LEVL is a verified reputation platform for professional creators, talent managers, and brand sponsors. It gives creators a portable, verified professional record — built from confirmed campaign history, platform data, and counterparty endorsements — and gives managers and brands the tools to discover, evaluate, and work with creators based on evidence rather than follower counts.
The creator economy has an audience graph. It does not have a reputation graph. LEVL is building one.
LEVL is currently in the validation phase. The platform, trust model and ecosystem architecture have been developed as a working concept and are now being tested with creators, managers and industry participants. Feedback to date has been consistently positive around the core thesis: that reputation, trust and progression remain fragmented across platforms, creating friction for creators, managers and brands alike.
The current focus is not rapid scaling. It is validating scoring assumptions, onboarding a small pilot cohort and determining whether the LEVL trust framework influences real-world discovery and commercial decisions. The objective of this phase is simple: prove the infrastructure is valuable before expanding the network.
The most critical unvalidated assumption in the go-to-market plan is that one manager account leads to multiple creator onboardings. This will be tested explicitly during the validation stage — not assumed and not left to chance.
A validation round at this stage would most likely be structured as one of the following, depending on investor preference and valuation discussions. No fixed equity or valuation is committed here — terms are subject to discussion.
The purpose of this section is to introduce how participation may work — not to commit to specific terms. Structure will be agreed in conversation.
The following represents early-stage validation ahead of a formal seed raise. Numbers are small — intentionally. The goal at this stage is signal, not scale.
Each user type plays a distinct role in the model. The commercial priority of each segment is different from its network importance.
LEVL is not attempting to launch at scale. The initial go-to-market strategy is deliberately constrained: build a small, observable pilot cohort, validate the core assumptions, then grow through trusted relationships rather than broad acquisition.
LEVL is designed to grow through aligned network participation rather than relying solely on paid customer acquisition. The objective is not to incentivise recruitment for its own sake. It is to align the interests of creators, managers and ecosystem participants with the long-term success of the platform.
As the network becomes more valuable, participants benefit from introducing trusted individuals and organisations who strengthen the ecosystem. This creates a scalable acquisition model where growth is driven by reputation, trust and community participation rather than advertising spend alone.
LEVL is being built by Jonathan Starr, a commercial telecoms and partner ecosystem operator with 15+ years' experience working across fragmented networks of suppliers, partners, platforms and customers. That background matters because LEVL is not being approached as a creator app, agency tool or content platform. It is being built as reputation infrastructure: a trust layer that can sit across disconnected ecosystems and make progression, credibility and commercial readiness easier to understand.
The original insight came from seeing the same pattern repeat across industries: valuable people, partners and opportunities often exist in separate systems, but there is no portable way to prove trust, performance or readiness across them. LEVL applies that infrastructure thinking to the creator economy, where reputation is valuable but fragmented across platforms.
All figures below are modelled projections. See the 36-Month Plan tab for full quarterly breakdown and assumptions.
| Plan | Price | What they get |
|---|---|---|
| Free | £0 | Profile, 2 platform connections, basic signals visible to verified viewers |
| Pro | £12–15/mo | All platform connections, full signal history, opportunity matching, verified badge, shareable Passport link, priority in sponsor discovery |
Annual plan (~£120) reduces churn. Creators are price-sensitive but status-sensitive. One inbound sponsor deal — average deal exceeds £500 — pays 3–4 years of Pro. The subscription validates intent, not budget.
| Plan | Price | What they get |
|---|---|---|
| Starter | £79/mo | Up to 10 creators, roster dashboard, pitch pack export |
| Agency | £199/mo | Up to 50 creators, pipeline CRM, brand matching, priority support |
| Enterprise | £499+/mo | Unlimited roster, API access, white-label pitch packs, dedicated account manager |
Managers have the clearest ROI: one deal closed through LEVL pays for a year of the tool. 200 Agency subscribers alone = £478K ARR. Each manager signup brings an immediate roster of 10–30 creators — making this the most efficient supply-side acquisition channel available.
| Plan | Price | What they get |
|---|---|---|
| Discovery | £299/mo | Search verified creators, view full reputation profiles, signal breakdowns |
| Partner | £799/mo | Advanced filters, direct contact, signal analytics, deal tracking |
| Enterprise | £2,500–10,000/mo | API access, custom creator matching, dedicated account manager, white-glove onboarding |
Brands already spend thousands per month on influencer agencies with worse data. A £3,600/year Discovery subscription is a rounding error if it avoids one bad hire or surfaces one reliable repeat partner. Sell annually — reduces churn and improves cash flow.
