Business Idea Analysis · 5 Expert AI Roles
Show HN: Use After Effects with Claude Code, Cursor and Antigravity
34 out of 100 Kill
✕ STOP

Fundamental market or economic problem — can't be fixed by changing execution. Don't invest further.

5 expert AI roles Critic Market Strategist Trend Hunter Architect Deep Research
Panel lineup: Claude Opus · GPT-5 · Grok · Gemini · Perplexity
This is an open-source bridge that lets AI coding agents like Claude and Cursor generate and run After Effects scripts. The problem (slow, brittle AE scripting) is real, but this is a thin glue layer between two platforms you don't own, targeting a razor-thin intersection of AE users who also code with AI agents, with no visible monetization and a moat that clones in a week — and Adobe is already shipping a native AI Assistant for After Effects.
🧠 AI Panel Verdict ?
⚔️ Devil's Advocate
⚠ WOUND
5 risks identified
📊 Market Strategist
LTV/CAC 1.0×
aescripts + aeplugins marketplace listing (with featured placement)
🌊 Trend Hunter
🚀 Launch Now
AI编码助手与创意软件的融合正处于早期增长阶段，Claude 3.5 Sonnet和Cursor的爆火为这类工具提供了完美时机。目前竞争者稀少，Show HN…
🏗️ Solution Arch
Feasibility 7/10
MVP 18days solo
🔍 Deep Research
Complete
Perplexity Sonar
🎯 Synthesizer
✕ STOP
Score: 34/100
✅ Quick Filter ? 3/5
❌
MVP buildable in ≤2 weeks with AI coding tools?
Architect estimates 18 days solo; ExtendScript quirks and OS/version fragmentation push a reliable version past two weeks.
✅
People ALREADY pay for a solution to this problem?
Dataclay Templater ($99-149/mo) and Automation Blocks (€89) prove studios pay for AE automation.
✅
Gross margin ≥ 60%?
Compute runs locally on the user's machine; only Anthropic API + Supabase costs, so gross margin ~80-88%.
✅
Scales without linear cost growth?
Rendering happens on user hardware; server-side scaling is cheap and near-flat.
❌
Clear competitive advantage vs free alternatives?
It IS essentially an MCP server for AE — clonable in a week, and free ExtendScript+Cursor toolchains already exist.
📋 Score Breakdown ?
Pain Strength
5
ICP Buying Power
4
Channel Accessibility
6
Unit Economics
3
Competitive Moat
2
Build Speed
6
AI Acceleration
8
Speed to Revenue
4
Regulatory Risk
8
Trend Timing
7
⚔️ Devil's Advocate ?
Tiny addressable market of AE power users
High
Motion designers who both use After Effects AND write code with Claude/Cursor is a razor-thin intersection — maybe tens of thousands globally. Most AE users are visual artists who fear the terminal, not engineers.
Probability:
75%
💡 Interview 30 real AE users to measure how many actually want to script AE via an AI coding agent vs. just using AE's built-in expressions and scripts.
Adobe can absorb this natively
High
Adobe is already shipping Firefly and AI features across Creative Cloud. An MCP-style bridge or AI scripting assistant inside AE is a trivial roadmap item for them, and they own the ExtendScript/UXP runtime you're wrapping.
Probability:
60%
💡 Position as a developer/automation layer Adobe won't prioritize, or pivot to studios needing batch/pipeline automation Adobe ignores.
Zero monetization path visible
High
This is an open-source GitHub wrapper. Nobody pays for a thin bridge between an LLM and AE's scripting API — the value is in the LLM and AE, both of which you don't own.
Probability:
70%
💡 Define a paid tier (hosted service, team pipeline features, template library) before assuming this is a business rather than a portfolio project.
Fragile dependency on AE scripting API
Medium
AE's ExtendScript/UXP APIs are notoriously incomplete and quirky; an LLM generating scripts against them will produce broken, hard-to-debug output for anything non-trivial.
Probability:
65%
💡 Constrain scope to well-supported operations and build a validated library of known-good script patterns to feed the model.
Commoditized by generic MCP servers
Medium
This is essentially an MCP server for AE. The moment MCP for creative tools becomes standard, anyone spins up an equivalent in a weekend, and Anthropic/OpenAI may publish reference integrations.
Probability:
55%
💡 Build a data moat: capture which prompts produce reliable AE results and use that to outperform naive clones.
