Le
Learn why your users leave
Hacker NewsLearn why your users leave
Hey Simon, co-founder here. Would love some product feedback - especially first impressions and any concerns that come up..
Share cardActual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released30%30% 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 · Strong signals: users · Missing: plus, platform, intuitive25%25% 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, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ga
Gara, the chatroom that leave nothing behind32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gara, the chatroom that leave nothing behind
Hacker News2He
Helps users leave multiple subreddits at once46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Helps users leave multiple subreddits at once
Hacker News1Le
Learn from your users effortlessly59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn from your users effortlessly
Hacker News3nstop18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Know when to leave, not when trains depart
Indie Hackers1aiWhyGoAI46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI session recordings that tell you why users leave
Indie Hackerscommitment-full-timeOn
Onboard your users through fancy introductions51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Onboard your users through fancy introductions
Hacker News1Q&
Q&A for HN users55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Q&A for HN users
Hacker News142Pr
Pretender - See what your users see50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pretender - See what your users see
Hacker News18Ac
AccessMap – illustrate obstacles for wheelchair users in Seattle50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AccessMap – illustrate obstacles for wheelchair users in Seattle
Hacker News3Un
Unifying Identities of Users50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Unifying Identities of Users
Hacker News3