Client Onboarding Kit
Indie HackersOnboard social media clients in 10 minutes
Freelance social media managers (myself included) lose time and look unorganized onboarding new clients — scattered DMs, forgotten details, no real process. I built the Client Onboarding Kit to fix that.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos48%48% 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, podcasting43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue24%24% 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, crypto7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
ApprovePost38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Simple client approval for social media content
Indie Hackers1$12/mob2bYo
Your Social Media Fingerprint (maybe NSFW)39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your Social Media Fingerprint (maybe NSFW)
Hacker News911FA
FAQ Off – Mitigate Mob Harassment on Social Media34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FAQ Off – Mitigate Mob Harassment on Social Media
Hacker News1So
Social Media Defaults for Mindfulness32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Social Media Defaults for Mindfulness
Hacker News1Co
Combat social media addiciton with foreign wikipedias38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Combat social media addiciton with foreign wikipedias
Hacker News1Ve
Vers – Social Media as It Should Be32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vers – Social Media as It Should Be
Hacker News1Th
This is what social media could be41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
This is what social media could be
Hacker News123Un
Unbundling Microlearning from Social Media26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Unbundling Microlearning from Social Media
Hacker News2Publer34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your Social Media Superhero
Indie Hackers33$400,000/mob2b
Mizo49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Social Media Handled
Product Hunt+1