No made-up market sizes
A big number is the easiest thing to invent. This tool may only give a market size it can tie to a dated source; anything else is marked unknown.
Validate a product idea with AI. Before you spend money on it.
DFIRST Market validation is an AI tool that helps you validate a product idea against public evidence. Describe the idea and its target market, and it searches the web, then assesses demand signals, alternatives, barriers and evidence gaps and proposes low-cost validation experiments. Market-size numbers appear only when tied to a dated source.
- Demand, alternatives and barriers
- Low-cost tests to run next
- No market size without a source
Works with
What you get. Evidence, gaps and next tests.
Two shortened results. In the real ones, every source is a link with its date.
Example output
A ZESTA multipack for offices in Barcelona
Demand signals: office suppliers in the city list sparkling water among regular orders. Source: a 2026 office supplier catalogue.
Alternatives: filtered water taps, large still-water bottles and soft-drink multipacks.
Barriers: fridge space, and offices that buy everything through one supplier.
Market size: unknown. No dated source found.
Experiment: offer a trial box to ten offices and track who reorders within a month.
Example output
Prescription lenses for MAREA, online in Germany
Evidence gap: no dated source on how many shoppers want prescription sunglasses online, so it is marked unknown.
Experiment: add a notify-me button for prescription lenses on two frames and count sign-ups for four weeks.
How to validate an idea with DFIRST.
Three steps. The first one starts on this page.
- 01
Describe the idea
Write the product idea and its market in the box above: who it is for, where, and what you already know. Say what it should not assume, such as a budget or a market size.
- 02
DFIRST weighs the evidence
It searches the web for demand signals, existing alternatives and practical barriers, with links and dates, then writes an assessment that keeps findings apart from recommendations.
- 03
Plan the next test
You get the assessment with its evidence gaps and a set of low-cost experiments to run before you commit. It is saved to your session and your Data Room.
Made for brands. Not a blank prompt box.
Built to find the weak spots
Alternatives, barriers and evidence gaps get as much room as demand, so the result tells you what could stop the idea, not only why it might work.
Tests, not verdicts
The assessment ends with low-cost validation experiments, so the real answer comes from your future customers rather than from a model's opinion.
Who uses it.
Founders
A first look at the evidence before building a product or pitching it.
Product and brand managers
Market validation research for a line extension, a new country or a new format.
Agencies and consultants
A sourced starting point for a client workshop on a new product.
At a glance.
The facts about Market validation, as it works in DFIRST today.
- Input
- Your idea and the market it is for
- You get
- Demand signals, alternatives, barriers, evidence gaps and low-cost experiments, with source links
- Market size
- Only with a dated source; otherwise marked unknown
- Model
- Gemini 3.8 Flash with web search
- Where it goes
- Your session and your Data Room
Questions people ask.
About Market validation and how it fits the rest of DFIRST.
How do I validate a product idea with AI?
Describe the idea and its target market in the box at the top of this page and continue in DFIRST. It searches the web for evidence, assesses demand, alternatives, barriers and gaps, and proposes low-cost experiments to test the idea before you invest.
Is this real market validation research?
It is desk research from public web sources, with links next to claims and dates on figures. It is not a survey of your customers, so treat it as the first half of validation and the proposed experiments as the second half.
Will it tell me the market size?
Only if it finds a figure tied to a dated source. Otherwise the market size is marked unknown instead of estimated. If you have your own numbers, add them to the description and say where they come from.
Can it tell me whether my idea will succeed?
No tool can promise that. It shows the evidence for demand, what people use today instead and what could get in the way, then suggests cheap tests. Running those tests is how you find out.
Does it look at my competitors?
It looks at the alternatives the evidence points to, which often include competitors, but only from public web sources and only at the moment you ask. To follow specific brands over time, add them to the Competitors module, which watches their websites, social channels, press and ads.
Next steps. Tools that pick up where this one ends.
Start it here. Finish it in DFIRST.
Your market validation draft waits on this device until your access starts. DFIRST opens to people on the waitlist first.
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