marketing for ambitious founders | @aiscwork 📩 [email protected] twitch partner: https://xitter.cf/t.co/Gxn4V4aHdi
Madrid
Joined June 2014
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Ryoru 𒌐 retweeted
CLAUDE PUEDE ENCONTRAR TRABAJO POR TI
Un científico danés programó a claude para que busque trabajo por él y lo acaba de hacer público.
Mandar CVs es uno de los trabajos más absurdos del mundo: copiar, pegar, adaptar, personalizar, repetir.
Todo manual, todo lento, todo para que lo lea un algoritmo antes que un humano.
Este sistema:
→ Analiza la oferta de trabajo automáticamente
→ Genera un CV personalizado para cada puesto
→ Redacta la carta de presentación adaptada al contexto
→ Todo lo hace Claude por debajo, sin que toques nada
→ Open source, ya en +32K stars en GitHub
El tío que debería estar buscando trabajo ha construido la herramienta que lo busca por él.
Aquí te explico cómo usarlo👇
(repo al final del hilo)
Ryoru 𒌐 retweeted
SIGAN A ESTA PERSONA NO DIGO NADA MÁS...
Introducing P-Video-2-Pro-Avatar, based on @MiniMax_AI H3 !
Turn a single portrait into a realistic talking video with natural expressions and accurate lip sync.
And for launch, it's 50% off for the first two weeks, until November 5 at 18:00 CET!
• 𝗣𝗿𝗶𝗰𝗶𝗻𝗴: $0.02/s at 480p · $0.04/s at 768p
• 𝗦𝗽𝗲𝗲𝗱: ~0.97 s at 480p · ~2.2 s at 768p per second of output video
• 𝗜𝗻𝗽𝘂𝘁: One portrait with a text script or uploaded audio
• 𝗩𝗼𝗶𝗰𝗲𝘀: 30 voices across 10 languages
• 𝗗𝘂𝗿𝗮𝘁𝗶𝗼𝗻: 1s–3min at 24 fps, in 480p or 768p
• 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Voice delivery, scene motion, seed, and prompt upsampling
One image, two ways to bring it to life. Use your own audio or generate speech directly from text.
Available via our inference partners @replicate, @eachlabs, @Cloudflare, @scenario_gg, @wavespeed_ai, @WiroAI, Sociaro, @TellersAI, and @togethercompute.
📚 Model docs: docs.api.pruna.ai/guides/mod…
🧩 Try the model through the API or Playground: dashboard.pruna.ai/login
Ryoru 𒌐 retweeted
the weirdest part of buying training data is having to commit before you really know what you're getting
weeks of outreach, NDAs and quality checks just to find out a dataset doesn't fit
@DataVendor_ai lets labs inspect the evidence first and sample tasksets in their own HUD team before buying
this should've existed years ago
We're announcing the public beta of datavendor.ai
We spent the last two years building the best solution for people buying and selling data, whether you're a researcher in a lab or a company trying to sell data.
Data is the fundamental bottleneck for AI progress, and DataVendor will be the infra that solves it.
the weirdest part of buying training data is having to commit before you really know what you're getting
weeks of outreach, NDAs and quality checks just to find out a dataset doesn't fit
@DataVendor_ai lets labs inspect the evidence first and sample tasksets in their own HUD team before buying
this should've existed years ago
We're announcing the public beta of datavendor.ai
We spent the last two years building the best solution for people buying and selling data, whether you're a researcher in a lab or a company trying to sell data.
Data is the fundamental bottleneck for AI progress, and DataVendor will be the infra that solves it.
Ryoru 𒌐 retweeted
content creators with this
Introducing P-Video-2-Pro-Avatar, based on @MiniMax_AI H3 !
Turn a single portrait into a realistic talking video with natural expressions and accurate lip sync.
And for launch, it's 50% off for the first two weeks, until November 5 at 18:00 CET!
• 𝗣𝗿𝗶𝗰𝗶𝗻𝗴: $0.02/s at 480p · $0.04/s at 768p
• 𝗦𝗽𝗲𝗲𝗱: ~0.97 s at 480p · ~2.2 s at 768p per second of output video
• 𝗜𝗻𝗽𝘂𝘁: One portrait with a text script or uploaded audio
• 𝗩𝗼𝗶𝗰𝗲𝘀: 30 voices across 10 languages
• 𝗗𝘂𝗿𝗮𝘁𝗶𝗼𝗻: 1s–3min at 24 fps, in 480p or 768p
• 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Voice delivery, scene motion, seed, and prompt upsampling
One image, two ways to bring it to life. Use your own audio or generate speech directly from text.
