Understand Where You Stand in Science
Siddhanta helps researchers and grad applicants see where their work fits, who is working alongside them, and where the open frontier is — grounded in real, cited papers, never invented.
Science has never been bigger — and it's never been harder to see your place in it. Millions of papers, tens of thousands of researchers, and no map. Whether you're applying to a PhD, choosing a lab, or deciding what to work on next, it comes down to two questions almost nothing helps you answer: where does my work actually fit, and where could it go?
A literature search hands you papers that match your keywords. It doesn't tell you your position in the field, who's already working alongside you, or where the open edge is. So most people do it by hand — reading dozens of papers, guessing at names, hoping they're not missing the person who'd be the perfect collaborator or advisor.
The obvious shortcut makes it worse
The natural instinct now is to ask an AI: *"who works on my problem?"* And it will answer — confidently, fluently, and often with professors who don't exist and papers that were never written. It generates plausible text; it doesn't look anything up. For a decision as consequential as where to aim years of your research, a made-up answer isn't just useless — it's dangerous. Emailing a professor about a paper they never wrote is how a good application quietly ends.
What we're building
Siddhanta is a grounded map of research. You bring your work — a paper, a draft, or an abstract — and we show you:
- the real researchers whose published work genuinely overlaps yours,
- what to read to reach the frontier of your area, and
- the open directions near your work — which are crowded, and which are wide open.
Every one is traceable to a real, cited source you can open and check. We don't rank prestige or predict your odds; we show you where you stand and who's standing near you.
The one principle everything rests on
If we can't ground it in real work, we don't say it. No invented researchers, no invented papers, no invented "novel problems." When the data doesn't support a claim, the claim simply doesn't appear.
That single rule is the whole bet. Anyone can generate a fluent answer; almost nothing will tell you the truth about who's really out there and where the real gaps are. In a moment when AI is flooding every field with confident fabrication, being the tool that only ever shows you what's real is the thing worth building.
Who it's for, and where it's going
Today Siddhanta serves the people for whom research fit matters most — grad-school applicants finding advisors, and researchers finding their next direction — across six STEM fields, and growing. But the goal is bigger than admissions season: everyone doing serious work should be able to see where they stand in science, and where to go next — grounded in what's actually true.
That's what we're building. If you've got a paper or even just an idea, you can map it and see for yourself.