Bartek

[Bartek @_bartekOb]

The level of integration in everyday workflows is insane. Can't wait for when it rolls out.

[Norbert Klockiewicz @Nklockiewicz]

Watched the WWDC keynote. Lost count of how many times they said "on-device."

They know it's the way.

[Igor Swat @igor_swat66626]

🌍 One prompt, many languages, all on-device.

We are shipping multilingual support in React Native ExecuTorch v0.9:
→ Gemma 4 generates the response
→ Kokoro TTS speaks it aloud
→ Everything runs locally on mobile 📱

Here's a quick demo 👇

[Software Mansion @swmansion]

With RN ExecuTorch 0.9.0, you can run @OpenAI's privacy filter to redact sensitive data, on-device! 🔒

What else is new?
➡️Pose estimation with YOLO – detect and track body keypoints in real time
➡️ FastSAM for promptable image segmentation – tap an object, get a mask
➡️ NPU-accelerated Whisper – up to 10x faster speech recognition on iOS

Watch the privacy filter demo and check out the full release notes! ⬇️

[Bartek @_bartekOb]

@BoazWith Honestly the hardest part was picking which cat photo to use first 😺. Skia handles the cutout rendering, but the real magic is FastSAM doing instance segmentation fully on-device

[Bartek @_bartekOb]

I've always been a heavy user of iOS stickers - so I wondered how hard it'd be to build my own in React Native.
One hook, one model, a bit of Skia - that's the whole app and it's fully local too!

react-native-executorch 0.9 drops next week with FastSAM support 🚀🚀

[Bartek @_bartekOb]

https://t.co/O4Gb904bHJ

[Norbert Klockiewicz @Nklockiewicz]

Just got @OpenAI's privacy filter model running on-device with react-native-executorch.

~600MB RAM, and the quality is genuinely impressive.
Imagine scanning an email before you send it to catch sensitive data — no cloud, no leaks. Tons of new on-device use cases unlocked.
Coming soon 👀

[paszaBiceps @paszaBiceps]

Listen, my friends - this is very important.

Right now in Poland we have the biggest charity action, helping young warriors fighting cancer. Łatwogang and Bedoes 2115 are doing a crazy good job for @fundacjacancer - already more than 38 million PLN raised. Big respect. But we can do more. Esports family - this is our moment.
So… I give something very special for donation. The most valuable skin from my collection — iconic Karambit | Fade “motar2k”. For me? Priceless. So many memories, so many beautiful moments on my esports road. Tell me… is there a more legendary knife in CS? Today, we make it even more special.
Simple rules - starting price $5,000. You write your offer in the comments under this post or DM me. Tomorrow at 1 PM I contact highest offer and we make everything through official charity channels.
Let’s show the world how strong the esports family is 💪
@realmotar2k @ohnePixel @Gaules @zipelCS @FalleNCS @Vitality_apEX @NiKoCS_ @s1mpleO @ESL @BLASTPremier @pglesports @StarLadder_CS @HLTVorg @TeamFalconsGG @FaZeClan @TeamVitality

#cancerfighters #fundacjacancers
#łatwogang #bedoes2115

[Bartek @_bartekOb]

@stevibe What does the memory utilisation look like? I wonder if it's possible to run the model on a MacBook and still have some wiggle room with compute to do other stuff.

[Bartek @_bartekOb]

@Nklockiewicz is a solid engineer. This talk will be 100% worth to attend! 🚀

[Software Mansion @swmansion]

There's obviously gonna be a solid representation of SWM engineers at @appjsconf - book your tickets if you haven't already and see you soon!

[Bartek @_bartekOb]

Exactly what local AI is cut for

[Jakub Chmura @_jakubchmura]

OpenAI’s open-source model Privacy Filter just dropped 🍾

- Automatically masks PII like phone numbers & addresses
- 1.5B parameter model which is mobile-capable
- Blur private data before it ever leaves your device
- Coming soon to React Native ExecuTorch 👇

[Bartek @_bartekOb]

Happy to be a part of this. Let's gooo for 100k next!

[Norbert Klockiewicz @Nklockiewicz]

What a time to be alive, first 10k for react native executorch

[Jakub Chmura @_jakubchmura]

spent some tokens vibe-coding a 3D embedding space visualization in React Native

the embeddings are computed locally using react-native-executorch, the visualization uses typegpu, co-authored by opus 4.7 max.

source 👇

[left curve dev @leftcurvedev_]

how local ai feels right now

[Software Mansion @swmansion]

You're in a jungle, no signal, and you just picked up something that's either a rare artifact or a really weird fruit 🍈. What do you do?

You can take a photo and get an answer offline – using Vision Language Models from the latest RN ExecuTorch release.

Check it out in our app Private Mind on the App Store and Google Play ⬇️

[Bartek @_bartekOb]

😮‍💨😮‍💨😮‍💨

[Norbert Klockiewicz @Nklockiewicz]

LFM 2.5 vl 450M uses less than 1GB of RAM and generates ~90 tok/s. Soon you will be able to run @liquidai models even on potato. Now available in react native executorch.
https://t.co/owvdRDqUJx

[Bartek @_bartekOb]

@Nklockiewicz @_jakubchmura @xenovacom @liquidai Young man giving a thumbs up 👍👍

[Bartek @_bartekOb]

Big things coming soon!

[Software Mansion @swmansion]

🔍 Object detection in your React Native app – on-device, no cloud, fully private. Sounds hard?

It's not – watch this ⬇️

[Software Mansion @swmansion]

🔍 Object detection in your React Native app – on-device, no cloud, fully private. Sounds hard?

It's not – watch this ⬇️

[Bartek @_bartekOb]

Big things coming to RNE. Stay tuned 🗿

[Norbert Klockiewicz @Nklockiewicz]

Qwen 3.5 from @Alibaba_Qwen just dropped - performance that was cloud-only a year ago, now running on your phone.

Multimodal LLMs are coming to react-native-executorch in the next release.

Here's a sneak peek of on-device image captioning 👇