Platform That Finds and Sells Business Opportunities
A platform that finds business opportunities and sells them to people who want to start a business. It continuously scans the web for market gaps and demand signals. Each opportunity it finds is run through an AI analysis engine that produces a full underwriting report: market size and competition, how it could be built, financing routes, regulatory questions, unit economics, realistic revenue scenarios, and what it…
What an analysis cost to produce belongs beside it. A reader deciding whether to trust a verdict is entitled to know whether it came from twenty-six stages or one, and nothing else in this category will tell them.
What this analysis found
| Verdict | REWORK |
| Score | 38 · confidence 93 |
| Objections raised | 9 — 0 UPHELD, 8 conceded by the defence |
| Produced by | 34 stages · $8.61 · 60 minutes |
| Sections not shown | 13 — pathways, remedy, upside, scenario, exit_analysis, structure, regulatory, unit_econ, economics, build_spec, competitors, channels, platform |
This analysis ran 34 stages and cost $8.61 to produce. It raised 9 objections to your idea, of which 0 were UPHELD and 8 were conceded by the defence. One is shown in full below so you can judge whether the work is real. 13 further sections exist and are not shown — including the sequenced build plan and what would raise the score. They are named rather than hidden, because 'you are not seeing 14 sections' is information and a blank page is not.
Buying it COMMISSIONS the deep run — 22 to 26 stages with a separate prosecutor, defender and arbiter, named competitors with pricing, real distribution channels, a sequenced build plan, and a falsifiable test frozen with a deadline. It is produced after payment rather than in advance, which is why the preview can be free.
Not for sale yet — pricing is not settled, so the checkout is off rather than guessing at a number. The preview is free and stays free.
One objection, in full
| Charge | Rebuttal | Ruling |
|---|---|---|
| The product solves the wrong bottleneck | Conceded. The thesis itself surfaces this: it cites evidence that failed startups fail from an unviable idea or from failing to validate willingness-to-pay before running out of cash, not from lack of a report, and explicitly states report quality is 'necessary but plausibly not sufficient.' No mechanism in the candidate (subscription, take fee, or execution software) forces or verifies real paying-customer validation before the take fee is charged. |
A separate agent argued against this idea, a second answered, a third ruled. This is one of 9. The rest, the sequenced build plan, what would raise the score, and the next phase are in the full report.
The case against it
| Charge | Rebuttal | Ruling |
|---|---|---|
| The product solves the wrong bottleneck | CONCEDED — Conceded. The thesis itself surfaces this: it cites evidence that failed startups fail from an unviable idea or from failing to validate willingness-t | — |
A separate agent argued against this idea, a second answered, a third ruled. 8 of 9 charges were conceded rather than defended. Published in full because a score with the objections removed is a advertisement, and because the objections are usually more useful than the verdict.
