SceneStack
Privacy-first movie tracker with AI search, insights, and group sharing.
Tagline
Private movie tracking, with AI that knows your taste
Your private film database, not a social feed
Ask your watch history questions in plain English
Track movies privately. Share only what you choose.
The private, AI-powered alternative to Letterboxd for people who want more control over their movie history.
Letterboxd is the obvious mental model, and SceneStack’s privacy controls, export, imports, and AI features make this a sharper comparison than generic 'movie tracker' messaging.
A personal film database for your viewing history, not a public social network.
The product repeatedly emphasizes private/shared/open visibility, group sharing, and data ownership. That is a meaningful differentiator for users who don’t want their taste turned into content.
Track what you watched, then ask questions about your taste in plain English.
Natural-language search and AI recommendations are the most distinctive product mechanics. This frames SceneStack as a utility for answering concrete queries, not just logging titles.
Primary user
Film hobbyists and serious movie loggers who already track on Letterboxd or Trakt and want more private, data-rich organization
ICP #1
Letterboxd power user who logs every watch but hates the public social-feed feel
Pain
They want a serious archive of their viewing history, but don’t want every watch, rating, or note exposed publicly or mixed into a social platform built around performance and likes.
Why this solves
SceneStack gives them granular visibility controls on each watch plus export and private tracking, while still offering richer logging and AI analysis than a basic diary.
ICP #2
Couple or friend-group movie organizer who coordinates watch nights in chats and spreadsheets
Pain
They keep losing track of what the group has already watched, what everyone liked, and what to watch next, so recommendations are scattered across messages.
Why this solves
SceneStack’s private groups, shared watches, and ranked lists create a single source of truth for group viewing without forcing a public profile.
ICP #3
Data-minded film enthusiast who wants to mine their own taste patterns
Pain
They can remember favorite titles, but not the patterns in when they watched them, what kinds of films they rate highly, or how their taste has changed over time.
Why this solves
SceneStack’s AI insights, smart search, stats, and detailed watch metadata turn a movie diary into a queryable taste database.
Strengths
- +The value prop is immediately understandable: track, search, share, and get AI insights.
- +Privacy is not buried; it is front-and-center with explicit controls and export language.
- +The pricing is simple and anchored to a strong free-to-paid upgrade path.
Weaknesses
- −The page is still too feature-forward and not opinionated enough about why SceneStack exists versus Letterboxd or Trakt.
- −AI is described in generic terms; it needs concrete proof of output quality, example screenshots, or sample questions/results.
- −There is no sharp persona-specific messaging, so casual watchers and serious cinephiles are mixed together.
- −The roadmap includes a lot of 'coming soon' items, which weakens urgency for the current product.
- −The landing page does not showcase the actual product UI, so the experience feels abstract instead of tangible.
Fix these
- Add a head-to-head comparison section against Letterboxd and Trakt focused on privacy, AI search, group sharing, and exports.
- Show real examples of AI outputs: a sample insight, a sample smart search query, and the resulting response.
- Create separate homepage variants for 'private movie diary' and 'group movie tracking' use cases.
- Add screenshots or short UI clips of logging, group views, and AI search to make the product feel real.
- Move the roadmap lower and replace it with customer proof, sample use cases, or testimonials if available.
Drop-in replacement copy
Headline
Private movie tracking, with AI
Track, search, and share your watch history your way.
Keep every watch private by default
Log movies with ratings, notes, locations, and who you watched with. Choose per watch whether it stays private, goes to a group, or is open to everyone.
Ask your watch history questions
Search in plain English and get answers from your own history, not the web. Find films by season, mood, genre, person, or any note you wrote down.
Share movie nights without a public feed
Create private groups for partners, friends, or family. See what you watched together, build ranked lists, and stop repeating the same recommendations.
Import, export, and keep control
Bring in your Letterboxd or Trakt history in minutes, then export your data anytime. SceneStack is built around ownership, not lock-in.
