If a product charges extra for AI features, is it really an "AI Product"? Genuine AI products integrate intelligence without extra costs.

LMAO

git push deploy → anywhere. Period.

Cloud? Edge? Device? The code doesn't care. Neither should you.

AI belongs at the edge, but deployment workflows are stuck in the past.

Who's working toward a future where deploying AI to edge devices is as easy as spinning up a cloud instance?

Would love to connect.

Edge-native should be developer-friendly.

The cloud gave us smooth CI/CD, managed infrastructure, and scalable services. Why should deploying software to the edge be any different?

What if deploying to the edge felt just like the cloud?

- No brittle orchestration.
- No fragmented data.
- No hidden complexity.

Just code, deployed where you need it. That’s what we’re solving.

If edge AI was as easy to deploy as cloud AI, what would you build?

Scalability, reliability, and ease of deployment shouldn’t be exclusive to the cloud.

We should be working on a future where deploying AI and software at the edge is just as seamless.

We believe deploying software—whether in a data center, on a device, or across a fleet—should be indistinguishable from deploying in the cloud.

Let’s make that a reality.

Edge is where software meets hardware innovation.

The real winners? Developers who start building for a local-first future today. 🚀

Chip makers aren’t just making CPUs anymore. AI accelerators, NPUs, and edge-optimized silicon are driving local-first software.

The future isn’t in the cloud—it’s on your device.

Every chat with chip makers hits on the same note: the future is all about local software. They're betting big, convinced this is the direction software's heading in the next 5-10 years.

🏙️ Smart cities aren’t just ‘IoT in the cloud’—they need real-time AI at the edge.

Modern software: Takes 3 seconds to load a settings page.

1995 software: Opens instantly on a potato.

Progress.

Cloud-first software is amazing! 🌥️

It lets you pay monthly to access your own files and breaks the moment WiFi flickers. Truly revolutionary. ⚡

🔽 Why are we still designing software like the cloud is the only option?

🚀 We spent a decade making software cloud-dependent. Now we’re paying for it:

❌ Latency
❌ Vendor lock-in
❌ Privacy nightmares

The next era? Local-first software and Edge Compute—where apps actually work without checking in with a data center.

Edge compute will rewrite how we experience software

Remember when we thought AI needed massive data centers?

Now we're running GPT-style models on phones. The convergence of hardware NPUs and model distillation is rewriting the rules of what's possible 🔄 #EdgeAI

Your model is too big'
• My PC: Nah
• The cloud: Whatever
• This tiny IoT device: Listen here you little... 📉

#EdgeAI

Developer life:

- 2020: "My model needs a data center."
- 2022: "My model needs a GPU."
- 2024: "My model runs on a potato with a WiFi chip."

Progress? 🥔

Local-first

Cloud-last

That is the Source way

Cloud-first was a phase. Local-first is the future.

Sometimes, you just want to open an app without waiting for a server handshake.

Edge AI is inevitable.

Either deploy models locally, or keep setting money on 🔥 in a hyperscale data center. Your call.

Big Tech: "Edge AI isn’t ready yet."

Also Big Tech: Silently deploying on-device AI while charging you for cloud inference anyway.

"We need to centralize all AI processing into mega-scale data centers!" says someone, while their phone does real-time object detection in the camera app.

Everyone’s training models in the cloud, but inference is shifting to the edge.

In 5 years, AI will run where the data lives—on phones, cameras, sensors, and local devices.

Edge AI game-changer: New ARM chips with dedicated ML cores cost less than a coffee.

We're entering an era where every device—from soil sensors to street lights—can run AI models locally.

Mind-blowing: Modern surveillance cameras run object detection, behavior analysis, and anomaly detection *without* cloud connection.

Edge compute + Edge AI are redefining what's possible. 📸