Hidden Assumptions
AE users want to control the tool through an AI coding agent
Motion designers work visually and iteratively; describing an animation in prose to an LLM is often slower and less precise than dragging keyframes. The workflow mismatch is fundamental, not a UX polish issue.
An LLM can reliably generate correct After Effects scripts
AE scripting is sparse in training data and full of undocumented edge cases; hallucinated or subtly wrong scripts will erode trust after a few failures, which is fatal for a productivity tool.
This wrapper is defensible as a product
It sits between two platforms you don't own (the LLM and Adobe). All the leverage — and margin — belongs to Anthropic/OpenAI and Adobe, leaving you a commoditizable glue layer.
⚠️ Cognitive Bias Check
Confirmation Bias
Show HN launches attract technically curious upvoters who love the novelty of 'AI + creative tool', not the actual target buyer paying for a workflow.
✅ Reality check: Track how many HN upvoters are working motion designers vs. developers rubbernecking. Retention after week 1 is the only signal that matters.
Optimism Bias
Assuming AI-generated AE scripts will 'just work' well enough to replace manual workflows, when the API is notoriously fragile.
✅ Reality check: Run 50 realistic user prompts through the tool and log the success rate. If under 70% produce usable output without manual fixing, the value proposition collapses.
Survivorship Bias
Extrapolating from successful AI coding tools (Cursor, Claude Code) to a creative-tool bridge, ignoring that those work because code is text-native and AE animation is visual.
✅ Reality check: Compare the workflow: does prose-to-script actually beat direct manipulation for the top 10 real AE tasks? Time both.
🤖 AI Commoditization Risk
Days to Clone
7
Big Tech Risk
High
Clone time is under 14 days, so the moat is effectively 0. It's a bridge between two commodities; the only conceivable defensibility is a curated library of scripts that actually work reliably — which you haven't built yet.
Worst Case
In 18 months Adobe ships an AI scripting assistant inside After Effects and Anthropic publishes reference MCP integrations for creative apps. Your repo has 400 stars, a handful of enthusiastic HN comments, zero revenue, and a stream of GitHub issues about broken scripts on the latest AE version. You maintain it as an unpaid side project until you quietly archive it.
Minimum Experiment
Post a Loom demo in 3 motion-design communities (Reddit r/AfterEffects, School of Motion Slack, Discord) showing 5 real tasks done via prompt. Measure: how many working designers say 'I'd use this daily' AND attempt to install it within 2 weeks. Costs $0. If under 20 genuine intent signals, the market isn't there.
💡 Alternative Cost
1
Build a focused AE plugin that automates one painful repetitive task (e.g., batch rendering, template population) without any LLM
Solves a concrete painkiller with proven demand and a clear paid path, instead of a broad AI wrapper chasing a niche of a niche.
2
Turn the underlying skill into paid content: a course or template pack on scripting/automating After Effects
Motion designers actively pay for education and assets; monetizes your expertise immediately with near-zero infra risk.
3
Build an MCP server for a broader, more code-native creative pipeline (Blender, FFmpeg, video batch processing) where prose control genuinely fits
Larger developer-adjacent audience, tasks that are naturally programmatic, and a real chance of becoming a standard integration.
📊 Market & Competition ?
TAM
$0.08B
total market
SAM
$6.5M
reachable
SOM
$0.35M
your slice
Market Score
5/10
out of 10
Competitors
Company Price Revenue (est.) Strength Weakness
Adobe After Effects + Firefly/UXP (incumbent) $20.99/mo AE standalone (or $59.99/mo Creative Cloud All Apps) $20B+ Adobe total; AE share not broken out Deep integration, massive installed base, and the ability to ship agent-like features natively. Enterprise cadence and backward-compatibility constraints slow experimental workflow features and open agent hooks.
Dataclay Templater for After Effects $99–$149/mo per seat (typical studio pricing) $1–3M ARR (est., small team, niche B2B focus) Battle-tested data-driven video automation with sheets/JSON pipelines and studio references. Template-driven and setup-heavy; not AI/agent-native, limited to templating vs. exploratory automation.
Automation Blocks for After Effects (BatchFrame) €89 one-time per seat $0.3–0.8M annual sales (est., indie developer scale) Robust no-code/node-based automation for common AE tasks, strong value for solo creators. One-time license limits ongoing innovation; lacks first-class AI assistant/IDE agent integration.
