Traditional vector databases were built for flat PDF chatbots. But AI is moving to autonomous agents and robotics. 🤖
Today, we are thrilled to announce HyperspaceDB v3.0 LTS: The world’s first Spatial AI Engine. https://t.co/JvZRRMvCb7
Pivot announcement.
Everything we shared before was real.
Everything we’re building next is bigger.
We didn’t pivot features.
We pivoted the layer we’re operating on.
We’re not building another LLM.
We’re making every LLM significantly better than it is today.
Security.
Context.
Compression.
Latency.
Cost.
This is the line between before and after.
We call it Digital Thalamus 🧠
More details soon.
Developer access + investment round opening shortly.
#pivot #AI #Infrastructure #LLM #DeepTech #BuildInPublic #Startup
https://t.co/Hfp9a1fyok
This year, two technologies will finally arrive — the ones the market has been missing for a long time:
1️⃣ An AI Firewall — accessible to every user, not just enterprises
2️⃣ A truly unlimited context window — for any LLM
And yes — we’re the ones bringing both of them to life. 🚀
Stay tuned. This is just the beginning.
#LLM’s for rich & stupid people. #SLM’s for real experts. We build an AI-first assistant that use more that 50 SLMs and it smarter, faster and affordable that any of our competitors (#ManusAI, #GensparkAI and others) soon we will show you first beta and benchmarks.
@yar_chain 👍Customer-focused, painstaking work aimed at making people's lives easier and better will certainly find a worthy response and appreciation from society.
The moment of our public launch is getting closer — every day we’re spending more time perfecting UI/UX and less time adding new features.
We’re polishing prompts, running comparisons, measuring how much time and money users save, and exploring which cases are only possible in our system (and not in others).
And I think it’s finally time to start sharing what makes our product truly different.
Starting today, I’ll tell one story every day.
***
Here’s Story #1 — “Not a Personal Assistant.”
⸻
Our competitors are building personal AI assistants — powerful, multifunctional, but completely disconnected from the real world.
They can’t take a call.
They can’t talk to someone on your behalf in a chat.
They can’t transcribe or summarize your meeting.
They can���t join Zoom or Google Meet.
They can’t manage cross-posting, content planning, or help you write messages and emails.
Sure — they can do some of these things, if you connect 10–20 different services. But a single assistant? Nope.
And the worst part? You can’t make that assistant truly yours.
Our product can.
We call it Skill Agents — lightweight AI agents that specialize in one or a few small tasks, activating only when needed by the main AI.
They’re not MCPs. They don’t clog up context windows or waste resources.
They work like muscle memory — always ready, automatically supporting your workflow without you even noticing.
Skill Agents learn to be useful specifically for you, exactly where you need them most.
⸻
This is how we’re redefining what “personal AI” really means.
#AI #ProductLaunch #Innovation #SkillAgents #Automation #FutureOfWork #AIAssistant #Startup #BuildInPublic
I’m a fan of complex projects.
Yeah, I know — every investor and every founder loves to say:
“Just build an MVP fast and raise your round.”
But here’s the thing — I use 10–20 products that followed that path, and I’m not happy with any of them.
Doesn’t matter who built them — Google, OpenAI, Microsoft, Apple, or an indie dev.
I want to build products I actually enjoy using myself.
I allow myself to create something that hundreds of thousands of people will truly need, and something most of them will love from the very first minute they try it.
I’m genuinely happy to build something big, something meaningful, something that helps every single user become better.
#startups #founder #productdesign #innovation #MVP #buildinpublic #vision #tech #founderlife
Over 14 years in software development — as a system architect — and I still have a love–hate relationship with frontend.
I love it because every change is visible instantly.
I hate it because testing frontend architecture is pure hell — and nearly impossible to automate.
And now we’ve reached that point again — we can’t move forward on the backend until we finish the frontend. Three weeks in, and it’s been painful:
“Write the cases.”
“Define the logic.”
“Document the behavior.”
React Native? Meh. Flutter’s better — but no free devs.
Tailwind? Sure.
Actually, no — let’s rebuild it all in Tamagui. 😅
The only thing keeping me sane is knowing that once this iteration is done, we’ll move to my favorite stage — bringing backend magic into the frontend.
Yes, there will be new challenges and pitfalls, but watching functional updates appear every hour — that’s a kind of joy only builders understand. Especially when you know you’re making something better than anything else out there.
#devlife #frontend #backend #reactnative #flutter #tamagui #softwareengineering #startuplife #buildinpublic
Our Go-to-Market strategy is simple — much simpler than our competitors’. Let me explain with an analogy:
Think of the cloud market: AWS, GCP, and Azure.
Powerful? ✅
Expensive? ✅
Complex to set up? ✅
That complexity creates unnecessary costs for most users.
Then there’s DigitalOcean — deploy the infrastructure you need in minutes. Perfect for 99% of users with limited budgets.
Our strategy? The same principle.
We’re building an AI agent with a unique architecture that anyone can use in under one minute.
Sure, N8N, Opal, Agent Builder exist — but those are tools for developers, no-code or low-code. Still mainly for developers.
We’re making AI accessible to everyone, without technical friction.
We believe AI mass adoption has already started.
Our mission is simple: make it easier, more effective, and more accessible than ever before.
#AI #GoToMarket #Innovation #NoCode #LowCode #MassAdoption #DigitalTransformation #EcosystemAI #CreatorsFirst