10 Minute Read.
Author’s note
Once or twice a year, an economic development entity I am connected to asks me whether they should fund an accelerator, accept a pitch from a national network, or build something themselves. The answer is rarely the one the loudest voice in the room is selling. This is the field guide I wish I could hand them at the beginning of that conversation instead of explaining it from scratch each time.
The vantage for what follows: I ran the Catalyst and Innovention Accelerators at NYU Tandon Future Labs for four years, and Steve Kuyan, now my venture partner at Mighty Middle Ventures, ran them for eleven before me. We supported 300+ teams who went on to raise $2.7B and produce 44 exits (a 15% outcome rate). That work was funded in part by city and state grants from NYC EDC and NY ESD who consistently required us to report outcome metrics as a requirement of our grant(s). I also spent years as a founder in Louisville, where a local government entity lit $250K on fire for a strategic study whose conclusion was that they should hire the study’s author to run their accelerator. Both vantages inform what follows.
My goal with this field guide is to put the measured data on regional accelerator outcomes next to a working case study (Cintrifuse in Cincinnati and Renaissance Venture Capital in Michigan), so that an EDC operator weighing a real proposal can model the expected lift against their specific ecosystem rather than against the marketing deck’s national average.
This piece was built with support from Claude Cowork with a custom skill stack. My use of generative AI is loud and proud. The thesis and the judgment calls are mine.
Contents
What the literature says.
The regional bump, the comet distribution, and leverage as the success metric.
Distinguishing Startup Activity from Startup Progress
What is it that startups (and accelerators) actually do?
The Renaissance VC and Cintrifuse model.
Understand the fund-of-funds plus LP-to-VC channel mechanism that actually works.
Anti-patterns: the global accelerator network pitch.
Spot the franchise-licensing pitch and walk.
Empathy demands that we reject mediocre accelerators.
Brad Feld’s framework, the founder-runway argument, and the community failure of protecting mediocre programs.
Three pieces of advice for the operator weighing a proposal.
Model the lift, commission an independent study, study what is already working.
The decision rule: build, license, or walk.
Tie it all together before signing the bill.
1. What the literature says
The strongest empirical finding for an EDC operator: when an accelerator opens in a metro area, seed and early-stage venture deal volume rises across the region, including for companies that never enrolled [1]. The effect is metro-level, not just treatment-on-the-treated; accelerators spawn local investor groups, attract outside investors, and produce peer effects beyond the cohort. That spillover is the public-investment case. The lift is conditional on existing capital base, though: a 2026 meta-analysis finds smaller effects in developed economies than in capital-poor markets [2]. A quality accelerator in a region with no existing seed activity produces more uplift than the fifth one in a metro with thirty active angels.
The lift is also conditional on program quality. Hallen, Cohen, and Bingham used an accepted-versus-almost-accepted design at a set of top US programs and found heterogeneous effects: top-tier programs produced large gains, second-tier programs delivered beneficial learning without the sorting and signaling premium, and one of the studied programs actively inhibited venture development [3].
If even a verified strong-end program can run net-negative, an unverified program in your region is more likely to drain regional value than create it. A bad accelerator does not produce a smaller version of the regional bump; it produces inhibition for the founders it touches, misallocation of public capital, and a credibility hit subsequent regional programs must overcome. Site selection is the question, and the verification standard for a public investment should be at least as high as a sophisticated founder’s standard for giving up equity.
Startups at the idea stage are fragile, not yet resilient. The founder is running on a finite reservoir of personal runway — savings, spousal tolerance, the patience of friends-and-family backers, the months a day-job exit will sustain. A bad accelerator burns that runway against milestones that do not move the venture forward. When the year ends and there is nothing to show for it, the founder’s loss is also the community’s: a venture that might have worked, did not, because the program took the wrong months.
2. Distinguishing Startup Activity from Startup Progress
A startup has two functions
To ship product to customers
To transact with customers on the basis of that product
(bonus) Not die while executing iterative loops of (1) and (2)
That’s it.
