A

A simple database of EV real-world ranges with video reviews

Hacker News

A simple database of EV real-world ranges with video reviews

Share card

Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
79%79% 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.
AppSumoStrong fit for a featured deal · Strong signals: reviews · Missing: plus, platform, intuitive
68%68% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, 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
45%45% 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
41%41% 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
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

An
An EV Statistics Database40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An EV Statistics Database

Hacker News2
Pa
PagerDuty for the real world48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PagerDuty for the real world

Hacker News1
Otolectric.com
Otolectric.com34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

EV Database

Indie Hackerscommitment-full-time
I
I made Pokémon but with real animals in the real world62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made Pokémon but with real animals in the real world

Hacker News4
Tr
Trying out actioncable in a real world app37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trying out actioncable in a real world app

Hacker News1
gta5 mobilesite Ww
gta5 mobilesite Ww2%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

gta5 mobilesite Ev

Indie Hackerscommitment-full-time
Cr
Crowsnest – API for the Real World52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crowsnest – API for the Real World

Hacker News61
PharmaSafe
PharmaSafe52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pharmacovigilance analytics for exploring real-world adverse

Indie Hackers1education
Th
The Whicher: A/B test the Real World40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Whicher: A/B test the Real World

Hacker News20
NL
NLP algorithms for real-world sentiment analysis48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NLP algorithms for real-world sentiment analysis

Hacker News1