Vi

Video Series on System Design

Hacker News

Video Series on System Design

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
71%71% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
54%54% 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
35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
30%30% 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
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Li
Lisp in C Tutorial Series56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lisp in C Tutorial Series

Hacker News4
B.M.W
B.M.W15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

7is series BMW SUV

Indie Hackers
techshek
techshek39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Meetups Series

Indie Hackerscommitment-side-project
Je
Jekyll casts – a free video tutorial series for learning Jekyll37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jekyll casts – a free video tutorial series for learning Jekyll

Hacker News1
Ne
New Reinforcement Learning Video Series33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

New Reinforcement Learning Video Series

Hacker News11
De
Design Is Everything [video]36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Design Is Everything [video]

Hacker News1
I'
I'm starting an IoT hacking video series52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm starting an IoT hacking video series

Hacker News3
My
My first SaaS is also a YouTube series [video]33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first SaaS is also a YouTube series [video]

Hacker News3
Ha
Haphead, a concept trailer for a web series I produced42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Haphead, a concept trailer for a web series I produced

Hacker News1
Ni
Niu Lai Series Website26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Niu Lai Series Website

Hacker News1