If you care about startup latency, memory footprint, or deployment simplicity… February is going to be interesting. #performance #backend #native #devtools #buildinpublic
Build once. Run anywhere. Actually mean it. #crossplatform #native #devtools #engineering
Fast is nice. Predictable is better. Native binaries get you both. #performance #reliability #native #backendengineering #devtools
It’s fun building something where the win condition is “people stop stressing about infrastructure.” #developerexperience #infra #devtools #software #engineering
There’s a version of backend dev that feels dramatically calmer than what most of us are used to. We’re very close to sharing it. #backenddev #devexperience #software #comingsoon #engineering
Shipping is easier when your mental model fits in your head. Containers, sidecars, cold starts, env glue… that stuff adds cognitive tax fast. #developerexperience #infra #backenddev #simplicity #engineering
Watching a mixed-language app compile down into a single native binary will never get old. #polyglot #nativecode #buildtools #backend #engineering
Small teams shouldn’t need big-company deployment machinery just to ship software. #startups #backend #devtools #simplicity #shipping
One of the underrated benefits of native binaries: your app feels like an app, not a deployment artifact. #nativecode #backend #devexperience #shipping #engineering
A lot of our recent progress came from conversations with early users who just wanted things to feel less fragile. That feedback loop rules. #devcommunity #buildinpublic #feedback #startup #software
We’ve been heads-down getting things boringly reliable. The fun part comes next. #buildinpublic #shipping #reliability #devtools #startup
“Serverless” should feel like frontend bundling: write code → build → deploy → done. #serverless #devexperience #backenddev #shipping #simplicity
Cold starts are a tax. Native binaries don’t collect it. #performance #serverless #native #backenddev #taxrevolt
Been refactoring some core pieces lately and it’s wild how much simpler things get when you remove layers instead of adding them. Fewer moving parts. Faster everything. #buildinpublic #softwareengineering #devlife #performance #simplicity
Elide’s still in beta, but the deployment model is already the cleanest part. New projects get payoff immediately.
Numbers are great (and we have some of the best numbers, everyone is saying this btw), but the real speed hack is just… not turning every function into its own microservice.
30–50MB binary + your model file. Run it anywhere. No venvs, no node installs, no system deps. elide.dev
Elide Runtime
Using Elide is familiar, like Node or Python. You install it on your machine, or on a server, and then use it to build, test, and run the code you write.
elide.dev
I sometimes forget we are still in beta. Lots of optimization headroom. But the performance profile is already hard to ignore.
Elide’s real trick isn’t speed, it’s collapsing entire architectures into a single process without losing flexibility.
Local-first log analyzer: #Python parses → #Javascript streams UI → #AI explains stack traces → #SQLite stores known issues. All inside one binary. That’s the kind of flow that #Elide brings you.
When Python and JS share memory, and local AI inference is built-in, you start getting app patterns that traditional stacks can’t even model. #Elide #Python #Javascript #AI #native
#Python data processing feeding #Javascript visualization with zero serialization overhead is basically cheating.