Open-source AE scripting (ExtendScript/UXP + VS Code toolchains, aequery, etc.) Free (tooling/plugins; time cost only) $0 (open-source); ecosystem-wide impact is large Zero cost and highly flexible for developers who can wire their own pipelines to AI editors. Steep setup/maintenance burden, no turnkey bridge to Claude/Cursor agents, brittle across AE versions.
Runway (Gen-2) / AI video substitutes $12–$35/mo $30–50M ARR (est., venture-backed, rapid growth) Removes some AE work entirely via generative video/effects, fast iteration for social content. Poor fine-grained control and limited fidelity to brand/template constraints vs. AE automation.
Ideal Customer Profile (ICP)
Who
Motion designers and post-production generalists in 2–20 person studios or freelance shops in US/EU who use After Effects daily and already use Claude Code or Cursor; comfortable executing scripts but not experts in ExtendScript/UXP.
Pain
Repetitive AE tasks (versioning, batch renders, layer/property manipulations) and brittle scripting; writing expressions/ExtendScript is slow and error-prone; they want to prompt an AI agent to generate/modify scripts and run them safely inside AE.
Budget
Typically spend $150–$500/year on AE plugins/utilities; would pay $12–$29/month for a reliable AI-to-AE bridge that saves 2–5 hours/month.
Unit Economics
ARPU
$19
/mo
LTV 12mo
$119
12-month value
CAC paid
$120
cost per customer
LTV/CAC
1.0×
target ≥ 3
Gross Margin
88%
gross
Monthly Churn
14% ↑
target ≤5%
💰 Pricing Options
Free
$0
Local runs up to 5 actions/day, basic AE bridge, community support, no headless/queue, attribution watermark on exports.
~6% conversion
Freemium makes sense because buyers need to validate stability inside their exact AE stack; the hard paywall stalls adoption. Expect 6–10% of page visitors to install Free, and 8–15% of Free to upgrade in 30–60 days when job limits bite.
Indie
$15
Unlimited local runs, CLI, basic templates, 1 workstation activation, community support.
~2.2% conversion
Priced against indie plugin norms ($10–$20/mo) and below Templater. Target 60–75% of paid users. Launch with this as the primary SKU to reduce decision friction.
Pro
$29
Headless agent mode, job queue, preset library sync, priority support, 2 workstation activations, team-ready project scaffolds.
~0.8% conversion
Studios pay for reliability and throughput. Expected 25–40% of paid mix. Launch with Indie + Pro only (no annuals initially) to simplify and learn willingness-to-pay; add annuals after first 100 paid customers.
Best First Channel
aescripts + aeplugins marketplace listing (with featured placement)
📈 Conversion: 1.2% 💰 Experiment cost: $900 ⏱ Days to first sale: 10 days
Highest-intent marketplace for AE buyers; immediate distribution via their newsletter and category traffic. Cost realism: ~$300 demo video production assets + ~$200 design/copy + ~$150 code signing/packaging/testing devices + ~$250 sponsored/featured slot. Expect ~2,500 listing views → ~30 purchases (1.2%) in first 2 weeks if featured.
📉 AI Market Dynamics (12 months)
New Competitors
+25
Price Pressure
-35%
CAC Inflation
+40%
📊 Base vs AI-Adjusted Scenario
ARPU compresses ~35% as new AI bridges and free scripts proliferate; paid CAC inflates ~50% as Cursor/Claude/AE keywords get crowded and marketplaces take larger rev-shares. Extra inference/orchestration overhead trims gross margin.
Metric Base AI-Adjusted
ARPU M12 $20 $13
CAC M12 $110 $165
Gross Margin 88% 80%
LTV/CAC 1.2× 0.6×
🔍 Deep Research ?
