A

A curated directory of AI affiliate programs, updated monthly

Hacker News

A curated directory of AI affiliate programs, updated monthly

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
82%82% predicted probability of success on BetaList, 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, podcasting
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, monthly · Missing: mobile apps, ios, personal
26%26% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
22%22% 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, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
11%11% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

A
A clean directory of affiliate programs21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A clean directory of affiliate programs

Hacker News1
Af
Affiliate Programs34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Affiliate Programs

Hacker News1
Afflemi
Afflemi65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The affiliate marketing directory. Programs, networks, etc.

Indie Hackerscommitment-full-time
FuturisticAI
FuturisticAI42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A curated directory of AI tools & agents, updated daily.

Indie Hackerscommitment-full-time
BUPZ
BUPZ25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Curated Directory

Indie Hackers
TapRefer
TapRefer50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find affiliate programs to monitize your content, fast.

Indie Hackerscommitment-side-project
AffiliList
AffiliList58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The #1 place to find the best affiliate programs

Indie Hackers1marketing
AffiliList
AffiliList38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The #1 place to find the best affiliate programs.

TrustMRRMarketing
AffTable
AffTable45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the best affiliate programs related to SaaS

Indie Hackers1community
AffiliateTor
AffiliateTor59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find affiliate programs. Get discovered.

Indie Hackers1advertising