Growth Archive
Indie HackersAn archive of real-world B2B marketing examples.
I enjoy researching and curating real-world B2B marketing strategies. I like to use Growth Archive as an open notebook for my own ventures. You can find them here: [growtharchive.xyz](growtharchive.xyz)
Share cardActual performance
4followers
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto57%57% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
My
My Mercurial Archive55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Mercurial Archive
Hacker News2Pr
Prodhunt – Producthunt Archive52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Prodhunt – Producthunt Archive
Hacker News1Gi
Gist Archive46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gist Archive
Hacker News2Ma
MajinBook = Anna's Archive and Goodreads55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MajinBook = Anna's Archive and Goodreads
Hacker News7An
An annotated archive of S-1 filings, with hindsight55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An annotated archive of S-1 filings, with hindsight
Hacker News2Prodhunt31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Producthunt Archive
Indie Hackers6$21/moadvertisingMarketing Examples44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Real World Marketing Examples.
Indie Hackers269$2,500/mocommunityAr
Archive of Web62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Archive of Web
Hacker News2
Knarf Archive – Astra Challenge58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turning a real-world archive into a verifiable AI index.
Product Hunt+1IH
IHME Model Archive57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
IHME Model Archive
Hacker News3