You shipped to crickets
You built for six weeks. Nobody wanted it. The idea was crowded — you just couldn't see it from inside the wave.
Paste your idea. Get a brutally honest verdict, a sharp competitor map, three monetisation models, and a build brief ready for your AI coding tool — in under two minutes.
What you get back
Verdict first, in seconds. Then the full report — wedge, competitors, monetisation, the build brief. Here's a real one:
Verdict
The LinkedIn-signal-to-personalised-email space is contested by well-funded players already doing this well. The wedge of "recent posts" is a feature competitors ship in a quarter, not a product. To survive, this needs a sharper differentiator than the signal source.
↓ The full report keeps going — wedge, competitor map, monetisation, tech complexity, build brief.
The problem
ChatGPT will cheerlead any idea you pitch it. Twitter will tell you it's brilliant. Your friends will say "go for it." None of that survives contact with the market.
You built for six weeks. Nobody wanted it. The idea was crowded — you just couldn't see it from inside the wave.
Three competitors look like a dead market. Three competitors with no inbound reviews look like a wide-open lane. Most founders can't tell which is which.
"B2B SaaS teams" isn't an ICP. You need the 200-person sliver that will pay on a Tuesday — and you need to know where they hang out.
Sample report
A real, anonymised report. The full version on your idea includes every section below in depth, plus the complete phased build plan.
Verdict
Well-funded incumbents like Lavender, Clay and Apollo already do signal-driven personalisation. The "recent LinkedIn posts" angle is a feature they'll ship within a quarter. Survivable only with a vertical-specific messaging framework or a distribution advantage you haven't named yet.
Tech complexity
The wedge
SDR managers at 50–200-person B2B SaaS companies on Salesforce + Outreach, frustrated that reps spend 20+ minutes per prospect on manual research.
Where they hang out
Monetisation
Competitor landscape
Build brief · paste-ready
# Data model Workspace → Users (rep / manager) → Prospects (LinkedIn data, timestamped posts) → Drafts (prompt snapshot, output, reply feedback) → Sequences. Per-workspace Settings: tone, value props, persona instructions. # Key features (first 4 of 7) - LinkedIn post ingestion + LLM theme extraction - One-click drafting: 2–3 ranked variants per prospect - Workspace tone & persona configuration - Salesforce + Outreach one-click push … 3 more in the full report # Recommended stack - Next.js + TypeScript - Proxycurl (compliant LinkedIn data) - Anthropic / OpenAI API - Supabase (Postgres + Auth)
How it works
Paste two to five sentences. Optional ICP hint and budget context. No deck, no spreadsheet — just the thing you'd tell a friend at dinner.
The verdict appears in seconds. Then the wedge, competitor map, monetisation models, tech complexity score, and the build brief — section by section, live.
Download the PDF. Copy the build brief straight into your AI coding tool. Ship an MVP in a weekend instead of spending the weekend on a research doc.
"I'd spent a week convinced my idea was a wide-open lane. The validator came back 'Crowded' in ninety seconds — with four competitors I'd somehow missed and the exact reason my wedge was too soft. Saved me a month. Annoyed me for an afternoon. Easily worth £19."
Inside every report
Each one is structured, specific, and built to be acted on — not admired.
Strong, Worth exploring, Crowded, or Skip — with the one factor that decided it.
A beachhead ICP narrow enough to write the LinkedIn search query for, plus where they actually gather.
Three to five real players, ordered by threat, each with the specific gap you could exploit — or the honest "no gap here".
Two or three pricing structures with concrete ranges and why each fits this buyer's behaviour.
A 1–10 build-difficulty rating with the two or three hardest specific challenges named — not hand-waved.
Data model, key features, integrations, recommended stack, and a phased plan — formatted to paste into your AI coding tool as the first prompt.
The one-line version of the idea, tightened — the way you'd say it to an investor who's heard a hundred AI tools this week.
The honest answers
The structure is the value. Anyone can ask ChatGPT "is my idea good?" and get cheerful nonsense. The validator forces a real wedge, a competitor map with explicit gaps, three monetisation models with prices, and a build brief you can paste into your AI coding tool without editing. That structure is what makes it useful at 2am.
Treat them as a strong starting point. Most will be real and well-positioned; a minority may get a name or detail wrong. Always verify the top two before you commit to a positioning decision. The wedge and monetisation sections are where the deepest value sits.
Free attracts noise and produces lazy output. £99 is a course, not a gut-check. £19 is the price of "find out before you commit a month" — cheap enough to run on three ideas, expensive enough that you'll actually read the report.
Pricing
A week of your own research costs more than this in time alone. It pays for itself the first time a report stops you building something nobody wants.
Reply to your receipt within 7 days and you get a full refund — no questions, no hard feelings. We'd rather not have the money than have a grumpy customer.
FAQ
The structure is the value. Anyone can ask ChatGPT "is my idea good?" and get cheerful nonsense. The validator forces a real wedge, a competitor map with explicit gaps, three concrete monetisation models with prices, and a build brief you can paste into your AI coding tool without editing. That structure is what makes it worth opening at 2am when you can't sleep because you might be about to waste a month.
A structured spec — data model, key features, integrations, recommended stack, and a phased build plan — formatted to paste directly into your AI coding tool as the first prompt. Most reports get you to a functional MVP in a couple of prompt cycles.
Yes. Every report exports to PDF — send it on, drop it in Notion, print it out. Your report history also stays in your account so you can come back to any of them.
Yes — within 7 days, no questions asked. Reply to your receipt and you'll get a full refund. We'd rather not have the money than have a grumpy customer.
It's the full course on building, launching and selling an AI SaaS product end-to-end — this validator is a small slice of one module. Have a look if you want the whole playbook, not just the gut-check.
Ninety seconds and £19 against four to twelve weeks of building the wrong thing. That's the trade.