Getfkd

Getfkd

Indie Hackers

Adults-only dating: swipe, match, meet tonight

Adults asked for honest dating: swipe, match, date, chat, then hook up if both want. Optional Get Fk’d nearby is off by default. 18+ fail-closed. In development.

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
58%58% predicted probability of success on Hacker News, 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
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
32%32% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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
16%16% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Crave
Crave30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

More than dating - meet people who match your vibe

Indie Hackerscommitment-full-time
Logflix
Logflix70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Match what to watch together, you swipe, they swipe -> match

Indie Hackerscommitment-side-project
22
2222 is a 2048 like swipe to match game45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

2222 is a 2048 like swipe to match game

Hacker News1
Hirly
Hirly36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Swipe. Match. Get hired.

Indie Hackerscommitment-full-time
Baeyond Dating
Baeyond Dating30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Swipe Less, Feel More. Free Dating Redefined.

Indie Hackers1$3,000/mocommunity
Pitch Swipe
Pitch Swipe47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Swipe. Match. Make Movies.

Indie Hackers1entertainment
Ro
Robin – Swipe-based games to meet and matchmake56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Robin – Swipe-based games to meet and matchmake

Hacker News7
The One
The One37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-powered dating for your perfect match

Indie Hackers1ai
The Match Artist
The Match Artist81%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Online Dating Photography

Indie Hackers22$100,000/mophotography
Da
Dating turned upside down - Tomonotomo61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dating turned upside down - Tomonotomo

Hacker News40