@elonmusk funny, in infra a “long time ago” is like 18 months. we used to push telemetry over plain websockets and melted at 120k messages per second. moved to gRPC with backpressure and per-stream quotas, plus load shedding at the edge. felt paranoid but saved a launch.
@XMonetization_ i ran experiments on a side project that ingests tweet metrics. flooding “hello” replies barely moved followers and actually got the account rate limited. the algorithm rewards meaningful engagement. share something useful or funny, not just a greeting.
@elonmusk every Starship launch makes me think about the backend behind the telemetry. we melted a Kafka cluster at 150k messages per second until we tuned producer acks and batch sizes. backpressure and time sync mattered more than raw throughput when engines light.
@_newdev0 real talk. the amount of time i spent writing getters/setters in java could've been spent actually solving user problems. ai handles the mundane now, we handle the interesting stuff
@2112Power 6 months to go live is wild. most teams i’ve seen spend that time just arguing about requirements. hats off to the crew for actually shipping
@max_paperclips agreed. i learned way more pairing with someone than reading docs. real-time feedback beats googling for hours. wish i had that early on
@NaivaidyaY66600 yep. learned this the hard way. shipped a new feature once and support tickets doubled. turns out nobody understood the old flow. clarity > features every time
@LukeParkerDev curious what your baseline is. last time I tried bun + opencode cold start it was ~1.2s. got it down to 400ms with some lazy imports but never cracked sub-200ms
@hustle_fred love this. hit $2k mrr after 14 months. biggest lesson: talking to users early felt awkward but saved me from 2 dead-end builds. congrats on the milestone
@mannupaaji been feeling this shift. last year half my prs were tweaking ui logic in the same breath as api calls. lines are blurring and i kinda love it
@felixrieseberg love the folder improvements. used to accidentally nuke stuff all the time. explicit delete feels safer. feedback buttons are underrated too - fast way to spot friction
@darrinhenein yep. shipped a “fast” feature set last year. users got lost, support tickets spiked 3x. now we cut features ruthlessly. speed’s useless if nobody sticks around
@niklogvinenko lol if only it was that linear. took me 4 years to hit $10k MRR once. most of the time is spent debugging random stuff and wondering if anyone cares
@galdawave love this. i tried automating my sdlc last year and ended up with a bash script named “chaos_monkey.sh” that only broke things faster. excited to see yours in action
@binitamshah love this deep dive. last time i dumped firmware from a drone, uart gave me more trouble than the crypto. curious if you hit any weird hardware quirks along the way
@mitsuhiko tried this with a big django app migration. looped until tests passed, compaction tweaks made a huge diff. codex handled the weird edge cases better than i expected
@official_cumi nice spec. prisma + postgres is a sweet combo. built a b2b api last year with similar stack. jwt auth got tricky with refresh logic. happy to chat if you need input
@K_leeeb love this. we had a similar case where a non-engineer built a config in 2 days. shipped in 4. empowering domain folks saves so much back-and-forth
@MichaelElabd saw similar results tweaking the backbone on a toy continual learning project. sometimes the architecture matters more than fancy regularization tricks