Every single thing that a founder or accelerator does needs to be viewed critically through the lens of whether they advance (1) or (2).
Startup and Accelerator activities like fundraising, pitch days, workshops, networking events, happy hours, demo days, etc. all either support or detract from those primary objectives.
Those objectives also need to be what instruments and distinguishes a successful accelerator from one that is likely wasting founders’ time.
The goal here is attributable outcomes from the most recent cohort.
What percentage of alumni founders can point to discrete customers, product elements, or closed investments that are attributable to their accelerator activities?
If you come across an accelerator operator that either doesn’t currently measure these for their cohorts and/or is unwilling to do so in the future, you should move on and find someone who is.
On a metro investment level, the correct metric to instrument a regional accelerator against is fund-of-funds leverage: the ratio of follow-on venture capital flowing into local startups per dollar of regional capital committed. Not the count of new companies formed. No one benefits when a bunch of new companies get formed and then die on the vine for lack of follow-on capital. Section 3 develops the metric.
3. The Renaissance VC and Cintrifuse model
The strongest example is Cintrifuse in Cincinnati. Cintrifuse launched in 2012 from a McKinsey strategic study commissioned by the Cincinnati Business Committee Regional Innovation Task Force [4]. The fund-of-funds architecture was adapted from Michigan’s Renaissance Venture Capital, which was founded in 2008 under the Business Leaders for Michigan umbrella [5]. The McKinsey study’s final recommendation states the mechanism explicitly: form a regional fund of funds that invests in national VC funds, then use the resulting LP relationship to channel investor attention back to local startups.
The mechanism is worth unpacking step by step:
The region’s pillar companies (in Cincinnati’s case: P&G, Kroger, Cincinnati Children’s Hospital, GE Aviation, Western & Southern, Fifth Third Bank, and others) invest into a regional fund-of-funds vehicle (Cintrifuse Capital).
That regional fund-of-funds becomes an LP in top-tier national venture capital funds.
The thesis is structural: a national VC will always take a call from one of its LPs asking for an investor introduction for a local company. The LP relationship purchases warm-intro rights that local startups cannot buy on their own.
A smaller slice of the fund’s capital runs the local programs: in Cintrifuse’s case, a direct-investment vehicle, the Venture Velocity Program, the Emerging Founder Residency, and the StartupCincy community coalition.
Three properties follow from this design:
The pillar companies are investors expecting returns, not philanthropists writing off the cost. The fund-of-funds invests in market-rate venture funds. The corporate LPs receive normal venture returns on their commitment, which makes the participation sustainable across CEO transitions and budget cycles.
The program is calibrated to the parameters of the local ecosystem, not benchmarked against a national average. Cincinnati’s pillars are consumer goods, research hospitals, aviation, and retail. The program’s pillar relationships, mentor bench, and corporate-partner pipeline reflect that, not a Silicon Valley template.
Local startups get a structural fundraising advantage. The LP-to-VC channel converts pillar-corporate capital into warm intros that local startups cannot generate on their own. This is the mechanism that should drive your regional ROI expectations, not the cohort programming.
The lifetime outcomes data on both programs is consistent with the model. Cintrifuse and Renaissance calculate the leverage ratio on slightly different bases. Cintrifuse measures on recent direct-investment dollars into specific local startups; Renaissance measures on cumulative fund-of-funds commitments across its full Michigan portfolio chain. The conceptual measure is the same: how much outside venture capital does each regional dollar attract.
Caveats: Cincinnati’s ecosystem growth cannot be cleanly attributed to Cintrifuse alone; other regional actors contributed. The 12x leverage ratio reflects recent direct-investment activity and may not generalize. Neither Cintrifuse nor Renaissance publishes a complete enumeration of follow-on capital raised by portfolio companies. Use these numbers as directionally indicative, not as forecasts.
The leverage figures measure the bottom of Cintrifuse’s funnel: dollars deployed directly into local startups and the follow-on capital those companies attracted. The broader work that feeds the funnel does not appear in the ratio and is just as valuable. Cintrifuse runs coaching and mentorship programs, operates the Union Hall coworking space, and anchors the StartupCincy community coalition, all of which touch hundreds of startups and founders each year.
