Launch Intel
Ha

HastyPHP - Simple MVC with annoying user functions already there

Hacker News

HastyPHP - Simple MVC with annoying user functions already there

https://github.com/vail130/HastyPHP This is my first GitHub Repo/Open Source project, so I would love any feedback anyone would like to share. The README explains the main reason I put this out there, but I'll reiterate what I think are the most helpful use-cases here: You hate doing the following: - Creating Sign In/Register forms - Creating Forgot/Reset/Change Password systems - Creating HTML email templates, because TABLE, TBODY, TR and TD suck - Setting up Bcrypt, jsmin, cssmin, META tags, and mod_rewrite for the millionth time You want to do the following: - Just work on the freaking project! Thanks in advance!

Visit productView on Hacker NewsJun 10, 2012
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, open · 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
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released
63%63% 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 · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% 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
13%13% 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

Be
Be My First User27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Be My First User

Hacker News3
Mo
Moshimoshi, Gravatar for user bios51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Moshimoshi, Gravatar for user bios

Hacker News2
Se
SessionForward – Simple user session replays and heatmaps42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SessionForward – Simple user session replays and heatmaps

Hacker News47
Jw
Jwt-user-service – a simple user authentication microservice61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jwt-user-service – a simple user authentication microservice

Hacker News3
Da
Damn Simple Carpooling44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Damn Simple Carpooling

Hacker News53
si
simple dependencies in CoffeeScript.52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

simple dependencies in CoffeeScript.

Hacker News4
Pt
Ptrfy, simple textbook digitization44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ptrfy, simple textbook digitization

Hacker News2
Di
Discovering and Comparing Gadgets Made Simple39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discovering and Comparing Gadgets Made Simple

Hacker News1
Da
Daodalus - MongoDB querying & aggregation made simple (Ruby)40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Daodalus - MongoDB querying & aggregation made simple (Ruby)

Hacker News3
Si
Simple Webworkers44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Webworkers

Hacker News2
Browse all productsAnalyze your launch