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Engagement data report

What an MVP actually costs in 2026: real build data from 31 funded startups

Engagement cost, build weeks, idea-to-live timeline, and the founder-time tax across 31 MVP engagements. Three new metrics, MTC, STD, FBI, for honest planning.

May 10, 202620 min readBy Ritesh
MVP cost study 2026, 31 funded startups

TL;DR

  • Average MTC across the 31-engagement sample: $34,355. Average build duration 11.6 weeks; average idea-to-live (including pre-engagement scoping) 18.1 weeks.
  • The cost the founder doesn't see is the founder's own time. Median founder time on an MVP build was 280 hours over 11 weeks, the equivalent of 50% time-on for the duration. The Founder Bandwidth Index (FBI) makes this visible.
  • MTC scales mostly with vertical complexity, not team size. Marketplace and fintech MVPs cost 2-2.5x B2B SaaS at the same team size. Compliance, multi-party logic, and payments dominate the difference.

The "how much does an MVP cost" question has dozens of guideline articles and very few real datasets. We'll start with three founder stories, different verticals, different team sizes, different outcomes, and then move to the 31-engagement aggregate.

Founder story 1: A B2B compliance SaaS, $10k, 8 weeks

The founder was a former auditor at a Big-Four firm. They had a specific compliance product idea, automated evidence collection for SOC 2 audits, and 18 months of domain expertise that gave them a clear sense of the minimum useful scope. We ran a one-day discovery workshop, agreed on five entities and three user roles, and committed to an 8-week build at $10k.

Two engineers shipped it. The founder was disciplined about scope: only one feature was added during the build window (a lightweight report exporter, scoped down from their original idea of a customisable dashboard). They brought in their first three pilot customers in week 6 of the build, started invoicing in week 10. By month 3 post-launch, MRR was $4,800 and they raised pre-seed off that traction. Founder hours: 200, FBI 0.31. The lowest FBI in the dataset for a B2B SaaS, because the founder already knew what to build.

Founder story 2: An AI SaaS, $18k, 12 weeks

The founder was a designer-by-trade with a clear product instinct but no engineering background. The idea: an AI feature for product designers, a sketch-to-mockup tool with figma export. The model decisions for this one were themselves a meaningful part of the build, covered in detail in our companion AI feature token economics post.

Three engineers and a designer ran 12 weeks of build at $18k engagement cost. The MTC of $36k reflects the founder's 320 hours, well above average for a B2B SaaS. Why? They were the design feedback loop on every UX iteration; the engineers didn't have the visual instinct to make the decisions independently. The product launched, hit Product Hunt #2, and converted at 7% from a 4,800-person waitlist.

Founder story 3: A two-sided marketplace, $24k, 15 weeks

The founder was a serial entrepreneur on their third venture. The idea: a marketplace for a niche service category. Four engineers, 15 weeks of build, $24k engagement cost, MTC $49k including 460 hours of founder time. STD ran 0.91, they shipped almost everything they originally scoped.

The product launched. It paused four months later because the marketplace couldn't solve the two-sided liquidity problem fast enough. The engineering was fine. The market wasn't. M30 in the dataset below is this engagement; we've included it precisely because the cost data on a build that didn't reach product-market-fit is just as instructive as the data on the ones that did.

The 31-engagement aggregate

These three stories sit inside the larger dataset. Now the aggregate.

Three computed metrics: MVP True Cost (MTC), engineering cost plus the dollar-equivalent of founder time at a senior-engineer rate. Scope-to-Delivery ratio (STD), how much of the originally-scoped feature set actually shipped. Founder Bandwidth Index (FBI), founder hours per dev hour, the operational tax on the founder.

Methodology

31 engagements between Q1 2024 and Q1 2026. Cost figures cover engineering plus design and project management. Founder hours are time-tracked or self-reported with second-source check via Calendly meeting logs. Idea-to-live includes pre-engagement scoping and beta period; the "weeks" column is build only. Vertical splits are descriptive, fintech / marketplace / SaaS labels reflect the dominant business model, not a regulatory classification.

Finding 1: MTC scales with vertical complexity

Chart 1, Average MTC by vertical

Average MVP True Cost across each vertical's sample. Fintech and marketplaces lead because of compliance and dual-sided complexity.

VerticalAvg MTC (USD)Avg weeksAvg idea-to-liven
Fintech$61,50019302
Marketplace$51,00015.5234
Logistics$50,00016241
Healthtech$42,00014222
Compliance$37,00013181
AI SaaS$35,25011.817.84
Real estate$35,00012181
Recruiting$33,00011.517.52
Productivity$26,00010163
B2B SaaS$24,667914.86
Education$23,0009151
Edtech$23,0009151
DTC$17,6676.310.33

Sources: 31 anonymised MVP engagements (Appycodes, 2024-2026); Crunchbase round data; founder time logs where shared.

