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Mobbin
Bootstrapped design-reference data library - Singapore, 2018
👤 Jiho Lim (with Jovin Liew, Jian Jie Liau) (A freelance UI designer who screenshotted apps himself, then launched through design influencers' own audiences.)🌐 sitejiholim.com𝕏LinkedIn

Designers used to download apps, screenshot, delete, repeat. Mobbin turned that grind into a searchable paid library.

Will it work? · our read
Hand-tagged moat. But upkeep never stops: every new app version demands fresh captures, and Figma or an AI scraper could bundle the same reference for free tomorrow.
01How the money moves
Team hand-captures full UI flows from 1,000+ shipped apps
Every screen tagged by pattern, made searchable, refreshed weekly
Designers subscribe (about $240-480/yr) to search, not screenshot
02The numbers
$1.6M
ARR (est.)
Latka est.
1M+
designers
Mobbin
1,000+
apps tracked
Mobbin
Revenue is a third-party estimate; user and app counts are Mobbin's own marketing. Latka (est.)
About $1.6M ARR in 2024 (Latka estimate, up from about $1M in 2023). Bootstrapped, no outside funding.
03Weight class — CENTStap an axis
ControlEntryNeedTimeScale
Control Mid
Sets its own pricing and owns the brand, but the content is other companies' UI - a standing IP and goodwill risk.
04The key move
Record the whole flow
Rivals posted screenshots. Mobbin hand-records the whole journey - onboarding, checkout, paywall - tagging each screen by pattern, refreshed weekly. The tedium is the point: a dataset too laborious to copy.
our read
The counter-intuitive move
Or they are just prettier screenshots - and the day an AI auto-captures and tags flows, the grind becomes a cost, not a moat.
our read
05Where the moat is
Why a library of other apps' screenshots is hard to copy:
Years of hand-tagged flows rivals won't grind outWeekly upkeep keeps it current, not staleFull user flows, not single screenshotsLaunched via design-influencer audiences
06How it diesmedium confidence
It dies if manual re-capturing falls behind app updates, so the library goes stale, or an AI scraper (or Figma itself) auto-tags flows for free, turning years of hand-labor into a cost. our read
Show evidence · counter
Evidence: The genre's original gallery, Pttrns, had to bolt on AI to stay relevant while Mobbin grew by staying current [our read].
Counter: Weekly upkeep and a trusted brand have kept it current and paid for 8 years, and auto-tagging UI intent well is still unsolved.
07Against rivals
Mobbin$240-480/yr
Page Flowsabout $100/yr
Pttrnsabout $72/yr
Screenlanefree
Bar weights are our read of library breadth, not disclosed revenue. our read
08Who uses it
Product designersUX/UI teamsStartup foundersDesign agenciesPMs
Would it work for you?
Where is there a tedious, repetitive task you already do - that others would pay to have organized and searchable?
Its moat was boring labor rivals refused to do. Where could you outwork them? We don't score you — you answer.
🚀Use it as a launchpada prompt for your own AI
Copy → paste into your AI → then develop it freely in the conversation.
You are a sharp, honest startup strategist. Use the proven case below as a launchpad for MY idea — help me find my own angle, not copy it. <my_profile> Domain I know: [your domain] My unfair advantage (access/audience): [your edge] Interests: [your interests] Resources & goal: [your resources] · [your goal] </my_profile> <case name="Mobbin" model="data"> What it does: Mobbin sells designers an annual subscription to a searchable, hand-tagged library of real apps' UI screens and full user flows. Why it won (moat): Mobbin's moat is years of manual flow-capturing and weekly upkeep that rivals won't replicate, plus a brand embedded in the design community. Weakest axis (CENTS): Mobbin's weakness is constant upkeep: the library falls out of date without ongoing re-capturing, and its content is other companies' UI. How it could die: Mobbin dies if AI can auto-capture and tag UI flows for free, or a tool like Figma bundles the same reference, turning years of hand-labor into a cost. </case> <task> Be a skeptical operator, not a cheerleader. No generic startup platitudes. If my angle is weak, say so plainly. First, a reality check: markets like this mostly fail. State the honest base rate (how crowded/hard is this?) and the ONE specific thing that would have to be true for ME to be the exception — grounded in my profile above. Then a compact table: - Fit — does this pattern suit my edge, or fight my gap? - Angle — my sharpest differentiation vs Mobbin (concrete, not "better UX") - Distribution — exactly where my first 100 users come from (this is the hardest part — be specific, not "content marketing") - Risk — its "how it dies" (above) in MY situation Finish with one line: "The single thing to do next." Use only the facts above; if data is thin, say so — never invent numbers. Then stay with me and go deeper on whatever I ask — tech stack, rough cost & time, the smallest MVP to test, pricing, or timing. </task>
✓ Copied — paste into your AI
👤Placeholders like [your domain] auto-fill from your profile — example values for now.Set up profile →
Sourcesupdated · daily
Starter Story: how Lim Jiho built Mobbin - founder story, model, bootstrappedLatka: Mobbin revenue (estimate) - $1.6M ARR 2024, labeled an estimate, not founder-statedCrunchbase: Mobbin - no funding rounds recorded (bootstrapped)jiholim.com - founder Jiho Lim personal siteMobbin pricing - subscription tiers and library size
Revenue ($1.6M ARR, 2024) is a Latka THIRD-PARTY ESTIMATE - Latka's own page states it never interviewed management, so it is unverified; Mobbin has not disclosed revenue first-party. Bootstrapped/no funding (Crunchbase), 1M+ designers, 1,000+ apps with hundreds of thousands of screens and 140K+ flows, and roughly $20-40 per seat (annual billing) are from Mobbin, Starter Story and Vendr. The 'tedium is the moat' framing and the AI-commoditization death case are [our read], not founder statements. We never score you.