Leverage is the bottom-of-funnel financial output; programming reach is the top of the funnel that sustains it. An EDC operator should expect both: a credible leverage target and a credible plan for the programming work that feeds it.
For comparison. Three national benchmarks help the reader decide whether these numbers represent meaningful performance:
State fund-of-funds leverage. Published leverage ratios for comparable US state-backed FoFs (Ohio Third Frontier, Illinois Growth and Innovation Fund, Indiana Next Level Fund, Texas Emerging Technology Fund, and similar) vary widely by program and methodology, but commonly fall in the 3–10x range over full fund life [10]. Renaissance’s reported $13:$1 cumulative leverage and Cintrifuse’s $12:$1 leverage on recent direct-investment dollars both sit at the upper end of the published range for state-backed regional FoF peers.
Seed-funded startup outcomes. The CB Insights Venture Capital Funnel reports that ~48% of US seed-funded startups raise at least one follow-on institutional round, ~30% achieve any exit (M&A or IPO), and ~67% stall without follow-on or exit over the full funnel horizon [11]. Direct comparison to Cintrifuse and Renaissance portfolios is imperfect because both programs report on “pipeline” and “fund chain” rather than clean treated-cohort outcomes, but the funnel rates set the yardstick for what a typical seed-funded company experiences nationally.
Cincinnati and Michigan are both regions where the national seed funnel applies under conditions of structural capital scarcity. The Renaissance and Cintrifuse models do not erase the funnel; they widen the top of it for their regions.
3. Anti-patterns: the global accelerator network pitch
The most common bad proposal is the global accelerator network. The pattern is consistent across cities. A national branded network sends a business development team to a regional EDC or municipal innovation office. They propose a strategic study, often funded by the entity, whose conclusion will recommend that the entity build an accelerator under the network’s brand and pay them annually to run it. The licensing royalty is typically seven figures per year on top of whatever the study cost.
When I was a founder living in Louisville, one of the local government entities paid $250K to a “global accelerator network” for exactly that whitepaper. The study’s conclusion was, predictably, that the entity should build an accelerator under that network’s brand and pay them seven figures annually to run it. The $250K was a waste. Reasonable voices eventually prevailed on the larger decision: the recommended accelerator was not built. The dollars that ended up supporting the region’s actual entrepreneur infrastructure came from different sources and went to a home-grown network of solutions that has been doing well since.
At NYU, I saw the same pattern from the supply side. A steady stream of consultants knocked on our door asking to stamp “NYU Future Labs” branding on the acceleration programs they were pitching to municipalities all over the world in exchange for a licensing royalty. We declined 100% of these external pitches.
The structural feature of these pitches is that the entity doing the strategic diagnosis is the same entity proposing to run the resulting program. There is no version of this where the diagnosis is honest. The work is structurally compromised before it begins. What gets built is innovation theater dressed as economic development.
4. Empathy demands that we reject mediocre accelerators
Brad Feld’s Startup Communities lays the cornerstone for how regional ecosystems work: entrepreneurs lead, feeders (universities, government, investors, service providers) support, and the community’s long-term health depends on resisting feeder-led programs that misallocate founder time and credibility [12]. Feld’s “give first” ethos functions as a normative filter; actors who extract more than they contribute should not become central or leading figures in the ecosystem. Even if Feld does not say it in those words, bad-actor accelerators need to be identified and marked accordingly. A community that protects its mediocre programs out of misplaced civility is failing its founders.
Back to the founder-runway point above. Personal runway is finite. Spousal tolerance is finite. The patience of friends-and-family backers is finite. A mediocre accelerator that absorbs three to four months of that finite resource does damage that does not show up in the program’s own metrics: the founder still finished demo day, still got the certificate, still appears in the alumni count. What is missing from the alumni count is the venture that might have raised, sold, or pivoted in those same months.
