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// PLATFORM

FeaturesRisk MatchingMethodologyPricingAPI

// COMPANY

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// EXPLORE

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In 90% of analyses, the collapse pattern is already in our database (82% exact primary cause).

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// PRODUCT

Nine tools.
One workflow.

The only risk workflow built on 6,815 verified startup autopsies. From structural match to IC-ready memo — in one platform, without manual work.

Start free →See pricing
6,815 verified autopsies90% Top-3 cause accuracy82% primary cause accuracy15 structural dimensions9 tools in one platform
  1. 01Build deal pipeline→
  2. 02Describe the startup→
  3. 03Get Risk Score→
  4. 04Read survival curves→
  5. 05Generate IC memo→
  6. 06Annotate with team→
  7. 07Monitor portfolio
// 01Risk Match Engine

Cross-reference any company against every documented collapse.

A startup is matched against 6,815+ verified autopsies across 15 structural dimensions: sector, country, funding stage, moat type and strength, hype cycle position, business model, B2B/B2C, founding year, archetype, primary fatal mistake, and more. A Naive Bayes + retrieval ensemble (V12) predicts the most likely failure causes — 90% Top-3 accuracy, 82% primary cause accuracy, validated on n=6,089. When a secondary cause is also identified, Top-3 accuracy improves by a further +8pp. No black box — every score is traceable to specific signals.

→ VC associates · Deal teams · Pre-IC review
Run a risk match →
// match result
RISK SCORE
87 / 100 · HIGH

CAUSE DISTRIBUTION
Unit Economics (34%)
Premature Scaling (28%)
Competition (19%)

TOP MATCH
WeWork — 92% structural similarity
SaaS · $47B peak · office-sharing moat
Collapsed 14mo after S-1 withdrawal

CAUSE PREDICTION (NB + ENSEMBLE)
Unit Economics 34% ← primary
Premature Scaling 28%
Competition 19%
Accuracy: 90% Top-3 · 82% primary · n=6,089
// 02Survival Probability

Historical survival rates for your exact structural profile.

Kaplan-Meier survival curves built from real collapse sequences — not industry averages or analyst opinion. For your matched cohort, you get survival probability at 12, 24, and 36 months. Rates are stratified by dominant cause, so you can see whether the risk peaks early (PMF failure) or late (unit economics/scaling).

→ GPs · Partners · Investment Committees
How we compute the curves →
// survival curve · SaaS B2B · Series B · EU
COHORT
847 comparable collapses
Median survival: 28 months

SURVIVAL RATE
12mo 24mo 36mo
All causes 68% 44% 31%
Unit economics 61% 38% 24% ← dominant
Premature scale 71% 49% 35%
Competition 74% 52% 41%

INTERPRETATION
Unit economics dominant → 24mo survival: 38%
Cohort average: 44%
// 03IC Memo GeneratorHIGHEST ROI

From risk match to IC-ready memo. In minutes.

Three output formats generated from your match results — each targeting a different audience. IC Memo: full risk analysis with score rationale, cause breakdown, survival interpretation, top 3 comparable collapses, DD questions, and LP-ready language. IC 1-pager: condensed executive summary for committee review. LP Note: investor-facing narrative framing the risk in portfolio context. Now includes the Full Diligence Brief — a single-click export that orchestrates risk assessment, LP narrative, DD questions, and failure analogues into one shareable PDF. Average prep time: 2 minutes vs. 3 hours manually. The 3–4 hours your analyst spends building this, automated — without sacrificing analytical rigour.

→ Analysts · Associates · Deal teams
Try the IC memo generator →
// IC memo · excerpt
RISK ASSESSMENT MEMO
Target: [Company] · Series B · B2B SaaS · Spain
RISK SCORE: 87/100 · CLASSIFICATION: HIGH

EXECUTIVE SUMMARY
Structural profile matches 847 documented collapses.
Dominant pattern: unit economics failure, Series B, EU.

PRIMARY RISKS
1. Unit Economics (34%) — CAC payback signals danger zone
2. Premature Scaling (28%) — headcount / ARR ratio elevated

DUE DILIGENCE TRIGGERS
□ Request 24-month cohort LTV/CAC by channel
□ Benchmark CAC payback vs. sector median (18mo)

OUTPUT FORMATS
→ IC Memo (full · PDF)
→ IC 1-pager (executive summary)
→ LP Note (investor narrative)
// 04Deal Scouting

Rank your deal pipeline by survival probability.

Add companies under evaluation and score them with the same engine as Risk Matching — inverted. Survival score = 100 − risk score. Sort your pipeline from most structurally sound to most at-risk. Import deals directly from Airtable, Notion, or Affinity (Fund plan). CSV import and manual entry on Analyst plan. Red flag reports and targeted DD questions are generated automatically for each scored deal.

→ Deal teams · Associates · Fund managers
Scout your pipeline →
// deal pipeline · ranked by survival
DEAL PIPELINE · 4 evaluating

RANK COMPANY SECTOR SURVIVAL
#1 Stripe Fintech ████ 82 HIGH
#2 Linear SaaS ███ 61 MED
#3 Glovo Mktp. ██ 38 LOW
#4 Greensill Fintech █ 21 LOW

DEAL DETAIL · Glovo
Survival Score 38 / 100 · LOW
Top risk: Premature Scaling (31%)
DD question: How does unit economics look at city level?
// 05Portfolio Monitor & Alerts

Know when a startup's risk profile shifts — before it's a problem.