FAQ
Why not just use Letterboxd or Trakt?
If you want a public social layer, those tools are great. If you want privacy, per-watch visibility, group sharing, and AI search over your own history, SceneStack is built for that.
Can I import my existing movie history?
Yes. You can import from Letterboxd or Trakt, so you do not have to start from zero.
What does the AI actually do?
It searches and summarizes your own watch history. You can ask things like what you watched last summer, which movies you liked most, or what films are similar to one you already logged.
Can I control who sees each watch?
Yes. Every entry can be private, shared with a group, or public. You decide at the watch level, not just account-wide.
Is my data exportable?
Yes. You can export your data anytime, because your watch history should stay yours.
Letterboxd is too public for me. SceneStack is a private movie tracker with AI search, insights, and group sharing. Log every watch, keep notes, import your history, and decide who sees what. Built for people who actually care about their watch history.
I built this for serious movie loggers. SceneStack lets you track movies privately, add notes and locations, and ask questions like: "show me sci-fi movies I watched last summer" Then share with a group, not the internet.
Still using spreadsheets for movie night? That was the gap. SceneStack keeps a shared watch history for couples and friend groups, plus ranked lists and visibility controls per watch. No more scrolling chat history to remember what you already saw.
The best movie apps ignore privacy. I wanted the opposite: log every watch, keep it private by default, and only share what matters. SceneStack has per-watch visibility, exports, imports from Letterboxd/Trakt, and AI that mines your own taste.
You watched 200 movies and still can’t answer simple questions about your own taste. SceneStack fixes that. Search your history in plain English, find patterns, and get recommendations from the movies you’ve actually logged.
Your movie history is scattered everywhere. Notes in Notes app. Ratings in Letterboxd. Watch nights in chats. Favorites in your head. SceneStack pulls it into one private place with export, lists, and group sharing.
SceneStack demo: "show me sci-fi movies I watched last summer" It searches your own watch history, not the internet. That’s the difference: your diary becomes a database.
AI should answer real movie questions. "movies like Tropic Thunder" "what did I rate highest in 2023?" "which films did I watch with Sam?" SceneStack is for people who want useful answers, not AI theater.
People keep asking for privacy. Not because they hate sharing. Because they don’t want every watch, rating, and note turned into public content. SceneStack gives them control, while still keeping the social parts for the right people.
The first users are power loggers. The ones importing from Letterboxd and Trakt. The ones who already know exactly how they want to log movies. The ones who hate losing their data. That’s the wedge.
Angle: private film diary
Most movie apps are built like public feeds. That’s the wrong product for serious film logging. SceneStack is a private movie tracker for people who want a real archive of what they watched, what they rated, who they watched with, and what they wrote down. Every watch can be private, shared with a group, or open. You can import from Letterboxd or Trakt. You can export anytime. The point is simple: own your history, don’t perform it. We also added AI search and insights, but only on your own data. Ask things like: - show me sci-fi movies I watched last summer - movies like Tropic Thunder - what do I rate highest over time? It’s a better fit for people who care about film as a record, not a feed.
Angle: group sharing
A lot of movie tracking tools assume you are tracking alone. But plenty of people actually watch movies with a partner, roommates, or a friend group. The problem is always the same: watch history gets lost in chats, recommendations get repeated, and nobody has a clean source of truth. SceneStack solves that with private groups, shared watches, and ranked lists. You can log who watched what, add notes, and keep the whole history organized without posting it publicly. That means: - no more repeating the same recommendations - no more scrolling old messages - no more spreadsheets for movie night It’s a small use case, but a real one. And products that solve real recurring problems tend to stick.
Angle: AI on personal data
I’m much more interested in AI that works on your own data than AI that tries to impress people. SceneStack uses AI to answer questions about your movie history. Not generic film trivia. Not internet search. Your actual watch log. That opens up useful queries: - What kinds of movies do I rate highest? - What did I watch last summer? - Which movies did I see with my friends? - What should I watch next based on my own history? That’s the product thesis: turn a diary into something queryable. If you’re building in this space, I think the bar is higher than “AI-powered.” The bar is: does it save someone time and surface something they already own?