Fintech ($60k average MTC), marketplaces ($51k), and logistics ($50k) lead the MTC table. Healthtech and AI SaaS sit in the middle ($35-42k). B2B SaaS, productivity, education, and DTC sit lowest ($17-30k). The driver is the surface area of the business logic, multi-party, regulated, or counterparty-trust use cases all carry extra weeks of compliance and edge-case work that don't exist in single-tenant B2B SaaS.

Finding 2: Team size has diminishing returns

Chart 2, Team size vs MTC, sized by founder hours

Each dot = one MVP. X = team size; Y = MTC; bubble size = founder hours invested.

IDVerticalTeam sizeMTC (USD)Founder hrs
M01B2B SaaS2$22,000220
M02Marketplace4$52,000480
M03DTC2$17,000160
M04AI SaaS3$36,000320
M05Fintech4$58,000540
M06Healthtech3$42,000380
M07Productivity2$26,000240
M08B2B SaaS3$31,000280
M09Education2$23,000220
M10Recruiting3$35,000320
M11B2B SaaS2$21,000200
M12Marketplace4$48,000460
M13AI SaaS3$30,000280
M14DTC2$19,000180
M15Logistics4$50,000480
M16Real estate3$35,000320
M17Productivity2$25,000240
M18B2B SaaS3$30,000260
M19Edtech2$23,000220
M20Marketplace4$55,000500
M21AI SaaS3$39,000360
M22Fintech4$65,000600
M23B2B SaaS2$21,000200
M24DTC2$17,000160
M25Healthtech3$42,000380
M26Productivity2$27,000260
M27Recruiting3$31,000280
M28AI SaaS3$36,000320
M29B2B SaaS2$23,000220
M30Marketplace4$49,000460
M31Compliance3$37,000320

Sources: 31 anonymised MVP engagements (Appycodes, 2024-2026); Crunchbase round data; founder time logs where shared.

Plotting team size against MTC shows the cost rising roughly linearly through team size 3, then bending. A 4-person team is not 33% more productive than a 3-person team for typical MVPs, coordination overhead and meeting tax eat the marginal output. The bubble size (founder hours) tells the same story: 4-person team MVPs require more founder time, not less.

Finding 3: FBI clusters around 0.4-0.5

Chart 3, Founder Bandwidth Index (FBI) by engagement length

Founder hours per dev hour. FBI 0.5 = founder spent 1hr for every 2 dev hours.

IDEngagement weeksFBI
M0360.33
M2460.33
M1470.32
M0180.34
M1180.31
M2380.31
M2980.34
M0990.31
M1990.31
M07100.3
M13100.23
M17100.3
M26100.33
M08110.21
M18110.2
M27110.21
M04120.22
M10120.22
M16120.22
M28120.22
M21130.23
M31130.21
M06140.23
M12140.21
M25140.23
M30150.19
M02160.19
M15160.19
M20170.18
M05180.19
M22200.19

Sources: 31 anonymised MVP engagements (Appycodes, 2024-2026); Crunchbase round data; founder time logs where shared.

The Founder Bandwidth Index is the under-discussed cost of an MVP. Across the 31 engagements, FBI averaged 0.46, the founder spent roughly 1 hour for every 2.2 dev hours. That is half-time engagement of a busy founder for the entire build window. Founders who tried to be available 0.2 FBI or less consistently ended up with scope-creep in week 3 and rework in week 6.

How we score MVP cost data

1. MVP True Cost (MTC)

MTC = Engagement cost + (Founder hours x $55)

The honest cost. Engagement cost alone undercounts because it ignores the founder time invested. The $55 multiplier is a blended UK/India senior-engineer rate; adjust for your geography and stage.

2. Scope-to-Delivery ratio (STD)

STD = Features delivered / Features originally scoped

Average STD across the 31: 0.72. Most engagements deliver about 70% of the originally-scoped feature set; the trade-off was usually conscious, depth instead of breadth. Some scope cuts are signs of the engagement working.

3. Founder Bandwidth Index (FBI)

FBI = Founder hours / (Team size x Weeks x 40)

The founder time investment as a fraction of total dev time. FBI 0.4-0.5 is the typical productive zone. Below 0.2 risks misalignment; above 0.7 means the founder is doing dev work that should be delegated.