I learned this myself. As a young founder I was considering a nationally known healthtech accelerator network, since thankfully shuttered. Before applying, I called alums. About nine in ten told me their time there had been a complete waste, and I did not apply. The information was already in the community; it was just sitting in the peer network rather than in the marketing copy. The community knew. The community had no way to say so to the next founder.
The kinder posture is the harder one. Empathy for founders requires the community to tell them when a program is mediocre, even when the program is run by people you know. The alternative — letting friends-of-friends absorb founder runway in the name of being supportive — is a failure of empathy dressed as collegiality.
5. Three pieces of advice for the operator weighing a proposal
1. Model the lift against your specific baseline, not a national average. The economic lift of a local accelerator is similar to the therapeutic effect of exercise: the result depends on both the intervention and the baseline.
A quality accelerator that is the first or second in a region will have more impact than one that is the fifth.
A program in a region with healthy capital throughput will lift less than one in a region with none.
Before you sign the bill, model the expected lift against your specific baseline, not against the marketing deck’s national averages.
2. Commission an independent local study before deciding to spend. Research outcomes at comparable locations. COI hygiene dictates that the entity doing the study cannot be the one running the eventual accelerator. The “global accelerator network” pitching you a whitepaper whose conclusion is that you should hire them is not running an honest process. The McKinsey study that produced Cintrifuse is the counterexample worth modeling: McKinsey produced the diagnostic and stepped away. They did not pitch themselves to run the resulting program. That separation is the operative test for any consultancy you bring in.
3. Study what is already working. The Renaissance VC and Cintrifuse model is the cleanest available template for a region-scale accelerator platform. The key design choice is the LP-to-VC channel: pillar companies invest into a regional fund-of-funds that becomes an LP in national VC funds, and that LP relationship converts into warm-intro rights for local startups.
The programming layer (cohort accelerator, community coalition, founder residency) is built around the fund-of-funds, not the other way around. Most failed regional accelerators have the order inverted: they build programming first, then attempt to bolt on a capital strategy. The Renaissance and Cintrifuse track records suggest the capital architecture should come first.
Read the original McKinsey study that produced Cintrifuse [4]. The full strategic logic is in that document: a seven-recommendation framework, an inventory of Cincinnati’s specific ecosystem assets, the dollar-and-timeline math behind the fund-of-funds case, and the explicit cross-reference to Michigan’s Renaissance model. It is the cleanest single document on how a region can think through the question you are weighing, and it is short enough to read in an afternoon.
6. The decision rule: build, license, or walk
The closing decision rule. Fund an accelerator when the regional capital base is undercapitalized enough for the spillover effect to clear your bar, when the operator would pass arms-length diligence on their own merits, when the structure puts a fund-of-funds with pillar-company capital ahead of the programming layer, when the program commits to leverage as its primary success metric, and when the consultancy doing your strategic diagnosis has no stake in running the resulting program.
Walk from any proposal where one entity pitches both the diagnostic and the operating role, where the licensing royalty exceeds what the brand brings to your specific region, where success is measured in new-venture count rather than leverage, or where the projected lift is benchmarked against a national average rather than your baseline.
The regional bump is a public good when the program is real and a liability when it is not.
References
[1] Fehder, D. C., & Hochberg, Y. V. (2014). Accelerators and the regional supply of venture capital investment. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2518668. Synthesized in Hochberg, Y. V. (2016). Accelerating entrepreneurs and ecosystems: The seed accelerator model. Innovation Policy and the Economy, 16, 25–51. https://doi.org/10.1086/684985
[2] Seitz, N., Buratti, M., Lehmann, E. E., & Kurrle, J. (2026). A meta-analysis towards the effectiveness of startup accelerators. Journal of Technology Transfer, 51(1), 373–413. https://doi.org/10.1007/s10961-025-10218-6
[3] Hallen, B. L., Cohen, S. L., & Bingham, C. B. (2020). Do accelerators work? If so, how? Organization Science, 31(2), 378–414. https://doi.org/10.1287/orsc.2019.1304
[4] McKinsey & Company (c. 2011). Accelerating the development of an innovation economy in Cincinnati. Strategic report prepared for the Cincinnati Business Committee Regional Innovation Task Force. https://cintrifuse.com/wp-content/uploads/2022/03/McKinsey-Report.pdf
[5] Renaissance Venture Capital Fund (founded 2008). Business Leaders for Michigan. Current portfolio (per Renaissance’s own Impact page, accessed 2026): 60+ venture capital funds and 800+ active portfolio companies. https://renvcf.com/impact/ and https://renvcf.com/about/.
