why he’s building Feed Filter AI as a company for the Bitcoin era, where privacy, ownership, and open networks matter.
We explore:
- How to Make Social Media Great Again!
- Where does the moat live? User-owned rules, privacy, compounding models
- What to measure? Junk removed, time saved, retention
- User-controlled filters that run across X and Instagram
- Cutting social noise so users get their attention back
Chapters:
00:00 Problem framing: noise steals attention, AI gives it back
03:11 Context over keywords: how the model reads text, images, memes
06:33 UX realities: overwhelm, friction, drop-off—what actually fixes it
09:55 Market entry: where Feed Filter wins first, initial wedge
12:21 Feedback loop: ship weekly, instrument everything, learn fast
16:15 Filtering engine: user rules, aggregation, precision at scale
20:55 Roadmap and future app rollout
25:05 Founder scars: what previous startups taught Ted that transfers
40:30 Surviving the trough: cash, focus, and saying no
48:13 Past pivots (incl. health tech): extracting playbooks, not baggage
58:07 Post-mortems that matter: what to keep, what to kill
01:02:53 Building for the Bitcoin era: privacy, ownership, open networks
Learn more about Feed Filter AI
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