Home / Experiments
Experiments
Each experiment is a real property, tested against a real market.
An experiment either proves there is a business worth building, or it tells us to stop early and cheaply. Both outcomes are useful, so both are kept.
Live properties
These are online now. Every property is a separate project with its own owner, codebase and deployment. DatumHarbor observes them; it does not modify their code or product logic.
The DatumHarbor intelligence network comprises nine independent sites. Multiple specialized intelligence systems covering businesses, problems, failures, scams, AI opportunities, innovation signals, emerging industries, and verified free resources.
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TEST LIVEMoney Machine Intelligence
money.datumharbor.com
How real businesses create value and generate revenue.
- Days Running
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- Signals
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- Inquiries
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TEST LIVEEmerging Industries Intelligence
industries.datumharbor.com
Tracking new industries, markets and technologies before they become crowded.
- Days Running
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- Signals
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- Inquiries
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TEST LIVECommercial Failure Intelligence
failure.datumharbor.com
Why commercial efforts fail, and what is reusable from that.
- Days Running
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- Signals
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- Inquiries
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TEST LIVEProblem Discovery Engine
problem.datumharbor.com
Which problems are commercially real rather than assumed.
- Days Running
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- Signals
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- Inquiries
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TEST LIVEQianmen — Defensive Scam Intelligence
scam.datumharbor.com
How scam patterns can be recognised and defended against.
- Days Running
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- Signals
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- Inquiries
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TEST LIVEEnterprise AI Work Intelligence
aiwork.datumharbor.com
Where real enterprise AI deployment actually stalls.
- Days Running
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- Signals
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- Inquiries
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TEST LIVEGlobal Innovation Radar
radar.datumharbor.com
Which innovation signals are worth acting on.
- Days Running
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- Signals
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- Inquiries
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TEST LIVE生意标本 (GSBI)
case.shengyibiaoben.cn
真实小生意的赚钱机制是否可以复盘复用。
- Days Running
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- Signals
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- Inquiries
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UNKNOWN LIVEFree Harbor
free.datumharbor.com
A verified intelligence directory that discovers and reviews legitimate free tools, credits, and programs for developers, founders, engineers, small businesses, and technical learners.
- Days Running
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- Signals
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- Inquiries
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All nine properties are checked for reachability at every review. Lifecycle shows the publicly verifiable state; signal columns stay blank until first-party measurement exists.
The same properties as a record
The card view and the table below describe the same nine properties. The table is the flat record; the cards are the readable one.
| Property | Domain | Question being tested | Status |
|---|---|---|---|
| Money Machine Intelligence | money.datumharbor.com | How real businesses create value and generate revenue | Live |
| Emerging Industries Intelligence | industries.datumharbor.com | Tracking new industries, markets and technologies before they become crowded | Live |
| Commercial Failure Intelligence | failure.datumharbor.com | Why commercial efforts fail, and what is reusable from that | Live |
| Problem Discovery Engine | problem.datumharbor.com | Which problems are commercially real rather than assumed | Live |
| Qianmen — Defensive Scam Intelligence | scam.datumharbor.com | How scam patterns can be recognised and defended against | Live |
| Enterprise AI Work Intelligence | aiwork.datumharbor.com | Where real enterprise AI deployment actually stalls | Live |
| Global Innovation Radar | radar.datumharbor.com | Which innovation signals are worth acting on | Live |
| 生意标本 (GSBI) | case.shengyibiaoben.cn | 真实小生意的赚钱机制是否可以复盘复用 | Live |
| Free Harbor | free.datumharbor.com | Verified free tools, credits and programs for builders | Live |
Formal per-experiment records — hypothesis, target user, commercial question, lifecycle state, decision and dated timeline — are maintained in the control platform and are not published on this site yet. Until a record has evidence behind it, this page shows only what is directly verifiable: that the property exists and is live.
What a registered experiment will contain
When records are published, each one will state:
The claim
What is being tested, for whom, which problem, and the commercial question it should answer.
Where it is
One lifecycle state, from idea through live testing to proven — or closed.
What was observed
Search, traffic, behaviour and commercial signals, each tied to the evidence behind it.
The decision
Continue, hold, or stop — with the reasoning and the date it was taken.
A stopped experiment is still a result
We expect to stop things. Stopping early is the point of testing cheaply. What must never happen is losing the reason: a stopped experiment stays in the dataset, and its evidence is never deleted.