Competitive Intelligence

Market & Risks

# Market Sizing and Risk Analysis for “Use After Effects with Claude Code, Cursor and Antigravity” The business idea under examination is inspired by a Show HN post titled “Use After Effects with Claude Code, Cursor and Antigravity,” which links to a GitHub repository and appears to propose deeper integration between Adobe After Effects and modern AI-assisted coding tools such as Claude Code, Cursor, and Antigravity.[1][2] At its core, this concept sits at the intersection of motion graphics production, AI-assisted software development, and creative workflow automation within the Adobe Creative Cloud ecosystem.[3][12] In this report, I analyze the addressable market for such a product, evaluate competitive and failure patterns where data is available, and outline regulatory and legal risks, while carefully distinguishing between evidence-backed statements and areas where reliable data is absent. The analysis relies on industry reports for animation software, video editing software, AI video, and motion graphics, as well as public information on Adobe Creative Cloud adoption and AI extensions for After Effects, to construct a methodologically transparent view of total addressable market (TAM), serviceable addressable market (SAM), and serviceable obtainable market (SOM).[3][5][6][7][8][12][13][14][16][17] Because public information on failed companies in this specific niche is scarce, and granular plugin-market data is not disclosed, the report explicitly flags these limitations rather than extrapolating unsupported figures.[4][13][15] ## Conceptualizing the Product and Its Ecosystem ### The Show HN Idea and Technical Positioning The starting point for this analysis is the Show HN post titled “Use After Effects with Claude Code, Cursor and Antigravity,” which is listed on Hacker News’ “Show” section and links to a GitHub repository hosted under the arman-luthra namespace.[1][2] The title itself conveys that the project allows users to “use After Effects” in conjunction with Claude Code, Cursor, and Antigravity, all of which are modern tools related to AI-assisted software development and coding workflows.[1] While the search results available here do not provide a detailed technical README from the repository, it is reasonable to infer from the title that the project focuses on bridging Adobe After Effects with AI coding assistants and next-generation developer environments, rather than, for example, building a standalone video editor.[1][3] This implies a product category centered on workflow integration and automation: enabling motion graphics professionals or technical artists to generate scripts, expressions, or automation routines for After Effects using AI-enabled coding tools, thereby compressing the learning curve associated with the After Effects scripting environment.[3][11] Adobe After Effects is described by Adobe as “industry-standard motion graphics software” that allows users to “take any idea and make it move,” serving film, TV, video, and web design use cases.[3] It is part of Adobe’s broader Creative Cloud ecosystem, which offers a “complete creative ecosystem” covering photo, design, video, and other creative domains.[12] Within this ecosystem, professional users commonly rely on expressions, scripts, and plugins to automate repetitive tasks, generate complex animations, or link visual elements to data-driven parameters, as illustrated by tutorials that demonstrate techniques such as using slider controls and expressions to animate social media subscriber counts and dynamic text.[11] The fact that Adobe promotes After Effects as a core motion graphics tool and that there exists a rich ecosystem of expressions, tutorials, and plugins indicates that a sizable fraction of users engage with its scripting features or at least benefit from them indirectly.[3][4][11] Third-party plugin and script marketplaces such as aescripts explicitly position themselves as providers of “the best plugins and scripts” for motion graphics software including Adobe After Effects, Cinema 4D, and Premiere Pro, emphasizing creative automation and productivity enhancements.[4] This suggests that the market already recognizes value in tools that enhance or extend After Effects functionality beyond the base application, particularly for professional workflows in 3D, visual effects (VFX), and motion graphics.[4] Adobe itself has begun integrating generative AI into its applications, including an “AI Assistant for After Effects” on Adobe Exchange, which “brings powerful AI automation directly into your workflow” and “understands natural-language prompts,” implying that at least one official extension already attempts to bridge AI and After Effects.[13] Taken together, these signals support the view that the project “Use After Effects with Claude Code, Cursor and Antigravity” belongs to a broader emerging category of AI-augmented workflow tools for professional

Demand Signals

⚙️ Technical Feasibility ?
Feasibility Score
70%
Impossible Hard Easy
Days to MVP
18
solo developer
Scalability
Moderate
Server scaling is extremely easy since rendering compute happens entirely on the user's local After Effects machine. However, product/support scaling is moderate-to-hard due to OS fragmentation (Windows vs. macOS permissions) and varying Adobe After Effects CC versions.
Recommended Stack
Node.js / TypeScript Adobe ExtendScript Tauri (for lightweight desktop UI) Supabase Anthropic API
🚫 NOT in MVP ?
Native UXP/CEP Panel inside After Effects
💭 It feels much more integrated and professional than an external desktop window or CLI.
→ Adobe panel development and signing is extremely painful and slow. A standalone CLI or lightweight Tauri separate window validates the core AI generation much faster.
Cloud Rendering / Cloud execution
💭 Allows users with weak machines to generate complex AI VFX.
→ Infrastructure costs and complexity for cloud video rendering are astronomical for an MVP. Stick to local AE execution.
