Supportexamples
Indie HackersA collection of support replies for different scenarios.
I got inspired by @harrydry 's Marketingexamples and felt a site like that needed for customer support people. This site is dedicated to customer support heroes to share and learn from each other :)
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting51%51% predicted probability of success on Indie Hackers, 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, macos50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit15%15% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Co
CoinMarketBook – CoinMarketCap, but with a different metric48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CoinMarketBook – CoinMarketCap, but with a different metric
Hacker News46Di
Different Dimension Me40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Different Dimension Me
Hacker News1Ki
Kishi, a different approach to spaced repetition system64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Kishi, a different approach to spaced repetition system
Hacker News3Pl
Plotting thinkpad temperature with different kernels40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Plotting thinkpad temperature with different kernels
Hacker News2Craete53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Craete Different
TrustMRR4$69/moArtificial IntelligenceConvortAI60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automate WhatsApp replies, orders, and support
Indie Hackers1$1,000/moaiPi
Pictureddit – different subreddits different photos59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pictureddit – different subreddits different photos
Hacker News2Pi
Pictureddit – different subreddits different photos59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pictureddit – different subreddits different photos
Hacker News29Co
Collection of visualizations for IPython51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Collection of visualizations for IPython
Hacker News5Th
The Lightest - a collection40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Lightest - a collection
Hacker News2