Dad Reply

Dad Reply

Product Hunt

Auto-respond with a ๐Ÿ‘ - Minimal effort - Maximum ambiguity

Share card

Actual performance

404upvotes
80comments
Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

Analyze your own launch โ†’
TrustMRRLess likely to generate early MRR ยท Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience ยท Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard ยท Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers ยท Missing: web3, chat, crypto
42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal ยท Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue ยท Missing: supports, reddit linkedin, podcasting
27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience ยท Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Enql
Enql39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Durable execution with minimal effort

Product Hunt+6
LI
LIME - Lisp Implementation with Moderate Effort69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LIME - Lisp Implementation with Moderate Effort

Hacker News3
HN
HN Reply Notifier60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN Reply Notifier

Hacker News2
Je
Jelly โ€“ Experimental minimal RPC21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jelly โ€“ Experimental minimal RPC

Hacker News2
Mi
Minimal Fibers47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Minimal Fibers

Hacker News53
A
A minimal TodoMVC in Brutal47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A minimal TodoMVC in Brutal

Hacker News1
An
Another Minimal Stylesheet47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Another Minimal Stylesheet

Hacker News1
Mi
MiniForth โ€“ A Minimal Forth54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MiniForth โ€“ A Minimal Forth

Hacker News6
Mo
Momentous โ€“ a minimal datepicker for bootstrap49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Momentous โ€“ a minimal datepicker for bootstrap

Hacker News1
Mi
Minimal Meteor Scaffolding59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Minimal Meteor Scaffolding

Hacker News1