How it scored
| Dimension | Score | Reasoning |
|---|---|---|
| P1 | 32 | Terminal value is capped by the fact that the core asset (AI-generated opportunity reports) is already sold by four named competitors including free tiers (IdeaProof's 90 |
| P10 | 42 | 80% gross margin at scale looks healthy but max_bearable_cac is only $29 against paid-search CAC of $150–400 on the converting terms, and the most underestimated cost — h |
| P2 | 30 | The only compounding mechanism identified (verified-outcome data from buyers who linked CRM/bank feeds) requires 'several hundred completed builds per niche category' bef |
| P3 | 48 | There is genuine single-player value — the $49 hand-built report is consumable with zero other users and needs no second side seeded — so this is not a classic two-sided |
| P4 | 72 | The AI analysis engine already exists (build_state: prototype) and the smallest_offer is a 3-day, hand-fulfilled $49 PDF sold from one landing page into Reddit and long-t |
| P5 | 66 | Seed cost is $300 and the first 20–50 buyers require founder time plus no ad spend, so capital-to-first-revenue is trivially low; capital_need is nonetheless flagged 'hea |
| P7 | 22 | Retention is structurally adverse: the browsing subscription's value is fully consumed at the moment of choosing an opportunity, so the highest-value subscribers (those w |
| P8 | 30 | The hardest non-code dependency is buyers granting read access to bank feeds, POS or the platform's own financial module so outcomes are verified rather than self-reporte |
| P9 | 28 | Exposure is 'reshapes-product': ~24 states have business-opportunity/seller-assisted-marketing-plan statutes and Nebraska's includes a standalone trigger for a seller pro |
Where this idea is
| Phase now | Analysed — Underwritten, with the argument against it on the record. |
| What you do here | Read the case against it first. An upheld charge you cannot answer is the verdict, whatever the score says. |
| To leave this phase | You have read the upheld charges and decided the idea survives them. |
| Gate status | This gate is a judgement, not a query. The system will not rule on it and will not pretend to — you decide, and the reason is recorded. |
| Next phase | Validating — A pre-registered test is live and running. |
This gate is a judgement rather than a query, so the system states it and refuses to rule on it. Pretending software can decide whether a business "can take money from somebody who is not you" would make every gate on this site meaningless. Advancing an idea needs its link — the one handed back when it was submitted. Founder-owned ideas are advanced from the console. See the whole pipeline.
| What to do in this phase | What it proves | From which part of the analysis |
|---|---|---|
| 1. Commission the multi-state legal opinion and adopt the design choices already in the record (P9) - this gates whether the take-fee bundle can legally exist in its current form at all; every other remedy assumes a legally viable monetization event to build on. | — | remedy |
| 2. Re-price the execution software as the ongoing subscription product instead of a one-time unlock (P7) - depends on step 1 confirming what the software/take fee can legally include, and must precede any outcome-data work because it is what keeps buyers engaged long enough to reach the build-phase milestones the data depends on. | — | remedy |
| 3. Instrument the now-retained execution software to capture milestone and outcome data, and tie part of the take fee to those milestones (P1/P2) - depends on step 2's retention working, since there is no data to capture from users who have already churned. | — | remedy |
| 4. Narrow the initial catalog to one or two verticals and build the semi-automated QA refresh pipeline (P10) - can run in parallel with steps 1-3 but should be locked before catalog expansion, since expanding breadth before the pipeline exists re-creates the cost-scaling problem. | — | remedy |
| 5. Add the Plaid-style incentivized financial-linking flow (P8) - depends on step 2's software existing as the natural place to request the permission, and is lowest priority since it deepens the moat but is not required for initial retention or legal viability. | — | remedy |
Every step traces to a field this idea's own underwriting produced — not generic best practice, which is free everywhere. 0 of 5 complete. Mark them off in the console.
How this was produced
| Measure | Value |
|---|---|
| Stages completed | 22 of 22 |
| Cost to produce | $8.61 |
| Wall clock | 60 minutes |
| Base rate for the reference class | 50% — Digital subscription + one-time-fee info/content products sold direct to consumers |
| Not adjusted for this candidate | No measured relationship between our score and observed success exists yet: 34 predictions are frozen and none has resolved. When they do, that relationship gets fitted on real outcomes and published with its sample size. |
| Score after remediation | 38 → 53 |
| Stage that did not complete | {'why': 'truncation_retry', 'stage': 'QUANT', 'detail': 'succeeded only after retry at double max_tokens'} |
A verdict produced by 22 of 23 stages is not the same artefact as one produced by all of them, and which stages failed was recorded on every run and shown nowhere until now. If a stage that feeds a section died, the section came from somewhere else or nowhere — and you are entitled to know which is in front of you before you act on it.
