Market decision intelligence

See how the market will react — before you ship.

Describe your product idea. DNE Insights scans Reddit discussions, app reviews, competitors, and category demand — then a market analyst verifies your report before delivery.

Analyst verified on every report

No credit card required · Every report analyst-verified · Built for indie founders and lean teams

See how it works
Analyst verifiedReviewed by a market research professional

Live market scan

Reflecta — AI Journaling

Score 0

Demand

72+12

Competition

58-4

Sentiment fit

81+8

Trust risk

34-6

Recommendation

Strong demand tailwind. Differentiate on privacy positioning before competitors close the gap.

The problem

You're guessing. The market isn't.

Most founders validate ideas with gut feel, a few Twitter polls, or hours of manual Reddit scrolling. By the time you spot the real objections — privacy backlash, crowded competitors, wrong audience — you've already built the wrong thing.

DNE Insights replaces guesswork with structured market intelligence

What are people actually saying in communities and reviews?

Who already owns this space?

Does your positioning create trust or trigger skepticism?

What should you change before writing a single line of production code?

How it works

From idea to verified market report in four steps

Market validation that works like a product dashboard — not a research report.

01

Describe your concept

Tell us what you're building in plain language. Confirm the features you want to test and the audience you're targeting. We structure your idea into a scan-ready product config.

1Concept
2Features
3Audience

What concept are you evaluating?

Describe, confirm features, select audience

02

Scan the market

DNE Insights searches the open web for relevant signals: community threads, app store reviews, competitor pages, category trends, and market news. Every scan is tuned to your concept — not generic industry noise.

Market response

What people are saying

Real conversations and reviews from your product space

Opportunities

Privacy-first positioning resonates strongly in community discussions

Daily prompts + streak tracking is the killer combo users want

Risks

AI companion framing triggers trust backlash in wellness category

Crowded space — differentiation on offline mode is critical

03

Analyst verifies your report

Before your report goes live, a market research professional reviews the findings — checking sources, sharpening recommendations, and flagging anything the model missed. You get an analyst-verified report, not raw AI output.

Human review

Analyst verification

Sources checked against your concept
Recommendations sharpened for action
Risks and opportunities validated
Report approved for delivery

Market research professional reviewing your scan…

04

Iterate with evidence

Open your dashboard. See scores, citations, competitors, and recommended moves. Tweak positioning or features, save a new version, and watch how the market response changes.

Every published report carries an analyst verified badge — so you know a real person reviewed it before delivery.

Iteration history

Analyst verified

Click a version to load it into the workspace.

Change impact

Privacy-first positioning improves sentiment fit by +16 points.

Human in the loop

Not just AI analysis.
Every report is analyst-verified.

DNE Insights combines automated market scanning with a real professional review — so you get cited intelligence you can act on, not another chatbot opinion.

Step 1

AI gathers the signals

Our pipeline scans Reddit, reviews, competitors, and trends — ranked for relevance to your concept.

Step 2

An analyst reviews your report

A market research professional checks the findings, sharpens recommendations, and flags anything the model missed.

Step 3

You get a verified report

Every published scan carries an analyst-verified badge — insights you can trust in a pitch, not raw AI output.

Analyst verified

Look for the verified badge on every published scan report — your signal that a human professional reviewed the findings before delivery.

What you get

Market intelligence with receipts

What you get when you stop asking ChatGPT if your idea is good.

Analyst-verified reports

Every scan is reviewed by a market research professional before delivery — not just AI output. Look for the verified badge on your report.

Concept intake

Three-step onboarding: describe your idea, confirm features, select audience. No spreadsheets.

Live validation dashboard

Edit positioning, pricing, features, and audience in real time. See how signals shift as you iterate.

Market response panel

Community discussions, app reviews, and competitor breakdown — filtered for relevance to your concept.

Explainable validation score

A single 0–100 score built from demand, competition, sentiment fit, and trust risk — with the math visible.

Opportunities & risks

Concrete signal cards sourced from real market evidence, not generic startup advice.

Version history

Save V1, V2, V3 and compare iterations. See what changed and why the score moved.

Competitor-informed scans

We discover who you're really competing with first — then search for how people talk about them.

Cited insights

Every important claim links back to a source. Trust what you read; verify what you share.

What makes it different

Not another AI opinion

Typical approach
DNE Insights
Instant AI answer, no human check
Analyst-verified report — a professional reviews every scan before delivery
Ask ChatGPT "is my idea good?"
Scans real discussions, reviews, and competitors for your concept
Manual Reddit rabbit holes
Automated, relevance-ranked evidence bundle
Static competitor lists
Competitor discovery + perception from reviews and positioning
Gut-feel scoring
Weighted signals you can explain to a co-founder or investor
One-off report PDF
Live dashboard you iterate on

Who it's for

Built for people who ship

— and can't afford to ship the wrong thing

Indie founders

Validate before quitting your day job or burning runway

Solo marketers

Test positioning and messaging without a research agency

Product managers

Pressure-test feature bets and audience fit early

Agencies & studios

Run fast concept checks for client pitches and discovery

I would've killed the AI companion angle weeks earlier if I'd seen the Reddit sentiment first.

Finally — validation with links I can actually put in a pitch deck.

What founders use it for

Pre-build validation

"Should I build this AI journaling app, or is the market too skeptical about AI companions?"

Positioning tests

"Privacy-first journal vs. AI emotional coach — which resonates?"

Audience fit

"Self-improvement users vs. therapy seekers — where's the trust risk lower?"

Feature prioritization

"Does adding offline mode materially improve sentiment?"

Pitch prep

"I need cited market signals for my deck, not vibes."

Used by founders validating: SaaS · Consumer apps · Digital wellness · AI tools · B2C products

Pricing

Simple pricing for early builders

Early access

~$20/month

For solo founders — real market scans, not a toy demo.

  • Analyst-verified reports on every scan
  • Real market scans with cited insights
  • Explainable validation scores
  • Version comparison (V1, V2, V3)
  • Early-access pricing locked in
  • Priority onboarding

Final pricing announced at launch. No charge to join the waitlist.

Join the waitlist

FAQ

Common questions

A market decision intelligence tool for founders and marketers. You describe a product concept; we analyze how the market might respond using community discussions, reviews, competitors, and category signals — then help you iterate.