No visuals for this kit yet.
Tagline
Private movie tracking with AI search
Description
Track movies privately, import your history, share with groups, and ask AI questions about your own taste. SceneStack turns your watch log into a searchable film database you control.
Maker's first comment
I built SceneStack because I kept hitting the same wall with movie tracking: the tools were either too public, too shallow, or both. I wanted a place to keep a serious film history without turning every watch into a social post. The biggest shift for me was treating my viewing history like a personal database instead of a feed. Once I did that, the useful questions became obvious: What did I watch last summer? Which sci-fi movies did I actually like? What have I seen with this group already? SceneStack is my answer to that problem. It supports private watches, group sharing, imports from Letterboxd and Trakt, exports, and AI search/insights on your own data. I’m especially interested in feedback from people who already log movies seriously or track films with friends and family.
Pinned maker comment
Would love feedback on two things: whether the privacy controls are clear enough at first glance, and whether the AI search examples feel genuinely useful rather than gimmicky.
Meta
Hypothesis: Letterboxd power users want privacy
SceneStack is a private movie tracker for serious loggers. Import from Letterboxd or Trakt, keep watches private or shared by group, and ask AI questions about your own history. If you want a film diary, not a public feed, this is for you.
Google Search
Private movie tracker with AI search
Track every movie you watch, import your history, and search it in plain English. SceneStack lets you keep watches private, share with groups, and export anytime. Built for people who want control over their film history.
Reddit Promoted
Hypothesis: movie loggers hate public feeds
I built a private movie tracker because I wanted a serious archive, not a social platform. SceneStack supports imports from Letterboxd/Trakt, per-watch visibility, group sharing, ranked lists, and AI search on your own watch history.
Subreddits
r/SideProject
Show the product and the problem: private movie tracking for people who hate public feeds
Rules: Read sidebar rules, include a real build story, do not spam links, keep self-promo limited and transparent
r/indiehackers
How I found a niche in movie logging and built around privacy plus AI search
Rules: No low-effort promo, focus on lessons and metrics, share process and honest specifics
r/microsaas
Tiny SaaS solving a very specific problem: private film tracking for power users
Rules: Stay relevant to software builders, avoid generic marketing, lead with product and niche
r/Letterboxd
For users who want a private alternative with imports and better organization
Rules: Check community self-promo tolerance first, be genuinely useful, don’t aggressively market
r/EntrepreneurRideAlong
Building and shipping a niche consumer app from scratch, with a movie-tracker angle
Rules: Post as a founder journey, keep it concrete, no hype-only posts
Communities
Post build notes, user interviews, and lessons from acquiring first movie-logging users; comment on relevant threads daily
Share the technical/product angle: privacy-first consumer app, AI on personal data, imports and export ownership
Movie tracking communities and Letterboxd circles
Find active Discords, Reddit threads, and creator groups where people already discuss logging, lists, and watch history
Cold outreach template
Hi {firstName} — saw you use {context} for movie tracking, and I’m building SceneStack for people who want private logs, imports, and AI search on their own watch history. If you’re open, I’d love to give you access and hear what feels missing. No pitch, just looking for honest feedback.
Product Hunt timing
Launch on a Tuesday or Wednesday after 5-10 days of pre-launch warming and direct user conversations, because you want enough early supporters to rank fast but still catch Product Hunt’s weekday traffic.
Indie Hackers post ideas
- 01I built a private movie tracker because Letterboxd felt too public
- 02How I’d find the first 50 users for a niche consumer app
- 03Turning personal watch history into a searchable database
Competitor alternatives
Current tone of voice
Clean, confident, and utility-first with light product enthusiasm; for example: 'Track movies you've watched. Go deeper with AI. Share what you love.'
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