Multi-software support (Premiere, Blender, C4D)
💭 Expands the Total Addressable Market to all video and 3D editors.
→ Every application has an entirely different scripting API and quirks. Achieving reliable AI execution in just After Effects will take 100% of your MVP time.
Key Integrations
Anthropic API
Core intelligence for generating ExtendScript based on user prompts.
$150/mo
Medium
Stripe
Handling licensing and recurring subscriptions for the tool.
$0/mo
Low
Supabase
User authentication, license management, and secure prompt template storage.
$25/mo
Low
☁️ Infrastructure Cost
Stage Total/mo Breakdown
M1 (~10) $55 Anthropic API $30 + Supabase $25
M6 (~100) $275 Anthropic API $250 + Supabase $25
M12 (~1K) $1550 Anthropic API $1500 + Supabase $50 (upgraded compute)
📅 Weekly Build Plan
W1
Local AE Bridge + Core Prompting
→ CLI capable of accepting a prompt, generating ExtendScript, and pushing it to a local AE instance.
~35h
W2
Error handling + Desktop UI
→ Lightweight Tauri UI wrapping the CLI, with auto-retry if AE throws an execution error.
~35h
W3
Auth, Licensing, and Packaging
→ Stripe/Supabase auth integration, signed macOS/Windows binaries, ready to sell.
~30h
🤖 AI Build Advantage
AI coding assistants completely bypass the notoriously poor and outdated Adobe ExtendScript documentation by generating correct boilerplate, IPC bridging, and local WebSocket scaffolding instantly.
⚠️ Biggest Tech Risk
The LLM hallucinating complex, non-existent After Effects API commands, or outputting modern ES6+ JavaScript that Adobe's aging ExtendScript engine cannot parse, resulting in silent failures.
🛠️ MVP Build Plan ?
Days to MVP
18
solo dev
Infra Cost
$25
/month
Invest to Breakeven
$700
P50 realistic
Tech Stack
Node.js/TypeScript (MCP-сервер) ExtendScript (Adobe CEP/UXP bridge) Model Context Protocol SDK npm (дистрибуция) Stripe / Gumroad (лицензии) PostHog (телеметрия opt-in)
MVP Features
MUST
MCP-сервер для After Effects (ExtendScript bridge)
Ядро продукта. Без надёжного моста между AI-агентом (Claude Code/Cursor) и API After Effects через ExtendScript ничего не работает. Это то, что валидирует главную гипотезу: можно ли реально управлять AE из чата. Всё остальное — обвязка.
⏱ ~40h
MUST
Набор базовых команд-инструментов (создать слой, кейфреймы, эффекты, композиции)
AI без структурированных tools будет галлюцинировать ExtendScript. Нужен проверенный набор из 15-25 атомарных операций, которые агент вызывает. Валидирует: получается ли осмысленный результат, а не сломанный проект.
⏱ ~35h
MUST
Установщик в один клик (npm / готовый конфиг для Claude Code)
Порог входа = смерть open-source dev-tools. Если настройка занимает 30 минут и требует ручной правки JSON, 90% попробовавших уйдут. Валидирует реальную активацию, а не только звёзды на GitHub.
⏱ ~16h
MUST
Обработка ошибок и откат (feedback loop к агенту)
ExtendScript падает молча. Агент должен получать читаемую ошибку и уметь исправляться сам. Это разница между 'вау' и 'бесит, удалил'. Критично для удержания.
⏱ ~20h
MUST
README с 5 демо-сценариями и GIF
Для Show HN и GitHub первое впечатление = демо. Без наглядных примеров ('сделай lower-third', 'анимируй логотип') люди не поймут ценность за 10 секунд. Валидирует top-of-funnel.
⏱ ~12h
SHOULD
Логирование использования (opt-in телеметрия команд)
Solo-фаундеру нужны данные: какие команды вызывают, где падает, кто вернулся. Без этого невозможно понять, что чинить. Не для юзера — для валидации PMF.
⏱ ~10h
SHOULD
Про-версия: gated расширенные команды + лицензионный ключ
Монетизация. Базовый мост бесплатный (для дистрибуции и хайпа), но премиум-паки (сложные анимации, шаблоны, batch-обработка) за ключ. Валидирует готовность платить, а не только хвалить.
⏱ ~18h
🗺️ First Customer Journey ?
