Micro Triggers
Indie HackersLightweight cart-recovery triggers for Shopify
Most cart-recovery apps I tried were either bloated page builders or had aggressive page-view caps on the free tier. I wanted something focused: a handful of lightweight on-site triggers (exit-intent, low-stock, free-shi
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting41%41% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apps · Missing: mac, agents, macos20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue20%20% 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, crypto14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
SkinDetekt28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find Your Cosmetic Allergy Triggers
Product Hunt+3Bu
Build your own Triggers for OpenFaaS functions48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build your own Triggers for OpenFaaS functions
Hacker News4Do
Do-It-Yourself Twitter Triggers for IFTTT54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Do-It-Yourself Twitter Triggers for IFTTT
Hacker News2Ge
Generic IoT platform with triggers and visualization54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generic IoT platform with triggers and visualization
Hacker News1Id
Identify triggers that ease or worsen your tinnitus54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Identify triggers that ease or worsen your tinnitus
Hacker News4My
MyPgTriggers –added Postgres TRIGGERS to MySQL, with BEFORE edit/undo57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MyPgTriggers –added Postgres TRIGGERS to MySQL, with BEFORE edit/undo
Hacker News3Co
Community curated film triggers52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Community curated film triggers
Hacker News1handshake44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lightweight micro-agreements for freelancers, loans etc
Indie Hackers1aiRosaceaTrack52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rosacea tracker app that finds your triggers
Indie Hackers1health-fitnessReelCalm71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A community app for identifying emotional triggers in movies
Indie Hackerscommitment-side-project