Jo
John Legere Listed as CEO of Salesforce
Hacker NewsJohn Legere Listed as CEO of Salesforce
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto83%83% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released42%42% 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, macos35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% 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, revenue16%16% 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, podcasting13%13% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
ET
ETscript – An experimental interpreter for Salesforce's AMPscript49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ETscript – An experimental interpreter for Salesforce's AMPscript
Hacker News2Salesforce Casts19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning Salesforce with Screencasts
Indie Hackerscommitment-full-timeSalesforce Consulting Services18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Salesforce Summit Partner
Indie HackersSalesforce CodeGen66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generate code out of salesforce object for easy integration
Indie Hackers1apisDo
Do you hate salesforce?46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Do you hate salesforce?
Hacker News4
Jotform Salesforce Agent63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Chatbot for Salesforce
Product Hunt+144ProductivitySalesforce Data Generator46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A mock data generator for your Salesforce org.
Indie Hackers1$99/mob2b
Salesforce Debugger - All In One51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Debug Salesforce code faster with intelligent browser tools
Product Hunt+8Ea
Easy webhooks for your SalesForce objects34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Easy webhooks for your SalesForce objects
Hacker News5Ea
Easy webhooks for your SalesForce objects34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Easy webhooks for your SalesForce objects
Hacker News2