Fa

Facebook app that gives unfriend suggestions based on interactions

Hacker News

Facebook app that gives unfriend suggestions based on interactions

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% 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
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, 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, macos
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Si
Simple Facebook interactions predictor49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Facebook interactions predictor

Hacker News1
Su
Subreddit suggestions based on your subscriptions30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Subreddit suggestions based on your subscriptions

Hacker News1
WH
WHOIS for Facebook44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WHOIS for Facebook

Hacker News1
Fa
Facebook + Moustaches = Facetache44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Facebook + Moustaches = Facetache

Hacker News10
Fa
Facebook stockvalue (prettified)44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Facebook stockvalue (prettified)

Hacker News26
Bo
BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.

Hacker News1
ch
checkins from Facebook44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

checkins from Facebook

Hacker News2
Sh
Shoeboxify is your shoebox for Facebook44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shoeboxify is your shoebox for Facebook

Hacker News22
Fa
Facebook Bootstrap45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Facebook Bootstrap

Hacker News2
Facebook
Facebook41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I founded facebook in july 2018

TrustMRRSocial Media