Cluedrop
Indie HackersMaking product onboarding personal with video
When building stuff for clients they kept asking me to write documentation to help users understand onboarding, new features, etc. Users didn't enjoy the experience and neither did I. There had to be a better way.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new · Missing: mac, agents, macos82%82% 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.
TrustMRRFits verified-revenue profile · Strong signals: personal, video, users · Missing: mobile apps, ios, entrepreneurs62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive48%48% 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, revenue17%17% 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, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Do
Donut for Onboarding55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Donut for Onboarding
Hacker News3Eyelet33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No code product onboarding tool
Indie HackersProduct Fruits62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Onboarding and feedback tools
Indie Hackers2analyticsPr
Productonboarding.com – Mobbin for SaaS product onboarding70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Productonboarding.com – Mobbin for SaaS product onboarding
Hacker News30Ma
Making explainability algorithms more robust with GANs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making explainability algorithms more robust with GANs
Hacker News2Ma
Making a Cypherpunk Loot Derivative52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making a Cypherpunk Loot Derivative
Hacker News4Ma
Making your standups more joyful with Zest52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making your standups more joyful with Zest
Hacker News4My
My Q&A with Neal Stephenson on making the Metaverse himself52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Q&A with Neal Stephenson on making the Metaverse himself
Hacker News5Ma
Making IBANs More Memorable52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making IBANs More Memorable
Hacker News2Ma
Making of an HTML5 cube timelapse64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making of an HTML5 cube timelapse
Hacker News4