The ratios below are projections based on assumed acquisition channels, average retention, and early-stage market comparables. They are illustrative of the model's structure, not validated performance.
Early sales effort should be focused on the manager segment — highest modelled ratio, fastest to close, and each manager brings their full creator roster as a secondary benefit. This is the commercial entry point that makes the whole model more efficient.
Infrastructure (variable — scales with users)
| Item | Seed stage | At 10K+ users |
|---|---|---|
| Hosting (AWS / GCP) | £500–2,000/mo | £5,000–15,000/mo |
| Platform APIs (YouTube, Twitch, TikTok) | £0–200/mo | £500–2,000/mo |
| Storage / CDN | £200–500/mo | £1,000–3,000/mo |
| Email / comms | £100–300/mo | £500–1,500/mo |
Instagram/Meta API is restricted at launch. Plan: creator-verified screenshots + counterparty confirmation, clearly flagged as "counterparty-confirmed" not "API-verified." This preserves verification integrity with slightly lower confidence for Instagram signals. Meta partnership conversation targeted at Series A.
Team (the dominant fixed cost)
| Role | Annual cost | Notes |
|---|---|---|
| Founders × 3 (CEO, CTO, Growth) | £85–90K total draw | Deferred pre-revenue; minimal salary pre-seed |
| Full Stack Engineer (M3 hire) | £55,000 | First external hire — product velocity |
| Customer Success Manager (M7) | £36,000 | Creator onboarding, churn reduction |
| Sales / Partnerships Exec (M10) | £42,000 + OTE | First dedicated revenue role |
| Phase 1 peak payroll | ~£160–190K/yr |
Breakeven is modelled at approximately £35,000/month in operating costs for a lean Phase 1 team. The table below shows what subscriber volume is required and why entry-tier pricing alone does not get there.
| Segment | Count | Price | Monthly revenue |
|---|---|---|---|
| Creator Pro | 500 | £12/mo | £6,000 |
| Manager Agency | 80 | £199/mo | £15,920 |
| Brand Discovery (entry tier) | 15 | £299/mo | £4,485 |
| Subtotal — base recurring | 595 paying | £26,405/mo |
| Segment | Count | Price | Monthly revenue |
|---|---|---|---|
| Creator Pro | 500 | £12/mo | £6,000 |
| Manager Agency | 80 | £199/mo | £15,920 |
| Brand Discovery (entry) | 5 | £299/mo | £1,495 |
| Brand Partner (upgrade) | 7 | £799/mo | £5,593 |
| Brand Enterprise | 3 | £2,500/mo | £7,500 |
| Total — operational breakeven | 595 paying | £36,508/mo |
Modelled target for M18, assuming seed close in Q3 2026, 6-person team, and manager-led creator onboarding at scale. Marketplace revenue excluded — any deal flow is upside on these projections.
| Variable | Assumption | Projected monthly revenue |
|---|---|---|
| Average creator–brand deal value | £500–5,000 | — |
| Facilitation fee | 3–8% of deal value | — |
| Target scale (Year 2–3) | 500 deals/month | — |
| At 5% on average £2,000 deal | £100/deal | £50,000/mo |
| At M36 (2,000 deals at £1,000 avg) | 5% fee | £100,000/mo |
£100K/month in facilitation revenue at M36 is an additional £1.2M ARR on top of subscription revenue — at near-zero incremental cost. The key unlock is becoming the place where deals are initiated, not just where creators are discovered. This requires patience with the sequencing: SaaS first, marketplace when liquidity warrants it.
