... based datasets, and custom dataset-composition experience shown as coming soon are not presented here as released features. Newly collected records are not necessarily newly opened businesses. Data-center counts describe the service s own collection, not a complete census or a guarantee of accuracy. Some listed categories currently have no records, so check the current coverage rather than assuming every category is ready. Feedback I would value For makers who evaluate external business data: what information do you need ...

... Idea: condition an LLM on real census data, have it answer a question as ~400 weighted "people," aggregate like a poll. Getting a plausible distribution was easy. Getting an honest one wasn't on stereotype-magnet questions the model collapses to ~100% one answer. That's its prior wearing a lab coat, not opinion. So I stopped fixing the model and added a gate: measure the spread, and if it collapses, it never ships. That gate ended up being ... ... actual product. When you generate data with an LLM, how do you decide a result is trustworthy vs

... Been playing with "synthetic respondents": condition an LLM on real population data (census + World Bank age/sex), have it answer in character, aggregate like a poll. Two that surprised me: most synthetic US adults still trust Google over an AI answer (but a real minority flipped), and ~77% would trust an AI-simulated business decision "only as an early signal, then verify with real people." But the failures taught me more on some questions the model collapses to ~100% one answer ...

... shrinking. Customers want a fix. An investor wants proof. Which decision do you make first? That is the experience we wanted founders to practice before real money and people depend on their answer. The scale is growing: the U.S. Census Bureau s seasonally adjusted series recorded 5,634,736 business applications in 2025 versus

... Three numbers from it get quoted. Users who saw an AI summary clicked a traditional result in 8% of visits; users who didn't, 15%. Users ended their browsing session 26% of the time with an AI summary present versus 16% without. And the one that should matter most to anyone buying GEO: users clicked a link inside the AI summary itself in 1% of visits. One per cent. That is the click value of the thing the entire optimisation ... ... more often. Just 8% of one- or two-word searches produced one. For searches of ten words or more, 53%. For searches starting with a question word - who, what, when, why - 60%. Sit with that next to the 8%-versus

... Select Industry: Select your specific industry or choose one of the 12 sector presets. Adjust Parameters: : Adjust optional parameters such as positioning, number of work vehicles, and target market. Run Evaluation: Click 'Evaluate Market Feasibility'. Analyze Metrics: Review live Census data, density ratios, and unit economics. Export & Share: Share findings, export a PDF dossier, copy data, or print report. To find business ideas: Select Mode: Click 'I need a business idea'. Set Target Location: Select your target location (City ... ... State, and ZIP code). Filter Investment Capital: Choose an optional startup investment capital level. Scan Opportunities: Click 'Scan Census

... miles of footage, and a stubborn belief that high-end engineering shouldn't cost a fortune. The Journey So Far We ve achieved something I m incredibly proud of in Poland: We powered 20% of the National Traffic Census (GPR 2025) . Our engine has analyzed over 300,000 hours of video data . We turned a process that usually takes weeks into a 48 72 hour automated workflow. Why Product Hunt? The Polish market has been a great proof-of-concept ...

... consumer simulation engine that lets you: Run what-if scenarios on marketing and product decisions Simulate responses across 100,000+ consumer simulations Explore outcomes before launching campaigns or features What s different The simulations are grounded in US Census based demographic and behavioral data Designed for startups making irreversible decisions with limited data Built to complement analytics, not replace them (use it before telemetry exists) Use cases we re seeing Testing positioning and messaging Comparing go-to-market strategies Stress ...

... Product Hunt! I m Adelle, co-founder of Cambium AI we re building a tool that makes it easy to explore U.S. Census, American Community Survey data, and other public datasets using natural language + LLMs. We re looking for 10 20 beta testers to try the early version and help shape what we re building. No code, no spreadsheets, just ask a question and get back usable charts and insights. Example questions: Which states have the highest share of renters ...