Market landscape

Researched April 2026 · last reviewed July 2026.

The sizing below still holds — the Fed's 2022 Survey of Consumer Finances remains the latest published wave, so no newer primary data exists to re-base it on. Two scope limits matter when reading it. This is a US lens: Felix now runs one codebase parameterized by country, each user pinned to the US or India, and the India market has not been sized — an open research gap. And the beachhead validated here is a go-to-market conclusion: the current friends-and-family build is scoped to equities and ETFs with no equity-comp features yet, so this segmentation work becomes load-bearing again when Felix turns to growth.

---

1. TAM / SAM / SOM

Sizing the Core Demographic: US Households, $500K–$5M Investable Assets, Primary Earner Age 25–35

Methodology: This analysis triangulates from multiple data sources. Exact intersection of age + wealth band is not published as a single statistic, so I build from components and flag uncertainty throughout.

Total US Households with $500K–$5M Investable Assets:

• Per the Federal Reserve's 2022 Survey of Consumer Finances (SCF), approximately 15–18 million US households have a net worth between $500K and $5M. However, "investable assets" (excluding primary residence equity) is a narrower figure. Adjusting for home equity (which represents ~40–60% of net worth for many households in this band), roughly 8–12 million households have $500K–$5M in investable/financial assets.
• Cerulli Associates and Spectrem Group estimates are broadly consistent, placing the "mass affluent" ($500K–$1M) and "lower HNW" ($1M–$5M) segments at roughly 12–15M households combined (by net worth), with investable assets being a subset.

Age Filter: Primary Earner 25–35:

• The SCF shows that median net worth for households headed by someone under 35 is approximately $39K (2022). The mean is higher (~$183K), pulled up by a long right tail. The vast majority of under-35 households do NOT have $500K+ in investable assets.
• However, the right tail is meaningful and growing. Per the SCF, roughly 3–5% of households with a head under 35 have net worth above $500K. With ~20M US households headed by someone 25–35, that yields approximately 600K–1M households in this age band with $500K+ net worth.
• Adjusting for investable assets (excluding home equity), a reasonable estimate is 400K–800K households with $500K–$5M in investable assets and a primary earner aged 25–35.
• Uncertainty flag: This is an estimate built from distributional tails. The exact number could be as low as 300K or as high as 1M. The number is growing due to tech equity comp, crypto gains (for those who held), and high-income professional salaries in HCOL areas.

TAM (Total Addressable Market):

• If these 400K–800K households each spend an average of $3,000–$10,000/year on financial advice (advisor fees at 0.5–1% AUM on a $500K–$2M portfolio, plus tax prep, plus ad hoc CPA/planner consultations), the total annual spend pool is roughly $1.5B–$6B/year.
• A more conservative framing: the ~600K target households, at an average AUM of ~$1.2M, paying a blended 0.6% (mix of robo-advisor fees, partial advisor usage, tax prep), spend roughly $4,300/year on average, yielding a TAM of approximately $2.5B/year.

SAM (Serviceable Addressable Market):

• Not all of these households are reachable or willing to use a software-only solution. Filtering for:
  • Digitally native (high, given age band — ~90%+)
  • Not already locked into a family advisor or institutional wealth management (~70% are self-directed or use robo only)
  • Have sufficient portfolio complexity to need more than a robo-advisor (~50–60%)
• SAM estimate: ~250K–400K households, representing roughly $1B–$2B/year in current financial advice spend that could be displaced.

SOM (Serviceable Obtainable Market) — Year 1–3:

• For a new entrant with strong product-market fit in a beachhead (e.g., tech workers with equity comp), a realistic 3-year target might be 5,000–25,000 paying users.
• At MVP pricing of $15–$30/month ($180–$360/year), this yields:
  • Year 1: 2,000–5,000 users = $360K–$1.8M ARR
  • Year 3: 10,000–25,000 users at blended $30–$80/month (as features expand and pricing tiers increase) = $3.6M–$24M ARR
• SOM: $5M–$20M ARR by year 3 is a reasonable planning range, highly dependent on GTM execution, feature expansion, and pricing tier adoption.

Sources: Federal Reserve SCF 2022, Cerulli Associates U.S. High-Net-Worth and Ultra-High-Net-Worth Markets 2023, Spectrem Group Market Insights, Bureau of Labor Statistics (household counts by age).

---

2. Market Segments

Segment Definitions Within the $500K–$5M / Age 25–35 Demographic

Segment Ranking by Attractiveness for Beachhead

Top 3 beachhead candidates:

1. Tech workers with equity comp — dominant on every axis
2. Medical professionals — high pain, high income, but harder to reach at scale
3. High-income dual earners — large segment but lower complexity/pain

---

3. Market Trends: Tailwinds and Headwinds

Tailwinds

1. Self-Directed Investing is Surging Among Under-40s

• Schwab's 2023 Modern Wealth Survey found that 15% of Gen Z and Millennials began investing in 2020–2022. Robinhood, Fidelity, and Schwab all reported record new account openings skewing young.
• However, "self-directed" often means "no plan." Accumulation has outpaced sophistication — this is the core market gap.

2. Robo-Advisors Proved the Category but Left a Gap

• Betterment, Wealthfront, etc. normalized software-driven financial management. US robo-advisory AUM reached ~$460B by mid-2024.
• But robo-advisors are primarily allocation + tax-loss harvesting on a single portfolio. They do NOT handle: equity comp planning, cross-account asset location, backdoor Roth strategy, holistic tax optimization across accounts, RSU vesting schedules, or retirement projections integrating all of the above.

3. AI Capabilities Make "Advisor-Grade" Software Feasible

• LLM + structured financial modeling can now deliver personalized, context-aware guidance that would have required a human advisor 3 years ago.

