ICPScan: Verifiable Buyer Intent Engine for B2B Founders
Founders struggle to identify true buyers because enthusiastic prospects during sales calls frequently fail to convert, while theoretical ICP frameworks lack practical execution guidance.
Is the problem real?
Founders struggle to identify true buyers because enthusiastic prospects during sales calls frequently fail to convert, while theoretical ICP frameworks lack practical execution guidance.
EVIDENCE
Founders who nailed their ICP: what did you build, and who actually turned out to be the buyer? - I will not promote
i just live with it, that person almost never bought.
commentThe janky workaround point below is spot on, and I'd add one more version of that signal that's easy to miss. Watch for churned users who come back on their own a few weeks later. That's someone who tried to solve it manually in the meantime, gave up, and decided your thing was worth paying for after all. Way more reliable than anything said on a first call. On the stuck point about enthusiastic people not converting, we started asking one blunt question live on calls: what are you doing about this today, right now, without us. If the honest answer was nothing, I just live with it, that person almost never bought. If the answer involved a spreadsheet, an intern, or a workaround they were annoyed by, they converted at a much higher rate. How narrow did you end up needing to go before that pattern got obvious to you?
Who feels this pain?
TARGET USERS
Early-stage founders running outbound sales campaigns who struggle to filter out false-positive prospects showing fake enthusiasm.
Context
Current Workarounds
Where's the gap?
EXISTING SOLUTION GAPS
OPPORTUNITY & VALUE
Multiple commenters and the post author discussed false positives in sales calls where verbal enthusiasm fails to correlate with conversion.
Focuses strictly on existing workaround verification rather than vanity engagement metrics or high-level demographic ICP frameworks.
A lightweight qualification framework and screening tool that automatically scores prospect accounts based on hard behavioral intent metrics and workaround presence rather than verbal enthusiasm.
How does it make money?
MONETIZATION
Model
Founders waste dozens of hours per month on dead-end sales calls; $79/mo is a fraction of the cost of one wasted hour of founder time or a failed sales hire.
How do you ship it?
MVP PLAN
“Filter out false-positive prospects and lock down true ICP in 30 days.”
A lightweight qualification framework and screening tool that automatically scores prospect accounts based on hard behavioral intent metrics and workaround presence rather than verbal enthusiasm.
Core Features
Weekly Roadmap
- •Build intent-scoring questionnaire matrix
- •Implement workaround detection input fields
- •Store prospect evaluation history
- •Build CSV lead upload and batch scoring parser
- •Design automated pre-call qualification report generator
- •Implement user authentication and dashboard
- •Implement Stripe subscription billing
- •Refine questionnaire UX based on early feedback
- •Recruit 5 B2B founders for private beta testing
- •Launch on IndieHackers, X, and r/startups
- •Publish case study from beta testing
- •Track conversion metrics and user retention
Target early-stage founder communities on X, IndieHackers, and Reddit (r/startups, r/sales)
RISKS & ASSUMPTIONS
Top Risks
If the tool requires founders to manually input too much interview data, they may churn due to friction.
Early-stage founders might view it as a nice-to-have checklist rather than an urgent workflow engine.
Without seamless HubSpot or Salesforce syncing, users may forget to update intent scores.
Should you build it?
Run an Investment Memo to get a structured Go / No-Go verdict, competitor landscape, unit economics, and a 90-day validation roadmap for this opportunity.
Generate an investment memoWhat this score means
This opportunity scores well above the median for ideas surfaced by MonetScope, with a validation sub-score of 9/10 against 2 independently sourced evidence signals. A "strong" rating in this band typically means the pain signal is consistent and recurring across multiple discussions, but one of the three pillars (severity, willingness to pay, or competitor weakness) is somewhat softer than top-tier opportunities. Founders evaluating this should focus customer discovery on the softest pillar first — confirming the gap before committing engineering time to a build.
Why this matters for SaaS founders
It sits at the intersection of "analytics", "b2b", "productivity", which makes it relevant to a specific subset of founders rather than a generic horizontal opportunity. SaaS opportunities at this stage tend to win on the strength of their initial wedge — a single workflow that the target user runs every week, where the existing solution is either spreadsheets, a clunky incumbent feature, or a manual process they hate. The build cost is moderate; the distribution cost is everything. The MonetScope pipeline surfaces this category alongside other saas signals, which is why it appears here rather than in a generic "trending ideas" feed.
Scores are derived from real forum discussions across Reddit, Hacker News and X, weighted by evidence volume and signal quality. How scoring works
Frequently asked questions
Is "ICPScan: Verifiable Buyer Intent Engine for B2B Founders" a real validated startup idea or just an AI-generated suggestion?
MonetScope does not generate ideas from a language model's imagination. Every opportunity on this site is anchored to specific source posts and comments from real public discussions — typically on Reddit, Hacker News, or X — where actual users describe the pain in their own words. The AI's role is structuring, scoring, and grouping those signals into a navigable opportunity, not inventing the problem.
How recent is the underlying data for analytics?
MonetScope's spider pipeline runs continuously and surfaces opportunities as new evidence accumulates. The "Updated" date in the header reflects the most recent re-scoring of this specific opportunity. Most saas opportunities visible in the public catalog draw from discussions in the last 30-60 days; older signals are de-prioritized because user pain shifts faster than most founders assume.
What's the difference between "overall score" and "validation score"?
Overall score is a composite across six dimensions — pain, urgency, willingness to pay, market size, defensibility, and execution ease — designed to give a single number for triage. Validation score is narrower: it asks "how cleanly does the same signal repeat across independent sources?" An opportunity can score high on overall but lower on validation when one or two large discussions dominate the evidence; conversely, validation can be high on a smaller-overall idea where the signal is consistent but the addressable market is modest.