We shipped Virtual Try-On for humans, but.... it works on animals too!
If you ever wondered what that sweater would look like on your cat, now is the time 😼
OneThink is live on the App Store.
The idea: what if your productivity app only let you think about one thing per day?
Built it because I kept building elaborate systems and ignoring all of them.
→ https://t.co/hdwhoAeqLk
Android coming soon — DM me if you want to test it.
@TweetsOfSumit@deel Have been on the employee side with deal - was nice experience, we did switch to something else though later on due to German regulations
We have been trying to get in touch with @Apple for the Enterprise Developer Program - anyone made a similar process or got some tips here? We do have a valid reason (in-house apps for internal use with private distribution).
I’m excited to share that I’ve joined epilot as a Senior Product Engineer! 🚀
epilot is building the leading Energy XRM platform, helping energy companies digitize customer journeys, simplify complex processes, and speed up the transition to a more sustainable future.
I’m looking forward to being part of this mission—working with an amazing team, building impactful solutions, and playing my part in shaping the energy transition.
Here’s to the next chapter—let’s power the future together ⚡️
I’ve built event-driven systems processing 1M+ events per month at startups.
One thing that always caused headaches:
Validation was left to downstream consumers.
In Kafka, any data can enter a topic.
Every consumer has to do its own validation. Miss one rule, and you end up chasing weird side effects or broken consumers — hours lost debugging what should have been caught earlier.
(This is a sponsored post, but these are my own thoughts and ideas working with EDA a lot)
But what if the broker itself guaranteed that only valid data ever enters?
That’s what Bufstream does:
•Kafka-compatible (drop-in replacement)
•Understands Protobuf schemas natively
•Validates events right on the broker
Bad data never even reaches your topics — it’s rejected at the producer level.
And because validation is built into the broker, you can define rules once and trust the system to enforce them everywhere. Cleaner pipelines, fewer consumer bugs, and less ops overhead.
If you’re working with Kafka at scale and want to simplify data quality, it’s worth a look.
👉 Learn more here: https://t.co/YG50vjFj2s
I built the iOS Photos App shared element transition with @swmansion React Native Reanimated and @expo.
Was a fun thing to built - check out the video ⬇️
I migrated my blog and gave my personal website a polish 🎉 built with @expo - hosted by @expo.
Literally takes 20 secs to go from dev to deployment 🔥
Check it out: https://t.co/Mrl1qSPJwA
Charts make data beautiful! I needed a custom solution that animates pie slices and reacts to user taps. So, I built one using @ReactNativeSkia as well as Reanimated and Gesture Handler from @swmansion
Check out the short demo ⬇️
Getting the gestures right is a bit trickier but still straightforward. A pie chart is essentially a circle. We can use circle math to determine if the press coordinates fall on a specific slice of the pie. To illustrate this, I animate the stroke of the selected slice.
Recently, I needed to introduce rate limits to a couple of mutations in my AppSync API. I used a combination of Middy and @momentohq to implement this.
Check out my blog post and the rate limiting implementation ⬇️
https://t.co/7Z5cqYanJJ
Pretty nice what @FormidableLabs did with the Victory Native re-write.
Creating some beautiful charts with animations takes almost no effort anymore.
Build this within an hour