SetList — settlement clerk for independent music venues

1. One-liner

Turns a deal memo, box-office report, and a pile of receipts into a reconciled show settlement in five minutes.

2. Trend signal — why now?

Show settlement — the night-of-show reconciliation where a venue booker and a tour manager agree what the artist actually walks out with — is still done on spreadsheets and, per the trade’s own how-to guides, “a pen and a napkin.” The math is not hard in theory ((Gross Box Office − Taxes − Expenses) × 85% = artist walkout), but in practice it’s a stressful, receipt-heavy, error-prone reconciliation done at 1am with real money on the line and an agent’s email waiting the next morning. The tooling that exists is either free-and-dumb (settlement-sheet generators, gig calculators) or a full booking suite (Prism.fm, Opendate, VenuePilot) priced and scoped for multi-venue operators — overkill for the solo booker at a 250-cap room.

Three things converged in the last 12 months:

1. The niche is bleeding. NIVA represents 8,000+ independent venues; ~150 small-cap (200–800) clubs closed in 2024 and 64% of independent stages were unprofitable that year. When you’re that thin, a settlement math error or a leaked expense is real money.
2. Doc-parsing got good and cheap. Deal memos, box-office reports from a dozen ticketing systems, and a stack of vendor receipts are exactly the messy semi-structured documents 2026 vision models now read reliably — the technical thing that made this a manual job just got automated.
3. Money is in the category. Prism.fm and VenuePilot are funded and growing; live music generated $153B in economic output in 2024. But the venue-management incumbents sell a CRM-plus-booking suite; settlement is one buried feature, not the product.

Provenance:

• Signal 1: Settlement is a stressful night-of-show math/receipt task — “Big numbers… large amounts of money… you don’t want to get it wrong”; industry teaches it as pen-and-napkin work — https://tourcollective.co/the-two-minute-tm/001 — 2026-07-09
• Signal 2: 8,000+ NIVA independent venues, ~150 small-cap closures in 2024, 64% unprofitable — https://www.hypebot.com/niva-state-of-live-how-us-independent-venues-power-local-economies/ — 2026-07-09
• Signal 3: Incumbents (Prism.fm, Opendate, VenuePilot) sell full venue-management/booking suites where settlement is one feature of a larger CRM, not a standalone tool — https://prism.fm/opendate/ — 2026-07-09 Category: Underserved niche

3. The opportunity

Every incumbent treats settlement as a downstream feature of a booking CRM. That means to get good settlement you first buy — and configure, and migrate your calendar into — a whole venue-management platform. The solo booker at an independent club doesn’t want that. She wants the last 30 minutes of the night to stop being painful: take the deal she already agreed to, the box-office numbers, and the receipts, and produce a clean, backup-linked settlement sheet that the tour manager signs without an argument.

The 10× is narrow and real: an AI-first tool that ingests the documents that already exist (offer/deal memo, ticketing report, expense receipts) and produces the reconciled sheet — catching the versus-vs-guarantee comparison, the co-pro splits, and the expense-cap overages that humans fat-finger at 1am — beats both the napkin (error-prone, no audit trail) and the suite (heavy, expensive, requires you to move your whole life into it). It’s a wedge, not a suite: do the single most-hated 30 minutes better than anyone, then earn the right to expand.

4. Target market

• Primary customer: The talent buyer / booker / GM at an independent US music venue in the 150–800 capacity band — the club that runs 8–25 shows a month, often with 1–2 people wearing every hat, and settles on spreadsheets. Also independent promoters routing 20–40 dates a month who co-pro with those rooms.
• Why they buy: In their words — settlement is where “you don’t want to get it wrong,” co-pro reconciliation “takes weeks” of matching spreadsheets that don’t agree, and expenses without a backup receipt cause settlement delays and agent disputes. It’s the recurring, high-stakes, low-joy part of the job.
• Rough TAM reasoning: 8,000+ NIVA venues; conservatively 3,000–4,000 in the target capacity band that settle manually, plus a few thousand independent promoters and small booking agencies. A niche measured in low tens of thousands of seats — too small for a VC-scale venue-OS, right-sized for a bootstrapped tool at $79–199/mo.
• Why now for them: Margins are gone (64% unprofitable) and staff is stretched thinner than ever, so any tool that removes a stressful hour and prevents a money-losing math error is an easy yes — and the doc-parsing that makes it possible only just got reliable and cheap enough to offer at their price point.

5. Product sketch (MVP)

• Upload the deal. Drop the offer/deal memo (PDF, email, or paste); SetList extracts guarantee, split %, deal type (flat / versus / door), expense caps, and co-pro terms.
• Pull the box office. Upload the ticketing/box-office report (Eventbrite, DICE, See Tickets, AXS export, or a photo of the manifest); it reads gross, comps, taxes, and fees.
• Drop the receipts. Throw in the stack — sound/light hire, stagehands, catering, PRS/ASCAP, ad spend, security — and it itemizes each expense with the receipt linked as backup.
• Auto-reconciled sheet. Produces the settlement: net box office, expenses, guarantee-vs-percentage comparison, artist walkout, and each side’s cut — with the math shown, not hidden.
• Error catcher. Flags the classic mistakes: expense over its contracted cap, missing backup receipt, versus deal where the percentage beat the guarantee (or vice versa), co-pro split that doesn’t sum to 100%.
• Co-pro mode. One shared sheet both promoters see, so the “your numbers don’t match my numbers” argument disappears.
• Signable + branded. One-click branded PDF the tour manager can approve on the spot; every past show archived and searchable.

