Evidence-first product intelligence

Stop guessing what to build.Find SaaS hypotheses grounded in real evidence.

NicheRadar OS connects available App Store and Reddit complaints with commercial signals and customer interview scripts. Build a hypothesis you can test before you invest in code. Search data indicates intent, not a market size or promise of payment.

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Traceable source linksEditable assumptionsNo card requiredUnlimited niches on Pro · $29/month

NicheRadar OS · Research dossier

Follow the evidence.

A preview frame for the research workspace. Explore the interactive demo to see the dossier.

Open sample dossier

Preview placeholder · the interactive demo uses fictional, labeled evidence.

Beyond basic scraping

A complaint is a clue. Turn it into a testable hypothesis.

Basic scrapers hand you a pile of posts. NicheRadar OS connects evidence, movement, commercial intent proxies, and the next validation step.

Trend deltas

Compare complaint volume across successful snapshots. See when a sampled problem grows, eases, or stays steady.

Example: rising complaint volume

The Mom Test engine

Turn complaint clusters into customer discovery questions about past workflows, time and money. Ask about experience before pitching a solution.

5 past-behavior questions

Commercial signals

Cross-reference frustration with keyword search volume and CPC, so loud complaints do not masquerade as viable demand.

Example: 1.2K/mo · $4.50 CPC

Honest math

Edit assumptions, inspect every weight, and see when a score has missing inputs. No opaque black-box rankings.

Workspace weights: 35% / 25% / 25% / 15%

Source status

App Store · healthy

Reddit · blocked

Signals · manual

Representative status · live status inside the app

Clear collection limits

See what was collected, and what is missing.

We don't fake data. If a source is blocked, we tell you. If an app has zero 1-star reviews, we tell you it might be healthy.

Evidence shows source links, dates and sample sizes; keyword signals show provider provenance and fetch dates. Missing inputs visibly change the score instead of being silently filled with invented numbers.

Audit the source

What a dossier looks like (sample data)

Sample preview — fictional research shown while the public showcase has no published evidence. Your private workspace is never used here.

CRM for Boutique Vet Clinics

Sample data · fictional

“The dental discharge has three medication times, but PawLedger sends one generic reminder the next morning. We copy every care plan into a spreadsheet and schedule the texts by hand.”

Explore sample dossier

Illustrative fixture · no live sync

Shift Scheduling for Independent Coffee Roasters

Sample data · fictional

“RoastRunner approved a swap that left nobody certified on the 35-kilo roaster. I caught it 20 minutes before production started.”

Explore sample dossier

Illustrative fixture · no live sync

Offline Handoffs for Field Service Crews

Sample data · fictional

“RoutePatch uploaded 23 photos into one gallery with no task labels. The night supervisor called three technicians to identify the failed valve.”

Explore sample dossier

Illustrative fixture · no live sync

Evidence stored

Sources monitored

Niches tracked

Sync cadence

Daily · 00:00 UTC (paid workspaces)

Public house-showcase coverage only; not customer workspace totals. Counts come directly from stored records, excluding sample niches.

Loading published research…

Private beta

Make your next experiment clearer.

Get product updates for research you can inspect and customer discovery you can put into practice.

Launch and product updates

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