Available via our inference partners @replicate, @eachlabs, @Cloudflare, @scenario_gg, @wavespeed_ai, @WiroAI, Sociaro, @TellersAI, and @togethercompute.
📚 Model docs: docs.api.pruna.ai/guides/mod…
🧩 Try the model through the API or Playground: dashboard.pruna.ai/login
Ryoru 𒌐 retweeted
why should accessing AI models come with an extra markup?
sume API is taking a different approach: image and video models at their original public API prices, with a familiar UI and MCP support for Claude and ChatGPT.
the real value should be in what you build with AI, not extra layers of markup.
try Sume.com today and save 50% on AI video costs!
As a builder in the AI video space, I was terrified about how much markup API providers charge for simply routing the models.
Higgsfield API adds a 40% markup even with its maximum advertised discount. Fal adds 100%. Runway adds 414% (Seedance 2 480p)
I might be hated by the industry, but :
Today, we’re launching Sume API, the first image & video model provider with 0% markup.
For example with Seedance 2.5 1080p
• 50% cheaper than fal
• 50% cheaper than higgsfield api (29% even with biggest discount)
• 28.02% cheaper than kie ai
The routing infrastructure layer is never the moat. We believe that APIs should be commoditized, and the moats will be built at the application layer.
Check the pricing comparisons below, and see how the broken industry is saved.
Ryoru 𒌐 retweeted
🚨 JUST FOUND A COMPANY THAT MAKES AI BREAK YOUR APP BEFORE YOUR CUSTOMERS DO
your tests pass. everything looks good. then production finds a way to break it.
here's what this company is building:
→ creates a realistic world around your actual software
→ simulates users, old data and failing services
→ finds bugs that ordinary tests might miss
→ fixes them and verifies the solution
it even checks for those bugs again with every new release.
imagine catching the problem before your customers ever notice it.
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai
Ryoru 𒌐 retweeted
this will actually save a shit ton of money for small dev teams and vibecoders ngl
if AI writes your code and nobody really tests it, your users end up doing the QA
breken breaks your app in a fake prod first and fixes what it finds
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai
🚨 JUST FOUND A COMPANY THAT MAKES AI BREAK YOUR APP BEFORE YOUR CUSTOMERS DO
your tests pass. everything looks good. then production finds a way to break it.
here's what this company is building:
→ creates a realistic world around your actual software
→ simulates users, old data and failing services
→ finds bugs that ordinary tests might miss
→ fixes them and verifies the solution
it even checks for those bugs again with every new release.
imagine catching the problem before your customers ever notice it.
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai
the most interesting products are often the ones that make complicated things feel simple.
markets can be intimidating for people who aren't already deep into the space, so building an experience around fun and engagement could be a smart move.
curious to see what dailyfun has planned for the beta.
Today we’re rolling out @dailyfun
We're making markets ridiculously fun to play, and we're just getting started.
Join our beta today.
Ryoru 𒌐 retweeted
🚨 AI AGENTS CAN NOW USE PHONES LIKE HUMANS DO
Until now, AI agents were mostly stuck in browsers and computers.
PhoneUse is changing that.
It gives AI agents their own phones in the cloud, accessible through an MCP or API.
And this unlocks something huge:
→ Use apps that don't have an API
→ Navigate real Android and iPhone interfaces
→ Read notifications and react to incoming messages
→ Complete tasks inside apps that agents couldn't access before
Think about it:
1. Your flight gets delayed
2. Your agent receives the push notification
3. It checks your calendar
4. It texts Alex with the updated pickup time
No need to open the app or explain what happened.
The agent handles it.
The internet isn't just websites. It's also the apps we use every day.
And now agents can reach them too.
phoneuse.com
Ryoru 𒌐 retweeted
🚨 AI AGENTS CAN NOW USE SHOPPING APPS LIKE HUMANS DO
Most AI agents can recommend what to buy.
But actually navigating a shopping app? That's a different story.
