I've been building ORBITAISPACE for the past few months and launching this Wednesday.
Here's the problem I kept running into: Every time I had a startup idea, I'd spend days researching market size, competitors, feasibility, investment needed. By the time I finished, I'd either talked myself out of it or lost momentum.
So I built ORBITAISPACE. You type /idea [your concept] and in seconds you get: Market size and TAM Feasibility score across 5 dimensions Competitor landscape Risk analysis with specific fixes Full strategic roadmap with timelines "Your plan says X, but market data shows Y" comparison if you upload a business plans
Curious how other founders approach validation. Do you rely on conversations, landing pages, market research, AI tools, gut feeling, or something else?
We built Orbit to structure this process, but I d love to hear how others currently do it.
Curious how other founders approach validation. Do you rely on conversations, landing pages, market research, AI tools, gut feeling, or something else?
We built Orbit to structure this process, but I d love to hear how others currently do it.
Built for the next era of intelligence
ORIBIT combines breakthrough architecture with responsible AI principles to deliver capabilities that go beyond current limitations.
We re constantly sharing feedback, reporting bugs, and discussing ideas yet those conversations are usually scattered across private tickets, closed chats, or platforms that trade transparency for reach. Important insights get buried, repeated, or lost, and users rarely get to see how their feedback actually shapes a product.
That s the gap we wanted to explore with Sceptrum Community.
This community is built to be open by default, but intentional about privacy and quality. Discussions are public so knowledge isn t locked away, identities are real to reduce noise, and conversations are structured so useful feedback can stand out instead of getting lost in the crowd.
The idea isn t to create another social platform, but a focused space where users can report issues, suggest improvements, and help each other while knowing their contributions matter and remain visible. Less noise, fewer duplicates, and more meaningful collaboration.
Traditional Windows “privacy” tools were built for ads, cookies, and trackers. Sceptrum is built for the AI era — where powerful apps can read your files, watch your screen, and talk to LLMs in the background.
On-device, always
All analysis happens locally on your machine. We don’t collect, upload, or sell your activity data.
Unified visibility
Camera, microphone, file, network, and AI calls — all surfaced in one signal feed you can actually understand.
Sceptrum
