Most AI tools know the internet.
BunnyQuery knows your business.
Upload your documents, spreadsheets, reports, and notes.
Ask questions. Generate reports. Create content. Share your AI with your team or customers.
https://t.co/5waguONZQI
Most developers:
Auth → Service A
Database → Service B
Emails → Service C
Hosting → Service D
Notifications → Service E
Then wonder why their "simple MVP" takes 3 weeks to configure.
With @Skapi_api, you can handle everything from one platform.
#database#aitool#hosting
BunnyQuery is powered by Skapi.
Why?
⚡ 41.59ms average query speed
⚡ 12ms real-time latency
⚡ 45MB/s uploads
⚡ 5,000+ concurrent users
⚡ Built-in auth
⚡ Developer-friendly API
AI memory is an infrastructure problem.
Skapi makes real-time AI memory actually possible.
#AI
Most AI-generated apps still fail at the same point:
state + user data + backend infrastructure.
That’s why the real opportunity now isn’t “more AI.”
It’s simplifying the infrastructure layer underneath AI-generated products. That’s why you need Skapi + BunnyQuery.
Everyone talks about AI.
Nobody talks about the infrastructure AI actually needs - memory, storage.
Without those, AI is just a chatbot.
BunnyQuery gives AI apps a real backend, so they can work with live user data, remember context, and act like actual applications.
AI already eliminated half of frontend work.
So why are developers still spending days configuring:
- auth
- databases
- storage
- APIs
- vector DBs
- embeddings
@Skapi_api and BunnyQuery were built around one idea:
developers should build products, not infrastructure.
Your stack is too complex
You don’t need:
→ 5 services
→ 3 layers
→ “future-proofing”
You need:
→ data
→ logic
→ speed
Complexity slows you down. Use @Skapi_api and BunnyQuery instead of backend boilerplate.
#buildinpublic#startups#devtools#AI#nocode
AI without your data = guessing
AI with your data = useful
Most outputs feel generic because
AI doesn’t know your:
→ business
→ users
→ history
Context is everything. And it is there with Skapi & BunnyQuery database.
Yes, can be safely used with AI.
#AI#devtools#nocode
Most apps don’t need a “real backend”
They need:
→ store data
→ read data
→ simple hosting
Everything else is overhead
Try it: https://t.co/5waguONZQI
#buildinpublic#startups#devtools#AI#nocode
@yabsssai@ChatGPTapp@claudeai thank you for building with us! we designed our own database system based on a simple key value storage. while keeping the db layer itself simple for scalability, we utilized lexicographical ordering methods in our own special way to make flexible indexing possible
Small shift in how we use AI ↓
Before:
AI → copy → another tool → repeat
With Skapi (soon in ChatGPT & Claude Code):
→ store data
→ use it instantly
→ build on top of it
AI + your data = real workflows
More soon
#AI#buildinpublic#devtools#startups#nocode
Big milestone for Skapi 🚀
Feels less like a number… more like a stadium full of builders using our backend, auth, and hosting every day.
Next step: Skapi + Bunny Query inside @ChatGPTapp & @claudeai
Store and use your data directly through AI
More soon 👇
#AI#database
We’re building a simpler @Skapi_api product inside @ChatGPTapp & @claudeai.
Same foundation, but focused on essentials: database + hosting.
Upload your data once → ask AI to use it → get real outputs instantly.
Built for developers and non-devs.
More soon 👇
#AI#buildinpublic
We’re launching a simpler Skapi product inside ChatGPT & Claude Code.
Built on Skapi, but focused on essentials: database + hosting.
Based on Skapi technology. Explaining it here 👇
https://t.co/5CxfqI38Yi
#AI#buildinpublic#startups#nocode#devtools
A small “behind the scenes” from what we’re building at @Skapi_api 👇
We’re creating a new product on top of Skapi, designed not just for developers, but for anyone.
The idea: make a developer-first tool accessible through AI.