Ph

Physical Cassette Tapes from MP3s. Static brutal site with no back end

Hacker News

Physical Cassette Tapes from MP3s. Static brutal site with no back end

I had a silly idea for awhile, making actual cassette mixtapes from MP3s. I thought it was a bit obscene, and it amused me. So I built a static site with Cactus then plugged in a Jotform that handles media uploads and payments. Designwise I opted for mid 90s brutalism, down to midi music (on desktop it starts playing smoke on the water) you can check it out at 420verload.com

Share card

Actual performance

5points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: physical · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Ho
How we static site66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How we static site

Hacker News5
Co
Couchback – A back end for static apps on CouchDB69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Couchback – A back end for static apps on CouchDB

Hacker News5
Th
The static, static site generator59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The static, static site generator

Hacker News187
A
A static site generator in less than 700 LOC63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A static site generator in less than 700 LOC

Hacker News2
Wi
Wintersmith 2.0 - static site generator58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wintersmith 2.0 - static site generator

Hacker News1
Ha
Halwa - A Static Site Generator58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Halwa - A Static Site Generator

Hacker News2
Me
Metalsmith – A pluggable static site generator58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Metalsmith – A pluggable static site generator

Hacker News174
Sq
Squirrel - Another Static Site Generator58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Squirrel - Another Static Site Generator

Hacker News1
Re
Reem, a rambunctious static site generator58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reem, a rambunctious static site generator

Hacker News1
It
Itsy-bitsy static site generator58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Itsy-bitsy static site generator

Hacker News8