What Your NuScore Actually Tells You About Your Fundraise
Your NuScore is not a grade — it is a map. It shows you where VCs will push back, what to fix first, and how likely you are to raise. Here is exactly what each number means and how to use it.
Updated March 2026: Now powered by VCGrade 2.0 — our production scoring engine. The methodology described in this post remains accurate; the model name has changed to reflect the rebranded architecture.
You uploaded your deck. You got a number. Now what?
Your NuScore is not a grade on your startup — it is a diagnostic. It tells you exactly where investors will push back, what to fix first to move the needle, and how your deck compares to every other startup competing for the same investors right now.
This is the complete guide to reading your score and using it to raise faster.
Correction (2026-10-07). This post originally showed a "Predictiveness (r²)" column for each dimension and said Solution & Product (r²=0.773) predicts investor outcomes nearly 2x better than Team (r²=0.492). Those figures came from the keyword-frequency instrument behind our withdrawn Say-Do Gap analysis, which a later internal review judged invalid: the values were not r², and a dimension that carries more weight in the score will naturally track the score more closely. The column and the comparison have been removed. The seven dimensions and what each measures are unchanged.
What Is My Deck Being Evaluated On?
When a VC reads your deck, they are — consciously or not — evaluating 7 things. Your NuScore mirrors that evaluation:
| Dimension | What It Measures |
|---|---|
| Team | Leadership quality, founder-market fit, team depth |
| Problem & Market | Market size, urgency, timing thesis |
| Solution & Product | Differentiation, defensibility, moat strength |
| Traction | Revenue, users, growth rate, partnerships |
| Financials | Unit economics, burn rate, runway |
| Risk & Fragility | Concentration risk, regulatory exposure, execution risk |
| Conviction | Outlier potential, category-defining signal |
Founders often expect Team to dominate, and VCs say it does. How much each dimension actually drives investor decisions is an open research question for us, and we no longer publish a per-dimension predictiveness figure (see the correction above). (Our say-do gap post explains what changed.)
Practical takeaway: if your Solution & Product score is weak, that is your #1 priority — it is the dimension investors act on most, even when they say "we invest in people."
Can I Trust This Score?
Fair question. Your score is not generated by a single AI call — it is a multi-signal fusion of two independent evaluators that cross-check each other.
Signal 1: AI Evaluator — reads your full deck like a VC partner would, scores all 7 dimensions with reasoning. This captures qualitative nuance — narrative strength, founder conviction, market timing.
Signal 2: Rules Engine — scores the same 7 dimensions from hard data: revenue figures, team size, patent counts, market claims. No interpretation — just the numbers in your deck.
Cross-Check — when both signals agree (within 1 point), the score is high-confidence. When they disagree, the system investigates why and blends proportionally. In practice, this catches both AI hallucinations and data gaps — making your score more reliable than either signal alone.
Score reproducibility: ±0.01 points across repeated analyses. If you upload the same deck twice, you get the same score.
Will I Be Penalised for Not Having Revenue Yet?
No. Your score adjusts for your stage. A pre-seed startup is evaluated differently from a Series A company — just like a real VC would:
| Stage | Team | Market | Product | Traction | Financials |
|---|---|---|---|---|---|
| Pre-Seed | 25% | 25% | 20% | 12% | 8% |
| Seed | 20% | 20% | 18% | 22% | 10% |
| Series A | 15% | 15% | 18% | 27% | 15% |
| Growth | 10% | 12% | 15% | 25% | 20% |
What this means for you: at pre-seed, Team and Market carry 50% of your score — VCs are betting on you and your insight, not your revenue. By Series A, Traction alone is 27% — they want to see the numbers. Your score reflects what matters at your stage, not a one-size-fits-all rubric.
Where Do Most Founders Score?
Across 197 scored pitch decks:
- 59% score 3.0–5.0 — significant gaps to address before investor conversations
- 32% score 5.0–6.5 — close, with specific actions that can move the needle
- 6% score 6.5–7.5 — conversation-ready, investors will take the meeting
- 2.5% score 7.5+ — investor-ready, high raise probability
If you scored above 5.0, you are already in the top 41% of decks. If you scored above 6.5, you are in the top 9%. These percentiles describe where your score sits among decks analysed on the NUVC platform. They are not measured against funding outcomes.
The distribution mirrors real VC pass rates — roughly 2-3% of pitches result in funding offers.
What Are My Realistic Chances of Raising?
NuScore estimates your raise probability — the likelihood of closing a round within 6 months, as a heuristic band:
| NuScore | Raise Probability | What It Means |
|---|---|---|
| ≥8.5 | 75% | Strong — high likelihood within 6 months |
| 7.5–8.5 | 55% | Good — solid chance with the right investors |
| 6.5–7.5 | 35% | Moderate — depends on execution and timing |
| 5.5–6.5 | 20% | Low-moderate — significant improvements needed |
| <5.5 | 10% | Low — fundamental gaps to address |
These probabilities are adjusted by stage (pre-seed has a 0.80x multiplier), traction signals (+10% for strong traction), and team signals (+8% for strong team at early stage). Raise probability is a heuristic estimate built from your score and stage. It is not yet calibrated against funding outcomes, and no public Australian dataset reports seed-to-Series A conversion.
How Do I Compare to Other Startups in My Space?
NuScore compares your deck against all other scored decks in the same stage and sector. If you are a seed-stage AI/SaaS startup, your score is compared to every other seed-stage AI/SaaS deck — not to Series A healthtech companies.
This gives you three things: your rank in the cohort, your percentile, and your gap to investable (the distance from 7.0). A 5.8 might feel disappointing in isolation — but if you are #4 of 23 in your sector, you are actually close to the top.
What Should I Fix First?
NuScore includes a counterfactual analysis — specific actions you can take to improve your score, ranked by expected impact and difficulty:
- "Add revenue or MRR numbers" → expected +1.5 to Traction (difficulty: hard)
- "Define TAM/SAM/SOM with bottom-up methodology" → expected +1.0 to Market (difficulty: medium)
- "Acknowledge top 2-3 risks with mitigation plans" → expected +1.0 to Risk (difficulty: easy)
Each action shows you the projected score delta, the difficulty level, and the specific dimension it moves. You do not have to guess what to work on — the data tells you where your biggest leverage is.
What You Get From Your Score
Your NuScore is not a pass/fail. It is a system that gives you:
- Honest evaluation across the 7 dimensions VCs actually use — not what they say they use
- Stage-appropriate scoring that does not penalise you for being early
- Raise probability — a heuristic estimate of your chances, not yet calibrated against funding outcomes
- Competitive context — where you rank against startups fighting for the same investors
- A specific improvement roadmap — what to fix, in what order, with expected payoff
- Real market benchmarks — AU/NZ funding data so you know what "normal" looks like for your sector
No generic advice. No black box. Just your deck, your market, and a clear path to your next conversation.
Built by Tick Jiang at NUVC. Upload your pitch deck at nuvc.ai — minutes to your score.
Correction (2026-10-19): this post previously said raise probability was calibrated on a 22% seed-to-Series A conversion rate from the State of Australian Startup Funding 2025 report. That report does not contain the figure, and no public Australian dataset reports seed-to-Series A conversion. The claim has been removed; the probability bands are heuristic.
Correction (2026-10-28): this post previously said these score thresholds were "calibrated against 980+ validated decks including 85 known outcomes" and "162 VC deal memos from 15 ANZ VCs". We no longer publish a training-set size or a calibration claim for NuScore, so that sentence now says only what the percentiles measure.
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