ByteTrack
Indie HackersTrack recurring events
Goals aren't as important as habits, and habits form based on recurring events. You need to track your habits and everything else lines up!
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
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, personal42%42% 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, podcasting41%41% predicted probability of success on Indie Hackers, 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, intuitive38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: recurring · Missing: arr, mrr, revenue24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
GRUP49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Create recurring events, invite friends, keep track of RSVPs
Indie Hackerscommitment-full-timeRe
Recurring reviews to track the whole lifecycle of a product28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Recurring reviews to track the whole lifecycle of a product
Hacker News178So
Sometime – track recurring tasks in your daily life32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sometime – track recurring tasks in your daily life
Hacker News1Ub
Uber for Events54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Uber for Events
Hacker News10Th
The Tripadvisor of Hackathon Events32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Tripadvisor of Hackathon Events
Hacker News3We
Webhooks for Supervisor Events35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Webhooks for Supervisor Events
Hacker News1do
dom events for your WebGL56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
dom events for your WebGL
Hacker News1Cr
Crowdfunding for Events36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crowdfunding for Events
Hacker News2Re
Reserved Seating for Events30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reserved Seating for Events
Hacker News2Ev
Events in Florence (ITA and ENG)30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Events in Florence (ITA and ENG)
Hacker News1