← Cockpit
SEM_046predictionAI/Startupseconomy

AI startups are scaling incredibly fast with significantly less capital — barrier to entry for complex software approaching zero.

Predictor: Joe Liemandt

Prior probability
75.0%
Current probability
53.5%
evolves via intake + LBP
Conviction
3/5
Signal quality
B
Resolution
in_progress
Window
2025-01-01 – 2028-12-31
Edges in / out
5 / 5
Tickers exposed
31

Prediction text

AI startups are scaling incredibly fast with significantly less capital — barrier to entry for complex software approaching zero. | AI startup ARR / capital-raised ratios

Key catalyst: AI startup ARR / capital-raised ratios

Watch events: AI startup ARR/capital ratios; seed-to-scale capital efficiency metrics

Resolution evidence

Status: in_progress

Cursor $1B+ ARR at <$2B raised. Midjourney profitable at <$100M raised. Anysphere / Perplexity trajectory faster than prior SaaS cohorts at fraction of capital.

Predictor: Joe Liemandt

κ + Brier as of 2026-05-22
κ (discount)
0.583
Brier
0.0064
excellent
Hits / Misses
1 / 0
of 1 resolved
Hit rate
100.0%
Calibration plot (stated vs observed)

Evidence about this node from Joe Liemandt is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

7 prob_history rows
0%25%50%75%100%prior 75%2026-04-302026-05-152026-05-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 53.5%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 3 fired ✓ · 3 overdue ⏱ · 2 pending
  1. 2025-09-03overdueQ1 window check-in (25%)
  2. 2026-01-15hitCursor reaches $1B ARR with ~150 employees ($6.7M ARR/FTE)
    How: Cursor reports $1B ARR in 24 months (DEV / SaaStr / panto.ai coverage); ARR/FTE multiple far above traditional SaaS norms
    Source: https://dev.to/andrew-ooo/cursor-hit-1b-arr-in-24-months-inside-the-fastest-scaling-saas-company-in-history-3fmdconf 90%
  3. 2026-03-11hitLovable reports $400M ARR with 146 employees ($2.77M ARR/FTE)
    How: Lovable reports $400M ARR (added $100M in Feb alone) at 146 employees per TechCrunch; $2.77M ARR/FTE ratio
    Source: https://techcrunch.com/2026/03/11/lovable-says-it-added-100m-in-revenue-last-month-alone-with-just-146-employees/conf 95%
  4. 2026-04-29hitSaaStr / industry consensus: $500K ARR/employee is the new $200K benchmark
    How: SaaStr publishes $500K ARR/FTE rule article; widely cited as new SaaS efficiency benchmark for AI-native companies
    Source: https://www.saastr.com/the-new-rule-500k-arr-per-employee-is-the-new-200k/conf 90%
  5. 2026-05-07overdueQ2 window check-in (50%)
  6. 2026-04-01 → 2026-06-30overdueCursor reaches $2B ARR (~$13.3M ARR/employee)
    How: Cursor reports $2B ARR with ~150 employees per AI2.work / aifundingtracker.com; $13.3M ARR/employee figure widely cited
    Source: https://ai2.work/blog/cursor-targets-50b-valuation-as-ai-coding-startups-defy-gravityconf 85%
  7. 2027-01-08pendingQ3 window check-in (75%)
  8. 2026-06-01 → 2027-12-31pendingFirst public AI-native unicorn ($1B+ valuation) with <=10 FTE
    How: TechCrunch / The Information report private-market $1B+ valuation for company with <=10 employees, AI-coding-driven product
    Source: https://thegrowthmind.substack.com/p/100m-arr-with-100-employees-ai-startupsconf 60%
  9. 2027-06-01 → 2028-12-31pendingCascade: average AI-native seed-funded startup raises <=$2M before $10M ARR
    How: Carta / Pitchbook / NVCA cohort data shows median capital raised pre-$10M-ARR among AI-native seed cohorts has fallen >=50% vs 2023 baseline
    Source: https://wellows.com/blog/ai-startups/conf 50%

