Kyle Mathews

@kam

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43947 Followers

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A big update to our Electric/TanStack DB starter — it's now a project app, not just a todo app! You can create projects & share them with other users.

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Excited to announce the initial release of the Trailbase integration with TanStack DB! Trailbase is a blazingly fast, open-source, single-executable Firebase alternative.

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Excited to release a new starter! Sync-first, production-ready, and blazing fast - TanStack Start - TanStack DB for blazing fast client-side queries & optimistic mutations - ElectricSQL for real-time sync from PG - better-auth - DrizzleORM - tailwindcss - Hono OpenAPI https://github.com/KyleAMathews/tanstack-start-db-electric-starter

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🚨 Big news! We’ve been collaborating with the legendary Tanner Linsley and the TanStack team to build something new: TanStack DB — a reactive, normalized, transactional state engine that extends TanStack Query.

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https://electric-sql.com/blog/2025/04/09/building-ai-apps-on-sync New ElectricSQL Blog post / Demo making claim that if you're building AI apps — you need sync. It's almost funny how crappy ChatGPT, etc. are as apps — it follows directly from how they're built, without sync — we're gonna change that.

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📣 Electric Cloud is in public BETA! It takes just 30 seconds to add your Postgres db and start syncing to millions. Head over to https://dashboard.electric-sql.cloud/ to start syncing.

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I always thought Brexit was a worst mistake than electing Trump — but then we re-elected Trump on a platform of brexiting ourselves from the world so here we are. Goodbye to the American Century.

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Electric is now 1.0! 🚀 Check out the 1.0 release post here: https://electric-sql.com/blog/2025/03/17/electricsql-1.0-released The APIs are stable and we're ready for mission critical, production apps. Super excited to see what you build with Electric now it's hit 1.0!

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If someone ever makes a documentary about electric-sql.com they should name it "Straight Outta Postgres"

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First Deep Research blocks me and now Claude — I guess that's the sign from the AI overlords that it's time to go take a bath.

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OpenAI's Deep Research feels like as big of leap as the original ChatGPT. Also, in a strange way, I feel more keenly sad I didn't have it when I was younger than ChatGPT. So many questions I could have blitzed through...

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Huh it almost looks like the Canada/Mexico trade war was just a smoke screen for the ongoing attempt to take over the federal government spending

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It's a field-day for megalothymia!

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It seems like "The Bitter Lesson" from AI is just a general lesson for the design of any system with emergence. It's very fun to tinker with a system's details but a simple design with emergence always works better http://www.incompleteideas.net/IncIdeas/BitterLesson.html

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AI really changes the calculus on API design. It is perfect at verbose but very explicit code but struggles at elegant but high-conceptual-density APIs.

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A common way designs fail is the designer eliminates "ugliness" from the design too early, before they understand the space. Similar to Andy Grove's famous management quote — “Let chaos reign, then rein in chaos”. The chaos and ugliness hold great ideas — if you can tolerate them long enough.

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Reading LLM summaries vs raw writing has a similar feel to reading a "popular" social media feed vs a chronological feed. Often the summary or highlights is what you want but too much and I start craving all the missing details and serendipity.

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@vgr is there a pdf of all the protocols essays? I've been playing with https://notebooklm.google/ and it's quite handy to have a canonical set of resources to insert a specific block of knowledge. I have a notebook I want to mix-in all the protocol ideas.

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What are some reliable ways to tell the difference between a system that's breaking down and one where you've just gotten far more sensitive to its shortcomings?

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Are there any sci-fi novels that seriously try to grapple with the problems of multiple galaxies?

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