Paid acquisition for a creator SaaS is expensive and unreliable. Creators talk to other creators constantly — about tools, deals, platforms and opportunities. LEVL turns that existing behaviour into a structured, recurring growth engine. Every subscriber becomes a potential distribution channel, with no cold outreach required on our side.
This is not an affiliate programme. There are no one-time bounties, no link-sharing dashboards and no incentive to recruit people who will not stay. Payments are recurring and stop automatically when a subscription cancels. The structure aligns every referring creator's interest with LEVL's: long-term subscribers, not short-term sign-ups.
| Tier | Rate | At £15/mo subscription |
|---|---|---|
| Tier 1 — direct introduction | 20% | £3.00/mo per creator |
| Tier 2 — introduced by Tier 1 | 5% | £0.75/mo per creator |
| Maximum total referral liability | £3.75/mo = 25% of subscription | |
| LEVL minimum retained (before operating costs) | £11.25/mo = 75% of subscription | |
250 founding creators each introduce LEVL to their network. Each of those 250 introduces 3 more. This produces 1,000 paying creators in total, with the majority acquired at near-zero external spend.
| Line | Creators | Monthly cost |
|---|---|---|
| Tier 1 referrals (250 direct introductions) | 250 | 250 × £3.00 = £750.00 |
| Tier 2 referrals (250 × 3 each) | 750 | 750 × £0.75 = £562.50 |
| Total paying creators | 1,000 | Total referral cost: £1,312.50 |
LEVL builds in one direction: verified reputation data accumulates, trust compounds, and the dataset becomes harder to replicate. All MRR and subscriber figures are projected base-case targets, not commitments.
| Period | Creators | Managers | Brands | Marketplace | Total MRR | ARR Run Rate |
|---|---|---|---|---|---|---|
| PHASE 1 — FOUNDATION · target burn: £24–30K/mo | ||||||
| Q1 (M3) | 1,200 | 1,000 | — | — | 2,200 | 26,400 |
| Q2 (M6) | 3,000 | 3,970 | — | — | 6,970 | 83,640 |
| Q3 (M9) | 4,800 | 5,970 | 800 | — | 11,570 | 138,840 |
| Q4 (M12) — Phase 1 close | 6,000 | 9,950 | 2,495 | — | 18,445 | 221,340 |
| PHASE 2 — GROWTH · target burn: £60–90K/mo | ||||||
| Q5 (M15) | 9,600 | 15,920 | 5,985 | 2,500 | 34,005 | 408,060 |
| Q6 (M18) | 14,400 | 21,890 | 10,475 | 8,000 | 54,765 | 657,180 |
| Q7 (M21) | 22,800 | 29,850 | 17,465 | 18,000 | 88,115 | 1,057,380 |
| Q8 (M24) — Phase 2 close | 32,400 | 37,810 | 24,950 | 30,000 | 125,160 | 1,501,920 |
| PHASE 3 — SCALE · target burn: £110–150K/mo | ||||||
| Q9 (M27) | 54,000 | 57,710 | 44,910 | 52,000 | 208,620 | 2,503,440 |
| Q10 (M30) | 72,000 | 74,625 | 64,870 | 75,000 | 286,495 | 3,437,940 |
| Q11 (M33) | 96,000 | 99,500 | 89,820 | 95,000 | 380,320 | 4,563,840 |
| Q12 (M36) — Plan close | 108,000 | 124,375 | 154,690 | 100,000 | 487,065 | 5,844,780 |
| Period | Creators | Managers | Brands | Total | Marketplace Deals/mo |
|---|---|---|---|---|---|
| PHASE 1 — FOUNDATION | |||||
| Q1 (M3) | 100 | 5 | — | 105 | — |
| Q2 (M6) | 250 | 20 | — | 270 | — |
| Q3 (M9) | 400 | 30 | 2 | 432 | — |
| Q4 (M12) | 500 | 50 | 5 | 555 | — |
| PHASE 2 — GROWTH | |||||
| Q5 (M15) | 800 | 80 | 12 | 892 | 50 |
| Q6 (M18) | 1,200 | 110 | 21 | 1,331 | 160 |
| Q7 (M21) | 1,900 | 150 | 35 | 2,085 | 360 |
| Q8 (M24) | 2,700 | 190 | 50 | 2,940 | 600 |
| PHASE 3 — SCALE | |||||
| Q9 (M27) | 4,500 | 290 | 90 | 4,880 | 1,040 |
| Q10 (M30) | 6,000 | 375 | 130 | 6,505 | 1,500 |
| Q11 (M33) | 8,000 | 500 | 180 | 8,680 | 1,900 |
| Q12 (M36) | 9,000 | 625 | 310 | 9,935 | 2,000 |
Growth projections are not forecasts made in isolation. Each phase's subscriber targets are driven by specific, named acquisition channels. If those channels underperform, the projections adjust accordingly.
