ul

ulisesrmzroche.github.io | marketing page

Hacker News

ulisesrmzroche.github.io | marketing page

http://ulisesrmzroche.github.io Hi ya'll, I just shipped the MVP of the marketing page for a web dev consulting business I'm trying to start up. Would greatly appreciate any/all feedback before I start work on v2. Thanks for your time!

Share card

Actual performance

1points
8comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
72%72% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
39%39% 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
36%36% 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
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
28%28% 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
22%22% 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
15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Li
Linkas.io – discussion on any page76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Linkas.io – discussion on any page

Hacker News7
Gi
GitHub starred page57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub starred page

Hacker News16
My
My Marketing Page Before and After51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Marketing Page Before and After

Hacker News2
Ha
HackerSearch.io – GitHub search that supports RegExp62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HackerSearch.io – GitHub search that supports RegExp

Hacker News9
Ti
Tinypress, post to your Github page on the go44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tinypress, post to your Github page on the go

Hacker News1
Ta
Taiga.io + GitHub = Love?68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Taiga.io + GitHub = Love?

Hacker News14
Al
All my GitHub Issues on one page66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All my GitHub Issues on one page

Hacker News1
WordByWord.io
WordByWord.io44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your Vocabulary on Every page

Indie Hackers1ai
Li
Linkas.io – Comment on any page55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Linkas.io – Comment on any page

Hacker News3
Se
Serverless OAuth on a Github page67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Serverless OAuth on a Github page

Hacker News37