Oleg IvanovThe Launch Readiness Score (LRS) is Fluenta's proprietary rating of how ready a startup idea is to launch right now. It's the single number you'll see most often in the product, and it's the output of everything layer one (scouting) and layer two (verification) do.
What LRS measures
LRS is a 0–100 score that answers one question:
If a small team started building this idea today, what is the likelihood the market is actually ready for it?
"Ready" is the key word. LRS is not "best idea of all time." It's timing + demand + monetization + beatable competition.
The six dimensions and their weights
LRS is the weighted roll-up of six sub-scores. Here are the actual weights, derived from our weekly backtests:
| Dimension | Max points | Weight | What it measures | Data sources |
|---|---|---|---|---|
| Demand | 35 | 27% | Are people actively searching for this? | Google Trends, keyword volume, autocomplete, AI-search queries |
| Pain | 30 | 23% | Are they complaining about the problem? | Reddit, X, Quora, G2, Capterra, YouTube, forums |
| Competition | 24 | 19% | Can a new entrant still win? | Crunchbase, Product Hunt, app stores, SimilarWeb, BuiltWith |
| Monetization | 20 | 16% | Are people already paying for solutions? | Product Hunt pricing, AppSumo, Acquire.com, Upwork, Fiverr |
| Funding | 10 | 8% | Is capital flowing into the category? | Crunchbase, VC announcements, public databases |
| Urgency | 10 | 8% | Is there a reason to launch now, not next year? | Regulatory news, tech releases, narrative trackers |
Total: 129 raw points, normalized to 0–100. Demand and Pain carry 50% of the score because our backtests show they're the strongest predictors of whether an idea actually gets built and finds customers. Funding and Urgency carry only 16% combined — they matter, but less than founders think.
The score bands
| Band | Score | What to do |
|---|---|---|
| 🔴 The Roar | 80–100 | Start building. Validate your angle, not the market. |
| 🟠 Promising | 60–79 | Build a landing page, run a paid test, talk to 20 users. If pain converts, commit. |
| 🟡 Experimental | 40–59 | Don't build yet. Keep it on your shelf and check the score monthly. |
| ⚪ Weak Signal | 0–39 | Move on. The data doesn't support launching now. |
How weighting works (and why it changes)
Dimensions aren't weighted equally, and the weights aren't static. Every week, Fluenta:
- Pulls historical LRS scores from 3, 6, and 12 months ago
- Checks what actually happened to those ideas (did they launch, get funded, die, get bought?)
- Measures prediction accuracy per dimension
- Re-tunes the weights if a dimension is drifting
This means an idea that scored 72 three months ago might score 65 today — not because the idea changed, but because the market shifted and our model learned.
Why you can trust it (and when not to)
- Every sub-score is traceable. Click any dimension on an idea card and you'll see the raw sources — the actual Reddit threads, search volumes, and competitor listings that drove the number.
- Every score is time-stamped. Last week's 82 might be this week's 74 if a competitor just raised a round.
- Every backtest is logged. We know when LRS is wrong, and we adjust.
When not to trust it: LRS measures market readiness, not your ability to execute. A 90-score idea with no team is still a 90-score idea — the market is ready, but you might not be. Combine LRS with your own honest assessment of what you can ship in 90 days.
What this means for you
If you're sitting on 3 ideas and you don't know which one to build first, LRS gives you the answer in 20 minutes. Not "which idea is coolest" — which idea has the best market conditions right now. The founder who validates against live signals saves 3–6 months of building the wrong thing. That's the entire point.
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