Short answer: yes for a specific kind of startup, not for every company. In 2024, the San Francisco Bay Area again offered the strongest U.S. combination of AI talent, venture access, startup employees, customers and founder networks. That does not prove that moving causes success, and it says little about affordability, quality of life or industries whose customers are elsewhere. The financially sound choice is to match the location to your company’s bottleneck, test the benefit, and move only when the measurable upside exceeds the cost.
This is an analysis of the ecosystem described in a TechCrunch article published August 25, 2024. It should not be read as a ranking of startup cities in August 2026.
What “better” means for a startup
Location can improve different parts of a business, and San Francisco’s advantage was not identical across them.
- Fundraising: nearby investors and repeat introductions can make meetings easier and more frequent, although proximity never guarantees an investment.
- Hiring: the Bay Area has an unusually deep pool of engineers and operators who have worked in venture-backed companies, particularly in AI.
- Sales and partnerships: proximity is most valuable when customers, cloud companies, model providers and infrastructure partners are concentrated in the region.
- Learning and company formation: dense founder communities, alumni groups and recurring events create more opportunities for informal advice and referrals.
- Personal finances and lifestyle: the ecosystem thesis does not establish that San Francisco is cheaper, safer, easier for families or better for work-life balance.
The relevant question is therefore not “Is San Francisco the best city?” It is “Which location gives this company the highest return on its limited cash, time and attention?”
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What the 2024 data actually showed
SignalFire’s Beacon platform, as reported by TechCrunch, showed a striking concentration of relevant talent and companies in the Bay Area. These are dataset-specific categories, not percentages of every U.S. worker or startup.
| Category in SignalFire’s dataset | Bay Area share | How to interpret it |
|---|---|---|
| Big Tech engineers | 49% | Nearly half of the engineers in this defined group were in the Bay Area. |
| Startup engineers | 27% | A large concentration, but not the share of all software engineers. |
| Major VC-backed founders | 12% | A defined, highly funded founder category—not all founders. |
| Startup employees | 52% | More than half of employees in the dataset were in the Bay Area. |
| Technical-talent concentration versus Seattle | More than four times | Applies to SignalFire’s measure and geographic definitions. |
The article also reported that the Bay Area’s share of technical talent had increased since 2022. The complete time series, geographic boundaries and weighting were not included, so the figures should be attributed to SignalFire’s Beacon data rather than presented as independently verified national statistics. See the original report for the attribution.
Why AI pulled activity back toward the Bay Area
The pandemic-era remote-work shift dispersed founders and employees to New York, Austin, Miami, Europe and lower-cost locations. By 2024, the AI boom had created a powerful reason for specialized people and companies to be in the same region again: model providers, cloud platforms, infrastructure startups, investors, customers and potential hires were interacting constantly.
Rank #2
That reconcentration is not the same as a return to the old office requirement. A founder can be in San Francisco while engineers remain distributed, and a company can use coworking or periodic visits instead of leasing a large headquarters. The evidence supports physical presence in a network; it does not prove that every employee needs to relocate.
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Unify: founder presence without moving the team
Daniel Lenton, a London-born founder based in Berlin, started Unify, a Y Combinator Winter 2023 company building a neural router to send each prompt to an appropriate large language model. TechCrunch reported that Unify had raised $8 million from investors including SignalFire, Microsoft’s M12 and A.Capital Ventures.
Lenton said he could speak with major venture firms from Berlin, so basic fundraising access was not the deciding factor. Time in San Francisco produced more meetings with prospective customers, partners, collaborators and other AI startups. He moved himself and made San Francisco the official headquarters while the eight-person team continued living in different cities. The example suggests that a founder or business-development base can capture much of the network benefit without imposing a company-wide move.
Rank #3
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Lago: a non-model company near AI customers
Anh-Tho Chuong was moving Lago’s headquarters from Paris to San Francisco. Lago, a Y Combinator Summer 2021 company, provides open-source, usage-based billing infrastructure and serves AI companies among its customers. The company had originally considered New York for travel and time-zone reasons, but Chuong found San Francisco’s talent and customer pools stronger for Lago. TechCrunch reported $22 million in funding from investors including SignalFire and FirstMark.
Chuong also described repeatedly meeting Y Combinator founders and finding a support network in SoMa. Lago’s case matters because the company was not building a foundation model: an infrastructure supplier can benefit by being near the AI and cloud startups that buy its product.
How “manufactured luck” works—and where it stops
Y Combinator partner Diana Hu and founders in the article used the idea of “manufacturing luck” to describe dense, repeated contact. A scheduled video call can deliver a planned introduction. Physical proximity can add the second and third encounters that turn an introduction into a pilot, hire, partnership or investment conversation.
Rank #4
- Unplanned introductions at founder and investor events.