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 53%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
metadata_milestone_miss_sweep2026-05-30T22:15:00Z53.5%-4.9pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.535 blend=0.535 LLR=-0.201 κ=0.58 no_blend
Raw metadata
{
  "trf": 0.6473102108985128,
  "kappa": 0.5833,
  "base_rate": null,
  "predictor": "Joe Liemandt",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.3410807228882953,
  "bayes_factor": "1.2:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.584453019536704,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.495805,
      "label": "Cursor reaches $2B ARR (~$13.3M ARR/employee)",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.85,
      "source_url": null,
      "adjusted_llr": -0.20103162792556845,
      "expected_date": "2026-05-16",
      "measurement_criterion": "Cursor reports $2B ARR with ~150 employees per AI2.work / aifundingtracker.com; $13.3M ARR/employee figure widely cited"
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.546882852371041,
  "outside_weight": 0.45311714762895905,
  "posterior_prob": 0.5349551589325289,
  "posterior_logit": 0.14004909496272683,
  "predictor_brier": 0.0064,
  "inside_posterior": 0.5349551589325289,
  "blended_posterior": 0.5349551589325289,
  "reference_class_id": null,
  "total_adjusted_llr": -0.20103162792556845,
  "predictor_n_resolved": 1
}
LBP2026-05-24T02:00:02Z58.4%+1.7pp
Network propagation: 56.7% → 58.4%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
LBP2026-05-17T02:00:01Z56.7%+3.5pp
Network propagation: 53.2% → 56.7%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
metadata_milestone_miss_sweep2026-05-15T22:14:51Z53.2%-5.8pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.532 blend=0.532 LLR=-0.237 κ=0.58 no_blend
Raw metadata
{
  "trf": 0.6575842553206652,
  "kappa": 0.5833,
  "base_rate": null,
  "predictor": "Joe Liemandt",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.36488868190108426,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.5902233288329348,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.5833,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2365077975594923,
      "expected_date": "2026-05-07",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5396910212755344,
  "outside_weight": 0.46030897872446563,
  "posterior_prob": 0.532051211764637,
  "posterior_logit": 0.12838088434159195,
  "predictor_brier": 0.0064,
  "inside_posterior": 0.532051211764637,
  "blended_posterior": 0.532051211764637,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2365077975594923,
  "predictor_n_resolved": 1
}
metadata_milestone_miss_sweep2026-05-02T22:07:21Z59.0%-5.6pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.590 blend=0.590 LLR=-0.237 κ=0.58 no_blend
Raw metadata
{
  "trf": 0.6664919347394406,
  "kappa": 0.5833,
  "base_rate": null,
  "predictor": "Joe Liemandt",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.6013964794605767,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.6459757336931096,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.5833,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2365077975594923,
      "expected_date": "2025-09-03",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5334556456823916,
  "outside_weight": 0.46654435431760843,
  "posterior_prob": 0.5902233288329348,
  "posterior_logit": 0.3648886819010844,
  "predictor_brier": 0.0064,
  "inside_posterior": 0.5902233288329348,
  "blended_posterior": 0.5902233288329348,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2365077975594923,
  "predictor_n_resolved": 1
}
LBP2026-04-30T16:39:51Z64.6%-3.8pp
Network propagation: 68.4% → 64.6%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z68.4%-6.6pp
Network propagation: 75.0% → 68.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
killerTK10
$100T Sovereign Debt Crisis
12.0%0.0500.750+0.131
killerTK07
Labor Political Backlash (UBI Mandate / AI Tax)
18.0%0.0500.750+0.089
killerTK14
Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
20.0%0.0500.750+0.075
killerTK04
Macro Recession 2026-27 (Structural Deleveraging)
25.0%0.0500.750+0.040
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.750+0.005

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq247_015
Government will print UBI checks in next 2-5 years due to AIPeter Diamandis
46.1%0.6000.050-0.099
prereq246_003
Global economy will grow 10x in 10 years (cited from Elon MuElon Musk
37.3%0.5500.050-0.039
prereq248_009
Elon Musk's economy will grow 10x in about 10 years.Elon Musk
37.3%0.5500.050-0.039
prereq239_027
Diamandis cites Musk: triple-digit GDP growth in 5+ yearsElon Musk
34.0%0.5000.050-0.034
prereq239_001
Global economy will be 10x its current size in 10 yearsElon Musk
37.7%0.6000.050-0.015

