$9
Founder entry
One cited report creates the first paid proof point before workspace scope opens.
Validate before you build
Validate your SaaS idea before you build it.
Run one $9 Market Signal Report before you write the first line of code. The same cited-evidence discipline supports founder decisions now and accelerator screening later.
Founder buys one answer first
Report shows citations and weak claims
Programs can reuse the same gate
Market Signal Report
AI invoice follow-up
Pain signal
HighFreelancers repeatedly describe ignored invoices and awkward payment follow-up.
3 complaint clusters
Pricing gap
HighAgency-first invoice tools leave solo consultants underserved below $29/mo.
Competitor + review scan
Market size
LowOnly one source supports the current market-size estimate.
Needs independent verification
Generated in 58sSources cited first
Dual market
Founder validation first. Program screening next.
The public funnel should make the first purchase obvious while showing why the same evidence engine matters to accelerators, universities, and API-backed screening.
2
Accelerator cohorts
Validation workflow used in founder screening.
5
Startup decks screened
Claims reviewed with cited evidence instead of opinion.
12 years
Control systems discipline
Founder experience across industrial systems where bad signals were expensive.
Founder beachhead
Solo founders buy the smallest useful decision: one cited report that says whether the idea deserves a build cycle.
Program screening
Accelerators and university programs need the same evidence discipline at batch scale before teams become cohorts.
API expansion
Opportunity Intelligence keeps the report, citations, and confidence gates reusable for higher-volume screening workflows.
Cost of building wrong
Do not spend seven months proving one bad assumption.
Most failed SaaS projects do not fail because the founder could not build. They fail because the founder built before evidence existed.
The wrong build wastes months
The average pre-revenue SaaS burns through the founder's focus long before the market says yes.
Generic tools assume you already know
Notion, GitHub, and project trackers organize work. They do not tell you whether the work is worth doing.
Validation should block premature scope
The first product decision is not a feature list. It is whether enough buyer evidence exists to continue.
How it works
A six-stage evidence pipeline, not a prompt.
The AI is deliberately last. Retrieval, extraction, and confidence scoring happen before synthesis, so weak claims get flagged instead of polished.
Stage 1
Parse
Extract category, target user, pain, and geography.
Stage 2
Retrieve
Run structured complaint, competitor, and search-signal collection.
Stage 3
Extract
Turn raw evidence into typed pain, market, pricing, and scope claims.
Stage 4
Score
Apply source-count and quality thresholds before synthesis.
Stage 5
Synthesize
Use AI only after the evidence is structured and bounded.
Stage 6
Decide
Return GO / NO-GO with confidence and citations.
Why not ChatGPT
The difference is the workflow gate.
General AI can write a plausible answer. MicroSaaS Factory returns a cited decision and blocks unsupported claims from becoming build scope.
Dimension
ChatGPT / Perplexity
MicroSaaS Factory
Source retrieval
Post-hoc citation lookup
Structured retrieval before synthesis
Hallucination protection
Manual review
Claims with no source are blocked
Confidence scoring
No domain threshold
Low-confidence flags on thin evidence
Next step
Founder interprets the answer
Explicit verdict before build scope opens
Pricing
$9 first. Subscribe only after the signal is real.
The first purchase is intentionally small: buy one cited answer before committing to a workspace.
Best first step
$9 Single Validation
One Market Signal Report with GO / NO-GO, cited claims, and low-confidence flags.
Start $9 ValidationAfter a good signal
Growth workspace
Open the founder workspace only when the validation report justifies building.
FAQ
Questions founders ask before they commit.
Evaluate the product on evidence, not a sales pitch.
ChatGPT generates answers. This pipeline generates evidence. The AI is the last step, not the first: it only synthesizes claims that have already been extracted from real sources. It cannot add a competitor name or market size figure that was not in the structured data. See the full defensibility argument at /why-not-chatgpt.
Validate before you build
Your first validation is $9. No subscription. No commitment.
Built by a solo founder with 12+ years in industrial automation across 6 countries. I spent over a decade where a bad sensor signal shut down production lines worth millions per hour. I built MicroSaaS Factory because I kept watching smart people waste 6 months on the wrong problem. Same discipline. Different domain.