Real-Time NYC Building Violation
Product HuntGet notified about NYC building violations
Share cardActual performance
7upvotes
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto23%23% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting10%10% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ho
How Many NYC Subway Stations Have You Visited?57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How Many NYC Subway Stations Have You Visited?
Hacker News1Su
Subhattan – From NYC to the Suburbs57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Subhattan – From NYC to the Suburbs
Hacker News1Al
All the McDonalds, Starbucks, and Dunkin Donuts in NYC, mapped57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All the McDonalds, Starbucks, and Dunkin Donuts in NYC, mapped
Hacker News1TheONE.nyc4%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Are you TheONE?
Indie Hackerscommitment-side-projectAm
AmpedNYC, find free CitiBikes in NYC58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AmpedNYC, find free CitiBikes in NYC
Hacker News1NY
NYC MapTap – Learn NYC neighborhoods61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NYC MapTap – Learn NYC neighborhoods
Hacker News18Hi
Hikket – Real-time index of localized, eclectic data for NYC56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hikket – Real-time index of localized, eclectic data for NYC
Hacker News7RentRadar NYC6%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NYC Landlord Violation Lookup
Indie Hackerscommitment-side-projectStudio Smiles NYC6%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Studio Smiles NYC
Indie HackersGe
Get Maid - Uber for Maid Service in NYC70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get Maid - Uber for Maid Service in NYC
Hacker News35