My

My first Rails app: Movie Tell

Hacker News

My first Rails app: Movie Tell

So I finally completed my first Rails app. As it's my first app, I know I've got some things wrong here or there and I could use some advice from more experienced Rails developers. You can find the app here: https://github.com/danieljaouen/movie_tell And the associated site here: https://movie-tell.com I built the site so that I could easily share movie recommendations with friends. As it stands, a standard workflow would look something like: - sign up to the site - search users for a friend or family member's email address - "friend" that user (the user also needs to "friend" you back once they've received your friend request) - search for a movie you want to share (courtesy of Rotten Tomatoes' API) - click on the movie's "detail" page - check the friends you want to recommend the movie to, then click "submit" One thing I should note here is that my front-end skills are practically nonexistent, so though I appreciate any and all feedback, please try to stick to the critiquing the backend code if possible. Thanks!

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, code · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, io · Missing: https docs, excited, just released
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

My
My bootstrapped sideproject app, Movie Trailers and Showtimes49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My bootstrapped sideproject app, Movie Trailers and Showtimes

Hacker News18
Te
Tell Me What to Do62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tell Me What to Do

Hacker News9
Kitch.
Kitch.23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tell Kitch.

Indie Hackers1advertising
A
A heuristic for movie influences49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A heuristic for movie influences

Hacker News2
IM
IMDb Movie Streamer51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

IMDb Movie Streamer

Hacker News6
Or
OracleMovies, OpenSea for Movie Rights51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OracleMovies, OpenSea for Movie Rights

Hacker News3
Th
TheReelBox, find tonight's movie51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TheReelBox, find tonight's movie

Hacker News81
Cl
Clipzy – Dialogue grep for any show or movie49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Clipzy – Dialogue grep for any show or movie

Hacker News1
Bonetflix
Bonetflix46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Movie and Show ratings on Netflix

Indie Hackers1entertainment
AiMovieFinder
AiMovieFinder24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find a movie by describing it

Product Hunt+7