This is an indicative hiring plan based on expected capability requirements at each phase. Role descriptions, timing, and seniority will adapt to revenue growth, product priorities, and market conditions. Revenue-generating and product-critical roles are sequenced first. Support functions (finance, operations, legal) are deferred until growth requires them. All salaries are fully-loaded UK market rates.
Two funding events required: Seed to reach product-market fit; Series A to capitalise growth. Phase 3 is revenue-funded. Series B is positioned as an offensive international raise — not a survival move.
| Phase | Avg Monthly Burn | Avg Monthly Revenue | Net Monthly Burn | Peak Headcount | Funding Source |
|---|---|---|---|---|---|
| Phase 1 (M1–M12) | £24,500 | £5,800 | £18,700 | 6 | Seed (~£500K–£1M) |
| Phase 2 (M13–M24) | £85,800 | £56,600 | £29,200 | 14 | Series A (£3.5M) |
| Phase 3 (M25–M36) | £141,700 | £237,500 | −£95,800 | 22 | Revenue-funded |
Base case is what the 36-month plan models. Bear case assumes B2B adoption is slower than projected — creators sign up but the manager and brand side takes longer to close. Bull case assumes a major institutional partnership (agency group, MCN, or platform) drives accelerated adoption.
This plan is built on assumptions. Over the next 12–18 months, the following questions must be answered with evidence — not projections. A founder who cannot name what they still need to prove has not thought hard enough about the risks.
| Assumption | Value assumed | Sensitivity | If wrong |
|---|---|---|---|
| Creator monthly churn | 5.0% | High | Each +1% churn ≈ −£8–12K ARR at scale. Most sensitive variable in the model. |
| Manager monthly churn | 2.5% | High | Low retention is the plan's anchor assumption. If managers churn like creators, the LTV:CAC story collapses. |
| Brand monthly churn | 1.5% | Medium | Annual contracts naturally reduce this. Discovery-tier brands with no ROI proof point are most at risk. |
| Creator CAC at M12 | £22 | Medium | If CAC holds at £30 through Phase 2, payback extends but unit economics remain viable. |
| Manager-led creator supply | 10–30 creators/signup | High | If managers average 5 creators per signup, supply-side acquisition timeline doubles. |
| Marketplace deal avg value | £1,000 | High | If avg deal is £500, marketplace MRR halves. Subscriptions remain primary throughout. |
| Manager ARPU | £199/mo avg | Medium | Blended avg — agencies on Enterprise offset solo managers on Starter. Mix is unvalidated. |
| Brand ARPU | £499/mo avg | Medium | Assumes realistic Partner/Enterprise tier uptake. If all brands stay at Discovery, breakeven requires more subscribers. |
| Series A close (M14–16) | £3.5M at ~£14M pre | High | Seed runway is 18 months — delay is survivable but Phase 2 hiring must be deferred. Valuation is assumed, not negotiated. |
These are the questions a commercially experienced investor will raise in a first or second meeting. The answers below are prepared to be honest and specific, not evasive. Where the answer is uncertain, we say so.