1
Открытие
👤 Видит Show HN пост или вирусное демо-видео в Twitter/X
👁 Заголовок 'Управляй After Effects через Claude Code' + GIF с автоматической анимацией ⚙️ Публикация в HN, r/AfterEffects, Twitter-демо
2
GitHub / Landing
👤 Читает README, смотрит демо-GIF, ставит звезду
👁 Быстрый старт, список команд, примеры, ссылка на установку ⚙️ Качественный README и наглядные демо
3
Установка и настройка ⚠️ DROP RISK
👤 Устанавливает npm-пакет, подключает MCP к Claude Code/Cursor, разрешает доступ к AE
👁 Инструкция по установке, конфиг MCP, требования к версии AE ⚙️ Установщик в один клик, чёткий конфиг
4
Первый успешный запуск
👤 Пишет промпт агенту ('создай lower-third с fade-in'), видит результат в AE
👁 Слои и кейфреймы появляются в композиции автоматически ⚙️ Надёжные tools + обработка ошибок с самокоррекцией агента
5
Оплата про-версии
👤 Упирается в лимит бесплатных команд, покупает лицензионный ключ
👁 Paywall с премиум-паками (batch, шаблоны, сложные анимации), Stripe/Gumroad ⚙️ Gated премиум-функции + лицензионный ключ
6
Удержание
👤 Возвращается для реальных рабочих задач, делится результатами
👁 Обновления команд, новые шаблоны, растущая надёжность ⚙️ Регулярные апдейты, сбор фидбека, комьюнити в Discord
💡 Dropout mitigation: Установка и настройка — главный убийца dev-tools. ExtendScript/CEP-мост требует правильной версии AE, включённых скриптов и подключения MCP — это 3-4 точки отказа. Решение: (1) установщик в один npx-команду, который сам прописывает MCP-конфиг; (2) команда-диагностика 'aftr doctor', проверяющая версию AE, права и соединение с чёткими подсказками; (3) видео-туториал на 90 секунд в README; (4) fallback-инструкции для типичных ошибок Adobe. Цель — довести время от установки до первого успешного промпта до <5 минут.
💰 Financial Sketch (Realistic) ?
Investment Needed
$1500
until breakeven
Breakeven
М5
month of payback
MRR М12
$1800 ↑
at month 12
LTV/CAC
0.6× ↓
target ≥ 3
Unit Economics — Margin per Sale ?
Price per unit
$15.0
Cost per unit (COGS)
$1.5
Platform fee
0%
Margin per unit
$13.5
Min. price to break even: $1.5
Per-unit margin is healthy (~90%) since compute is local, but a free tier plus 14% monthly churn erodes lifetime value faster than acquisition can compensate — the economics break on retention, not margin.
Month MRR
M1 $0
M3 $300
M6 ✅ Breakeven $750
M12 ✅ Breakeven $1800
🟥 burning cash · 🟩 cash positive · ✅ BREAKEVEN = investment fully recovered
📈 Three Scenarios (P20 / P50 / P80) ?
P20 — Осторожный
MRR М12
$900
CAC
$45
Churn/mo
18%
To Breakeven
$1800
Show HN даёт всплеск звёзд, но конверсия в платящих <1%. Motion-дизайнеры не готовы платить за dev-tool. CAC вырос из-за платной рекламы в узкой нише. Отток 18% — люди пробуют раз и забрасывают.
P50 — Реалист
MRR М12
$1800
CAC
$18
Churn/mo
10%
To Breakeven
$700
Основной канал — бесплатный: GitHub, Show HN, r/AfterEffects, Twitter-демо (owned asset: собственный контент-канал, ~$150/мес на инструменты записи демо и время). Органика + word-of-mouth среди motion-разработчиков. Отток 10% — норма для нишевого dev-tool.
P80 — Оптимист
MRR М12
$16000
CAC
$6
Churn/mo
5%
To Breakeven
$300
Show HN попадает в топ, вирусные демо-видео в Twitter/X набирают миллионы просмотров, Adobe/Cursor-комьюнити подхватывают. Owned asset: вирусный Twitter-аккаунт с демо (~$200/мес контент-продакшн). Сетевой эффект: дизайнеры делятся результатами.
Month P20 P50 realistic P80
M1 $0 $90 $300
M3 $120 $450 $1600
M6 $350 $750 $5500
M12 $900 $1800 $16000
🧪 Hypotheses to Validate ?