4. Generational Wealth Transfer

• Cerulli projects $84 trillion in wealth will transfer from Baby Boomers to younger generations through 2045. Recipients will need advice but are unlikely to use their parents' advisor.

5. Fee Compression in Advisory

• Average advisory fees have declined from ~1.1% AUM to ~0.85% over the past decade. Young high earners are particularly fee-sensitive.

6. Rising Tax Complexity for High Earners

• AMT exposure, NIIT, state tax optimization (remote work), RSU/ISO tax treatment, backdoor Roth compliance, crypto tax reporting.

Headwinds

1. Trust Deficit for AI Financial Advice

• A 2023 Bankrate survey found only 25% of Americans would trust AI for financial advice. However, this skews heavily by age — younger, higher-income, tech-adjacent users are significantly more trusting.

2. Regulatory Uncertainty

• The SEC has signaled scrutiny of "AI-washed" financial products. If the product is deemed "investment advice" under the Advisers Act, registration, compliance, and fiduciary liability follow.

3. Robo-Advisor Incumbents Could Expand

• Wealthfront, Betterment, and Schwab all have resources to add more holistic planning features. However, incumbents are constrained by their AUM-based business models.

4. Behavioral Inertia

• Converting "I should figure this out" into "I'm paying $200/month for this" requires strong activation triggers.

5. Free Content Competition

• Reddit, Bogleheads, YouTube, and financial podcasts provide extensive free guidance. The product must deliver clearly personalized, actionable advice that generic content cannot match.

---

4. Beachhead Recommendation

Verdict: Tech Workers with Equity Compensation — VALIDATED

Ideal beachhead persona: A 28–34 year old at a public tech company (or recently-IPO'd company), with $150K–$400K+ TC, holding $300K–$2M in vested/unvested RSUs, plus a 401k, taxable brokerage, and possibly an IRA. They live in CA, WA, NY, or TX.

Why this segment wins on every dimension:

1. Acute, specific pain: RSUs create forced decisions on a quarterly vesting schedule. Each vest is a taxable event. Concentrated stock risk is real and felt.
2. High complexity, poorly served: No robo-advisor handles RSU vesting schedules, ISO vs. RSU tax treatment, ESPP optimization, or 83(b) elections.
3. Willingness to pay is high: They spend $200/month on subscriptions without blinking. A $150–$300/month tool that saves $5K–$20K/year in taxes is obvious.
4. Extremely reachable: Twitter/X, Blind, specific subreddits, Hacker News, company Slack channels. Viral coefficient in tech companies is real.
5. Network effects within companies: Everyone at Google has the same equity comp structure, same 401k provider, same ESPP terms.

Sharpening: Prioritize public company employees over startup employees. Public company RSUs are liquid and create immediate, recurring tax optimization decisions.

Secondary beachhead (Phase 2): High-income medical professionals.

---

5. Deep-Dive Questions

5a. Anxiety Triggers

Ranked by frequency and intensity:

1. Constant low-grade "I should really figure this out" (~60% of the time). Ambient anxiety. They know they're leaving money on the table. Not urgent enough to act on any given day.

2. RSU vesting with no plan (for tech workers). Every quarter, shares vest. They Google "should I sell RSUs immediately" for the third time. They read conflicting advice. They do nothing.

3. Market drops (5%+ in a week). Down $75K, no idea if their allocation is right. Anxiety spikes but often fades as markets recover.

4. Tax season / unexpected tax bill. Owe $15K more than expected. CPA is reactive. They realize tax planning should have happened in October.

5. Coworker or friend mentions their advisor / their strategy. Social comparison. "My buddy just saved $8K with tax-loss harvesting."

6. Life event approaching. Marriage, house purchase, child. Creates a deadline and raises stakes.

7. Hitting a portfolio milestone ($500K, $1M, $2M). The psychological weight of "I could really mess this up" increases.

5b. The Informal Advice Ecosystem

Where the patchwork breaks down:

• No single source sees the whole picture. CPA sees taxes. Robo sees one account. Reddit sees a sanitized snapshot.
• Tactical answers without strategic context. They can find out HOW to do a backdoor Roth, but not WHETHER they should given their specific situation.
• No ongoing monitoring. Nobody is watching for when circumstances change.

5c. Triggers to Seek a Solution

Ordered by conversion strength (strongest first):

1. Tax bill shock. Concrete, painful, recent. Best conversion window: April–May, October–December.
2. Major equity event. IPO, large RSU vest cliff, acquisition. Time-sensitive, high stakes.
3. Job change. Multiple simultaneous decisions about 401k, unvested RSUs, stock options.
4. Life event. Engagement, marriage, pregnancy, home purchase.
5. Friend/peer influence. Social proof + specific dollar amount. Most scalable organic acquisition channel.
6. Portfolio milestone. Crossing $500K or $1M.
7. Market event. Significant drawdown creates urgency but lower-quality conversion intent.
8. Content trigger. Article or thread that quantifies what they're leaving on the table.

5d. Portfolio Complexity Spectrum

• ~15% low complexity. Bogleheads with target date funds. Not our target.
• ~35% moderate complexity. Multiple accounts, some stock picks, maybe crypto. Addressable but not the beachhead.
• ~35% high complexity. RSUs + 401k + IRA + taxable + crypto. 4–7 accounts across 3–5 institutions. This is the sweet spot.
• ~15% very high complexity. All of above plus rental properties, angel investments, trusts. May need a human advisor for some of this.

The complexity trigger: Someone with 4+ financial accounts across 2+ institutions, plus at least one "complex" asset type (RSUs, ISOs, backdoor Roth, crypto with tax lots). Below this threshold, existing tools suffice.

---

Summary