- Repeated encounters with the same operators, making trust easier to build.
- Whiteboard sessions and rapid collaboration that are difficult to schedule remotely.
- Employee and founder referrals through weak ties.
- Immediate awareness of new companies, tools and customer needs.
This is a network-effect hypothesis supported by founder accounts, not a causal law. Being nearby creates opportunities; it does not convert them automatically. Track qualified introductions, customer pilots, hires, investor follow-ups and decision speed—not the raw number of coffees.
Which startups have the strongest case?
| Startup profile | San Francisco/Bay Area fit | Reason |
|---|---|---|
| Foundation-model companies | Strongest case | Specialized talent, capital and infrastructure are unusually concentrated. |
| AI infrastructure, developer tools, evaluation, observability or security | Strong case | Potential customers, partners and hires cluster around AI builders. |
| Cloud, data and enterprise software selling to Bay Area startups | Often advantageous | Local customer density can shorten discovery and sales cycles. |
| General B2B software | Case by case | Benefits depend on target customers, investors and hiring needs. |
| Consumer startups | Market-dependent | User demographics and distribution may matter more than Bay Area contacts. |
| Healthcare or biotech | Often another region | Hospitals, laboratories, universities and regulators may determine the best base. |
| Industrial or logistics companies | Usually another region | Facilities, suppliers and physical customers dominate the location decision. |
| Bootstrapped remote software | Move only for a defined bottleneck | Higher local costs can reduce runway without solving product-market fit. |
The costs the comeback story leaves out
The source material does not provide a comparable analysis of rent, office space, compensation premiums, taxes, relocation, commuting, immigration or employee retention. Those costs can materially change the investment case. A move that adds valuable meetings but cuts runway by months may be a poor financial trade.
There is also a difference between San Francisco proper and the broader Bay Area, including the Peninsula, Silicon Valley and San Jose, Oakland and the East Bay. Access to the ecosystem does not require a downtown office. Options include a coworking membership, an accelerator space, a short founder residency, monthly team gatherings or a founder-only base.
Keeping a distributed team introduces its own costs: time-zone friction, travel, unequal access to informal decisions, cultural strain and employment-law or tax obligations in multiple jurisdictions. Global employment providers such as Deel may help administer a distributed workforce, but they do not remove local compliance duties or make relocation free.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A financially disciplined relocation test
Before signing a lease or moving a whole team, test whether proximity solves a measurable problem.
- Name the bottleneck. Decide whether you need capital, specialized talent, customers, partnerships or founder support. “The ecosystem” is too vague to budget against.
- Set a four- to eight-week trial. Work from the Bay Area using short-term space rather than committing to a permanent office.
- Pre-book some meetings, but not all. Record scheduled meetings separately from unsolicited introductions and repeat encounters.
- Measure outputs. Track qualified investor follow-ups, customer discovery meetings, pilots, candidate interviews, hires, partnerships and time to decision.
- Compare locations. Run the same scorecard for an equivalent period in your current city or another candidate market.
- Move the smallest useful unit first. A founder or business-development lead may be enough; do not relocate employees whose work does not benefit from proximity.
- Calculate the return. Compare incremental gross profit, financing probability, hiring value or time saved with travel, workspace, compensation, housing, legal and personal costs.
- Commit only after evidence. Establish a permanent base when the measured benefit is recurring and larger than the full financial and organizational cost.
What the evidence does not prove
- Concentration does not establish that relocating causes better startup outcomes.
- The interviewed founders were venture-backed, internationally mobile and connected to Y Combinator or major investors; they are not representative of every founder.
- Remote work remains viable for fundraising and operations. Lenton explicitly described accessing major investors from Berlin.
- Y Combinator reinforces Bay Area density through events, current-cohort activity and Bookface, but it does not alone explain the ecosystem or require every company to move.
- The 2024 AI cycle should not automatically be generalized to every industry, stage or future funding environment.
Contemporary reader discussion also raised questions about cost, safety, geography, remote work and dataset scope; those comments are anecdotal rather than representative survey evidence. The distinction between a correlation, a founder’s experience and a measured company outcome remains essential.
Bottom line by decision
For an AI-heavy, venture-backed startup that sells to Bay Area companies or needs scarce technical talent, a San Francisco or broader Bay Area base was a strong strategic option in 2024. For a healthcare, biotech, industrial, logistics or locally regulated company, another region may create more value. For a remote-first or bootstrapped business, moving without a clearly measured bottleneck can simply exchange runway for networking opportunities.
The practical conclusion is narrower than “San Francisco is back”: presence in the Bay Area can be an investment in access and network density. Treat it like any other investment—define the expected return, run a low-commitment test, and keep the team distributed or the footprint small unless the numbers justify more.
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