PhoneUse gives AI agents their own phones in the cloud, letting them interact with mobile apps through their actual interfaces.
Here's what that unlocks:
→ Search for products
→ Browse results inside shopping apps
→ Navigate interfaces built for humans
→ Automate tasks that would otherwise require manual interaction
Why this matters:
Most mobile apps weren't built with AI agents in mind.
Many don't expose the APIs agents need, leaving them locked out of the apps people use every day.
PhoneUse gives agents another way in.
The next step isn't just AI telling you what to buy.
It's AI helping you get things done.
phoneuse.com
Ryoru 𒌐 retweeted
UO: if a single kling 4.0 generation on higgsfield can replace your whole workflow, the problem was never the AI
🤝 Paid partnership
Ryoru 𒌐 retweeted
🚨 THE AI VIDEO GAME JUST CHANGED
Kling 4.0 is live on Higgsfield.
The biggest upgrades:
→ 30-second scenes in one pass
→ Audio generated alongside the visuals
→ Control over key moments in a scene
→ Character consistency across generations
Until now, AI video was mostly about generating impressive clips. Now we're getting closer to producing complete scenes without the usual patchwork of tools and edits.
This is a serious step forward. Check this 👇
🤝 Paid partnership
🚨 THIS IS ACTUALLY INSANE
Kling 4.0 just dropped on Higgsfield.
You can now generate scenes up to 30 seconds in one pass, with characters, objects and audio in the same generation.
You can even control the start, middle and end frames.
We've gone from generating random AI clips and stitching them together to actually directing scenes.
And native 4K is coming next.
AI video is moving ridiculously fast.
🤝 Paid partnership
Ryoru 𒌐 retweeted
🚨 DID THEY JUST KILL VIDEO PRODUCTION COMPANIES?
Kling 4.0 is now live on Higgsfield.
→ 30-second scenes in a single generation
→ Characters, objects and audio together
→ Control over the key frames
→ Consistent characters across generations
No stitching dozens of clips together.
No manually syncing every sound.
No traditional shoot required to explore an idea.
Traditional production isn't going away overnight.
But the cost of creating cinematic content is about to change dramatically.
🤝 Paid partnership
Ryoru 𒌐 retweeted
🚨 ¿SE ACABAN DE CARGAR LAS PRODUCTORAS DE VÍDEO?
Kling 4.0 ya está disponible en Higgsfield.
Puedes generar escenas de hasta 30 segundos, con personajes, sonido y objetos en una sola generación.
Sin montar decenas de clips.
Sin sincronizar todo manualmente.
Sin necesitar un rodaje tradicional para cada idea.
No significa que el cine tradicional vaya a desaparecer mañana, pero sí que tú o yo vamos a poder crear grandes obras audiovisuales desde casa y sin contar con un gran equipo detrás. Y todo a un precio de risa
🤝 Paid partnership
Ryoru 𒌐 retweeted
🚨 YOUR APP CAN PASS EVERY TEST AND STILL FAIL IN PRODUCTION.
because real software gets messy in ways nobody planned for.
Breken puts your actual software through scenarios like:
→ users doing things at the same time
→ old background jobs running after things have changed
→ services failing halfway through a task
→ servers restarting at the worst possible moment
it finds what breaks, works on a fix and verifies that it works.
then it keeps checking for the same bugs on future releases.
the idea is to find the problems before your customers become the ones reporting them.
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai
Ryoru 𒌐 retweeted
🚨 ACABAN DE FILTRAR LA IA QUE ENCUENTRA LOS ERRORES DE TU APP Y LOS CORRIGE POR SÍ SOLA
Se llama Breken y funciona así:
→ crea un mundo falso alrededor de tu app, con usuarios, datos y servicios que fallan
→ hace que pasen meses en una sola tarde
→ encuentra lo que se rompe antes de que lo vean tus clientes
→ lo arregla y demuestra que el arreglo funciona
Ya ha arreglado +200 fallos en proyectos como PostHog, Docker o Langflow, y sus desarrolladores le están dando las gracias.
Puedes probarlo gratis 7 días con tu cuenta de GitHub, sin poner tarjeta.
Tus clientes no deberían ser los que encuentren tus errores.
Links en comentarios ↓
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai
Ryoru 𒌐 retweeted
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai