Evidence-backed opportunity research

Find what to sell
before you build it.

SignalForge turns scattered market evidence into opportunities you can inspect, challenge and test.

For AI agencies, consultants and founders who know how to build—but need sharper evidence about what a market may actually need.
Follow the evidence
01 · Research system

Turn information chaos into a deliberate investigation.

SignalForge reorganizes a broad market question into the workflows, failures, alternatives, spend and gaps that deserve evidence.

Find AI automation opportunities for dental clinics.
01Core activityRecurring job
02Pain / failureFailure modes
03Manual workflowCurrent process
04AlternativesWhat exists
05Commercial costSpend signals
06Requests / gapsUnmet needs
One questionSix research pathsA corpus with intent
02 · Evidence filtering

Not every source deserves equal weight.

Topical relevance stays visible before analysis—so nearby context cannot quietly become direct market evidence.

Direct

How dental practices recover missed calls

Operator interview · Workflow evidence

Anchored to the target buyer and workflow.
Adjacent

Lead recovery patterns in local services

Creator commentary · Analogous workflow

Useful context, not direct market evidence.
Weak

Create an AI CRM in minutes

Vendor tutorial · Generic overlap

Insufficient anchor context for synthesis.
Relevance is not popularity.Weak evidence stays visible, but Select visible does not choose it by default.
03 · Reasoning provenance

Watch evidence become a decision—without blurring the steps.

The same research object changes state while the source of each claim remains explicit.

01Selected evidence02Observed03Synthesized04Hypothesis05Counter-evidence06Validation
Selected evidence

Operators describe missed inbound calls and inconsistent manual follow-up.

3 direct sources · 42 comments
Observed

Missed calls and follow-up work recur across the selected practice evidence.

Supported by selected evidence
Synthesized

Lead recovery appears to create recurring operational friction for small practices.

Pattern inferred across evidence
Hypothesis

Independent practices may value a controlled missed-call recovery service.

Commercial inference to validate
Counter-evidence

Existing tools may already be sufficient for practices with disciplined follow-up.

Challenges the hypothesis; not an error state
Validation

Offer a limited paid pilot before building autonomous software.

Proposed next test

Research scope: Germany · English · Dental practices. A scope constraint guides retrieval; it is not an observed market fact.

04 · Opportunity + validation

The output is not an answer. It is a decision to test.

Potential opportunity

Missed-call recovery workflow

Evidence strength · Moderate
BuyerIndependent dental practice owner
ProblemUnanswered inbound leads require inconsistent manual recovery.
Potential first offerControlled lead-recovery pilot
EvidenceModerate
Payment evidenceMissing
Do not build yetFull autonomous AI receptionist
Next validationAttempt to sell the narrow pilot first.
Counter-caseExisting tools may already be sufficient.
Validation plan

Sell the narrow workflow before building the platform.

This opportunity remains a hypothesis until the market makes a credible commitment.

01WhoPractice owners handling inbound leads
02OfferA controlled recovery pilot
03Pass signalA credible paid commitment
04Do not build yetAn autonomous receptionist platform

This is a hypothesis to test — not a guarantee.

ObservedSynthesizedHypothesisValidation
05 · Built for decisions

Brainstorm less. Investigate more.

General AI can generate plausible directions. SignalForge builds an inspectable research process around the decision.

Generic brainstorming

“Give me AI business ideas for dentists.”

AI receptionistReview automationAppointment botLead follow-up
Plausible ideas. Unclear basis.
SignalForge
1Market question
2Research paths
3Evidence control
4Counter-evidence
5Opportunity
6Validation
06 · The real product

An operational workspace, not a chat window.

A single canvas keeps the research question, evidence decisions and commercial next step connected.

signalforge / research
Research intent

Find AI automation opportunities for dental clinics

Germany · English · Any time · Strict language off
Evidence set

Direct · Practice workflow

Direct · Missed-call handling

Adjacent · Local lead recovery

Weak · Generic AI CRM

Evidence inspector

How dental practices recover missed calls

Direct · Operator interview

42 comments · 0 transcripts
Idea palette

Missed-call recovery workflow

Observed → Synthesized → Hypothesis

Payment evidence · Missing
Counter-evidenceExisting tools may already be sufficient.

Test switching friction and current workaround satisfaction.

Validation planSell the controlled pilot first.

Build only after a credible commitment.

Research intent

Find AI automation opportunities for dental clinics

Germany · English · Any time · Strict language off
Evidence set
Direct · 3Adjacent · 1Weak · 1

Practice workflow evidence selected

Generic AI CRM remains visible

Potential opportunity

Missed-call recovery workflow

Independent dental practice owner

Evidence · Moderate   Payment · Missing
Validation plan

Sell the controlled pilot first.

Build only after a credible commitment.

This is a hypothesis to test — not a guarantee.
07 · Interactive demo

Inspect the process yourself.

Five clearly labeled demo projects. No API keys, no live provider calls, no quota use.

08 · Questions

Plain answers before you start.

What is SignalForge?

SignalForge is an evidence-backed opportunity research workspace. It turns a market question into a deliberate research portfolio, lets you control the evidence set, and separates observation from commercial inference.

Is this another YouTube analytics tool?

No. SignalForge uses YouTube as a source of market conversations. It does not treat views, likes, or comments as proof of demand and does not produce a proprietary popularity score.

Why not just use ChatGPT?

General AI is useful for brainstorming. SignalForge adds a repeatable, inspectable workflow around retrieval, evidence selection, counter-evidence, opportunity comparison, and validation.

Does SignalForge prove there is demand?

No. It produces evidence-backed hypotheses worth testing. Real demand requires behavioral evidence such as a credible commitment or payment.

Where does the evidence come from?

The YouTube-first release retrieves videos and optional comments through the official YouTube Data API. Transcripts are optional and come from user import or a permitted adapter.

Do I need my own API keys?

Live research during Founding Access uses your own YouTube and OpenAI API credentials. The interactive demo needs no keys and makes no live provider calls.

Can other users see my projects?

Private projects use authenticated ownership and Supabase Row Level Security. SignalForge is designed so one user cannot read or change another user's research.

What are Watchlists?

Watchlists save a research scope and query portfolio so you can refresh a market over time. In the current local scheduler, scheduled work only runs while SignalForge is running.

Evidence → decision

Your next opportunity shouldn’t start with a guess.

Research the market before you build for it.

Start researching Explore demo