6. AI angle — what’s load-bearing

Remove the AI and this is just another settlement-sheet template — which already exists for free and nobody’s happy with. The load-bearing work is reading the messy documents that make settlement manual today: deal memos written in inconsistent free text, box-office reports from a dozen ticketing platforms in a dozen formats, and a physical pile of receipts and vendor invoices. Extracting structured line items from all three and mapping them to the right settlement fields — then applying the deal logic (versus comparison, caps, splits) and catching the mismatches — is exactly what a modern vision+reasoning model does and what a plain calculator can’t. The AI is the thing that turns “documents you have” into “sheet that’s done,” which is the entire product.

7. Localization angle (if any)

N/A — this is a US-first play. The deal structures (versus deals, co-pros, guarantee-vs-percentage), the ticketing platforms, and the NIVA ecosystem are US-specific enough to be a moat of familiarity, not a localization gap. UK/EU/AU are natural expansions later (same shape, different ticketing systems and PRS bodies), but v1 wins by nailing the American independent-venue vernacular, not by translating anything.

8. Business model — path to $1M–$5M ARR

• Pricing: $99/mo per venue for the standard tier (unlimited shows, one room); $199/mo for multi-room / promoter tier with co-pro sharing and 3+ users. Add-on: $10/settlement pay-as-you-go for tiny rooms that only book a few shows a month.
• ACV: ~$1,400/yr blended (mix of monthly and promoter tiers).
• Rough math to $1M ARR: ~700 paying venues/promoters × ~$1,400 = ~$1M. Out of a 3,000–4,000-venue reachable base plus promoters, that’s ~15–20% penetration — aggressive but not fantasy for a tool that removes the single most-hated task.
• Rough math to $5M ARR: Needs the promoter/agency tier to carry more weight (more seats, more rooms) and a UK/EU expansion, plus an ancillary-revenue module (merch/bar reconciliation) lifting ACV toward $2,500–3,000. ~1,800 accounts at that blended ACV.
• Expansion path: Land on settlement, expand into the adjacent night-of-show and post-show workflow: advance/day-sheets, expense-log-from-day-one, artist payment initiation, and a booker-facing archive/analytics (“what did we actually clear on hip-hop Thursdays”). Each is a seat/usage upsell without becoming a bloated booking suite.

9. Go-to-market wedge — first 100 customers

• NIVA is a list. The National Independent Venue Association’s 8,000+ members are addressable through the association’s directory, regional chapters, and its conference (NIVA’s annual event) — one warm room full of exactly the buyer. Sponsor/attend, demo the 5-minute settlement live.
• Cold, but specific. Scrape the ~3,000 target-capacity independent venues (Bandsintown/Songkick listings expose room + capacity), find the booker on the venue site, and send a personalized 90-second Loom: “here’s your last show settled in SetList.” Bookers are a tiny, findable, tight-knit world — a 3–5% reply rate on a hyper-relevant demo is realistic.
• Ride the tour managers. TMs settle at dozens of venues; they’re the ones who feel the venue’s bad math. Get 50 TMs to ask their venues to use SetList (via the TM communities — Tour Collective, Facebook TM groups, Daysheets’ audience). One evangelist TM pulls in 5–10 venues.
• Promoter beachhead. Independent promoters routing 20–40 dates/month feel co-pro reconciliation pain worst; land a handful and their venue partners get pulled onto the shared-sheet.
• Trade content that ranks. The “how to settle a show” guides get real search traffic; publish the definitive settlement toolkit + free calculator as the top-of-funnel that converts to the paid reconciler.

10. Build complexity — justification

Medium. The math engine and settlement-sheet output are straightforward; the real work is robust document extraction across many ticketing-report and receipt formats plus the deal-logic edge cases (versus, caps, co-pro, comps, taxes). All of it is off-the-shelf model APIs plus a standard web stack — no custom models, no hardware, no compliance bureaucracy. A technical founder with a domain advisor (an ex-booker or TM) ships a credible v1 in ~10–14 weeks; the domain advisor is what keeps it from being a toy.

11. Gating checklist

Gate	Pass?	Note
Legal in target market	✅	Financial reconciliation tool; no licensing needed. Not touching payments in v1.
Ethical — no harm / dark patterns	✅	Increases transparency between venue and artist — the opposite of a dark pattern.
Market exists (evidence above)	✅	8,000+ venues, documented pain, funded incumbents, free crappy tools proving demand.
1–5 person team can build this	✅	Doc-parsing + calc + PDF. Solo technical founder + domain advisor.
Launchable with <$50K / ₹40L	✅	Model API + web stack; main cost is founder time and a booker advisor.

