Me
Meet the 12 Startups from the Techstars NYC Winter 2018 Program
Hacker NewsMeet the 12 Startups from the Techstars NYC Winter 2018 Program
Share cardActual performance
21points
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto80%80% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos44%44% 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, personal35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive30%30% 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, revenue23%23% 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, podcasting17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
5i
5in5NYC - 5 NYC startups, 5 minutes each.59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
5in5NYC - 5 NYC startups, 5 minutes each.
Hacker News11A
A curated literature program for K-1250%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A curated literature program for K-12
Hacker News1Ho
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 News1My
My first recursive program in x8665%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first recursive program in x86
Hacker News2I
I wrote a maze traversal program in Clojure63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I wrote a maze traversal program in Clojure
Hacker News91Pr
Program Microcontrollers from Your Headphone jack55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Program Microcontrollers from Your Headphone jack
Hacker News107