Weekly or daily structural risk alerts across your full portfolio. When a company matches new historical patterns — shifted hype cycle position, new funding stage, changed business model — you get notified with the updated risk score and the specific signals that triggered the change. Only structural shifts that move the score by a meaningful threshold.

→ Fund managers · GPs · Family Offices
Set up portfolio monitoring →
// weekly portfolio digest
PORTFOLIO RISK DIGEST · Week of 2026-06-09

RISK CHANGES (2 companies)
⚠ Company A · Risk Score 71 → 84 (+13)
Trigger: hype cycle shifted to POST_PEAK
New dominant cause: Competition (was Unit Economics)
Recommended: review competitive moat assumptions

✓ Company B · Risk Score 62 → 57 (−5)
Trigger: Series B closed — funding stage updated
Survival 24mo: 49% → 54% · No action required

STABLE (7 companies) · No significant changes
// 06Native Integrations

Risk analysis in your existing workflow — not a new tab.

Sync risk analysis results directly into your Notion deal rooms, Airtable portfolio trackers, Affinity CRM, Visible reports, Excel workbooks, or Google Sheets. Risk scores, cause distributions, and comparable collapses appear as structured fields — no copy-paste, no reformatting. Your existing workflow gains risk intelligence without adding tool overhead. Outbound webhooks push portfolio_score_changed events to your endpoint the moment a risk score is updated. Configure in the Developer Hub. Risk scores are also written automatically to Affinity fields and Notion database properties — no manual sync needed.

→ All investment team roles · Enterprise
Connect your tools →
// sync to Notion deal room
UNICORNBURN → NOTION SYNC
Deal: Series B — [Company Name]
Last synced: 2026-06-09 09:14

SYNCED FIELDS
Risk Score 87 / 100
Risk Classification HIGH
Dominant Cause Unit Economics (34%)
Comparable Cases WeWork · Homejoy · Fab.com
Survival 24mo 44% (cohort avg)
IC Memo [attached PDF]

STATUS ✓ Synced to /deals/series-b/[company]/risk
// 07Collaborative Team Annotations

Deal memos and red flags — pinned to the analysis, visible to your whole team.

Every shared risk analysis has a team annotations panel. Analysts add investment committee notes, flag due-diligence issues, or record follow-up questions directly on the analysis. All team members see the same thread, in context. No Slack thread to lose, no comment buried in a spreadsheet.

→ Investment teams · IC committees · Fund analysts
Try collaborative annotations →
// analysis — team annotations
TEAM ANNOTATIONS · Series A — [Company X]

Sofia M. · Jun 12
Red flag: burn rate assumes 18mo runway but unit
economics suggest 11mo at current CAC. Confirm in DD.

Carlos R. · Jun 13
Confirmed. CFO agrees — raising debt bridge to extend.
IC: proceed with covenant on 6mo EBITDA target.

[ Add annotation… ]
// 08Real-time Portfolio Signals

News and events for every portfolio company — automatically surfaced every morning.

UnicornBurn scans the web daily for every company in your portfolio and surfaces categorised signals — funding rounds, leadership changes, regulatory actions, competitive moves, product launches — directly in your feed. No manual searches, no missed signals.

→ Fund managers · GPs · Portfolio operations
Activate portfolio signals →
// portfolio signals feed
PORTFOLIO SIGNALS · Today

[FUNDING] Company A — Series C $40M announced
Source: TechCrunch · Jun 14, 2026

[LEADERSHIP] Company B — new CTO appointed
Source: LinkedIn · Jun 13, 2026

[PRODUCT] Company C — v3.0 launch · EU expansion
Source: company blog · Jun 12, 2026
// 09Developer API

Embed failure intelligence directly into your investment stack.

A REST API that makes our autopsy database a structured data layer for your existing infrastructure. Pull failure data into proprietary scoring models, fund management systems, or research pipelines — without rebuilding what you already have. Filter across sector, collapse style, hype cycle phase, moat type, geography, funding stage, business model, and timeline events. Paginated JSON responses, no SDK required. Rate limits scale with your plan; full 6,815-autopsy dataset on Fund tier.

→ Quant funds · Tech-forward PE · In-house platforms
View API docs →
// GET /api/autopsies
GET /api/autopsies
?sector=Fintech
&collapseStyle=Regulatory+Kill
&country=spain&limit=3

HTTP 200 OK · 47 results

[{
"name": "Aplazame",
"sector": "Fintech",
"country": "Spain",
"causeCategory": "Regulatory Kill",
"totalFundingM": 12,
"survivalMonths": 34,
"timeline": [...]
}]

// VALIDATED ACCURACY

90%
Top-3 cause accuracy
n=6,089 backtested
82%
Primary cause accuracy
NB+retrieval ensemble
+8pp
Secondary cause boost
when secondary signal present
15
Structural dimensions
per company profile

// GET STARTED

Every deal deserves a structural stress-test.

Free account gives you 1 risk match. No card required. The full platform — IC memos, deal scouting, collaborative annotations, portfolio signals — starts at €199/month.

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