The backend platform she tells you not to worry about

San Francisco, CA
Joined September 2021
Pinned Tweet
What’s the differentiator when software becomes commoditized? What are any of us doing? We need to approach engineering with a new lens. Our CTO @jamesacowling has some thoughts.
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we're... we're on a list! brb calling our moms
Spring was an abstraction. Summer was the stack. Fall? The “chips” fall where they may. The 25 fastest-growing software vendors on Brex this fall👇
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We're cooked (new number is 44 🤭) xitter.cf/jamwt/status/211293416…
Yesterday the software industry learned a hard lesson. At @convex, we've rotated all random numbers. They are no longer 4. We will not be disclosing the new number.
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Ever wondered what's actually inside your convex bundle? There's a new bundle analyzer, in alpha 👇 @​convex-dev/bundle-analyzer summary
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dig even deeper with these commands: - 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 gives the size per component and runtime - 𝗳𝗶𝗹𝗲𝘀 shows the largest individual files - 𝗺𝗼𝗱𝘂𝗹𝗲𝘀 shows how much code loads to run a function - 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 opens an interactive treemap right in your terminal
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Before you run it: you need convex/_generated/ to exist (npx convex codegen) and your deps installed. It's alpha, so expect changes. Try it and share your numbers 👇 npmjs.com/package/@convex-de…
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You Don't Need Design. You Need Good Decisions and Good Engineering. Listen to @johnmaeda talk on design factors in the Age of AI 👇 Full video linked below.
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🚢 Convex v1.47.0 is out. You no longer have to freeze a deploy to index a big table. 🧵 👇
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- `ctx.meta.getSnapshotTs()` is now public API - Clearer errors when you pass a function where a Convex value is expected - The MCP server no longer stalls on overlapping tool calls
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Agents be like when they drop a whole table: "I apologize, I should have checked with you first 🥺"
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When your agent's code is so clean you start saying "we" built it
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How your dog looks at you when you spend $500 on tokens instead of treats 🐶🦴
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You have heard of the @convex LLM Leaderboard but did you know we also have a Decision Leaderboard? Interesting datapoint is @perplexity_ai's Decider currently tops the leaderboard and costs less than half the price of Jev if you are willing to sacrifice a little response time!
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We made you a more readable version xitter.cf/mikeysee/status/211017…
Replying to @Google
@Google's Argon looks to be a mighty impressive model. Third place on the @convex "No Guidelines" leaderboard. First place "With Guidelines" and second place "No Guidelines + Web". All for a very reasonable price!
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