H1
If we show 5 real AE tasks done via prompt to working motion designers, then at least 20 will express genuine intent to use it daily and attempt to install it.
🔬 Post a Loom demo in r/AfterEffects, School of Motion Slack, and 2 motion-design Discords; count install attempts and 'I'd use this daily' comments. ⏱ 14 days
H2
If we run 50 realistic user prompts through the tool, then ≥70% produce usable AE output without manual fixing.
🔬 Compile 50 real tasks from AE forums, run them, log success rate against the fragile ExtendScript engine. ⏱ 7 days
H3
If Adobe's native AI Assistant for AE is tested on the same 50 tasks, then it does NOT already cover the majority of our value prop.
🔬 Install Adobe's AI Assistant extension, run the same task set, compare coverage and reliability. ⏱ 3 days
🛑 Kill Criteria ?
⛔
Fewer than 20 genuine 'I'd use this daily' intent signals AND under 50 install attempts after posting the demo in 3+ motion-design communities within 2 weeks.
⛔
Script success rate below 70% on 50 realistic prompts — trust collapses after a few silent failures.
⛔
Adobe's native AI Assistant already covers the majority of the top-10 tasks with equal or better reliability.
⚖️ Risks & Opportunities ?
Top Risks
▸ Adobe already ships an 'AI Assistant for After Effects' that understands natural-language prompts — the core value prop can be absorbed natively within 6-12 months.
▸ Razor-thin ICP: the intersection of daily AE users AND active Claude/Cursor agent users is tens of thousands globally, most of whom are visual artists who avoid coding entirely.
▸ Zero moat and zero defined monetization — a thin bridge between an LLM and Adobe's API, clonable in a week, with all leverage held by Anthropic and Adobe.
Top Opportunities
▸ Real, proven demand for AE automation exists (Dataclay, Automation Blocks) — a focused painkiller tool could capture willing buyers.
▸ AI-coding-in-creative-tools narrative has strong viral potential (Show HN, motion-design communities) for cheap organic distribution.
▸ Local execution keeps infra costs near-zero, giving healthy gross margins if a monetization angle is found.
⚡ Next 48 Hours ?
1
Record a 3-minute Loom demo showing 5 real, non-trivial AE tasks (batch versioning, expression generation, layer manipulation) done end-to-end via prompt.
2
Install Adobe's official 'AI Assistant for After Effects' from Adobe Exchange and run 10 of your intended tasks to measure how much overlap already exists natively.
3
Draft and post one honest thread in r/AfterEffects asking working designers whether they'd pay $15/mo to prompt AE via an AI agent, and log every reply.
📅 30-Day Action Plan ?
W1
Week 1
Validate that the problem and product survive contact with real AE users and Adobe's native tooling before writing more code.
→ Post the Loom demo across r/AfterEffects, School of Motion Slack, and 2 Discords; track install attempts and daily-use intent (target: 20 genuine signals).
→ Benchmark Adobe's AI Assistant on your top-10 tasks and document exactly where it fails — that gap is your only possible wedge.
→ Run 50 realistic prompts through your current bridge and log the true success rate; if <70%, the value prop is not real yet.
W2
Week 2
If validation is weak (likely), pivot toward a focused, monetizable painkiller instead of a broad AI wrapper.
→ Interview 10 studio/freelance AE users about the single most painful repetitive task (batch render, template population, versioning) and its dollar cost.
→ Scope a narrow non-LLM or LLM-assisted automation for that ONE task, with a clear one-time or subscription price — validate against Dataclay/Automation Blocks pricing.
→ Test whether a broader code-native pipeline (Blender/FFmpeg MCP server) has a larger, more receptive developer audience than AE-only.
W3
Week 3
Ship the narrowest viable version of the chosen wedge (do NOT keep expanding the AE bridge).
→ Build the single-task painkiller as a signed binary or plugin and give it free to the 10 interviewed users.
→ Instrument usage: how many run it more than 3 times in the first week (real retention, not curiosity).
W4
Week 4
Decide: monetize the wedge or archive the project based on hard retention data.
→ Put up a $15/mo or one-time paywall for the wedge and measure actual conversion from the free cohort.
→ If under 3 paying users and retention below 40% week-over-week, archive the AE bridge and reallocate effort to a code-native creative pipeline where prose control genuinely fits.