SceneStack
Privacy-first movie tracking with AI search, insights, and group sharing.
Tagline
Your private movie brain
The private Letterboxd alternative
Ask your watch history anything
Shared movie memory for small groups
The private Letterboxd alternative for people who want to track films without broadcasting their taste.
The strongest differentiator on the page is visibility control per watch, plus GDPR/export language. That is a direct contrast to public-first movie tracking tools and a clean wedge for users who value privacy over social clout.
A movie tracker that you can actually ask questions of.
Natural-language search and AI insights are not just gimmicks here; they turn a watch history into a queryable database. That is a sharper promise than "track your movies" because it reduces the main pain of old logs: they become unusable over time.
The personal film memory layer for couples, families, and friend groups.
Group sharing, who-you-watched-with metadata, and private shared groups make this more useful than a solo tracker. This angle positions SceneStack as a shared reference point for household and friend-group viewing rather than a public social network.
Primary user
Film obsessives who already track movies in Letterboxd or Trakt and want private, searchable, AI-assisted personal viewing history
ICP #1
Letterboxd power user frustrated by public-first social visibility
Pain
They like logging everything but do not want their entire watch history, ratings, and notes exposed to everyone or tied to a social-performance layer.
Why this solves
SceneStack gives per-watch visibility controls, private groups, and data export, so the user keeps the habit of tracking without the social baggage of Letterboxd.
ICP #2
Movie night coordinator in a couple or small friend group
Pain
They keep asking "What did we watch last month?" and lose recommendations across texts, notes apps, and scattered streaming watchlists.
Why this solves
SceneStack stores who you watched with, supports private groups, and can answer natural-language queries like "show me sci-fi movies I watched last summer," making shared memory searchable instead of buried.
ICP #3
Cinephile who reviews and catalogs films with ratings and notes
Pain
They want to revisit their own taste patterns, compare films against prior watches, and discover themes in their viewing history without manually sorting spreadsheets or scrolling endless lists.
Why this solves
SceneStack combines structured watch metadata with AI insights and AI recommendations, turning a static log into something that can surface patterns, comparisons, and next-watch suggestions.
Strengths
- +The privacy-first promise is concrete and differentiated, especially the per-watch visibility control.
- +The page clearly explains the product through recognizable movie-tracking actions: log, search, share, list, export.
- +The pricing is simple and low-friction, with a free tier that makes signup feel safe.
Weaknesses
- −The hero copy is broad and sounds like every other AI wrapper until you read the feature list.
- −It underplays the emotional payoff; there is no strong story for why a user would switch from Letterboxd or Trakt today.
- −AI Insights, Smart Search, and AI Recommendations are described, but there is no screenshot or example output to make them feel real.
- −The page feels feature-complete but not identity-complete; it does not clearly say who SceneStack is for first.
- −The roadmap is interesting but slightly distracting because it reveals unfinished areas before the core value is fully nailed.
Fix these
- Rewrite the hero around the privacy angle or the Letterboxd alternative angle, not generic "Go deeper with AI."
- Add side-by-side examples of actual AI outputs, especially a natural-language search result and a personalised insight.
- Create a dedicated switcher section: import from Letterboxd/Trakt, preserve history, and gain privacy plus AI.
- Show a group use case with screenshots: couple, friend group, or family watch history with shared recommendations.
- Make the export/privacy story more prominent for trust-sensitive users and include a simple security explanation.
Drop-in replacement copy
Headline
Private movie tracking, finally
Log films, ask your history, share only what you want.
Choose privacy per watch
Every entry can be private, shared with a group, or public. You control what gets seen, so logging never has to feel like performing.
Ask your watch history anything
Search in plain English for things like “movies like Tropic Thunder” or “what did I watch with Sam last summer?” The app turns your log into answers.
Import without starting over
Bring your history over from Letterboxd or Trakt in a few clicks. Export anytime, because your data should stay yours.
Make shared watching searchable
Track who you watched with, then use private groups for couples or friend groups. It’s a better memory layer for movies you watched together.
