
robotics geek, creator-led marketing campaigns [email protected]
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Joined August 2019
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Canva just trained its own AI model for editing designs.
Brush plans every change before making it, restyles a design or adapts it to a new format, and keeps edits consistent across multi-page designs.
Canva is done renting AI
Canva just trained its own AI model for editing designs.
Brush plans every change before making it, restyles a design or adapts it to a new format, and keeps edits consistent across multi-page designs.
Canva is done renting AI
ronix retweeted
Anyone who has used AI for design knows the struggle: the first draft looks great, then you ask for one small change and it redraws everything.
That's what Canva built Brush for: it's their own vision-language model for design editing. It reads how the elements fit together and plans the changes before making them.
Last week Canva released Craft, which makes the images. Now Brush, to handle everything after🌸
Introducing Brush: Our first vision-language model for design. 🖌️
Brush sees your design’s layout, layers and vibe the way you do, and edits alongside you. Fix one line of text, restyle a whole deck or build from a blank page.
See what Brush can do 👇
Most voice agents are three models stitched together: speech to text, an LLM, then text to speech.
That's why they sound slow and break mid-call.
Phonic-1 does it end to end, speech to speech in a single model.
That's how voice AI starts to feel like a real conversation
Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company.
We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition.
The best AI agents still need a terminal and a config file. That's why almost nobody uses them.
Robyn turned one sentence into an agent that ranks the week's top GitHub repos and runs every Monday on its own.
That changes who gets to use agents
🤝 Paid partnership
Meet Robyn, the personal agentic platform built around your life and work.
- Tell her what you need in one sentence. No setup, ever.
- Spin up a fleet of agents preloaded with your context that work while you sleep.
- Access it on the web or just text it.
- 20hrs/week saved per user.
I’m Jenny, and I spent 3 years working with Nobel Laureate Eric Kandel, who mapped out memory in the human brain.
We built all of that into Robyn, making it the first AI capable of taking intelligent action.
Invite only access opens today. We’re giving out 1000 invite codes. Link in first comment. Comment "Robyn" for 100 free credits.
Most voice agents are three models stitched together: speech to text, an LLM, then text to speech.
That's why they sound slow and break mid-call.
Phonic-1 does it end to end, speech to speech in a single model.
That's how voice AI starts to feel like a real conversation
Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company.
We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition.
ronix retweeted
Meet Robyn, the personal agentic platform built around your life and work.
- Tell her what you need in one sentence. No setup, ever.
- Spin up a fleet of agents preloaded with your context that work while you sleep.
- Access it on the web or just text it.
- 20hrs/week saved per user.
I’m Jenny, and I spent 3 years working with Nobel Laureate Eric Kandel, who mapped out memory in the human brain.
We built all of that into Robyn, making it the first AI capable of taking intelligent action.
Invite only access opens today. We’re giving out 1000 invite codes. Link in first comment. Comment "Robyn" for 100 free credits.
The best AI agents still need a terminal and a config file. That's why almost nobody uses them.
Robyn turned one sentence into an agent that ranks the week's top GitHub repos and runs every Monday on its own.
That changes who gets to use agents
🤝 Paid partnership
Meet Robyn, the personal agentic platform built around your life and work.
- Tell her what you need in one sentence. No setup, ever.
- Spin up a fleet of agents preloaded with your context that work while you sleep.
- Access it on the web or just text it.
- 20hrs/week saved per user.
I’m Jenny, and I spent 3 years working with Nobel Laureate Eric Kandel, who mapped out memory in the human brain.
We built all of that into Robyn, making it the first AI capable of taking intelligent action.
Invite only access opens today. We’re giving out 1000 invite codes. Link in first comment. Comment "Robyn" for 100 free credits.
meeting notes nobody reads, finally read by someone. it's the agents, via Teamily's shared context, but I'll take it
🤝 Paid partnership
The shared context for your personal and team agents to get work done, smarter and faster.
• Run on any device
• Create any type of artifact
• Chat anywhere
• Work anytime
#SharedContext #TeamAgents #TeamilyAI #iPhoneDuo
Everyone talks about AI for code and writing. Nobody talks about architecture.
Snaptrude just launched an agent that does real building design, and it's been tested on actual projects, not demos.
This space is about to move fast
Today we're launching @snaptrude Agent, the most advanced agent for building design.
It does real design work with you, from a site to a construction-ready LOD 400 model with structure, MEP and drawings. Then can go back to your existing software with your families intact.
About a year ago we bet the company on AI. Honestly the insight came from software engineering. It wasn't long ago that autocomplete felt like a big deal, and now engineers direct agents that write a lot of the code. I think the same shift is coming to how we design buildings, and it's already started.
Most designers I meet aren't short on skill, they're short on time. Take the call every design team dreads, the client cuts the budget by 30%. Today that's a bad month for everyone. With the agent you're the director. You decide where the cost comes out, and it updates the layout, coordinates the structure and MEP, and redoes the drawings. So when design exploration gets this cheap, we go from 3 options to 300, and more options means better buildings.
