I

I built a crowdsourced Covid-19 directory in 13 hours and streamed it

Hacker News

I built a crowdsourced Covid-19 directory in 13 hours and streamed it

Share card

Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, 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 · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
24%24% predicted probability of success on TrustMRR, 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
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Py
PyMiniRacer 0.13.041%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PyMiniRacer 0.13.0

Hacker News1
13
13,000 Users in 2 hours - TalentMash63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

13,000 Users in 2 hours - TalentMash

Hacker News3
I'
I'm 13 and This is My First App36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm 13 and This is My First App

Hacker News16
Bu
Built a waifu AI generator in 4 hours36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Built a waifu AI generator in 4 hours

Hacker News1
Ar
ArkScript language 3.0.13 is out51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ArkScript language 3.0.13 is out

Hacker News1
6.
6.5 hours of Ember Screencasts48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

6.5 hours of Ember Screencasts

Hacker News7
Di
Directory of Breeding Birds in Puerto Rico36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Directory of Breeding Birds in Puerto Rico

Hacker News1
Di
Directory of NextJS Starters and Boilerplates35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Directory of NextJS Starters and Boilerplates

Hacker News2
I
I made a directory of directories (seriously)36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a directory of directories (seriously)

Hacker News5
Di
Directory of mashups36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Directory of mashups

Hacker News2