FAQ
Can I keep everything private?
Yes. Every watch can be private by default, or shared with a group, or made public if you want.
Can I import from Letterboxd or Trakt?
Yes. You can import your existing history so you don’t start from zero.
What does the AI actually do?
It helps with search, insights, and recommendations. You can ask questions about your own watch history instead of scrolling endless lists.
Is this for couples and friend groups too?
Yes. SceneStack supports private groups and tracks who you watched with, so shared viewing becomes easy to look up later.
Can I export my data?
Yes. Export is available anytime, because your watch history should not be locked in.
SceneStack is for people who track movies but don’t want a public feed. Log ratings, notes, who you watched with, and choose private / group / public per entry. Then ask your history questions like: “show me sci-fi movies I watched last summer.”
I built a movie tracker that remembers more than titles. SceneStack logs ratings, notes, locations, and who you watched with. And when you forget what you watched, you can just ask it. Privacy first. Export anytime. No social theater.
I thought the main feature was logging movies. Wrong. The thing people keep using is natural-language search across their watch history. “Movies like Tropic Thunder” “Everything I watched with Sam last winter” “Good thrillers I rated 4+”
A movie log sounds harmless until you realize it contains taste, habits, dates, people, and places. So every SceneStack watch has its own visibility setting: private, group, or public. That one choice changes the whole product.
Most people’s watch history lives in texts, notes, streaming apps, and half-finished Letterboxd logs. Then they ask: what did we watch last month? SceneStack turns that mess into something searchable.
A lot of film people don’t stop logging because they’re lazy. They stop because they don’t want every rating, note, and weird guilty pleasure tied to a public profile. Private by default fixes that.
Type: “movies like The Nice Guys but darker” SceneStack returns recommendations based on your watch history and what you already liked. Not a generic list. Not SEO sludge. Just a better answer because it knows your taste.
SceneStack can compare a film against your own past watches. That means you can see patterns like: - you always rate slow-burn thrillers higher - you rewatch comedies with the same people - you hate movies everyone else calls “must-watch”
The shared watch history is hitting with couples and small friend groups. Because the real problem isn’t logging. It’s remembering what you watched together, what you both liked, and what to watch next.
The biggest objection to switching movie trackers is obvious: “I don’t want to start from zero.” So SceneStack imports from Letterboxd or Trakt, and you can export anytime. People switch faster when they know their data isn’t trapped.
Angle: privacy-first alternative
Most movie tracking apps assume you want a public profile. A lot of people don’t. They want to log every film, keep notes, track who they watched with, and maybe share a few entries with a partner or group. SceneStack is built for that. Every watch can be private, shared with a group, or public. That matters more than it sounds, because it changes who can use the product in the first place. The other shift is AI search. Instead of scrolling forever through a watch history, you can ask questions like: - what did I watch with Sam last summer? - movies like Tropic Thunder - good thrillers I rated 4+ We also support import from Letterboxd and Trakt, plus export anytime. If you care about taste, memory, and privacy, that combo is the point.
Angle: movie memory layer
A good movie tracker should behave less like a diary and more like a memory system. SceneStack stores the obvious stuff: title, rating, note. But it also stores the useful stuff people actually forget: - who you watched with - where you watched it - whether it should stay private - whether it belongs in a shared group That turns a watch log into something searchable. The questions people ask are never “what is my entire list?” They’re things like: - what were those sci-fi movies from last summer? - what did my partner and I both love? - what should I watch if I liked this one? That’s why we built natural-language search and AI insights on top of the log. The app is simple. The memory gets better over time. That’s the product.
Angle: switcher from Letterboxd
If you already use Letterboxd or Trakt, the main reason to switch is not more features. It’s control. SceneStack keeps the habit of tracking movies, but removes the public-first assumption. You decide whether each watch is private, group-shared, or public. Then we add things your old log never did well: - import your history - ask questions in plain English - get recommendations based on what you actually watched - export everything anytime I think a lot of people have outgrown the “public taste profile” phase. They still want the record. They just don’t want the performance. That’s the wedge.