Ticker exposure

31 ticker(s) linked

Beneficiaries (23)

UDMYBBAISRFMSOUNNVDACOURCRCLDOCNAIADUSGTLBZMAMZNGDDYGOOGLIBMMETAMSFTNFLXORCLRDDTSPOTUBER

Adverse (7)

KKRJNKAPOHYGKREXLYXHB

Prerequisites (5)

Predictions that must hit first
TypePredTitleDomainLag
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK07Labor Political Backlash (UBI Mandate / AI Tax)
killerTK10$100T Sovereign Debt Crisis

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq239_001Global economy will be 10x its current size in 10 yearsMacro/Economy
prereq247_015Government will print UBI checks in next 2-5 years due to AI turbulenceMacro/Economy
prereq246_003Global economy will grow 10x in 10 years (cited from Elon Musk).Macro/Economy
prereq248_009Elon Musk's economy will grow 10x in about 10 years.Macro/Economy
prereq239_027Diamandis cites Musk: triple-digit GDP growth in 5+ yearsMacro/Economy

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importCursor $1B+ ARR at <$2B raised. Midjourney profitable at <$100M raised. Anysphere / Perplexity trajectory faster than prior SaaS cohorts at fraction of capital.

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "THESIS",
  "role": "Cited-Executive",
  "context": "Liemandt observes (via Alpha School) that AI startups scale with far less capital — validates hardware-software recursion at startup layer.",
  "to_year": 2028,
  "conv_cues": "observes; scaling incredibly fast",
  "direction": "HAPPEN",
  "from_year": 2025,
  "timeframe": "2025+",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -8,
      "source_id": null,
      "expected_date": "2025-09-03",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Cursor reaches $1B ARR with ~150 employees ($6.7M ARR/FTE)",
      "source": "https://dev.to/andrew-ooo/cursor-hit-1b-arr-in-24-months-inside-the-fastest-scaling-saas-company-in-history-3fmd",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.9,
      "expected_date": "2026-01-15",
      "observed_date": "2026-01-15",
      "research_origin": "deep_research",
      "measurement_criterion": "Cursor reports $1B ARR in 24 months (DEV / SaaStr / panto.ai coverage); ARR/FTE multiple far above traditional SaaS norms"
    },
    {
      "kind": "llm_pre_event",
      "label": "Lovable reports $400M ARR with 146 employees ($2.77M ARR/FTE)",
      "source": "https://techcrunch.com/2026/03/11/lovable-says-it-added-100m-in-revenue-last-month-alone-with-just-146-employees/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.95,
      "expected_date": "2026-03-11",
      "observed_date": "2026-03-11",
      "research_origin": "deep_research",
      "measurement_criterion": "Lovable reports $400M ARR (added $100M in Feb alone) at 146 employees per TechCrunch; $2.77M ARR/FTE ratio"
    },
    {
      "kind": "llm_pre_event",
      "label": "SaaStr / industry consensus: $500K ARR/employee is the new $200K benchmark",
      "source": "https://www.saastr.com/the-new-rule-500k-arr-per-employee-is-the-new-200k/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.9,
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29",
      "research_origin": "deep_research",
      "measurement_criterion": "SaaStr publishes $500K ARR/FTE rule article; widely cited as new SaaS efficiency benchmark for AI-native companies"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-05-07",
      "observed_date": null,
      "miss_emitted_at": "2026-05-15T22:14:51.696830+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Cursor reaches $2B ARR (~$13.3M ARR/employee)",
      "source": "https://ai2.work/blog/cursor-targets-50b-valuation-as-ai-coding-startups-defy-gravity",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.85,
      "expected_date": "2026-05-16",
      "miss_emitted_at": "2026-05-30T22:15:00.756418+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-06-30",
        "from": "2026-04-01"
      },
      "measurement_criterion": "Cursor reports $2B ARR with ~150 employees per AI2.work / aifundingtracker.com; $13.3M ARR/employee figure widely cited"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": 
... (truncated)