Founders and product teams
Find opportunities
Which audience, need, or product direction are you exploring?
- Needs worth testing
- Current workarounds
- Evidence and alternative explanations
- Next validation steps
Cross-platform data & research
Find opportunities. Understand your audience. Track what changes.
Turn scattered platform content into usable data, evidence-backed findings, and changes worth following. Spend less time connecting tools, maintaining collectors, and organizing mismatched outputs. Need only the data? Take it on its own.
Website live · Workspace not yet open
Built around your question
Start with something worth understanding.
Define what you want to understand, then choose data, research, or change tracking. These are the product workflows; online tasks are not yet open.
Marketing, growth, and content teams
Understand customers
Which audience, product, or choice do you want to understand?
- Usage situations
- Words from the material
- Concerns and trade-offs
- Messaging hypotheses to test
Researchers and analysts
Follow a topic
Which topic do you want to understand and keep following?
- Current perspectives
- Open questions
- Newly observed material
- Coverage and uncertainty
Brand, PR, and commerce teams
Brands & competitors
Name a brand or product and what you want to follow. A competitor is optional.
- Specific feedback
- Changes worth checking
- Comparable material when available
- Rules and delivery status
Analysts, developers, and agent teams
Get data
Enter keywords or a supported platform content URL.
- Source material
- Fields and collection scope
- Missing-data notes
- CSV or JSON export
Public synthetic example
The data. The finding. The source.
Explore a fixed DemoBottle example to understand the output. These three authored records are fictional, not real customer feedback.
D
Synthetic sampleDemoBottleProduct feedback study
| Platform | Original text |
|---|---|
| Xiaohongshu | 我这次把杯子横放在背包里，杯盖附近有一点漏水。 |
| Douyin | 我放在桌面用了一周，没有遇到漏水，清洗也方便。 |
| Douyin | 我觉得价格高，目前还是继续用旧杯子，没有买。 |
Same bottle. Different conditions.
One sample describes a leak when carrying the bottle sideways. Another reports no leak during desk use. The useful question is what changes between those conditions.
Supporting and conflicting accounts, together
This example illustrates how to read evidence. It does not establish a product defect, audience proportions, or willingness to pay.
Authored synthetic records with no real source URL. Original text stays the same when you switch languages.
xiaohongshu-A-c1我这次把杯子横放在背包里，杯盖附近有一点漏水。douyin-A-c3我放在桌面用了一周，没有遇到漏水，清洗也方便。douyin-A-c4我觉得价格高，目前还是继续用旧杯子，没有买。Data on its own
Need only the data? Take the source material.
Give your analysis tools and agents traceable, usable material. Inspect original text, provenance, and missing fields, then export in a structured format.
Both files contain only the three fictional records above. A null source_url means there is no real original link.
{
"id": "xiaohongshu-A-c1",
"platform": "Xiaohongshu",
"original_language": "zh",
"original_text": "我这次把杯子横放在背包里，杯盖附近有一点漏水。",
"source_url": null,
"synthetic": true
}Current availability
Explore the example Get to know the product.
The website and synthetic examples are available now. The online workspace, live data tasks, and monitoring alerts are not yet open. Pricing and access details will follow when the service is ready.
FAQ
A little more context.
Can I submit a data or research task now?
Not yet. This website offers a product overview, an interactive synthetic example, and sample downloads. The online workspace will open later.
Does the example verify live data access?
No. It illustrates output structure and evidence review. Live sources, fields, and task scope will depend on the services actually made available.
How do data, research, and change tracking fit together?
Data can be delivered on its own. Research builds findings from that material. Change tracking compares the next observation for new, updated, and no-longer-observed records.