No visuals for this kit yet.
Tagline
Private movie tracking with AI search
Description
Log movies privately or share with a group. Ask your watch history questions in plain English, get AI insights and recommendations, and import from Letterboxd or Trakt.
Maker's first comment
I built SceneStack because I kept losing track of what I had watched, who I watched it with, and what I actually thought about it. Existing apps were either too public, too social, or too annoying to query later, so the log stopped being useful. SceneStack started as a simple private tracker, then the AI layer made it feel much more like a memory tool. The first time I asked it “movies like Tropic Thunder” and got a useful answer based on my own history, I knew the product had a real angle. I’d love feedback from people who already use Letterboxd, Trakt, or a movie notes system. Does the privacy angle matter enough to switch? And which AI output feels most useful: search, insights, or recommendations?
Pinned maker comment
Looking for feedback on the positioning: private-first tracker, searchable movie memory, or shared group log?
Meta
Stop losing what you watched last month.
Hypothesis: movie watchers will convert if the ad shows one clear pain — forgetting past watches — and one clear fix — searchable private history. SceneStack logs ratings, notes, who you watched with, and lets you ask questions like “movies like Tropic Thunder.” Private by default. Import from Letterboxd or Trakt.
Google Search
Private Letterboxd alternative
Hypothesis: high-intent users searching for Letterboxd alternatives want privacy and import support, not another social feed. SceneStack lets you log movies privately, share with a group, search your watch history in plain English, and export anytime.
Reddit Promoted
I built this for people who hate public taste profiles.
Hypothesis: Reddit movie trackers will respond to a privacy-first angle plus a concrete use case: “what did we watch last summer?” SceneStack stores ratings, notes, who you watched with, and supports private/group/public per entry. It also imports from Letterboxd and Trakt.
Subreddits
r/SideProject
Show the product, the privacy wedge, and a before/after of searching a watch history
Rules: No spam, show what you built, be transparent that it’s your project, and engage in comments.
r/indiehackers
How importing Letterboxd/Trakt users exposed the real pain: public-first movie logs
Rules: Founder story first, concrete metrics welcome, avoid obvious self-promo tone.
r/microsaas
Niche SaaS for film obsessives: privacy controls + AI search
Rules: Keep it product-specific, share screenshots, ask for feedback instead of pushing a sale.
r/EntrepreneurRideAlong
Build in public: launching a movie tracker with a real switching wedge
Rules: Be honest, document progress, don’t overdo marketing language.
r/letterboxd
Position as a private alternative for people who like logging but not broadcasting everything
Rules: Read community norms carefully, lead with usefulness, and avoid attacking Letterboxd.
Communities
Post a short founder story, then reply to every comment with specifics on privacy, imports, and AI search.
Comment on similar launches, then DM makers of consumer tools with a concise swap story and ask for feedback.
Letterboxd Discord communities
Join as a user first, share screenshots of the private/group sharing flow, and ask what would make them switch.
Reddit film discussion communities
Contribute useful replies on watch tracking, list curation, and recommendations before posting the product.
Cold outreach template
Hey {firstName} — saw you’re a heavy Letterboxd/Trakt user and thought of SceneStack because it fixes the public-first problem. It lets you keep your movie history private, share with a group, and ask questions like “what did I watch with Sam last summer?” If you want, I can send you a 30-second demo and you can tell me if it’s actually useful.
Product Hunt timing
Launch Tuesday or Wednesday at 12:01am PST, then stay active in comments for the full day. Consumer tools with a privacy angle do better when the maker can answer objections fast and push the import/export trust story all day.
Indie Hackers post ideas
- 01I built a private Letterboxd alternative because public-first tracking annoyed me
- 02Why natural-language search was the feature people actually used
- 03How import from Letterboxd/Trakt lowered switching friction for a movie tracker
Competitor alternatives
Current tone of voice
Clean, direct, and product-led with a privacy angle; the copy is explicit and practical, e.g. "No credit card required," "You Control Visibility," and "Ask questions like 'Show me sci-fi movies I watched last summer'."
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