Simulate how people respond — before you commit.
Know which idea, price or campaign will land before you spend on it. Thommidhi simulates the people who matter to your decision in hours, not weeks, and shows how often it's been right. For creators, businesses and agencies in India.
What you get
For creators: choose the angle, title and opening before spending weeks making a video; test before publishing without needing live traffic; see who new viewers are and test ideas on the audience you want next; and find out when your instinct is right.
For businesses: pre-test a price, pack, message or campaign before production or media spend; narrow twenty options to three in hours instead of weeks, then take only those to real research; see which groups react differently (city tier, language, parents and students) without a separate study for each.
For agencies: compare positioning, messages, creative and offers across clients from one workspace, and show clients which option leans ahead, who differs and why, before anything is produced.
It is a fast first filter with a published track record, not a replacement for all research.
How it works
Thommidhi builds populations grounded in Indian data, places them in a changing environment, and measures how they respond to a decision. Then it checks every prediction against what really happened.
Not all of India: the people who matter to your decision. State, city tier, language, household, income, family influence, digital access and culture interact; Thommidhi models those relationships, then keeps only the groups that change the answer — the people you serve today, the people you want next, and where they disagree.
How it works, in nine steps
Individuals, a weighted population, segments, relationships between traits, a decision (such as ₹499 or ₹699), simulated responses as probabilities, an aggregate prediction with an interval, the real-world outcome, and calibration from the error.
Why trust it
Every prediction is locked before the outcome exists, then scored against what really happened and against simpler guesses, including the decider's own. The record shows where Thommidhi has been right and where it has been wrong, so you know how much weight to give it for your kind of decision.
Research-grade by default
Predictions are labelled as predictions. Confidence is computed from sample size, separation and track record. Language models explain results but never produce the numbers. Every prediction is later scored against reality, misses included.
One engine, three ways in: businesses, creators, developers
Every simulation runs on the same core: a population model, the context around it, the decision being tested, simulated responses, a locked prediction, and the real outcome it is scored against.
For businesses (pilots with design partners): test a product, price, message or campaign before production or media spend is committed.
For creators (Creator Lab, live): test an idea with the audience you have and the audience you want. Channels connect read-only, and every tested upload is scored against the prediction.
For developers (later): bring Thommidhi populations into your product.
Populations are added region by region and language by language, each validated against real outcomes before it's offered.
Contact: hello@thommidhi.com