Go
Google Pinguin 2.0: First Signals visible
Hacker NewsGoogle Pinguin 2.0: First Signals visible
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto87%87% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal51%51% 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 released33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%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, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Em
Embit – Signals from Technosphere20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Embit – Signals from Technosphere
Hacker News1Si
Signals – An App for Retrospectives18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Signals – An App for Retrospectives
Hacker News1ExitSign10%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Quiet quitting, made visible.
Indie HackersSH
SHOW HN: Is you website visible to LLMs?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SHOW HN: Is you website visible to LLMs?
Hacker News1Porfilr29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your work, finally visible
Indie Hackerscommitment-full-timeLighter Footprint44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Make your ecological footprint visible and actionable
Indie Hackers1b2cCo
Contrarian Signals – market sentiment indicators19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Contrarian Signals – market sentiment indicators
Hacker News1VisRank72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get your business visible on Google, AI search, and maps
Indie Hackers1aiAeomate13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We help companies become visible on AI
Indie HackersDr
Dropping SynthID from 188/192 to 0/192 without changing visible text42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dropping SynthID from 188/192 to 0/192 without changing visible text
Hacker News5