12. Feasibility score

Axis	Weight	Score	Notes
Problem intensity	20	15/20	Real, recurring, high-stakes, and hated — but it’s a monthly-ish task, not hair-on-fire daily, and many limp along on Excel.
Demand evidence	15	11/15	Strong: quantified market, documented pain quotes, funded incumbents, free tools proving want — but I lack a raw “shut up and take my money” venue thread.
Build feasibility	15	11/15	Doc extraction across many formats + deal-logic edge cases is the gnarly part; everything else is standard. ~10–14 weeks.
Distribution clarity	15	12/15	NIVA is a findable list, TMs are a viral vector, promoters a beachhead. Not a 2-week sprint, but named and cheap.
Revenue mechanics	15	11/15	Pricing benchmarks against suite subscriptions; ACV reasonable; $1M needs healthy penetration of a finite base.
Time to first revenue	10	8/10	Pre-sellable to a few venues off the demo; paid pilots within weeks of a working extractor.
Defensibility	10	5/10	Execution + workflow lock-in (your show history lives here) + booker/TM community trust. Suites could bolt on a better settlement, but they won’t unbundle.
Total	100	73/100

13. Qualitative modifiers

Founder-fit tags

technical-heavy · domain-expertise-required — the doc-extraction quality is the product, and you cannot fake knowing how a versus-deal co-pro settles at 1am. Get a real booker or tour manager as co-founder/advisor before writing a line.

Key assumptions to validate (3–5)

1. Assumption: Independent bookers will pay ~$99/mo for a settlement-only tool rather than tolerate their spreadsheet for free. How to test: 30 booker interviews + a pre-sell landing page; count deposits/LOIs, not “that’s cool.”
2. Assumption: Document extraction is reliable enough across the top 6–8 ticketing report formats and messy receipts that the sheet is trustworthy without heavy manual correction. How to test: Run 50 real anonymized settlement packets through a prototype extractor; measure field-level accuracy and correction time.
3. Assumption: The finite market (few thousand target venues + promoters) can support a $1M+ ARR business at achievable penetration. How to test: Build the actual reachable list from Bandsintown/Songkick + NIVA; size it honestly before committing.
4. Assumption: Incumbents won’t unbundle a good standalone settlement tool fast enough to matter. How to test: Track Prism/Opendate/VenuePilot roadmaps and pricing; watch for a low-tier settlement-only SKU.

Risk flags

1. Market size ceiling: The reachable base is finite and thin-margined. $1M ARR is very doable; $5M requires geographic expansion and ancillary modules — the ceiling is real, plan for it.
2. Platform dependency: Box-office data comes from ticketing platforms you don’t control (Eventbrite, DICE, AXS, etc.). Format changes or an API clampdown raises extraction cost; keep photo/PDF ingestion as the universal fallback.
3. Incumbent bolt-on: A funded venue-OS could ship “AI settlement” as a feature. Defense is depth + the unbundled, cheaper, faster wedge — win the bookers who will never buy the whole suite.
4. Trust threshold: Money is on the line; one wrong auto-computed sheet that costs a venue real cash burns trust hard. The error-catcher and “show the math” transparency aren’t nice-to-haves, they’re survival.

14. Structured verdict

Score:                  73/100
Verdict:                GO
Confidence:             Medium
Best-fit builder:       Technical founder + ex-booker/tour-manager co-founder or advisor
Time to revenue:        6–10 weeks to paid pilots off a working extractor demo
Capital to launch:      $8–15K ($ mostly model-API + founder time; no capex)
Top 3 assumptions to validate first:
  1. Bookers pay ~$99/mo for settlement-only vs. free Excel — 30 interviews + pre-sell deposits
  2. Extraction accuracy across top ticketing/receipt formats is trustworthy — 50 real packets, measure correction time
  3. Reachable base is big enough for $1M+ ARR — build the actual list, size it honestly
Kill criteria:
  - Abandon if <15% of 40 target bookers show real intent (deposit/LOI, not praise)
  - Abandon if extraction requires manual correction on >30% of line items across the test packets
  - Abandon if a funded incumbent ships a cheap standalone settlement SKU before your v1

15. Next step — 1-week validation sprint

• Day 1–2: Build the reachable list — pull 300 US independent venues in the 150–800-cap band from Bandsintown/Songkick, find the booker for each. Draft the 90-second “your last show, settled” demo pitch.
• Day 3–4: Collect 20–30 real anonymized settlement packets (deal memo + box-office report + receipts) from friendly venues/TMs; run them through an off-the-shelf extraction prototype and measure how close the auto-generated sheet gets. Interview 15 bookers on price and pain.
• Day 5: Decide go/no-go. Go if (a) ≥6 of 15 interviewed bookers say they’d pay ~$99/mo and put down a pilot commitment, and (b) the prototype gets settlement line items ≥70% right on the real packets with correction under ~10 minutes. Anything less, iterate the extractor or kill.

The falsifiable result: real pilot commitments from real bookers plus a measured extraction-accuracy number on real documents — not “the demo was cool.”