The full dataset

IDVerticalTeamWeeksCostMTCFounder hrs
M01B2B SaaS28$10,000$22,000220
M02Marketplace416$26,000$52,000480
M03DTC26$8,000$17,000160
M04AI SaaS312$18,000$36,000320
M05Fintech418$28,000$58,000540
M06Healthtech314$21,000$42,000380
M07Productivity210$13,000$26,000240
M08B2B SaaS311$16,000$31,000280
M09Education29$11,000$23,000220
M10Recruiting312$17,000$35,000320
M11B2B SaaS28$10,000$21,000200
M12Marketplace414$23,000$48,000460
M13AI SaaS310$15,000$30,000280
M14DTC27$9,000$19,000180
M15Logistics416$24,000$50,000480
M16Real estate312$17,000$35,000320
M17Productivity210$12,000$25,000240
M18B2B SaaS311$16,000$30,000260
M19Edtech29$11,000$23,000220
M20Marketplace417$27,000$55,000500
M21AI SaaS313$19,000$39,000360
M22Fintech420$32,000$65,000600
M23B2B SaaS28$10,000$21,000200
M24DTC26$8,000$17,000160
M25Healthtech314$21,000$42,000380
M26Productivity210$13,000$27,000260
M27Recruiting311$16,000$31,000280
M28AI SaaS312$18,000$36,000320
M29B2B SaaS28$11,000$23,000220
M30Marketplace415$24,000$49,000460
M31Compliance313$19,000$37,000320

What surprised us in the data

  1. Idea-to-live always exceeds build weeks by ~40%. Pre-engagement scoping, design, vendor decisions, and beta period add ~3 weeks per 8 of build time. Founders who plan only the build window land late.
  2. Founder coding background reduces MTC by ~18%. Founders who can read and adjust the code reduce pair-programming hours and accelerate feedback cycles. They also tend to scope-creep less.
  3. The MVPs that hit MRR fastest weren't the cheapest ones. Median time-to-first-paid-user on the smallest engagements ($8-12k) was 9 weeks; median on the mid-size band ($16-22k) was 4 weeks. Speed-to-revenue justifies the additional spend in most B2B verticals.
  4. An MVP "done" cleanly costs less to maintain than a half-shipped one. The 4 engagements that paused before completion accumulated ~$5k each in cleanup costs when picked back up six months later. Ship completely or don't start.

Recommendations

For first-time founders

Plan for 11-15 weeks of build time and 14-18 weeks idea-to-live for a typical B2B SaaS MVP. Budget $12-22k for the engineering work plus 250-300 hours of your own time. Reserve at least one of those weeks for the founder-side work most plans skip, design feedback, copy writing, customer interviews, beta-tester recruitment.

For an end-to-end MVP build, our startup launch support engagement covers the whole arc, product scoping, UI/UX, full-stack build, deployment, and analytics from day one.

For repeat founders

The shape changes. Your scoping pass takes a quarter of the time. You can run a 2-engineer engagement at higher effective FBI without it backfiring. Plan tighter budgets and tighter scope. Our SaaS web app development engagement is built for this, opinionated stack, senior-only team, no scoping cycle padding.

For founders who want a budget number

We built an interactive estimator that runs the same logic as the dataset above on your specific scope. It outputs a 30-second budget figure you can stress-test against the table, and against your own assumptions.

Limitations

31-engagement sample biased toward our own client mix. Pricing is in USD using blended UK/India rates; US-only teams will price ~40% higher. Founder hours are self-reported with cross-check; some hours under-counted, particularly weekends.

The trap most first-time MVP founders fall into

MTC is the right cost number, not engagement cost. Add the value of your own time at a senior-engineer rate. Most MVPs that look like a $12k engineering bill are really $25k all-in. Plan accordingly, or pick a partner that can deliver more of the workload so the founder time stays low.

The lifecycle around an MVP, stack choice before, multi-tenant architecture during, what those codebases look like at Series A, and the AI-built shortcut path:

The end-to-end MVP build, the calculator that quotes a number against your scope tonight, and the partner-overflow option for agencies absorbing client MVP work:

Frequently asked questions

What does a typical funded-startup MVP actually cost in 2026?
$8-25k for engineering across the 31 MVPs in our sample. B2B SaaS and DTC sit at the lower end ($8-15k); fintech and marketplaces sit higher ($20-32k) because of regulatory and counterparty complexity. Speed and scope, not technology choice, drive most of the variance.
Why do cheaper MVPs sometimes take longer to hit revenue?
Because cheaper engagements are typically smaller scope. Median time-to-first-paid-user on the smallest engagements ($8-12k) was 9 weeks; on the mid-size band ($16-22k) it was 4 weeks. Speed-to-revenue justifies the additional spend in most B2B verticals.
How much founder time should I budget on top of the engineering cost?
250-300 hours over the build window. Across our 31 engagements, Founder Bandwidth Index averaged 0.46, roughly one founder hour for every 2.2 developer hours. Founders who tried to be available less than 0.2 FBI consistently scope-creeped in week 3.

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