Since August our users have gone through more than 140 billion tokens, and firms like Jacobs, Studio+, Kajima, VMDO, Dekker and hundreds of others use Snaptrude today. In our early access, more than 2,000 designers have run over 25,000 tasks through the agent since September.
We also built a benchmark for this, AECBench, because in AEC an almost correct answer is still wrong. It gives AI the same brief an architect would get, has its design in a real BIM model, and scores the result against the brief and against how architects review design. We're publishing the first results today, link below.
Thank you @prashanthp at @Accel and Shub and the team at @foundamental for backing us when this was still a bet, and the Snaptrude team, who built every bit of this. Really proud of you all.
Thanks to our investors, @scottbelsky, @andreasklinger, @thilokonzok, @immad, @CindyXBi, @DanilaVladi, @jmwass, rahulchaudhary, @adamecourt, Zach Ginsburg, Alex duff, Paul grossinger, really appreciate all the help along the way.
Companies are going to have more AI agents than employees at some point.
Someone has to manage who they are and what they can access.
That's what Mintive is building, and with 50+ paying customers already, it's clearly needed.
Big space to watch
ronix retweeted
this morning i opened wabi and it already had my day sorted
it reminded me about dinner with my friends tonight, a bill due on friday and my mom's birthday next week, all pulled from different threads without me asking
it's the first ai i've used that feels like it actually knows what's going on in my life
wabi raised $55M, and honestly, they're among the ones who deserve it most
Today, I’m excited to share that we’ve raised $55M in Series A funding at a $1.25B valuation, led by @IVP, with support from @a16z, @ForerunnerVC, and an incredible group of founders and investors including @Benioff, @tobi, @dickc, and @marissamayer.
Everyone has an operating system for their phone. We’re building one for your life.
Right now, life is scattered across apps, group chats, calendars, and tabs. You’re the one connecting the dots and keeping everyone on the same page.
@wabi is a personal AI that helps you get your whole life organized. It brings your people, context, and apps together so you can coordinate plans, share the mental load, discover new things, and show up for each other.
Because AI shouldn’t just help us get things done. It should help us do more of what we love, with the people we love.
Join us 👇
Chicos, por fin alguien resolvió el problema más jodido de los agentes de voz: que te dejen hablar y que el modelo pueda hacer cosas mientras tú sigues hablando.
Deja les explico con calma porque esto es diferente de todo lo que hemos visto hasta ahora:
La mayoría de los agentes de voz que usamos hoy son cascadas. Transcriben lo que dices a texto (STT), el LLM piensa, y después un TTS genera el audio. Eso tiene tres problemas reales:
- Pierdes tono, ritmo y pausas porque pasas por texto.
- Mete latencia en cada paso.
- El modelo tiene que esperar a que te calles para “pensar” y decidir si llama una tool. En una llamada larga o con ruido eso se siente rígido y te corta el flujo.
Phonic-1 es speech-to-speech nativo. Procesa el audio directo, es full-duplex y, según ellos, es el único que puede hacer tool calls mientras tú todavía estás hablando. No dice “déjame chequear eso” y se queda mudo. Busca, confirma o dispara la acción sin romper la conversación.
En el demo de 44 minutos (123 tool calls) se ve exactamente eso: cambia de idioma a mitad de frase, no interrumpe cuando no debe, ríe en portugués en el momento correcto y resume al final sin perder el hilo. Eso es más difícil de lo que parece cuando tienes que mantener la misma voz y la coherencia durante media hora.
En benchmarks públicos salen primeros en el Artificial Analysis Speech to Speech Index(sé lo que pensamos de Artificial Análisis chicos pero calma jajajaja) y lideran en performance agentica (τ-Voice) con la latencia más baja entre los top.
Eso sí, no es que los agentes suenen más “humanos” sacrificando inteligencia; el claim es que no hay tradeoff fuerte.
Este proyecto lo lleva un equipo de ~10 personas TOP del MIT, Stanford y CMU.
Vale la pena probar el demo si andas en esto.
Es next level!
Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company.
We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition.
ronix retweeted
SOMEONE BUILT A CUTE CRAB ROBOT AND OPEN-SOURCED IT 🦀
→ Designed and built by a Chinese maker
→ Fully open source
→ He gave away 100 crabs for FREE
→ To encourage fun remixes and creative new uses
This is what open hardware should look like.
Bookmark this and follow me for more → @karlarboledas
ronix retweeted
Your coding agents are fast now.
The problem? They can move just as fast in the wrong direction.
Miss one update, and they can spend days building the wrong thing - costing you tokens and engineering time. That's why devs are still glued to their monitors.
Meet Serro: the Agentic TPM.
It keeps your people and coding agents working from the same evolving program. 👇 @serroai
ronix retweeted
Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company.
We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition.
Companies are going to have more AI agents than employees at some point.
Someone has to manage who they are and what they can access.
That's what Mintive is building, and with 50+ paying customers already, it's clearly needed.
Big space to watch
















