Clustering stories and expanding discovery

I sit down with Kevin Rose for a live screen share where he walks me through “Nylon,” a personal Techmeme-style news engine he vibe-coded to track AI and tech stories. He breaks down how he pulls from RSS, enriches articles with tools like iFramely, Firecrawl, and Gemini, then generates TLDRs and vector embeddings to cluster stories with real nuance. We dig into his “gravity engine,” an editorial scoring system that ranks stories by impact, novelty, and builder relevance. The bigger theme is simple: with today’s models and workflows, a solo builder can ship wild, high-leverage software fast, then refine by cutting features down to the few that matter.

Timestamps:

00:00 – Intro And What Kevin Plans To Demo

03:10 – Techmeme Breakdown And How Signal Gets Ranked

06:44 – RSS Sources, Ingestion, And The Article Pipeline

11:23 – Winner Selection: RSS vs iFramely vs Firecrawl vs Gemini

13:01 – Why iFramely And Firecrawl, Explained

16:37 – TLDRs, Vector Embeddings, And Why They Beat Keyword Search

19:49 – Task Orchestration With trigger.dev And Retries

24:58 – Clusters: Expanding With Search APIs And Discovery

27:07 – The Gravity Engine: Editorial Scoring Rubric

31:31 – Product Management: Gut, Iteration, And Cutting Features

34:53 – Synthetic Audiences And Personal Software

37:03 – What “Success” Looks Like

43:52 – Retention Mechanics And The Idea Browser Example

47:19 – “Blurred Presence” Blog Project From A 12-Year-Old Idea

50:34 – This the best time to build

51:55 – How To Work With Kevin, DIGG Reboot, And VC Today

Keypoints

• I watch Kevin’s end-to-end pipeline for turning messy RSS links into clean, enriched, clustered stories.

• Kevin uses a “winner” judge to pick the best source of truth per field (summary, main content, metadata).

• Vector embeddings plus clustering unlock meaning-level grouping that keyword search misses.

• trigger.dev gives durable background jobs, retries, and observability for a solo builder workflow.

• His “gravity engine” acts like an editorial layer that prioritizes novelty, impact, and builder relevance.

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personal website: https://www.kevinrose.com/about

Youtube: https://www.youtube.com/@KevinRose