The brief as understood
| gap | Aspiring first-time or opportunistic entrepreneurs cannot cheaply or reliably find a business opportunity matched to their resources, get it validated, and receive credible help turning it into a paying business. |
| input richness | adequate |
| open questions | —: Has any AI-generated opportunity from this engine actually been taken and turned into a real, revenue-generating business, and if so, what happened?; —: What is the actual mechanism by which subscription + per-opportunity pricing is set, and does any part of revenue depend on the buyer's business performing (versus being fully captured at the point of sale)?; —: Is there a jurisdictional/legal review of how 'realistic revenue scenarios' and 'exit value' claims in reports will be classified under business-opportunity and earnings-claim disclosure rules? |
| reference class | Business-opportunity seller (a 'biz-op' / opportunity-in-a-box vendor), not a marketplace or a SaaS research tool. |
| not reference class | It is not a marketplace (no two-sided matching of independent buyers and sellers of a real good/service occurs — the platform is the only seller of every listing), and it is not a research/analytics subscription like an industry-data provider (those are paid for ongoing access to data, not for a one-time packaged 'take this and go' claim). Framing it as either would hide the single most consequential fact about this business: it is paid whether or not any buyer's business succeeds, which is exactly the incentive structure regulators single out, and exactly the reputational trap ('business-in-a-box' scams, franchise-lite pitches) any credible version of this product has to visibly escape. |
| reference class why | The economics are: a single seller produces a packaged claim ('here is a way to make money') and sells it via subscription-to-browse plus a per-item conversion fee, to a buyer whose success or failure has no bearing on whether the seller gets paid. That payment structure — paid on the sale of the opportunity, not on the buyer's outcome — is the defining economic feature of the business-opportunity class, not of a marketplace (which needs two independent economic actors transacting with each other) and not of a SaaS analytics tool (where the software itself, not a one-time packaged claim, is the recurring value). This class carries specific, well-documented regulatory exposure: in the US, sel |
| clarifying questions | —: question: Is each generated opportunity intended to be sold to a single buyer only, or can the same opportunity be sold to multiple buyers?; why it matters: This changes the core value proposition (buying a genuine market gap vs. buying a report that a competitor might also own), the achievable price point, and the platform's exposure to misrepr; —: question: Has any report produced by the analysis engine been tested against a real launch, and if so what was the outcome?; why it matters: The entire thesis rests on the reports being a genuinely scarce, valuable input to entrepreneurial success; without any track record, the core product is an unvalidated claim, which is the s; —: question: |
| unstated assumptions | —: That AI-scraped 'demand signals' and revenue projections are accurate enough to justify a buyer's money and time — with no stated validation loop showing any past output actually became a working business.; —: That there is a sustainable supply of genuinely distinct, monetizable opportunities to keep the catalog fresh, rather than a small set of well-known niches recycled repeatedly.; —: That exclusivity is either irrelevant or handled — the submission doesn't say whether a given opportunity is sold once or to many buyers, which changes both the value proposition and the regulatory exposure around implied territorial/uniqueness claims.; —: That buyers' main constraint is lack of an idea a |
If you decide to do this
| Step | What it means | Where it happens |
|---|---|---|
| 1 · Read the case against it first | Charges the arbiter upheld are the ones to answer before committing. If an upheld charge is fatal for you, the verdict is not. | on this page |
| 2 · Commit the pre-registered test | The test is already written: a falsifiable metric at a stated threshold. Committing freezes it with a date, and it cannot be edited afterwards. | promote it → |
| 3 · Stand up the offer | A landing page, a price, and an instrumented link. Nothing is proven until somebody who does not know you is asked to pay. | ventures → |
| 4 · Run distribution and let it resolve | The test resolves mechanically on its deadline: actual against threshold, no judgement. A test never distributed resolves VOID rather than FAIL — inaction is not evidence. | automatic, daily |
| 5 · The outcome grades this verdict | Whatever happens is written back against this prediction and scored. That is what makes the next verdict better, and it is the only honest basis for ever claiming an accuracy. | the ledger → |
Steps 2 and 3 open the operator console, which lives under this same domain at /account and requires a log-in — the public record is readable by anyone, and committing a prediction against it is not. Step 5 happens automatically: this prediction is already frozen with its score, its confidence, and every dimension as it stood, waiting for an outcome to grade it against.