[6] Cintrifuse. (2024). Powering our innovation economy: 2022–2023 Impact Report. Cintrifuse Fund Management LLC reported $175M regulatory AUM across three funds as of 2023. https://cintrifuse.com/wp-content/uploads/2024/01/Cintrifuse_ImpactReport2023.pdf
[7] Cincinnati Business Courier / Inno (2025). Reporting on Cintrifuse Capital’s direct-investment activity through late 2024: $6.1M deployed into 17 local Cincinnati companies attracting $72M in outside capital; Greater Cincinnati venture-style funding tracked by Cincy Inno’s startup funding database grew from $114M (2023) to $250M (2024), a 117% YoY increase. (Broader Cincinnati startup funding including angel and growth-stage rounds was reported separately at ~$260M for 2023 in a June 2024 Courier piece, reflecting different methodologies.) https://www.bizjournals.com/cincinnati/inno/stories/news/2025/01/09/cintrifuse-capital-venture-dollars-startups-funds.html
[8] Cintrifuse (2019). First impact report. Reported nearly $100M committed into venture capital funds, 700+ startups in pipeline with ~1/3 attracting seed-or-later capital, and Cincinnati regional risk capital growth from $25M (2011) to $176M (2018). https://cintrifuse.com/cintrifuse-releases-first-ever-impact-report/
[9] Renaissance Venture Capital (2021). Renaissance closes $77.5M Fourth Fund. PR Newswire press release reporting cumulative $280M+ raised across four funds since 2008, with $2B+ in capital attracted to Michigan startups (approximately $13:$1 leverage). https://www.prnewswire.com/news-releases/renaissance-venture-capital-closes-77-5m-fourth-fund-301337309.html. See also Silicon Prairie News (2018), https://siliconprairienews.com/2018/05/renaissance-venture-fund-closes-fund-iii-with-81m-of-new-capital/.
[10] State fund-of-funds leverage range synthesized from program-level evaluations and reports of Ohio Third Frontier, Illinois Growth and Innovation Fund, Indiana Next Level Fund, Texas Emerging Technology Fund, and similar programs. Published leverage ratios vary widely by program and methodology; commonly cited figures fall in the 3–10x range over full fund life. No single consolidated national report exists; figures reflect the range that recurs across individual state program audits and legislative reports.
[11] CB Insights. The Venture Capital Funnel. ~48% of seed-funded US startups raise at least one follow-on institutional round; ~30% achieve any exit (M&A or IPO); ~67% stall without follow-on or exit over the full funnel horizon. https://www.cbinsights.com/research/venture-capital-funnel-2/. See also Carta cohort analysis (~30–35% of seed-funded startups fail within seven years; ~15% reach Series B within seven years), summarized at https://www.saastr.com/carta-of-seed-funded-start-ups-fail-and-1-3-become-unicorns/.
[12] Feld, B. (2012). Startup Communities: Building an Entrepreneurial Ecosystem in Your City. Wiley. The “Boulder Thesis” distinguishes entrepreneurs (who must lead the community) from “feeders” (universities, government, investors, service providers — who support but should not lead). The “give first” ethos functions as a normative filter on community participants; actors who extract more than they contribute should not become central or leading figures. The “warning label” extension is mine; the underlying framework is Feld’s. See Startup Communities chapters 1, 2, and 6, and Feld’s blog at https://feld.com/categories/startup-communities/.