In
Interviewing MIT Faculty about their personal lives
Hacker NewsInterviewing MIT Faculty about their personal lives
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos75%75% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto65%65% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting20%20% 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, revenue12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Fimo79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Where your website lives, collaborates, and evolves with AI.
Product Hunt+403Marketing
Persodex72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your personal CRM that lives on top of your iOS contacts.
Product Hunt+105iOSDiabetic & Me30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Read about the lives of diabetics.
Indie Hackers12$1,230/mocommunicationWh
What's Your Personal MRR?55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What's Your Personal MRR?
Hacker News2De
DevDucky – Your Personal Pair Programmer66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DevDucky – Your Personal Pair Programmer
Hacker News2Ac
Activium – A hotline to your personal nutritionist42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Activium – A hotline to your personal nutritionist
Hacker News1My
My personal OKR for 2021 (More to be added)49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My personal OKR for 2021 (More to be added)
Hacker News12Ve
Vertex, your personal archiver and annotator56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vertex, your personal archiver and annotator
Hacker News4Pe
Personal Brewlog44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Personal Brewlog
Hacker News1A
A personal cloudburster55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A personal cloudburster
Hacker News1