Ye
Yet another (faster) way to discover events nearby
Hacker NewsYet another (faster) way to discover events nearby
Share cardActual performance
137points
78comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto51%51% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting14%14% 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, revenue14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Gy
Gymmr – Find nearby fitness events32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gymmr – Find nearby fitness events
Hacker News1Jo
Joiner - Discover people nearby that interest you.52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Joiner - Discover people nearby that interest you.
Hacker News1Su
Sudo – Find scavenger hunts nearby46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sudo – Find scavenger hunts nearby
Hacker News2Ri
RipBroker – Find Flats and Flatmates Nearby You52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RipBroker – Find Flats and Flatmates Nearby You
Hacker News1Wh
Whevent – Discover Events Around You Anywhere37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Whevent – Discover Events Around You Anywhere
Hacker News4Bl
Blix - Discover what's going on nearby, like parties and food trucks51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Blix - Discover what's going on nearby, like parties and food trucks
Hacker News8Pa
Parkbliss – Discover and Reserve Parking Nearby48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Parkbliss – Discover and Reserve Parking Nearby
Hacker News4Wh
What's Open Nearby?48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What's Open Nearby?
Hacker News1Be
Between You and Me (App) – Discover nearby locations44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Between You and Me (App) – Discover nearby locations
Hacker News1A
A web to see nearby TFL trains59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A web to see nearby TFL trains
Hacker News2