Every app release, a solo dev burns half a day in Figma faking screenshots — or pays a designer $250 and waits three days. The result still looks like a template. Meanwhile the top 100 apps on the store have screenshots so polished they convert 2x. That gap is money on the table every single ship cycle.

There are roughly 50-100k devs shipping monthly updates to iOS/Android. Capture 1.5% at $39/mo blended ARPU and that's ~$700k ARR — not a unicorn, but a real lifestyle SaaS with a clear $1M+ ceiling if we land small studios managing multiple apps.

Incumbents (AppLaunchpad, Shotbot, Appscreens) are template factories — the dev still does the design work. Our wedge: ingest the user's raw screens, extract their actual UI palette/typography/tone, and output on-brand assets across all device/locale combos. Why now: multimodal models got cheap and good enough at style transfer in the last 12 months to make this economically viable per generation.

Honest on edges: Lisandro's Apple background helps with App Store mechanics but isn't a moat. Defensibility is the real risk — Canva can clone this in 60 days. So we don't build a fortress, we build a cashflow sprint.

The bet: 14 days, ~$2k in API + landing page + Vercel. Kill if <15 signups, <25% complete a generation, or <3 paid conversions by day 30. Small, reversible, fast signal.

Let's ship it before Canva wakes up.

Every month, thousands of print-on-demand sellers stare at a Printify dashboard that shows what already happened and try to guess whether they can quit their day job. They're flying blind on the one decision that actually matters: when to push ad spend, when to hold, when to cut. Facebook groups and gut feel are the current 'tools.' That's broken, and it's the difference between freedom and a humiliating return to a cubicle.

The pool is real but narrower than the headline: ~50-100k US POD sellers, but the honest willing-to-pay segment is sellers already doing $1-3k/month who can taste $4k. Call it 5k reachable founders × 3% capture × $50 ARPU = ~$90k ARR year one — a probe, not a unicorn.

The wedge: every cash-flow tool (Pulse, Causal, LivePlan) assumes inventory and demands setup; every POD dashboard is backward-looking. Nobody bakes in platform fee stacks plus prescriptive 'scale/hold/cut' triggers tied to margin thresholds. That gap is real, but copyable by Printify in a quarter — so speed matters.

Why now: honestly, nothing dramatic changed. The opening is just persistent neglect by incumbents.

Why us: weak. This isn't in your manufacturing/Amazon wheelhouse, and I won't pretend otherwise.

The path is cheap and brutal: free Sheet + scaling 1-pager posted to r/Etsysellers and r/shopify, ~$0 capital, 14 days. Kill if <25 signups in 7 days, <3 Stripe reservation clicks in 14, or zero paid conversions in 30. The Sheet-cannibalizes-SaaS risk is real — that's exactly what the paywall test exposes.

Let's spend two weeks and a weekend to find out if anyone actually swipes a card.

Picture a third-year associate at a regional firm who just missed a filing deadline. She can't ask her risk partner what happens to her career, can't tell if she's even covered under the firm's umbrella, and can't decode whether 'claims-made' means she's exposed after she laterals. Every existing resource — carrier PDFs, bar association memos, $300 CLEs — is written for firm administrators, not the 26-year-old whose career is actually on the line.

There are ~100k junior lawyers in the US. At a 1% capture and $25 ARPU, that's $300k ARR; at 2% and $30, it's $720k. Nobody is selling them an interactive scenario tool today — the wedge is real, the privacy angle is sharp, and willingness-to-pay is the open question.

I won't oversell the moat: the IP is a decision tree, and a bar association could clone it in 60 days. We also have no operator edge here — this isn't manufacturing or wine. So we treat it as pure demand validation. Why now: r/Lawyertalk and legal Twitter have made associates comfortable seeking advice outside their firm.

The test: a free 2-minute fear-assessment quiz, distributed through r/Lawyertalk and law school alumni lists, upselling to a $29 PDF and a $19/mo subscription. 14 days, ~$200 in ad spend, kill at <75 starts or <5% PDF conversion, hard kill at 200 starts with zero paid by day 45.

It's cheap, it's fast, and the pain is real even if the trigger moment is fuzzy. Let's find out if abstract peace of mind opens a wallet.

HR SaaS teams keep shipping 'Grados de Pago' when payroll engineers in Madrid actually say 'Escalas salariales.' Cosine similarity says 0.92 — passes. Native speakers say 'this is broken' — rework. Every Series A SaaS localizing into 5+ languages is paying humans to catch what AI confidently mistranslates, because Lokalise's QA stops at tag mismatches and length warnings.

Narrow but real: ~1,200 seed-to-Series B SaaS teams localizing 5+ languages, mid-market ARPU around $300/mo for a CI-plugged scoring API. 5% capture × $3.6k ACV = ~$200k ARR floor, with a credible path to $1M if we ride into fintech and legal verticals. Not a unicorn — a sharp wedge.

The wedge is honest-but-thin: domain glossary + multi-engine back-translation as a scoring API that sits in GitHub Actions, no TMS migration. Incumbents have the primitives (Lokalise has glossaries and webhooks) but haven't shipped contextual scoring as a first-class feature. If Lokalise ships it natively in 60 days, we're cooked — that's the real risk and I won't pretend otherwise.

Why now: GPT-4-class back-translation is cheap enough ($0.001/string) to run on every commit, which wasn't true 18 months ago. Why me: I'm bilingual Spanish/English — I can validate domain errors instinctively and sell to LATAM-localizing US SaaS with native credibility.

The bet: 14 days, ~$2k in API spend, 100 HR strings from a design partner. Kill if accuracy lift <20% vs cosine baseline, or <3 CI integrations and <$500 MRR by day 45.

Small, reversible, and I know exactly when to walk. Let's run it.

Family law attorneys are getting ground down by a new tax: clients running draft separation agreements through ChatGPT and showing up with 40 lines of cosmetic redlines that change zero legal effect. The attorney either eats the review time or bills it and looks greedy. Either way, the client thinks they 'caught something' the lawyer missed. It's a trust-eroding, time-eroding mess and it showed up in the last 18 months.

Market is bounded but real: ~30k solo and small-firm family law attorneys in the US, target ARPU $50/mo, 3% capture = ~$540k ARR. Not a unicorn. A respectable, capital-light SaaS line.

The wedge is narrow on purpose. Harvey, CoCounsel, Spellbook all aim at BigLaw transactional work and the attorney seat. Nobody ships a client-facing intake layer for MSAs, parenting plans, and QDROs that triages edits by legal effect before the attorney opens the file. That's the gap.

Honest about the risks: operator-edge fit here is near zero — Lisandro has no legal network, no Spanish-market angle, nothing unfair. And the skeptic's right that ChatGPT redlines may only cost 15 min/matter, not an hour, which collapses willingness-to-pay.

So the test is cheap and brutal: a PDF checklist plus email script, zero code, sent to family law attorneys cold. 14 days. Kill if <5 adopt, <2 report fewer frivolous redlines, or zero will commit $30+/mo when asked directly. Total capital: a weekend and outreach time.

Let me spend two weeks proving the pain is real before we build anything.