AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
localfirst.fm
#4 – Martin Kleppmann: CRDTs, Automerge, generic syncing servers & Bluesky
Feb 28, 2024
Exploring CRDTs, Automerge, and generic syncing servers with Martin Kleppmann. Discussing the future impact on local-first software. Transition from JSON CRDT paper to Auto Merge. Evolution and future enhancements of Auto Merge. Peer-to-peer syncing and transition to local-first software. Evolution of local-first technology and user control over data. Impact of local-first computing on niche use cases.
01:04:23
Episode guests
AI Summary
Highlights
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Automerge, developed by Martin Kleppmann, has advanced from handling JSON CRDTs to supporting rich text features, aiming for fast, mature, production-ready performance.
- Future local first software envisions hybrid cloud and peer-to-peer connectivity, with generic syncing servers simplifying backend development for diverse applications.
Deep dives
Benefits of Local First Software
Local first software offers the economic value proposition of streamlining backend infrastructure by making data sync protocols and storage on servers efficient. This approach allows various types of apps, such as graphics apps, spreadsheets, and document editors, to utilize the same backend syncing service. The emphasis is on data ownership and user-centric data control, providing real-time collaboration and sync capabilities across devices.
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode