My

My first full stack project

Hacker News

My first full stack project

Just finished my second year at college studying Computer Science, and wanted to try and gain experience as a full stack dev this summer, so I made a website that allows users to create stories using openai's API, using embeddings for custom terms users can define, and create short stories and chapters alike. I'm mainly just looking for some feedback on how I can improve it or make it more presentable, so any help/feedback is welcome and appreciated!

Share card

Actual performance

36points
27comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, computer, openai · Missing: mac, agents, macos
90%90% 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
72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
10%10% 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

St
Stack Your Project57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stack Your Project

Hacker News2
My
My first "full-stack" project, Cinematic57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first "full-stack" project, Cinematic

Hacker News3
A
A full-stack GraphQL starter project59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A full-stack GraphQL starter project

Hacker News4
My
My Preferred Full Stack Starter Project47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Preferred Full Stack Starter Project

Hacker News1
Ou
Our Stack54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Our Stack

Hacker News5
Ar
Arrived – Stack Overflow for US Immigration52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Arrived – Stack Overflow for US Immigration

Hacker News244
Th
The OP Stack54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The OP Stack

Hacker News4
Jellylink
Jellylink54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Understand your software stack across every project

Product Hunt+1
My
My afternoon project, Clustergram55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My afternoon project, Clustergram

Hacker News1
Pr
Project Maya72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Project Maya

Hacker News88